The business environment is a crucial factor in international economic cooperation. Understanding its effect on geo-economic relations is the path to enhancing the economic resilience and regional coordination between China and RCEP (Regional Comprehensive Economic Partnership) members. Based on the panel data from RCEP members (2008-2023), this study uses the benchmark regression model to examine the impact of the business environment on geo-economic linkages. Results show that: 1) Business environment quality in RCEP members has generally improved, though with fluctuations. There are significant differences among countries, with developed countries such as Singapore and Japan consistently ranking at the top level, while developing countries like Cambodia and Myanmar, although at the bottom, have shown an upward trend in recent years. 2) Geo-economic linkages have strengthened overall, despite brief declines in 2014 and 2016, and exhibit a spatial pattern similar to that of the business environment. 3) Improving the business environment boosts geo-economic linkages by enhancing governance, factor supply, human resources, openness, innovation, and public security. 4) Better bilateral political relations strengthen geo-economic linkages, whereas high institutional distance and industrial similarity inhibit them. Some control variables show no significant impact. These effects are more evident after RCEP's establishment, and in developed, populous, or partner countries. This study offers insights for improving regional economic governance and deepening Sino-RCEP cooperation.
New quality productive forces are an essential requirement for achieving high-quality development. Based on the intrinsic characteristics of new quality productive forces, this paper constructs a measurement index system of the level of new quality productive forces from three perspectives of factors, factor combinations, and industrial forms. It measures the level of new quality productive forces at the provincial level from 2010 to 2023 and examines their temporal and spatial evolution as well as spillover effects. The results show that: 1) The overall level of new quality productive forces shows a steady upward trend, but the growth rate remains slow, and industrial forms serve as the main constraint on development. 2) The regional differences in the level of China's new productive forces are significant, forming a spatial pattern of "strong in the east and weak in the west" and "delayed development in the northeast". However, the level of new quality productive forces in each province is gradually advancing to higher levels. 3) The overall disparity in new quality productive forces gradually narrows, while inter-regional differences contribute the most. 4) The development of new quality productive forces exhibits significant positive spatial correlation, presenting the clustering characteristics of "high-high" and "low-low", as well as a "club convergence" pattern. Path dependence is strong, and the probability of cross-level transition is low. 5) Economic, institutional, educational, and transportation factors significantly influence the development of new quality productive forces. The levels of marketization, higher education, and transportation convenience generate positive spatial spillover effects, whereas economic development level and rule-of-law environment level generate negative spatial spillover effects.
This paper visualizes the spatiotemporal patterns of digital finance development level and carbon emission intensity on the basis of the panel data of 823 counties in China's provincial borders from 2014 to 2020. It also employs the STIRPAT model and Spatial Durbin Model to test the impact of digital finance on carbon emission intensity in counties of China's provincial borders. The results show that: 1) From 2014 to 2020, the development level of digital finance has been continuously improved in counties of China's provincial borders, presenting an overall spatial pattern of being higher in the east and lower in the west. Carbon emission intensity showed a downward trend, counties in the west of provincial borders are the main agglomeration areas of high carbon emission intensity. 2) The development of digital finance in counties of China's provincial borders has a significant inhibitory effect on carbon emission intensity, showing strong stability. 3) The development of digital finance in counties of China's provincial borders has an inhibitory effect on the local carbon emission intensity, but it increases the carbon emission intensity of adjacent counties, and there is significant regional heterogeneity in the impact of digital finance on carbon emission intensity in counties of China's provincial borders. 4) The digital finance in counties of China's provincial borders can significantly reduce carbon emission intensity through the effects of industrial structure upgrading and technological innovation. In response to the specific conditions of counties of China's provincial borders, this paper proposes a core strategy of reducing carbon emission intensity through digital finance, as well as development strategies featuring advantage-driven growth, adaptation to local conditions and collaborative cooperation.
