Artisanal gold mining, a labor-intensive and antiquated technique, is a growing industry and the source of income for rural communities all over the world. However, artisanal gold mining has potential negative and long-term effects on economy, environment, and society. This study collected soil samples from 16 sample points including a control point to examine the pollution degrees and spatial distribution of heavy metals, as well as ecological and health risks associated with heavy metal pollution in the Ijero-Ekiti mining site, Nigeria. Geographical Information System (GIS) and remote sensing technologies were used to identify regions with high concentrations of heavy metals and assess the environmental impact of gold mining activities. The results show that the mean heavy metal concentrations of 16 soil pointa are 8.94 (±5.97) mg/kg for As, 0.18 (±0.54) mg/kg for Cd, 0.11 (±1.06) mg/kg for Co, 14.32 (±3.43) mg/kg for Cr, 6.89 (±0.64) mg/kg for Cu, 48.92 (±11.77) mg/kg for Fe, 135.81 (±30.75) mg/kg for Mn, 5.92 (±0.96) mg/kg for Ni, 5.72 (±1.66) mg/kg for Pb, and 13.94 (±1.38) mg/kg for Zn. The study reveals that heavy metal concentration in soils follows the order of Mn>Fe>Cr>Zn>As>Cu>Ni>Pb>Co>Cd. An analysis of soil samples indicates that 3 principal components (PCs) account for 70.008% of the total variance and there are strong positive correlations between various pairs of heavy metals. The total potential ecological risk index (309.599) in the study area is high. Non-carcinogenic risk suggests that there may be long-term health impacts on people who work in the mining areas due to chronic exposure to the environment. Based on the study, the hazard index of carcinogenic health risks associated with heavy metals through ingestion is 520.00×10^-4. Dermal contact from As and Cr also increases the risk of cancer, with the highest hazard index value of 18.40×10^-4. The lowest exposure pathway, with the hazard index value of 0.68×10^-4, indicates that the inhalation of heavy metals has a comparatively low risk of cancer. This study recommends the formulation of policies to monitor the Ijero-Ekiti mining site and other regions in Nigeria where indiscriminate artisanal gold mining activities exist.

The abandonment of date palm grove of the former Al-Ahsa Oasis in the eastern region of Saudi Arabia has resulted in the conversion of delicate agricultural area into urban area. The current state of the oasis is influenced by both expansion and degradation factors. Therefore, it is important to study the spatiotemporal variation of vegetation cover for the sustainable management of oasis resources. This study used Landsat satellite images in 1987, 2002, and 2021 to monitor the spatiotemporal variation of vegetation cover in the Al-Ahsa Oasis, applied multi-temporal Normalized Difference Vegetation Index (NDVI) data spanning from 1987 to 2021 to assess environmental and spatiotemporal variations that have occurred in the Al-Ahsa Oasis, and investigated the factors influencing these variation. This study reveals that there is a significant improvement in the ecological environment of the oasis during 1987-2021, with increase of NDVI values being higher than 0.10. In 2021, the highest NDVI value is generally above 0.70, while the lowest value remains largely unchanged. However, there is a remarkable increase in NDVI values between 0.20 and 0.30. The area of low NDVI values (0.00-0.20) has remained almost stable, but the region with high NDVI values (above 0.70) expands during 1987-2021. Furthermore, this study finds that in 1987-2002, the increase of vegetation cover is most notable in the northern region of the study area, whereas from 2002 to 2021, the increase of vegetation cover is mainly concentrated in the northern and southern regions of the study area. From 1987 to 2021, NDVI values exhibit the most pronounced variation, with a significant increase in the “green” zone (characterized by NDVI values exceeding 0.40), indicating a substantial enhancement in the ecological environment of the oasis. The NDVI classification is validated through 50 ground validation points in the study area, demonstrating a mean accuracy of 92.00% in the detection of vegetation cover. In general, both the user’s and producer’s accuracies of NDVI classification are extremely high in 1987, 2002, and 2021. Finally, this study suggests that environmental authorities should strengthen their overall forestry project arrangements to combat sand encroachment and enhance the ecological environment of the Al-Ahsa Oasis.

“Human-elephant conflict (HEC)”, the alarming issue, in present day context has attracted the attention of environmentalists and policy makers. The rising conflict between human beings and wild elephants is common in Buxa Tiger Reserve (BTR) and its adjoining area in West Bengal State, India, making the area volatile. People’s attitudes towards elephant conservation activity are very crucial to get rid of HEC, because people’s proximity with wild elephants’ habitat can trigger the occurrence of HEC. The aim of this study is to conduct an in-depth investigation about the association of people’s attitudes towards HEC with their locational, demographic, and socio-economic characteristics in BTR and its adjoining area by using Pearson’s bivariate chi-square test and binary logistic regression analysis. BTR is one of the constituent parts of Eastern Doors Elephant Reserve (EDER). We interviewed 500 respondents to understand their perceptions to HEC and investigated their locational, demographic, and socio-economic characteristics including location of village, gender, age, ethnicity, religion, caste, poverty level, education level, primary occupation, secondary occupation, household type, and source of firewood. The results indicate that respondents who are living in enclave forest villages (EFVs), peripheral forest villages (PFVs), corridor village (CVs), or forest and corridor villages (FCVs), mainly males, at the age of 18-48 years old, engaged with agriculture occupation, and living in kancha and mixed houses, have more likelihood to witness HEC. Besides, respondents who are illiterate or at primary education level are more likely to regard elephant as a main problematic animal around their villages and refuse to participate in elephant conservation activity. For the sake of a sustainable environment for both human beings and wildlife, people’s attitudes towards elephants must be friendly in a more prudent way, so that the two communities can live in harmony.

The county (city) located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region, China in poverty alleviation. Its Sustainable Development Goals (SDGs) are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region. This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’ SDGs. The aim of this study is to quantitatively assess the progress of SDGs at the county (city) level on the northern slope of the Kunlun Mountains. The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains. Notable high scores of SDGs are observed in the central and eastern regions, whereas lower scores are prevalent in the western areas. The scores of SDGs, in descending order, are as follows: 62.22 for Minfeng County, 54.22 for Hotan City, 50.21 for Qiemo County, 42.54 for Moyu County, 41.56 for Ruoqiang County, 41.39 for Qira County, 39.86 for Lop County, 38.25 for Yutian County, 38.10 for Pishan County, and 36.87 for Hotan County. The performances of SDGs reveal that Hotan City, Lop County, Minfeng County, and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color. However, Hotan County, Moyu County, Qira County, and Yutian County show the poorest performance, as they lack SDGs with green color. It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries, sustained improvement in the capacity of rural governance, and the gradual improvement of social security system. These measures will facilitate the effective implementation of SDGs. Finally, this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes. In addition, these results hold significant reference value for assessing SDGs at the county (city) level, particularly in areas characterized by low levels of economic development.

