To promote the high-quality development of red tourism and narrow regional development disparities,this study constructs a theoretical framework and evaluation index system for high-quality red tourism development based on the new development philosophy.The entropy-weight TOPSIS method was applied to comprehensively measure the development levels of red tourism across different regions,while multiple regression analysis was employed to identify its influencing factors.The results show that China's red tourism exhibits a significant regional imbalance,with the eastern and central regions performing notably better than the western and northeastern regions. Moreover,economic development level,public budget level,social consumption level,government attention,and the density of red cultural heritage have significant positive effects on the high-quality development of red tourism. The study provides empirical evidence and policy implications for optimizing regional coordination mechanisms and advancing the high-quality development of red tourism.

Intangible cultural heritage（ICh）in the category of folklore is one of the ten major categories of intangible heritage,with a total of 492 items,accounting for 13.6% of the total number of intangible cultural heritage in all categories at the national level（3610 items）.This paper analyzes and researches the distribution characteristics of folkloric intangible cultural heritage,so that the state can implement centralized and unified protection in a more targeted way,and at the same time explore in depth the research of folkloric intangible cultural heritage in the surrounding area as well as the influencing factors of the distribution in this area.With the help of ArcGIS 10.8 spatial statistical tools,the spatial distribution characteristics and overall pattern of traditional folk intangible cultural heritage were analyzed.The results show that the distribution of traditional folklore ICH is significantly clustered;from the viewpoint of provinces and administrative regions,Zhejiang and Guizhou provinces are the highdensity circles expanding to the surrounding provinces.From the viewpoint of the four major geographic divisions, except for Qinghai-Tibet,all of them have obvious clustering distribution status.Finally,with regard to the distribution characteristics of the intangible cultural heritage of traditional folklore,we analyze the influencing factors of such distribution from the perspective of the combination of natural and human factors,as well as discussing the direction of future research and development.

Based on the analysis of the coupling mechanism of scientific and technological innovation,tourism development,and economic resilience,this study utilized the evaluation based on dictance from average solution （EDAS）model to assess the performance levels of 16 prefecture-level cities in Shandong province from 2012 to 2022 in the aforementioned three aspects.Subsequently,the coupling coordination degree model was employed to measure the synergy index among them（abbreviated as the"STE"synergy index below）,and analyze the spatiotemporal characteristics of the synergy relationship and the relative lag subsystem for each city.The findings are as follows.（1）From a temporal evolution perspective,the STE synergy index of Shandong province maintained stable growth before 2019,achieving an overall transition from near dislocation to primary coordination.Despite fluctuations in 2019,the overall STE synergy index managed to sustain its primary coordination level.（2）From a spatial distribution perspective,significant inter-city variations exist in the STE synergy index across Shandong province, delineating a"dual-core,multi-center"spatial pattern with Qingdao and Jinan at its core.The STE synergy index shows a higher overall level in the Jiaodong Economic Circle,a lower overall level in the Lunan Economic Circle, and Jinan stands out as dominant in the Provincial Capital Economic Circle.（3）Before 2019,the technology innovation subsystem lagged behind in the STE synergy index across most prefecture-level cities in Shandong province. After 2019,tourism development became the predominant lagging subsystem in the STE synergy index for most prefecture-level cities.

Based on the data from the fifth,sixth and seventh national censuses,this paper comprehensively employs the contraction degree model,grey correlation analysis and other methods to explore the current situation, structure and influencing factors of population contraction in different scale regions of the three northeastern provinces.The results are as follows.（1）During the research period,the number and degree of population contraction areas at the prefectural and county levels in the three northeastern provinces have increased significantly.Among the county-level administrative units,the proportion and degree of population contraction in municipal districts are rela-tively light,followed by county-level cities and counties.（2）The spatial and temporal differentiation characteristics of population contraction in the three northeastern provinces are significant.With the passage of time,the population contraction areas at different scales have shown a trend of expansion and spread in space.（3）From the perspective of population structure,the aging trend of the population in the three northeastern provinces has intensified,the proportion of highly educated people has increased significantly,and the labor force has gradually shifted from the primary industry to the secondary and tertiary industries.（4）The main influencing factors of population contraction in the three northeastern provinces are the levels of medical care,education and transportation.At the same time,resource depletion,the suction effect and policy regulation are also important factors leading to population contraction in the region.