Based on the new historical orientation of the Chinese modernization, this paper explores and proposes five key principles that should be prioritized in regional development planning within the context of advancing Chinese modernization: 1) We must uphold the centralized and unified leadership of the Party Central Committee as the fundamental political guarantee, ensures that planning maintains the correct direction and is executed effectively,and serves the overall development situation of the whole country as a "coordinated board". 2) We must commit to the people-centered philosophy as the core value stance, ensures that planning serves the people and ensures that the gains of development are shared among the people. 3) We must persist in promoting the coordinated regional development as the goal orientation, optimize spatial governance and enhance the scientific nature and effectiveness of planning following the laws of economic development and the principle of comparative advantage. 4) We must insist on ecological civilization construction as the fundamental plan for the sustainable development of the Chinese nation, integrate the concepts of ecological priority and green development into the entire planning process, synergistically promote ecological protection and economic development at the strategic level. 5) We must adhere to coordinating development and security as the realistic cornerstone, integrate the concept of safe development throughout the planning formulation and implementation process, and focuse on the safeguarding critical areas such as food, water, energy, key industrial and supply chains, and information security. Based on this framework, this paper systematically elucidates the theoretical logic, practical effectiveness, and implementation paths of each dimension, aiming to provide theoretical support and practical guidance for optimizing regional policy space and refining implementation mechanisms, thereby solidly advancing the Chinese modernization.
Based on the panel data of 31 provincial-level regions in China from 2012 to 2022, this study investigates the impact of the fund collection level of basic pension insurance for enterprise employees on regional economic equilibrium and its mechanisms under the national pooling reform. The results indicate that: 1) The calculation and decomposition of the Dagum Gini coefficient indicate significant spatial disparities in the fund collection level, with interregional differences being the primary source. 2) A higher fund collection level significantly inhibits regional economic growth and widens inter-regional economic disparities, which hinders regional economic equilibrium. 3) The effects are moderated by both economic development pressure and social pension pressure, the economic development pressure strengthens local government tendency to relax collection level and intensify the race to the bottom, while the social pension pressure is a hard constraint, limiting the flexibility of the collection policy in regulating economic equilibrium. 4) There is a significant U-shaped relationship between the fund collection level and the interregional economic disparity, with a turning point of 1.171. This study provides empirical evidence for optimizing the fund collection level in the nationwide pooling process and offers policy-relevant implications for reconciling regional development imbalance with pension system sustainability.
This article is predicated on a comprehensive analysis of panel data encompassing all 31 provinces across China spanning the years 2013 to 2020. Employing advanced methodologies such as Moran's I and Geodetector, it scrutinizes the spatiotemporal evolution of inter-provincial consumption correlations. Additionally, it delves into the determinants behind the spatial disparities in consumption patterns among provincial residents, unraveling the dynamic forces and intricate mechanisms underpinning the harmonized development of consumption spaces in the era of the digital economy. The findings underscore a prevailing positive spatial correlation in provincial residents' consumption behaviors. While there exists some degree of variance in consumption levels among provinces, this difference demonstrates relatively modest fluctuations over the examined period. This dynamic manifest a spatial distribution characterized by heightened consumption rates in the eastern region, juxtaposed with comparatively lower rates in the central and western regions. On the global scale, diverse variables indicative of the digital economy exhibits the potential to propel the equitable development of provincial consumption spaces. Conversely, factors representative of the non-digital economy, when interacting in tandem with other variables, tend to exacerbate spatial disparities in residents' consumption. Notably, parameters such as digital payment adoption, individual digital creditworthiness, per capita postal and telecommunications transactions, mobile phone penetration rates, and other digital economy metrics exhibit consistent and robust contributions to the balanced expansion of consumption across regional boundaries. In contrast to prevailing literature that predominantly examines consumption differentials between urban and rural populations, this article shifts its focus toward consumption expenditure patterns among provincial residents.
Based on the population data of the Sixth and Seventh National Population Census, this paper characterizes the population shrinkage pattern in Chongqing at the township level, uses various machine learning methods such as multiple linear regression, random forest model, Shapley values, and partial dependence graphs to analyze the contribution and marginal effects of factors affecting population shrinkage in hilly and mountainous region. The findings are as following: 1) During the research period, 88.47% of small town in Chongqing experienced population shrinkage, and the spatial structure of the township shrinking population is constantly restructuring. The growth townships showing a scattered distribution of "one center, multiple areas" and shrinking townships showing a patchy distribution of "two belts, five rings". 2) The random forest regression model is significantly better than the multiple linear regression model in analyzing influencing factors. The results indicate that the scale economy sub-niche contributes most significantly to population shrinkage, with cultivated land area being the primary influencing indicator. This is followed by the public service sub-niche, where medical facilities represent the major contributing factor. The population structure and natural condition sub-niches are relatively similar in their contributions. In addition, the heterogeneity and homogeneity of the factors affecting the population in different regions coexist. 3) The relationship between the influencing factors and the population shrinkage of the township is non-linear and complex through partial dependence graphs, with significant thresholds for the factors of relief, GDP, educational facilities, supermarkets, transport facilities and road density.