Jeneberang watershed is vital, particularly for people living in Gowa Regency (South Sulawesi Province, Indonesia), who benefit from its many advantages. Landslides and floods occur every year in the Jeneberang watershed, so it is imperative to understand the socio-economic vulnerability of this region. This research aims to identify the vulnerability level of the Jeneberang watershed so that the government can prioritize areas with high vulnerability level and formulate effective strategies to reduce these the vulnerability. Specifically, this study was conducted in 12 districts located in the Jeneberang watershed. The primary data were collected from questionnaires completed by community members, community leaders, and various stakeholders, and the secondary data were from the Landsat satellite imagery in 2020, the Badan Push Statistic of Gowa Regency, and some governmental agencies. The socio-economic vulnerability variables were determined using the Multiple Criteria Decision Analysis (MCDA) method, and each variable was weighted and analyzed using the Geographical Information System (GIS). The study reveals that the levels of socio-economic vulnerability are affected by variables such as population density, vulnerable groups (disabled people, elderly people, and young people), road network and settlement, percentage of poor people, and productive land area in the Jeneberang watershed. Moreover, all of the 12 districts in the Jeneberang watershed are included in the medium vulnerability level, with the mean percentage of socio-economic vulnerability around 50.92%. The socio-economic vulnerability of Bajeng, Pallangga, and Somba Opu districts is categorized at high level, the socio-economic vulnerability of Bungaya, Parangloe, and Tombolo Pao districts is classified as medium level, and the remaining 6 districts (Barombong, Bontolempangan, Bontomarannu, Manuju, Parigi, and Tinggimoncong) are ranked as low socio-economic vulnerability. This study can help policy-makers to formulate strategy that contributes to the protection of biodiversity and sustainable development of the Jeneberang watershed, while improving disaster resilience and preparedness of the watershed.

Peri-urban areas are playing an increasingly crucial role in the agricultural development and intensification in Indonesia. Peri-urban agriculture is highly vulnerable to change compared with urban and rural agriculture, due to its location in transitional areas. Indicators of peri-urban agricultural intensity can help guide regional development. In this study, we assessed the sustainability of peri-urban areas based on agricultural intensity in Karawang Regency, Indonesia. We developed a village-based index to assess the region’s agricultural intensity by rescaling the village agriculture index (VAI) and combining the local sustainability index (LSI) with factor analysis. Since the unit of analysis is the village, we modified the LSI to the village sustainability index (VSI). In addition, we also developed a logical matrix analysis to determine the level of agricultural sustainability (LoAS) of each village. The combined results of the three indices (VAI, VSI, and LoAS) generated information about agricultural sustainability. The results indicated that peri-urban villages with high agricultural intensity tended to exhibit low levels of social welfare, economic development, and disaster risk. Moreover, high agricultural intensity did not necessarily ensure the prosperity of the people. Instead, there was the economic disparity among the villages in the study area. Encouraging diversity of agricultural intensity seems to be more critical than promoting agricultural intensity itself. Overall, this study highlights the distinctive characteristics and dynamic of peri-urban areas. New approaches, variables, and information regarding the combination of agricultural intensity and sustainability need to be developed as valuable tools for regional planning.

Human activities to improve the quality of life have accelerated the natural rate of soil erosion. In turn, these natural disasters have taken a great impact on humans. Human activities, particularly the conversion of vegetated land into agricultural land and built-up area, stand out as primary contributors to soil erosion. The present study investigated the risk of soil erosion in the Irga watershed located on the eastern fringe of the Chota Nagpur Plateau in Jharkhand, India, which is dominated by sandy loam and sandy clay loam soil with low soil organic carbon (SOC) content. The study used the Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS) technique to determine the rate of soil erosion. The five parameters (rainfall-runoff erosivity (R) factor, soil erodibility (K) factor, slope length and steepness (LS) factor, cover-management (C) factor, and support practice (P) factor) of the RUSLE were applied to present a more accurate distribution characteristic of soil erosion in the Irga watershed. The result shows that the R factor is positively correlated with rainfall and follows the same distribution pattern as the rainfall. The K factor values in the northern part of the study area are relatively low, while they are relatively high in the southern part. The mean value of the LS factor is 2.74, which is low due to the flat terrain of the Irga watershed. There is a negative linear correlation between Normalized Difference Vegetation Index (NDVI) and the C factor, and the high values of the C factor are observed in places with low NDVI. The mean value of the P factor is 0.210, with a range from 0.000 to 1.000. After calculating all parameters, we obtained the average soil erosion rate of 1.43 t/(hm²•a), with the highest rate reaching as high as 32.71 t/(hm²•a). Therefore, the study area faces a low risk of soil erosion. However, preventative measures are essential to avoid future damage to productive and constructive activities caused by soil erosion. This study also identifies the spatial distribution of soil erosion rate, which will help policy-makers to implement targeted soil erosion control measures.

Coordinative development across various systems, particularly the economic, social, cultural, and human resources subsystems, is a key aspect of urban sustainability and has a direct impact on the quality of urbanization. The Hangzhou Metropolitan Circle, comprising Hangzhou City, Huzhou City, Jiaxing City, and Shaoxing City, was the first metropolitan circle approved by the National Development and Reform Commission (NDRC) as a demonstration of economic transformation in China. To evaluate the coupling coordination degree of the four cities and analyze the coordinative development in three systems (including digital economy, regional innovation, and talent employment), we collected panel data during 2015-2022 from these four cities. The development level of the three systems was evaluated by the standard deviation method and comprehensive development index. The results are as follows: (1) the level of coupling coordinated development of the three systems in the Hangzhou Metropolitan Circle was relatively low; (2) the coupling coordination degree of the four cities in the Hangzhou Metropolitan Circle showed significant regional differences, among which Hangzhou City was in the leading position, and Huzhou, Jiaxing, and Shaoxing cities made steady but slow progress in the coupling development of the three systems; and (3) the development of digital economy and talent employment needs to be strengthened. This study contributes to the coordinative development of Hangzhou Metropolitan Circle by innovatively focusing on the coupling coordination relationship among digital economy, regional innovation, and talent employment, which also meets the industrial layout of Hangzhou Metropolitan Circle. In this way, the optimal allocation and sustainable development of digital economy, regional innovation, and talent employment in the Hangzhou Metropolitan Circle can be achieved.

Rural areas are crucial for a country’s sustainable economy. New strategies are needed to develop rural areas to improve the well-being of rural population and generate new job opportunities. This is especially important in countries where agricultural production accounts for a significant share of the gross product, such as Russia. In this study, we identified the key indicators of satisfaction and differences between rural and urban citizens based on their social, economic, and environmental backgrounds, and determined whether there are well-being disparities between rural and urban areas in the Stavropol Territory, Russia. We collected primary data through a survey based on the European Social Survey framework to investigate the potential differences between rural and urban areas. By computing the regional well-being index using principal component analysis, we found that there was no statistically significant difference in well-being between rural and urban areas. Results of key indicators showed that rural residents felt psychologically more comfortable and safer, assessed their family relationships better, and adhered more to traditions and customs. However, urban residents showed better economic and social conditions (e.g., infrastructures, medical care, education, and Internet access). The results of this study imply that we can better understand the local needs, advantages, and unique qualities, thereby gaining insight into the effectiveness of government programs. Policy-makers and local authorities can consider targeted interventions based on the findings of this study and strive to enhance the well-being of both urban and rural residents.

Higher education plays an important role in all aspects of sustainability. Infusing climate change and sustainability into the curriculum is important to prepare future health-care professionals for climate change and sustainability actions to build resilient health systems. In this study, we evaluated the preparedness, knowledge, and perception regarding climate change and its impact on human health among Indian nursing students. A quantitative descriptive survey was conducted among 644 undergraduate nursing students studying in three institutes in the southern, northern, and western parts of India. We used a structured online questionnaire with established validity and reliability to collect data. The data were analyzed using Statistical Package for the Social Sciences version 26 software. The results showed that more than half of the students reported experiencing excessive increase (362; 56.2%) and decrease (374; 58.1%) in temperature in recent years. Though more than three quarters of the students (494; 76.7%) accepted the general truth that climate change is mainly caused by human activities, only less than half of the students (309; 48.0%) perceived the impact of climate change to be high. Three quarters of the students (483; 75.0%) had a high level of knowledge regarding climate change. The students who had a high level of knowledge about climate change exerted a high perceived impact of climate change (χ²=75.47; P<0.01). More than half of the students (50.9%) felt that they needed information about climate change to be included in the nursing curriculum, and only one sixth of the students (16.1%) were highly confident about engaging in climate change-related conversation with patients. Most of the students who participated in the study had basic knowledge about climate change and its impact on human health. However, there is an observed gap between knowledge and their preparedness and confidence to engage in climate change actions. Hence, we propose to strengthen the nursing curriculum by integrating various curricular and co-curricular activities related to climate change, so that future nurses are empowered to become climate change advocates.

