Advancing the quality of grassroots public cultural services is critical for deepening cultural system reform and fostering socialist advanced culture.Enhancing grassroots service efficiency is also fundamental to achieving modernized Chinese-style grassroots governance.Using the TOE framework（technology, organization,environment）, this paper developed a theoretical model of influencing factors.Applying three-stage DEA,spatial Moran' s index,kernel density estimation,and Malmquist index,this paper analyzed supply efficiency,spatial distribution,and dynamic trends across China's 31 provinces from 2013 to 2022.Key findings included that：（1）Envi-ronmental factors and random errors had a significant impact on service supply efficiency,and improving urbanization levels was benefi-cial for reducing input redundancy.（2）The high-efficiency zone was gradually shifting to the area east of the Hu Huanyong Line,pres-enting a"multipolar"distribution pattern of"leading in East and Central China,lagging behind in Northwest and Northeast China".The spatial agglomeration trend was constantly strengthening,and the efficiency differences between provinces were gradually widening.（3） The efficiency of grassroots public cultural service supply in China had not yet escaped the negative growth situation,and the insufficient scale of service supply was an important obstacle to efficiency improvement.

Since the 18th National Congress of the Communist Party of China,the Chinese government has implemented a series of reform measures to advance a new type of urbanization,accelerating urbanization with county towns as key carriers.Based on sample da-ta from 103 counties in Henan Province,this paper employed the entropy weight method,linear weighting method,spatial autocorrelation analysis,and geographically weighted regression（GWR）to reveal the spatio-temporal evolution of county-level urban development support capacity in 2015,2020,and 2023.The results indicated that：（1）From 2015 to 2023,the support capacity for county-level ur-ban development in Henan Province increased significantly,with an overall score growth of 77.4%,influenced by the"Quality En-hancement Project for 100 Cities"policy,the average annual growth rate reached 11.8% during 2015-2020,but slowed to 0.58% af-ter 2020.Significant spatial heterogeneity was observed,characterized by a pattern of"higher in the south and lower in the north,stron-ger in the east and weaker in the west".（2）The spatial agglomeration effect of County town development support in Henan Province had increased year by year,and the overall Moran index had increased from 0.094 in 2015 to 0.408 in 2023.（3）The impact of urbanization level,resident population and education expenditure on the supporting capacity of county-level urban development showed significant temporal and spatial changes,in which the urbanization effect had gradually shifted from the"core periphery"structure to the radiation driven mode of Zhengzhou metropolitan area,and the role of population agglomeration and education expenditure in improving the sup-porting capacity of urban development had been continuously enhanced.

Under the background of the deepening of China's rural revitalization strategy,the reform of rural collective property rights system has become a key breakthrough to crack the dual structure of urban and rural areas and achieve common prosperity.The reform aims to optimize the operation mechanism of collective assets through land rights confirmation and certification,equity quantifi-cation and other measures.Based on the systematic integration of multi-channel data,this paper constructed the county panel data of Shaanxi Province from 2000 to 2020,and used the staggered difference in differences method to explore the impact of rural collective property rights reform on the income of rural residents in Shaanxi Province and its internal mechanism.The results showed that：（1）Ru-ral collective property rights reform could significantly improve the income level of rural residents,among which,the"external blood transfusion"of finance and the"endogenous growth"of agricultural industry were the two engines driving this positive effect.（2）CS-DID analysis showed that rural collective property rights reform could significantly increase the income of rural residents,but in the 2017 pilot areas,due to the intensified competition of financial resources brought by the rural revitalization strategy and the dispersion of policy implementation capacity,the reform effect was not significant.（3）The analysis of geographical location heterogeneity showed that the reform policy had significantly positive incentives for rural residents' income only in northern Shaanxi,and the abundant finan-cial support of local governments was the core guarantee for the remarkable reform results in this region.

As a core pillar of the real economy,the manufacturing sector forms an important foundation for a nation' s economic de-velopment.Digital transformation represents a key driver of modern economic growth.Digital transformation in manufacturing can opti-mize labor resource allocation and achieve sustainable enterprise development.This paper employed data from China's A-share listed manufacturing companies covering the period 2010-2022.Based on this data,this paper built an empirical model and conducted re-gression analyses.Our objective was to investigate the impact of digital transformation on labor investment efficiency in manufacturing firms.The research showed that：Digital transformation enhanced labor investment efficiency in manufacturing firms.Mechanism identi-fication revealed that the degree of information asymmetry,agency costs,and human capital structure played mediating roles in the process through which digital transformation influences labor investment efficiency.Heterogeneity tests found that digital transformation had a particularly significant effect on improving labor investment efficiency in non-state-owned,labor-intensive,and high-tech manufacturing firms.

This article analyzes the spatial-temporal evolution of distribution pattern of 1639 national-level intangible cultural heritage in the performing arts category in five batches using spatial statistics,center of gravity,average nearest neighbor,kernel density. It also explores the individual and interactive influences of social economic and natural environmental factors by GeoDetector.The find-ings are as follows：（1）The number of performing arts intangible cultural heritage in each batch shows a trend of increasing first and then decreasing.The distribution direction and center of gravity of intangible cultural heritage in each batch gradually expand westward. （2）Except for traditional sports in the first batch,the performing arts intangible cultural heritage is clustered distribution,generally form-ing a dual-core clustering center in North China and the Yangtze River Delta.Traditional music,traditional dance and operatic singing have multi-core clustering characteristics,while traditional theatre forms a clustering area,and traditional sports show dual-core clus-tering characteristics.（3）The performing arts intangible cultural heritage items are affected by both socio-economic and natural ecologi-cal factors,with their influence being enhanced after interaction.The urban factor has the strongest individual influence,and its interac-tive influence with the ethnic minority factor is also the strongest.Based on the research conclusion of this paper,suggestions are pro-posed in four aspects：multi-core linkage,digital empowerment,the integration of culture,sports and tourism,the ethnic communica-tion,intercourse and blending,in order to promote the tourism revitalization and cultural value release of the performing arts intangible cultural heritage.