Achieving a synergistic balance between economic development and ecological resilience is a crucial pathway for promoting high-quality regional development. This study takes the urban agglomeration in the middle reaches of the Yangtze River as a case area. The entropy method was employed to measure the indices of economic development and ecological resilience, while the coupling coordination degree model and geographical detector were utilized to analyze the evolutionary characteristics and influencing factors of their coordinated development for the period 2010-2020. The results indicate that: 1) During the study period, economic development in the study area exhibited a positive growth trend, characterized by significant spatial inequality and evident spatial clustering patterns of "high-high" and "low-low". Cities with medium to high ecological resilience saw a marked increase, displaying an "east-high, west-low" spatial pattern. The relative growth rate of ecological resilience outpaced that of economic development. 2) The coupling coordination between economic development and ecological resilience has significantly improved. The number of cities classified as having "moderate" or "high" coordination increased, with such coordination spreading from provincial capitals to surrounding prefecture-level cities. 3) The coupling coordination degree of the urban agglomeration improved markedly, with a gradual increase in the number of cities classified as "moderate coordination" and "high coordination". In terms of spatial evolution, the medium-high coordination level types exhibited a consistent diffusion pattern from provincial capitals to surrounding prefecture-level cities. 4) Land use intensity, per capita GDP, and industrial structure were identified as the primary factors influencing the coupling coordination between economic development and ecological resilience. Among these, the interaction between per capita GDP and land use intensity exhibited the highest explanatory power.
This paper explains the negative effects and mechanisms of urban spatial decentralization on residents' wages by constructing a theoretical framework that encompasses both central and peripheral regions. Simultaneously, it delineates indicators of urban spatial decentralization in China using LandScan data and parametric methods, and empirically tests these indicators by matching them with income data from the Chinese Household Income Project (CHIP). The results reveal that urban spatial decentralization in China reduces residents' wages by disrupting agglomeration economies, increasing commuting costs, and exacerbating spatial differentiation among industries. Although the trend of decentralization has emerged in some cities, it is not yet widespread overall. Enhancing the spatially balanced distribution of educational and healthcare facilities, or promoting the development of the digital economy, may serve as effective strategies to address the associated risks.
Based on the land use data from 2010-2020 and the "dual evaluation" data of territorial space of Yantang Town, and combining the identification of functional transmission units and the measurement of spatial functional conflict intensity, this study analyzed the logical relationship between the requirements of main functional zones and the decision-making behaviors of multiple stakeholders through analyzing changes in spatial functional conflicts. On the basis of the above, it constructed a trade-off/collaboration decision-making analysis framework and a "trade-off/collaboration and multi-stakeholder" behavioral decision-making model for spatial functional conflicts, and proposed decision-making models for spatial functional conflicts that adapt to different functional transmission units. The results indicate that: 1) The spatial functional of Yantang Town demonstrates pronounced east-west differentiation patterns. The overall intensity of spatial functional conflicts is relatively low in Yantang Town. The spatial functional conflicts show a clear directional pattern in their agglomeration and diffusion. 2) The spatial patterns of trade-off/collaboration decision-making for spatial functional conflicts at the town level, the intensity changes of these conflicts, and the importance of comprehensive ecological function show a strong spatial correlation. Meanwhile, the trade-off/synergy decision-making spatial pattern exhibits pronounced east-west differentiation characteristic. 3) The behavioral decision-making of multiple stakeholders at the township level demonstrates a spatial correspondence with the varying intensities of functional conflicts. Three distinct decision-making models are proposed for different units: the "multi-stakeholder trade-off" model, the "multi-stakeholder synergy" model, and the "multi-stakeholder trade-off and synergy" model.