The Shanghai Cooperation Organisation (SCO) is the most extensive and populous comprehensive regional cooperation organization in the world, covering about half of the world's population, with not only a huge consumer market, but also rich natural resources and strong productivity. As one of the important platforms for the implementation of the Green Belt and Road Initiative, it is an important opportunity for the SCO to actively participate in global governance and contribute to building a community of global life. To investigate the status of biodiversity conservation in the SCO countries, we used literature analysis approach. We surveyed the performance and international cooperation status of the SCO countries in the implementation of the Convention on Biological Diversity (CBD), listed facing problems and threats to biodiversity conservation, including not optimistic biodiversity conservation project implementation status, contradiction between ecological protection and economic development, impacts of human activities, lack of funds and talents, etc., and analyzed the biodiversity protection needs of the SCO countries from the perspectives of project and policy implementation status and international cooperation. According to the cooperation between China and the other SCO countries on biodiversity conservation and the post-2020 global biodiversity framework goals, we gave some recommendations: (1) promoting access to genetic resources and benefit-sharing; (2) integrating multiple funds and innovating the implementation of funding mechanism; (3) developing talent training and exchange programs and deepening multilateral cooperation; (4) strengthening cross-border cooperation and improving cooperation network; and (5) establishing a coordination mechanism for biodiversity conservation within the framework of the SCO.

Multiple ecological and socioeconomic problems have occurred worldwide, raising the awareness of sustainability. This study aims to examine the impact of taxes on Sustainable Development Goals (SDGs) in the context of Organization for Economic Co-operation and Development (OECD) countries. This research used effective average tax (EAT), tax on personal income (TPI), tax on corporate profits (TCP), and tax on goods and services (TGS) as the variables of taxes, and employed secondary data from 38 OECD countries covering 2000-2021. The study also used Breusch-Pagan Lagrange Multiplier (LM), Pesaran Scaled LM, Bias-Corrected Scaled LM, and Pesaran Cross-sectional dependence (CSD) tests to analyze the existence of cross-sectional dependency. Then, we established the stationarity of variables through second-generation panel unit root tests (Cross-sectional Augmented Dickey-Fuller (CADF) and Cross-sectional Im, Pesaran, and Shin (CIPS)), and confirmed the long-run cointegration of the variables by using second-generation panel cointegration test (Westerlund cointegration test). The results showed that EAT, TPI, TCP, and TGS are positively associated with SDGs. However, the change in TPI has a smaller effect on SDGs than the change in EAT or TCP or TGS. The result of panel causality indicated that EAT, TPI, and TGS have a unidirectional causal relationship with SDGs. The study also found that TCP has a bi-directional causal relationship with SDGs. Moreover, the finding indicated that the OECD countries need to focus on tax policies to achieve the 2030 Agenda for Sustainable Development. This study is based on the theory of optimal taxation (TOT), which suggests that tax systems should be designed to maximize social welfare. Finally, we suggests the importance of taking a comprehensive approach for the managers and policy-makers when analyzing the impact of taxes on SDGs.

The escalating conflict between human and wildlife due to competing demands for limited space and resources has raised concerns worldwide, and understanding the dynamics of this conflict is crucial for devising effective strategies and policies. The present study is an attempt to carry out a bibliometric analysis of the published literature on the topic of human-wildlife conflict (HWC) for the period of January 1991-February 2023. For carrying out the analysis of the data obtained from Web of Science, the ‘Bibliometrix’ tool, developed through the R programming language, was used. The findings of the study revealed that a total of 1592 documents have been published on the HWC research topic from January 1991 to February 2023 within 338 sources. It is observed that the number of publications has continuously increased since 1991, with an annual growth rate of 5.16%. A total of 4995 authors have contributed to the targeted research field. Of the 388 sources, the journal ‘Biological Conservation’ is the most relevant and productive, followed by ‘Oryx’ and ‘Human Dimensions of Wildlife’. Based on the country production analysis, authors from 110 countries have contributed to the field, and the USA has the highest frequency of publications on HWC, followed by the UK and Australia. The USA also has the highest multiple country publications and has collaborated with 88 countries, with the highest frequency of collaboration with the UK, followed by India, Australia, and South Africa. The most frequently used keywords include ‘human-wildlife conflict’, ‘conservation’, ‘conflict’, ‘human-wildlife’, ‘wildlife’, ‘wildlife management’, ‘livestock’, ‘management’, ‘coexistence’, and ‘carnivore’. The present study identifies the most prolific authors, sources, institutions, and countries, as well as the study hotspots in the subject of HWC, which may assist researchers in finding the best working and publication platforms. Further, it may also help them identify reliable research partners to acquire the best findings and develop more effective strategies and policies to address the issue.

This study aims to analyze how park households perceive the economic, socio-cultural, and environmental impacts of ecotourism in Simien Mountain National Park (SMNP), Ethiopia. We combined qualitative and quantitative techniques for data collection. A sequentially embedded mixed design that gives priority to quantitative data was used. We also employed a multistage sampling technique to select respondents from three districts or woredas, namely Debark, Janamora, and Beyeda woredas. Finally, 397 participants were involved in the study from a random selection of three villages from each district or woreda. Data were gathered using a survey questionnaire, interviews, and focus group discussions. Data were analyzed using both descriptive and inferential statistical methods, including means, standard deviations, analysis of variance (ANOVA), and logistic regression models. The findings from a logistic regression analysis revealed that ecotourism participation had a significant relationship with gender (B=1.850, P=0.023), level of education (B=0.238, P=0.032), geographical location (B=0.420, P=0.041), and occupation (B=0.920, P=0.019). This investigation suggested that males and individuals with a higher educational background are more likely to possess optimistic perspectives concerning the impacts of ecotourism. Furthermore, individuals residing in districts relatively near ecotourism destinations, those engaged in tourism-related work, and younger participants were recognized as having optimistic viewpoints regarding the impacts of ecotourism. In conclusion, the study highlighted the need for collaborative efforts among stakeholders to maximize ecotourism’s benefits and minimize negative effects in SMNP. To achieve this, it is recommended that the Ethiopian Wildlife Conservation Agency, the Ministry of Tourism, and local government should work together to develop sustainable tourism plans that enhance local livelihoods and park conditions. Efforts should focus on increasing the participation of females and individuals with lower education levels through training and resource provision.