Based on the panel data of China's resource-based cities in 2011-2022, this study employs the methods of fixed-effects models and spatial Durbin models to empirically analyze the impact of digital-real integration on the economic resilience of resource-based cities. Additionally, the TOE framework is introduced to examine the underlying mechanisms. The research findings are as follows: 1) Digital-real integration can significantly enhance the economic resilience of resource-based cities, with notable heterogeneity. In terms of geographical distribution, digital-real integration has a significantly positive impact on resource-based cities in the southern region of the Hu Huanyong Line, a moderate effect on cities along the line, and a negative impact on cities in the northern region. In terms of resource endowment, digital-real integration has a pronounced strengthening effect on the economic resilience of coal-based and non-metallic resource-based cities, a moderate effect on metal-based cities, and no statistically significant effect is observed for forestry-based and oil-and-gas-based cities. 2) Mechanism tests indicate that digital-real integration enhances the economic resilience of resource-based cities through the pathways of information empowerment, structural upgrading, and public-driven mechanisms. 3) Digital-real integration exhibits a clear spatial spillover effect on the economic resilience of resource-based cities, demonstrating strong "core-periphery" characteristics.
Taking Chinese gazelle enterprises as the research object and employing the methods of spatial autocorrelation analysis, hotspot analysis and geographic detector, this study investigates the spatial distribution and evolution of the number of gazelle enterprises at the provincial level, and analyzes the influencing mechanism of the spatial differentiation of gazelle enterprises on the basis of the entrepreneurial ecosystem framework. The findings are as follows: 1) The development of gazelle enterprises in China has progressed through three distinct stages. The first stage was explosive growth in dispersed regions, driven by the mass entrepreneurship and innovation strategy. The second stage was a widespread decline due to various factors. The third stage was a reconcentration of gazelle enterprises, shaped by the attraction of factor resources. These stages defined the fundamental distribution pattern of gazelle enterprises in China. 2) Gazelle enterprises exhibited significant provincial and regional disparities.It showed a trend which was high-value areas in the east of China and low-value areas in the west of China, with a significant advantage in the coastal areas. Hubei and Guangdong were as prominent hotspots. Although the number of gazelle enterprises declined in a few provincial-level regions, most regions have experienced growth, characterized by low-value areas in the northwest of China and high-value areas in the southeast of China. 3) Finance and new knowledge are crucial factors influencing the spatial distribution of gazelle enterprises. The entrepreneurial ecosystem elements interact significantly. The growth of gazelle enterprises in China primarily depends on the interactions among factors of finance, new knowledge, leadership, entrepreneurship culture, and networks. 4) Gazelle enterprises in China exhibit an emerging spatial pattern marked by significant imbalances. In the future, it is necessary to fully leverage the radiative and driving roles of Hubei and Guangdong. Based on the above, it should improve the entrepreneurial ecosystem environment in less developed regions, so as to promote the rapid growth of local enterprises or attract outstanding foreign enterprises to settle down.
The intercity investment of real estate enterprises drives the flows of regional capital, information, talents, and technology, and promotes the dynamic reconstruction of the real estate market, thus becoming an important aspect for the coordinated development of real estate market and regional integration. Based on the equity investment data of real estate enterprises, this study constructed directed networks of intercity real estate investment in the Yangtze River Delta network for four periods from 2003 to 2022. After the analysis of network structures from the perspectives of micro nodes, meso communities, and macro topologies, temporal exponential random graph models were built to explore the influencing factors underlying intercity real estate investment in the Yangtze River Delta through the lens of urban attribute, intercity proximity, and structural endogeneity. The results show that: 1) The intercity real estate investment networks in the Yangtze River Delta present a distinct core-periphery structure, with Shanghai-Nanjing-Hangzhou-Heifei-Ningbo Z-shaped corridor becoming increasingly apparent. The scale of real estate capital flows in Shanghai has always ranked the first, forming a monocentric radial community with Suzhou, Nantong, and Yancheng, which together with provincial communities of Jiangsu, Zhejiang, and Anhui constitutes four major communities in the region. 2) The investment scale and radiation scope of intercity real estate in the Yangtze River Delta are gradually expanding. The disassortativity increased first and then decreases, and the reciprocity continues to strengthen. The weakening of vertical investment and the mutual feedback of two-way investment promote the development of the investment network towards a polycentric and balanced structure, while the deepening of intercity interaction and dependence promote the development of the investment network towards a clustering structure. The network evolution is generally stable but changing to some extent. 3) Intercity real estate investment and its evolution in the Yangtze River Delta are driven by both endogenous and exogenous forces. The degree of urbanization, localization and globalization has differential effects on investing cities and attracting cities. The endogenous structural dependence and time dependence effects of the network are important driving forces, including mutuality, activity, transitivity, stability, and variability.