Analyzing agricultural sustainability is essential for designing and assessing rural development initiatives. However, accurately measuring agricultural sustainability is complicated since it involves so many different factors. This study provides a new suite of quantitative indicators for assessing agricultural sustainability at regional and district levels, involving environmental sustainability, social security, and economic security. Combining the Pressure-State-Response (PSR) model and indicator approach, this study creates a composite agricultural sustainability index for the 14 mainstream agro-climatic regions of India. The results of this study show that the Trans-Gengatic Plain Region (TGPR) ranks first in agricultural sustainability among India's 14 mainstream agro-climatic regions, while the Eastern Himalayan Region (EHR) ranks last. Higher livestock ownership, cropping intensity, per capita income, irrigation intensity, share of institutional credit, food grain productivity, crop diversification, awareness of minimum support price, knowledge sharing with fellow farmers, and young and working population, as well as better transportation facilities and membership of agricultural credit societies are influencing indicators responsible for higher agricultural sustainability in TGPR compared with EHR. Although, the scores of environmental sustainability indicators of EHR are quite good, its scores of social and economic security indicators are fairly low, putting it at the bottom of the rank of agricultural sustainability index among the 14 mainstream agro-climatic regions in India. This demonstrates the need of understanding agricultural sustainability in relation to social and economic dimensions. In a nation as diverse and complicated as India, it is the social structure that determines the health of the economy and environment. Last but not least, the sustainability assessment methodology may be used in a variety of India's agro-climatic regions.

Rural sustainable land use (RSLU) is important to China’s implementation of the UN 2030 Agenda for Sustainable Development Goals and the goals of rural revitalization strategy in China. Research on RSLU is key to understanding the impact of human activities on rural sustainability. This paper explored the evaluation method of RSLU from a system perspective based on the ecosystem service value (ESV). Three systems were proposed for consideration when conducting this evaluation method. One was the sustainability of the land system, the other was the sustainability of the eco-economic system, and the rest was the sustainability of the land-eco-economy system. Indicators including (1) land use intensity and land system stability, (2) gross domestic production (GDP), ESV, and the eco-economic harmony degree (EEHD), and (3) coupling degree and coupling coordination degree were used to analyze the sustainability of the land, eco-economic, and land-eco-economic systems, respectively. An empirical research on Yanhe eco-village was conducted and the study period extended from 2008 to 2020. The results showed that forest land had always accounted for more than 81.20% of the total area in Yanhe eco-village from 2008 to 2020, which greatly influenced land system stability and restricted economic development. This feature contrasted with RSLU. The total ESV of Yanhe eco-village declined by 1.60×10⁶ CNY during 2008-2020 because of land use changes. The EEHD was -0.01, which presented that there was a very slight unharmonious between ecology and economy. The coupling degree and coupling coordination degree showed that the development between the land and eco-economic systems exhibited a coupling coordination relationship. The results indicated that ecology and economy in Yanhe eco-village will change significantly in response to land use changes in rural areas, which further revealed the dynamic linkage between human beings and nature. Moreover, opposite variation tendencies in land system stability and ESV revealed that the contradiction between the high stability of the land system and well development of the eco-economic system. The results of this study implied that it is necessary and useful to integrate ESV into land management to achieve RSLU.

The persistent environmental problems and the growing difficulty to achieve sustainable development require a re-evaluation of person’ sustainable knowledge, attitude, and behaviour. To go to where we want to go, we must first assess where we are now. The study investigated the level of sustainability consciousness of students in India, and sustainability consciousness was expressed in sustainability knowledge, attitude, and behaviour. Sustainability consciousness was further examined using the three dimensions, such as environment, society, and economy. By drawing the perception map of students and studying the role of the locus of control, the reasons why sustainability knowledge does not appear in sustainability behaviour were analyzed. Quantitative analysis was conducted for a sample of 205 students from higher educational institutions across central India (Madhya Pradesh) from January to March in 2022. The data were analyzed using the SPSS 26 and Smart Partial Least Square (PLS) 3.0. The research revealed that sustainability attitude impacts sustainability behaviour more than sustainability knowledge. The results showed that respondents’ sustainability knowledge is higher than their sustainability attitude and behaviour. Moreover, it was discovered that economic concerns can lead to sustainability behaviour. In order to study respondents’ behaviour regarding sustainability consciousness, the study divided respondents into two groups according to the locus of control: the internal and external locus of control. It was found that most respondents thought whatever happened around them was beyond their control. Further, the locus of control influenced sustainability behaviour in groups with the internal locus of control. The study helps to explain why sustainability knowledge and attitude cannot translate into sustainability behaviour and provides a basis for achieving sustainable development. The conclusions of this study are crucial for governments, educational institutions, and organizations that empower youth to change their behaviour.

The energy demand in Australia is increasing with the industrialization and rapid economic growth. This study analyzed the relationships among the economic growth, Foreign Direct Investment (FDI), trade openness, urbanization, and energy usage in Australia based on the data from World Development Indicators (WDI) from 1972 to 2021. The results indicates that there is a cointegration among economic growth, FDI, trade openness, urbanization, and energy usage, which was traced through the autoregressive-distributed lag (ARDL). The Zivot-Andrews unit root test reveals that energy usage, economic growth, FDI, urbanization, and trade openness show significant structural breaks in 1993, 1996, 1982, 2008, and 1994, respectively. The ARDL model shows that economic growth has a positive and significant effect on energy usage in the long-run (0.814) and short-run (0.809). Moreover, the results also show that FDI (0.028) and trade openness (0.043) have positive impacts on energy usage in the long-run. However, urbanization shows a negative and significant influence on energy usage in the long-run (-0.965). Then, the research demonstrates a unidirectional causation between energy usage and trade openness, with energy usage significantly causing trade openness. The current study endorses energy consumption policies and investment strategies for a paradigm shifting from a reliance on fossil fuels as the primary energy source to renewable energy sources. These findings have profound implications for sustainable energy usage.

The exchanges between cities and counties in the northern slope economic belt of Tianshan Mountains (NSEBTM) are increasingly frequent and the economic linkages are increasingly close, but the spatial distribution of economic development and linkages among the cities and counties within NSEBTM is uneven. Therefore, it is of great significance to study the evolution of spatial-temporal pattern of the economic linkage network of cities and counties on NSEBTM to promote the coordinated and integrated development of the regional economy on NSEBTM. In this study, we used the modified gravity model and social network analysis method to analyze the spatio-temporal evolution characteristics of the economic linkage network structure of cities and counties on NSEBTM in 2000, 2010, and 2020. The results showed that the comprehensive development quality level of cities and counties on NSEBTM increased from 2000 to 2020, its growth rate also increased, and its gap between cities and counties continued expanding. Both the spatial distribution patterns of the comprehensive development quality level of cities and counties on NSEBTM in 2000 and 2010 were presented as “high in the middle and low at both ends”, while the spatial distribution pattern of 2020 was exhibited as “high value and low value staggered”. The total amount of external economic linkages of cities and counties on NSEBTM showed an obvious upward trend, and its gap between cities and counties continued expanding, presenting a pattern of “a strong middle section and weak ends”. The direction of economic linkages of NSEBTM existed obvious central orientation and geographical proximity. The density of economic linkage network of NSEBTM increased from 2000 to 2020, and the structure of economic linkage network changed from single-core structure centered with Urumqi City to multicore structure centered with Urumqi City, Karamay City, Shihezi City, and Changji City, shifting from unbalanced development to balanced development. In the future, we should accelerate the construction of urban agglomeration on NSEBTM, cultivate a modern Urumqi metropolitan area, improve comprehensive development quality of the cities and counties at the eastern and western ends, strengthen the intensity of economic linkages between cities and counties, optimize the economic linkage network, and promote the coordinated and integrated development of regional economy.

The development of rural areas usually has a positive impact on the urban-rural integration. This study explores an innovative approach to stimulate rural development by proposing qualified villages as central villages that can provide basic urban services for their residents and residents of neighboring villages. This approach can contribute to overcoming the various problems that rural areas faced at the social, economic, and environmental levels. It seeks to achieve spatial sustainability of rural areas, representing a new approach by integrating urban development methods to revitalize rural villages. The study analyzed 15 villages belonging to Abbasiya District of AL Kufa City in the Najaf Governorate of Iraq. Based on the GIS techniques and the analysis of urban service indicators (village population, percentage of urban building materials used in villages, distance between village and health centers, distance between village and main roads, nature of economic activity, distance between village and educational institutions, distance between village and drinking water sources, number of communication towers, and distance between village and urban administrative center), this study proposed that Abu Gharb and Albu Ghraib can served as central villages in Abbasiya District in the future. This study establishes a new rural spatial structure to achieve rural sustainable development, improves the development status of rural areas, and provides a theoretical basis for the government and relevant institutions to use urban service indicators, achieving rural sustainable development and formulating relevant development policies in Abbasiya District.

Individuals, local communities, environmental associations, private organizations, and public representatives and bodies may all be aggrieved by environmental problems concerning poor air quality, illegal waste disposal, water contamination, and general pollution. Environmental complaints represent the expressions of dissatisfaction with these issues. As the time-consuming of managing a large number of complaints, text mining may be useful for automatically extracting information on stakeholder priorities and concerns. The paper used text mining and semantic network analysis to crawl relevant keywords about environmental complaints from two online complaint submission systems: online claim submission system of Regional Agency for Prevention, Environment and Energy (Arpae) (“Contact Arpae”); and Arpae's internal platform for environmental pollution (“Environmental incident reporting portal”) in the Emilia-Romagna Region, Italy. We evaluated the total of 2477 records and classified this information based on the claim topic (air pollution, water pollution, noise pollution, waste, odor, soil, weather-climate, sea-coast, and electromagnetic radiation) and geographical distribution. Then, this paper used natural language processing to extract keywords from the dataset, and classified keywords ranking higher in Term Frequency-Inverse Document Frequency (TF-IDF) based on the driver, pressure, state, impact, and response (DPSIR) framework. This study provided a systemic approach to understanding the interaction between people and environment in different geographical contexts and builds sustainable and healthy communities. The results showed that most complaints are from the public and associated with air pollution and odor. Factories (particularly foundries and ceramic industries) and farms are identified as the drivers of environmental issues. Citizen believed that environmental issues mainly affect human well-being. Moreover, the keywords of “odor”, “report”, “request”, “presence”, “municipality”, and “hours” were the most influential and meaningful concepts, as demonstrated by their high degree and betweenness centrality values. Keywords connecting odor (classified as impacts) and air pollution (classified as state) were the most important (such as “odor-burnt plastic” and “odor-acrid”). Complainants perceived odor annoyance as a primary environmental concern, possibly related to two main drivers: “odor-factory” and “odors-farms”. The proposed approach has several theoretical and practical implications: text mining may quickly and efficiently address citizen needs, providing the basis toward automating (even partially) the complaint process; and the DPSIR framework might support the planning and organization of information and the identification of stakeholder concerns and priorities, as well as metrics and indicators for their assessment. Therefore, integration of the DPSIR framework with the text mining of environmental complaints might generate a comprehensive environmental knowledge base as a prerequisite for a wider exploitation of analysis to support decision-making processes and environmental management activities.

Agroforestry can leverage the co-benefits of climate change adaptation and mitigation while conserving biodiversity and restoring degraded and deforested lands. The preference of relevant stakeholders regarding agroforestry practices enhances sustainable land management through strategic decision-making in Seychelles and other island states. A suitable approach for assessing stakeholders’ preferences of agroforestry is the implementation of the strengths, weaknesses, opportunities, and threats (SWOT) approach in combination with the analytic hierarchy process (AHP) method. The entry point of this study is an extensive literature review process, during which 28 SWOT factors were identified. These SWOT factors were deliberated on during a half-day workshop with agricultural experts who agreed on 20 SWOT factors that reflect the local realities of the Seychelles through a consensus approach. Using the SWOT-AHP approach, focus group discussions were conducted to examine the perceptions of researchers and extension workers about the adoption of agroforestry in Seychelles. The results indicated that the positive aspects of smallholder agroforestry outweigh the negative aspects. For example, increased agricultural production, control runoff and soil erosion receive the highest scores among the strength factors perceived by researchers and extension workers, respectively. The willingness of international organizations to fund agroforestry-related projects and the existence of native tree species on farmlands have the highest scores among the opportunity factors. The lack of education, information, and communication between the government and farmers, and the small land size and crop competition have the highest scores among the weakness factors. Lastly, change in government policies on land use has the highest score among the threat factors by researchers, whereas the most significant threat is climate change and variability for the extension workers. The provision for a 30-year land lease agreement in the National Agroforestry Policy of Seychelles is viewed by both groups as an incentive that could potentially drive the adoption and acceptability of agroforestry. Furthermore, better coordination of various efforts to promote agroforestry and more substantial extension services for farmers, especially the role of technologies for optimal production on small plots of land, can enhance climate resilience in Seychelles and other small island developing states.

Climate change can have significant impacts on crop yields and food security. This study assessed the linkages between climate change and crop yields to obtain a better understanding on the drivers of food security. The study was conducted in Pasagaun village of Lamjung District in Nepal, where household surveys and focus group discussions (FGDs) were used to collect data including crop cultivation, irrigation facilities, and adaptation strategies. Moreover, climate data (temperature and precipitation) from 1992 to 2020 were collected from the Khudi Bazar meteorological station and crop yield data were obtained from the Agri-Business Promotion and Statistics Division. Trend analysis of temperature and precipitation was conducted using Mann-Kendall trend test and Sen’s slope method, and the results showed an increase in the average temperature of approximately 0.02°C/a and a decrease in the annual precipitation of 9.84 mm/a. The cultivation of traditional varieties of rice and foxtail millet (Kaguno) has vanished. Although, there was no significant impact of the maximum temperature on the yield of rice and maize, the regression analysis revealed that there are negative relationships between rice yield and annual minimum temperature (r= -0.44), between millet yield and annual precipitation (r= -0.30), and between maize yield and annual minimum temperature (r= -0.31), as well as positive relationship between rice yield and annual precipitation (r=0.16). Moreover, average rice yield and millet yield have decreased by 27.0% and 57.0% in 2000-2020, respectively. Despite other reasons for the decrease in crop yield such as the lack of irrigation facilities, out-migration of farmer, and increased pest infestation, respondents have adopted adaptation strategies (for example, shifts in cultivation time and changes in crop types) to minimize the impacts of climate change. More investigation and community-based farming education are needed to understand and alleviate the harmful impacts of climate change on crop yield, as effective adaptation coping strategies are still insufficient. This study provides insights into the adaptation strategies that are necessary to keep food security in the face of climate change.