From the perspective of evolutionary economic geography, this paper selects institutions, a key production factor for industrial development, to analyze the concept of institutional relatedness and constructs a quantitative indicator of institutional relatedness at the industrial scale. Based on this, this paper explores the impact of institutional relatedness on the breakthrough and upgrading of industrial paths in China. The findings are as follows: 1) The overall institutional relatedness between industries in Chinese regions is strong, with a relatively uniform distribution, though a trend of institutional segmentation among industries has emerged over time. 2) Industrial paths in China are mainly characterized by dependent evolution, with a higher proportion of breakthrough-type industries in the eastern region, and the process of path upgrading in cities across the country gradually spreading from points to areas. 3) New industries with strong institutional relatedness to the existing industrial structure in the region are more likely to enter, but these industries are typically dependent, which hinders local path breakthroughs. However, strong institutional relatedness can promote regional path upgrading by encouraging collective learning and industrial collaboration among enterprises within the region. The conclusions of this study help to understand the specific mechanisms of how industrial relatedness affects regional industrial paths and provide policy references for achieving breakthrough upgrades in regional industries in China.
Taking 28 towns in Dongguan City as the research object and based on the theoretical connotation and constituent dimensions of the entrepreneurial ecosystem, this paper constructs a comprehensive evaluation index system of urban entrepreneurial ecosystem, and explores its operational efficiency level, dynamic trends, and influence factors in 2012-2023 applying the methods of the non-expected super-efficiency SBM model, the variation coefficient, the Theil index, and the geographical detector model. The results show that: 1) The operational efficiency of urban entrepreneurial ecosystem in Dongguan City shows a non-benign development trend as a whole. 2) The evolution of operational efficiency of urban entrepreneurial ecosystem in Dongguan City has significant spatial differentiation, evolving from "higher in the east of Dongguan City and lower in the west of Dongguan City" to "higher in the west of Dongguan City and lower in the east of Dongguan City", the evolution trend becomes more and more obvious with the passage of time. 3) The level of regional economic development, population mobility, and industrial structure are the main influence factors of Dongguan's urban entrepreneurial ecosystem, and there is only a two-way augmentation relationship between the interactions of the influence factor. On the basis of the above, it puts forward some suggestions: strengthening government support, promoting high-quality opening up to the outside world, improving talent policies,.
This article constructs a carbon balance accounting model based on the nighttime light and land use data of Hunan Province. On the basis of analyzing the carbon balance zoning of counties from 2000 to 2022, it integrates the positioning of the main functional zones and proposes differentiated policies for carbon reduction and carbon sequestration. The study finds: 1) From 2000 to 2022, the total carbon emissions in Hunan Province increased from 92.39 million tons to 513.87 million tons, with an increase of approximately 4.56 times. The spatial distribution showed a "high in the east and low in the west" feature. During the same period, the total carbon sink slightly decreased, and the carbon absorption in counties with rich forest resources in the west was higher, and the spatial pattern remained s
Enhancing the resilience of county-level agricultural industry chains is crucial for safeguarding the overall agricultural industry chain security. Taking 71 counties of Wuling Mountains as the research object, and employing the methods of the Dagum Gini coefficient, kernel density estimation, Markov chains, and obstacle degree model, this study assesses the resilience level of their agricultural industry chain from 2010 to 2023, and analyzes their regional disparities, evolutionary trends, and inhibiting factors. Findings indicate that: 1) The resilience of the agricultural industry chain in research area showed an overall upward trend, but there is still significant potential for improvement. The spatial pattern was characterized by gradient differentiation and polarization, with a pronounced Matthew effect of "the high-value areas getting higher and the low-value areas getting lower" and highlighting notable path dependence. 2) Over the study period, disparities between regions showed a gradual narrowing trend. The primary spatial source of differences was identified as hypervariable density, and cross-regional collaboration was still insufficient. 3) It's difficult to achieve balanced development in the short term, and there was a distinct "club convergence" feature within the fixed geographical scope. Progress in agricultural industry chain resilience tended to occur incrementally, and the risk of downward transfer needs to be prevented. 4) Enhancing the resilience, recovery ability and re-creation ability is the key breakthrough point for improving the resilience of the county-level agricultural industrial chain in Wuling Mountains. At the same time, consolidating a twofold foundation of talent development and seed industry is essential to underpin the high-quality development and sustainable development. In the future, within a multi-level framework of differentiated governance at the county level, coordinated collaboration among provinces, and alignment with national strategies, it should promote the construction of the resilience of agricultural industrial chain in county-level areas of Wuling Mountains, and thereby achieve the establishment of mechanisms and policy guarantees for the entire industrial chain and value chain of characteristic agriculture in rural areas.