Globally, economies have become complex and new technologies have transformed and facilitated the modernization of economies. In the previous literature, economic complexity approach has become one of the popular tools in the development and innovation studies of economic geography. Researchers have found that green technology and eco-innovation approaches should be used to decisively reduce the effects of carbon emissions on the environment. However, debates about the impact of economic complexity on environment remain unsettled since some emerging production technologies have far-reaching pollution effects. This study explored the impacts of economic complexity on environmental sustainability in Turkey using the novel Fourier-based approaches, namely: Fourier Augmented Dickey-Fuller (FADF) and Fourier Autoregressive-Distributed Lag (FARDL) models. The Fourier-based approaches indicated that all variables (economic complexity index (ECI), GDP, energy consumption, and CO₂ emission (CO₂E)) are cointegrated in the long run. Additionally, the FARDL model implied that (i) in the long run, the effect of ECI (as a proxy for economic complexity), GDP (as a proxy for economic growth), and energy consumption on CO₂E (as a proxy for environmental quality) are important; (ii) economic complexity decreases environmental degradation in Turkey; and (iii) economic growth and energy consumption negatively affect environmental quality. The results also showed that economic complexity could be used as a policy tool to tackle environmental degradation. The findings also revealed that the fossil fuel-based economy will continue to expand and undermine Turkey’s efforts to meet its net zero emission target by 2053. Therefore, policy-makers should take actions and establish diversified economic, environmental, and energy strategies. For policy insights, the Turkish governments can use the combination of tax exemptions and technical support systems to support knowledge creation and the diffusion of environmentally friendly technologies The governments can also impose strict environmental regulations on the knowledge development phases.

The ecology of Qilian Mountains has been seriously threatened by uncontrolled grazing and wasteland reclamation. This study examined the ecological changes on the southern slope of Qilian Mountains in China from the perspective of water conservation by classifying different clusters of water conservation functional areas to efficiently use limited human resources to tackle the water conservation protection problem. In this study, we used Integrate Valuation of Ecosystem Services and Tradeoffs (InVEST) model to estimate water conservation and analyzed the factors that influence the function. The results of this study include: (1) from 2000 to 2015, the water conservation of the southern slope of Qilian Mountains generally showed an increasing trend, and the total water conservation in 2015 increased by 42.18% compared with that in 2000. (2) Rainfall, fractional vegetation cover (FVC), and evapotranspiration have the most significant influence on the water conservation of the study area. Among them, water conservation is positively correlated with rainfall and FVC (P<0.05) and negatively correlated with evapotranspiration (P<0.05). (3) The importance level of water conservation functional areas gradually increases from northwest to southeast, and the region surrounding Menyuan Hui Autonomous County in the southeast of the southern slope of Qilian Mountains is the core water conservation functional area. And (4) the study area was divided into five clusters (Cluster I-Cluster V) of water conservation, with the areas of Clusters I through V accounting for 0.58%, 13.74%, 41.23%, 32.43%, and 12.01% of the whole study area, respectively.

Human activities have severely impacted on many species and ecosystems. Thus, understanding the local biodiversity situation is crucial for implementing effective biodiversity conservation interventions. Mindanao in the southern Philippines is home to various unique species, particularly in its pristine ecosystems. However, the available biodiversity data for many terrestrial vertebrates and key areas remain incomplete. To address this issue, we synthesized published literature related to biodiversity from 2000 to 2022 in Mindanao. Moreover, this analysis used four key terrestrial vertebrates (amphibians, reptiles, birds, and mammals) in Mindanao as research objects. According to our findings, there was a significant and positive correlation between the number of biodiversity studies and species recorded. In terms of species richness, birds were the most recorded group (n=334 spp.), followed by reptiles (n=108 spp.), mammals (n=70 spp.), and amphibians (n=52 spp.). We also found that the number of endemic and threatened species varies geographically and across taxonomic groups. Yet, we discovered a significant disparity in the information available on biodiversity in different provinces of Mindanao. For example, the western provinces of Mindanao have had no record of biodiversity for more than two decades. Furthermore, we found that the changes in tree cover loss were consistent with biodiversity records, but this correlation is only significant for birds. Finally, we highlighted some critical threats and challenges to biodiversity, including deforestation, agricultural expansion, mining, and their impact on biodiversity conservation in Mindanao. Our findings suggested that biodiversity conservation should focus not only on areas with high levels of biodiversity but also on areas lacking biodiversity information. To do this, we call for strengthening collaboration among various institutions and digitizing and centralizing of information related to biodiversity. By gaining a deeper understanding of biodiversity in Mindanao, we can better and sustainably protect critical ecosystems in this region from the increasing threats posed by human activities.

This study aims to assess the small ruminant value chain in Al-Ruwaished District, Jordan, to identify the potential intervention areas that could improve the production efficiency and guarantee the sustainability of the small ruminant sector in this area. Sheep breeding is the source of livelihood for most of the people in Al-Ruwaished District, which is characterized by the large number of sheep and goats. We surveyed 5.0% of the small ruminant holders in the study area and conducted individual interviews and surveys with the potential actors in the value chain to undertake a small ruminant value chain analysis. From the survey, we found that the small ruminant value chain consists of five core functions, namely, input supply, production management, marketing, processing, and consumption. Despite the stable impression given by the large number of holdings in the small ruminant sector, the surveyed results show a clear fragility in the value chain of small ruminants in this area. The small ruminant production system is negatively impacted by climate change, especially continuous drought. In addition, the high prices of feed that the farmer cannot afford with clear and real absence of the governmental and non-governmental support activities also impact the development of the value chain. The results of strengths, weaknesses, opportunities, and threats (SWOT) analysis reveal that the major constraints faced by this value chain could be divided into external and internal threats. Specifically, the most prominent external threats are the nature of the desert land and continuous drought, while the major internal threats are the absence of appropriate infrastructure, shortage of inputs, and weakness in the production management and marketing. We proposed solutions to these challenges to ensure the sustainability and effectiveness of the sector, such as the formulation of emergency response plans to severe weather, qualifying farmers’ skills, and establishment of agricultural cooperative societies.

The impacts of climate change on crop yields are receiving renewed interest, with focus on cereals and staple crops at the regional and national scales. Yet, the impacts of climate change on the yields of leguminous crops in the local context has not been explored. Thus, an in-depth understanding of climate change in the local context may support the design of locally relevant adaptation responses to current and future climate risks. This study examined the impacts of climate variables (annual rainfall, annual average temperature, rainfall indices (rainfall onset, rainfall cessation, and the length of rainy days), and the number of dry days) on the yields of leguminous crops (groundnuts, cowpeas, and soybeans) in the Guinea Savanna agroecological zone of Ghana during the period of 1989-2020. The data were analysed using Mann-Kendall’s trend, Sen’s slope test, correlation analysis, and Multiple Regression Analysis (MRA). The findings revealed that annual rainfall, annual average temperature, rainfall onset, rainfall cessation, and the length of rainy days, and the number of dry days all showed varied impacts on the yields of groundnuts, cowpeas, and soybeans. The trend analysis detected a marginal decrease in the amount of rainfall, rainfall onset, and the number of dry days from 1989 to 2020 (P>0.050). Annual average temperature and the length of rainy days substantially varied (P<0.050) from 1989 to 2020, showing an increasing trend. The findings also showed a marked upward trend for the yields of groundnuts, cowpeas, and soybeans during 2005-2020. The climate variables analysed above increased the yields of groundnuts, cowpeas, and soybeans by 49.0%, 55.0%, and 69.0%, respectively. The yields of groundnuts, cowpeas, and soybeans fluctuated with the variability of 30.0%, 28.0%, and 27.0% from 2005 to 2020, respectively. The three leguminous crops under study demonstrated unpredictable yields due to the variations of annual rainfall, annual average temperature, rainfall onset, rainfall cessation, the length of rainy days, and the number of dry days, which stressed the need for agricultural diversification, changing planting dates, using improved seed variety, and irrigation to respond to climate change. The results of this study implied that climate change considerably impacts crop production in the Guinea Savanna agroecological zone of Ghana, emphasizing the urgency of locally based and farmer-induced adaptation measures for food security and resilient agricultural systems.

The European Union (EU) and Organisation for Economic Co-operation and Development (OECD) aim to develop long-term policies for their respective member countries. Having observed increasing dangers to the environment posed by rising economic growth, they are seeking pathways to enable policy action on economic growth and environmental sustainability. Given the facts in theoretical and empirical studies, this study assessed the validity of the decoupling hypothesis by investigating asymmetricity in the relationship between environmental sustainability and economic growth in nine Eastern European countries from 1998 to 2017 using the cross-section augmented Dickey-Fuller (CADF) unit root, panel corrected standard error (PCSE), common correlated effect mean group (CCEMG), and Dumitrescu Hurlin causality approaches. Both population growth and drinking water are used as controlled variables. The outcomes establish strong cointegration among all the variables of interest. According to the results of CCEMG test, economic growth exerts short-term environmental degradation but has long-term environmental benefits in Eastern Europe; and population growth and drinking water exert a positive effect on environmental sustainability in both the short- and long-run. The results of Dumitrescu Hurlin causality test indicate that environmental sustainability is unidirectionally affected by economic growth. Based on these outcomes, we suggest the following policies: (1) the EU and OECD should implement member-targeted policies on economic growth and fossil-fuel use towards regulating industrial pollution, water use, and population control; and (2) the EU and OECD member countries should invest in environmental technologies through green research and development (R&D) to transform their dirty industrial processes and ensure productive energy use.

World experience indicates the existence of significant imbalances in the development of countries. The problem of assessing the rational development of the regional and national economy is becoming urgent, since such assessments can prevent development imbalances across countries. The aim of this study is to elaborate a methodology to assess the countries’ socio-economic development by integraring 12 modern indices of socio-economic development into the Composite Country Development Index (CCDI). The methodology of this research was based on a set of key indices that described socio-economic development level in four fields (social development, digital development, economic development, and environmental security) and then these indices were integrated into the CCDI. The study further applied factor analysis and R-Studio software to define the gaps of social and economic development in 59 selected countries using the trigonometric function of the angle sine. The correlation analysis confirmed the existence of a close interrelation among the studied countries. This paper noted that due to the emergence of new priorities, it is necessary to revise the assessment methodology of socio-economic development level and expand them to cover the decisive factors. This was confirmed by the results obtained, demonstrating various combinations of the development level in the four fields and their impact on the CCDI. The scientific contribution of this research is to form a methodology (e.g., the CCDI) for evaluating the socio-economic development level of countries in the world.

Within the inventory era, urban shrinkage characterized by economic decline and space decay has been widely witnessed in China. The modes and trajectories of urban redevelopment have thus become areas of major concern for both policymakers and scholars. Taking the multi-actor participation nature of redevelopment, this paper stemming from the game-theoretical approach demonstrates in empirical terms on two major fronts. First, the redevelopment of industrial land without the transfer of land use right is shown to be deadlocked by the incapacitation of the original land-user and unlocked with the participation of the new developer. Second, the preference of the original land-user to maximize its interests by operating by itself rather than continue to cooperate with the new developer is observed in the post-redevelopment stage. Therein, the entrepreneurial local government acts only as a “mediator” between the two market entities and tends not to directly intervene in their cooperation. Thus that, it is the reasonable distribution of potential benefits or the pricing of different rights in the land property right bundle rather than their definition that matters more for land redevelopment. Because the delineation of land property rights has never been a problem in a mature land market, particularly for stock industrial land.

Optimizing the function of ecosystem services (ESs) is vital for implementing regional ecological management strategies. In this study, we used multi-source data and integrated modelling methods to assess the spatiotemporal variations in eight typical ESs on the Chinese Loess Plateau from 2000 to 2015, including grain production, raw material provision, water conservation, carbon storage service, soil conservation, oxygen production, recreation, and net primary productivity (NPP) services. Then, we divided the ecosystem service bundles (ESBs) according to relationships among the eight ESs, obtaining four types of eco-functional areas at the county (city or banner or district) level based on the spatial clustering of similarities in different ES types. We also identified and assessed the contributions of influencing factors to these eco-functional areas using principal component analysis (PCA) across spatiotemporal scales. We found that the spatiotemporal variations in different ESs were noticeable, with an overall increase in grain production and soil conservation services, no significant change in carbon storage service, and overall decreases in raw material provision, water conservation, oxygen production, recreation, and NPP services. From 2000 to 2015, the number of significant synergistic ES pairs decreased, while that of significant trade-off pairs increased. To the changes of ESBs in the eco-functional areas, the results indicated that the indirect loss of these ESs from forest and grassland due to urban expansion should be reduced in ecological development area (ESB 2) and multi ecological functional area (ESB 3). Meanwhile, crop planting structures and planting densities should be adjusted to reduce ES trade-offs associated with water conservation service in grain-producing area (ESB 4). Lastly, ESB-based eco-functional zoning can be used to improve ecological restoration management strategies and optimize ecological compensation schemes in ecologically fragile area (ESB 1).

Sustainable development is the central theme of modern global development. With the arrival of the urban era, the vulnerability and instability of rural areas have significantly increased, and rural sustainable development faces serious challenges. To address these issues, the study took the Zaozhuang Innovation Demonstration Zone in China under the National Sustainable Development Agenda as a case, combined with economic, social and land use data during 2016-2020, and applied Granger causality test method to explore the theoretical and practical pathways of “innovation-driven rural sustainable development”. The results showed that rural sustainable development and economic sustainability displayed a trend of synergistic change, with “explosive” growth from 2018 to 2020. The social sustainability steadily increased from 2016 to 2020. Ecological and spatial sustainability continuously declined during the study period. Moreover, the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone displayed rapid growth during 2016-2020. Although the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone has rapidly improved, it has a weak driving effect on rural sustainable development and economic sustainability. There are two primary challenges that must be overcome to ensure the rural sustainable development of the Zaozhuang Innovation Demonstration Zone. The first challenge is the imbalance among the multi-dimensional relationships in the process of rural sustainable development, and the second challenge is the weakening of rural innovation capacity to drive rural sustainable development. To overcome these challenges, this study proposed a systematic pathway for rural sustainable development in the Zaozhuang Innovation Demonstration Zone from multi-dimensions, such as policy actions, technologies, projects, and institutional guarantees, and formed a universal and representative “Zaozhuang model”. This study expands the theoretical foundation of rural sustainable development and provides theoretical and practical support for innovation-driven rural sustainable development.

According to the United Nations Environmental Programme (UNEP), the world loses 1.0×10⁶ hm² forest land through deforestation annually. About 1.6×10⁶ people who depend on forests for livelihood are negatively affected by deforestation and forest degradation. The paper attempts to study the impact of forest governance, enforcement and socio-economic factors on deforestation and forest degradation at the local level in West Bengal State, India. The study was based on questionnaire survey data during 2020-2021 collected from three western districts (Purulia, Bankura, and Paschim Medinipur) where deforestation and poverty rates are higher than other districts in West Bengal State. The total number of selected villages was 29, and the total sample households were 693. A stratified random sampling technique was used to collect data, and a questionnaire was followed. Forest governance and enforcement indices were constructed using United Nation Development Programme (UNDP) methodology and a step-wise logistic regression model was used to identify the factors affecting deforestation and forest degradation. The result of this study showed that four factors (illegal logging, weak forest administration, encroachment, and poverty) are identified for the causes of deforestation and forest degradation. It is observed that six indices of forest governance (rule of law, transparency, accountability, participation, inclusiveness and equitability, and efficiency and effectiveness) are relatively high in Purulia District. Moreover, this study shows that Purulia and Bankura districts follow medium forest governance, while Paschim Medinipur District has poor forest governance. The enforcement index is found to be highest in Purulia District (0.717) and lowest for Paschim Medinipur District (0.257). Finally, weak forest governance, poor socio-economic conditions of the households, and weak enforcement lead to the deforestation and forest degradation in the study area. Therefore, governments should strengthen law enforcement and encourage sustainable forest certification schemes to combat illegal logging.