The bidirectional empowerment between the value realization of ecological products and rural industrial revitalization serves as a critical pathway to reconcile the conflict between ecological conservation and economic development. This study systematically elucidates the theoretical, institutional, and practical logic underlying their mutual empowerment from the synergistic perspective of "factor-industry-institution", deconstructs their interaction mechanisms, proposes a dynamic system characterized by "factor activation driving industrial development, industrial feedback enhancing factor upgrading, and institutional synergy ensuring systemic coordination". Furthermore, it analyzes the practical challenges faced in this bidirectional empowerment, including obstructions in factor conversion, inefficiencies in industrial feedback, and insufficient institutional coordination. Finally, it puts some suggestions: establishing value-added "factor-industry" channels for resource conversion, developing virtuous circular "economy-ecology" pathways for industrial feedback, and ensuring a closed-loop policy incentive system for institutional synergy. The proposed mechanism of bidirectional empowerment provides a systematic pathway for improving the value realization mechanism of ecological products, promoting the green transformation of rural industries, and thereby achieving the coordinated development of ecological civilization and rural revitalization.
Mixed Land Use (MLU) in urban fringes and rural multifunctionality are focal points of regional development and territorial spatial governance. This study first analyzes the mechanism by which MLU influences rural multifunctionality, then integrates multi-source geospatial big data (e.g., mobile phone signaling, POIs) to construct a multifunctionality evaluation index system and measure the MLU level of 412 villages in Xuzhou’s urban fringe. Finally, the Spatial Durbin Model (SDM) is employed to examine its impact pathways and spatial effects on rural multifunctionality. Results indicate: 1） MLU exerts a positive impact on rural comprehensive multifunctionality—each unit increase in MLU leads to a 0.045-unit rise in comprehensive multifunctionality. 2） MLU affects economic, productive, ecological, and social functions: it promotes rural economic, productive, and social functions but has an adverse effect on ecological function. 3）The spatial spillover effect of MLU is insignificant, suggesting MLU mainly acts locally with limited cross-regional effects. This study expands the research scenario of MLU, advances rural multifunctionality research, and provides a scientific basis for optimizing rural multifunctional development from the perspective of land resource allocation and promoting efficient territorial spatial governance in urban fringes.
This study constructs an indicator system for measuring green total factor productivity of grain (GTFP) that includes undesirable outputs, and employs the super efficiency SBM model and the GML index to measure the GTFP of 25 prefecture-level cities in the Huaihe River Eco-Economic Belt from 2012 to 2022. Furthermore, it uses the geographic detector to investigate its influencing factors. The study finds that: 1) From 2012 to 2022, the average GTFP of the Huaihe River Eco-Economic Belt shows a U-shaped trend of first decreasing and then increasing. The slight increase in the GML indexis primarily attributed to technological progress. 2) There are significant disparities in the spatiotemporal patterns of GTFP across the upper, middle, and lower reaches of the Huaihe River Eco-Economic Belt. 3) Farmers' livelihood security and the level of agricultural mechanization are core factors influencing GTFP. Moreover, the driving effect after the interaction of various influencing factors is significantly enhanced. Based on these findings, this paper proposes the following recommendations: including strengthening green technology innovation and data empowerment, adopting differentiated and targeted development strategies, and improving farmer support mechanisms alongside modernizing agricultural machinery systems, all requiring coordinated implementation through systematic cross-sectoral planning.