Fodder production in arid rangelands has been traditionally considered as the main source of nutrition for livestock. However, the production of these fodder may be influenced by some socio-economic and climatic factors. This study aims to identify the various rangeland use forms and determine the types of livestock feeding system in the El Ouara rangelands of Ben guarden District in southern Tunisia by analysing the importance of supplemental feeding and main determinants of this practice. Data were collected by a survey that targeted a sample of 50 breeders in the El Ouara rangelands. Descriptive statistics and binary logistic regression were used to analyse the data. The results showed that there are two types of association practiced by breeders: “Cherka” association practiced by 10.00% of breeders and cash payment association practiced by 53.00% of breeders. Then, transhumance, sedentary, and semi-urban forms are the main ways in which breeders use the rangelands. There are four livestock feeding systems in the El Ouara rangelands being used to feed livestock: natural rangeland, rangeland-based, mixed, and concentrate-based feeding systems. Supplemental feeding has become fundamental for the livestock feeding system in the El Ouara rangelands. The breeders with the largest camel size still use the natural rangeland feeding system, while the breeders who have the largest herd size practice the mixed feeding system. The logistic regression results reveal that breeder age, cereal area, herd size, migrant remittance, second activity, and agricultural development group membership can significantly impact the supplemental feeding. In summary, this study can help policy-makers plan innovative practices based on climatic change, ensure the sustainability of livestock feeding system, and make effective decisions for local development.

With accelerated urbanization and climate change, urban flooding is becoming more and more serious. Flood risk assessment is an important task for flood management, so it is crucial to map the spatial and temporal distribution of flood risk. This paper proposed an urban flood risk assessment method that takes into account the influences of hazard, vulnerability, and exposure, by constructing a multi-index urban flood risk assessment framework based on Geographic Information System (GIS). To determine the weight values of urban flood risk index factors, we used the analytic hierarchy process (AHP). Also, we plotted the temporal and spatial distribution maps of flood risk in Zhengzhou City in 2000, 2005, 2010, 2015, and 2020. The analysis results showed that, the proportion of very high and high flood risk zone in Zhengzhou City was 1.362%, 5.270%, 4.936%, 12.151%, and 24.236% in 2000, 2005, 2010, 2015, and 2020, respectively. It is observed that the area of high flood risk zones in Zhengzhou City showed a trend of increasing and expanding, of which Dengfeng City, Xinzheng City, Xinmi City, and Zhongmu County had the fastest growth rate and the most obvious increase. The flood risk of Zhengzhou City has been expanding with the development of urbanization. The method is adapted to Zhengzhou City and will have good adaptability in other research areas, and its risk assessment results can provide a scientific reference for urban flood management personnel. In the future, the accuracy of flood risk assessment can be further improved by promoting the accuracy of basic data and reasonably determining the weight values of index factors. The risk zoning map can better reflect the risk distribution and provide a scientific basis for early warning of flood prevention and drainage.

This study assesses the literature evidence on climate change risk, resilience, and adaptation measures used among rural farmers in East Africa. A systematic literature review was conducted comprising 30 papers from the Web of Science database published during 2000-2022. The results of the literature review showed that climate change risks have direct impacts on agricultural practices, limit rural farmers’ resilience, and exacerbate their food insecurity. The most prominent risks are increasingly shorter wet seasons and heat stress, which lead to droughts and food production losses. Responding to climate risks, farmers in East Africa adopt various adaptation strategies such as mixed- and inter-cropping, conservation tillage, early planting, crop diversification, etc. Also, this review summarizes the determinants of climate change adaptation strategy selection by farmers in East Africa, including age, gender, household size, economic status and household assets, landownership and livestock, education and training, etc. Overall, the choice of adaptation strategies to climate change is strongly determined by the gender of household heads, the results of gender as a determinant of adaptation differ greatly between different case studies. Although female-headed households (FHHs) tend to perceive changes in temperature more readily than male-headed households (MHHs), the latter are generally more likely to adopt different adaptation strategies. Despite the resilience and adaptation measures used by rural farmers in East Africa now, improved weather forecasting and early warning systems are needed as a better direction towards the future.

The relationship between environmental degradation and poverty has increasingly become the focus of national strategic decision-making in recent years. However, despite several theoretical explorations on the nexus, a dearth of empirical literature on the poverty-environmental degradation nexus, specifically on Sub-Saharan Africa (SSA), still exists. In this study, we investigated the poverty-environmental degradation nexus in SSA. We hypothesized that poverty is both a cause and effect of environmental degradation, and this relationship is explained as a vicious cycle. Unlike previous studies, we employed several alternative indicators of environmental degradation to examine the poverty-environmental degradation nexus in this study. We used data from 41 countries of SSA between 1996 and 2019 and employed the generalized method of moments (GMM) approach. The findings suggest a cyclical relationship between poverty and environmental degradation in SSA, which confirms that an increase in poverty leads to an increase in environmental degradation, especially in deforestation and PM2.5 emissions. Similarly, the increase in environmental degradation positively affects poverty in SSA. We also confirmed that exogenous conditioning factors such as population growth rate, education, industrialization, and income inequality, institutional quality indicators such as governance effectiveness, control of corruption, freedom ad civil liberty, and democracy, and endogenous factors including fossil fuel energy use, fuelwood energy use, household health expenditure, infant mortality rate, and agriculture productivity influence the nexus between poverty and environmental degradation. The findings on the relationship between poverty and environmental degradation in SSA are a testimonial evidence that both poverty and environmental degradation are significant issues in SSA. Hence, poverty alleviation policies in SSA should not lead to PM2.5 emissions and deforestation, which may as well force people into a poverty-environmental degradation trap. Instead, poverty reduction policies should simultaneously achieve environmental conservation.

Periodic markets are an important aspect of local economies, providing a platform for farmers (producers), wholesalers, retailers, and consumers to interact face-to-face and exchange goods and services. These markets have been increasing in urban areas in Africa, Asia, and South America because of urbanization. The increase of periodic urban markets (PUMs) in urban areas is observed as an index of modernization, reflecting a response to transition process. However, there are limited studies on how social interactions in PUMs contribute to sustainable livelihoods. This study investigated the types of social interactions occurring in PUMs in Ghana, the benefits of social interactions for participants of PUMs, and how social interactions contribute to sustainable livelihoods. This research interviewed 162 participants, comprising 27 farmers (farmers were regarded as producers in this study), 61 retailers, 47 wholesalers from 9 selected PUMs across Ghana, and 27 officers from government institutions and non-governmental market associations to obtain their opinions. We analyzed the interview data using the NVivo software. The results showed that there are seven kinds of social interactions in PUMs, including (i) producer-wholesaler relationship, (ii) producer-consumer relationship, (iii) wholesaler-retailer relationship, (iv) retailer-consumer relationship, (v) trader-driver relationship, (vi) trader-institution relationship, and (vii) trader-international buyer relationship. We found that these social interactions in PUMs enhance sustainable livelihoods by supporting human, social, financial, natural, and physical assets of traders (traders refer to producers, wholesalers, and retailers in this study). Therefore, we concluded that the development of policies to improve PUMs could strengthen social interactions, enabling the achievement of sustainable livelihoods in developing countries.