Based on the prefecture-level city data of China's Yangtze River Economic Belt from 2007 to 2021, this paper employs a panel fixed effects model, transfer effect model, moderation effect model, and spatial Durbin model to empirically test the influence of forest carbon sink on high-quality economic development and its underlying mechanisms from multiple dimensions. The findings reveal that: 1) It has the U-shaped relationship between forest carbon sink and high-quality economic development. Initially, due to the "resource curse" phenomenon, it inhibits the high-quality economic development, but gradually transitions to a positive promotion in later stages. 2) Forest carbon sink positively impacts the high-quality economic development through ecological industrialization. 3) Green finance and the digital economy can accelerate the process of forest carbon sink's influence on the high-quality economic development turning from the negative to the positive, making the relationship between the two more s
With the rise of short-video platforms, cultural and tourism short videos have gradually become an important channel for the public to obtain travel information and share travel experiences, while user interactions and feedback significantly influence the online attention and image perception of destinations. Taking "cultural tourism in northeast China" as the research focus, this study collects 500 short videos, 89849 comment texts, and 375 tourist locations from Douyin, explores the spatial attention pattern and emotional cognition of viewers toward cultural tourism in northeast China and analyzes their influence mechanisms based on the methods of principal component analysis, spatial analysis, text mining, and sentiment analysis. The findings show that: 1) The overall attention toward cultural and tourism short videos in northeast China shows an uneven distribution pattern, which is higher in the north and east of northeast China and lower in the central region of northeast China, with high-value areas mostly concentrated in regions with prominent resource endowments and complete urban functions. 2) Different types of cultural tourism destinations exhibit significant spatial differentiation: natural ecological sites show strong polarization characteristics, historical and cultural destinations form a "dual-core" structure centered on major cities, modern experiential tourism is concentrated mainly in the eastern region. 3) Viewer sentiments are predominantly positive, with high proportions of favorable comments reflecting a good online reputation for their tourism in northeast China, although some negative feedback—such as cold weather and high costs—also exists. 4) The level of online attention to cultural tourism destinations is jointly driven by video content, platform dissemination logic, and user emotional responses, with emotional expressions in the comments section playing a reverse role in shaping the online image of these destinations.
Grounded in the Technology-Organization-Environment (TOE) framework, this study employs a dynamic qualitative comparative analysis (QCA) approach to explore the configuration paths of the improvement of the total factor productivity (TFP) of rural tourism through the digital economy on the basis of county-level panel data of Anhui Province from 2014 to 2023. The findings indicate that: 1) The TFP of rural tourism in Anhui Province's counties has witnessed an increase, but it has significant spatiotemporal disparities, with regional gaps widening year by year. 2) High TFP in rural tourism is primarily driven by four distinct models: the demand-oriented model, the environment-driven model, the comprehensive collaboration model, and the environment-infrastructure dual-drive model. 3) The effectiveness of identical configurational pathways varies across counties, differentiated by the dynamic interplay of multi-dimensional factors. 4) The applicability of these models varies spatially among counties and can be classified as high, medium, or low types. This study reveals the multiple complex paths of the TFP improvement of rural tourism through the digital economy, broadening the research perspective for the high-quality development of rural tourism.
Rural tourism, as an important way to achieve rural revitalization, can not only drives the transformation and upgrading of the rural economy, but also effectively promotes the protection and inheritance of rural cultural heritage. A series of typical rural tourism destinations in Zunyi City, Guizhou Province were selected as cases, and structural equation modeling was employed to empirically analyze the relationships between tourists' spatial perception, place identity, cultural involvement, subjective well-being, and heritage protection behavior. The findings indicate that: 1) Spatial perception positively influences cultural involvement, place identity, subjective well-being, and heritage protection behavior. 2) Place identity has a significant positive impact on subjective well-being. What's more, subjective well-being significantly and positively influences heritage protection behavior. 3) Cultural involvement has a significant positive effect on place identity, subjective well-being, and heritage protection behavior. 4) The cultural involvement and subjective well-being of tourists play a significant mediating role between spatial perception and heritage protection behavior. 5) The tourism experience plays a significant negative moderating role in the relationship between tourists' cultural involvement and heritage protection behavior.
Drawing on the social-ecological system (SES) analytical framework, and integrating resilience theory with the adaptive cycle model, this study takes Yucun Village in Yangshuo County as a case to clarify the conceptual connotations of resilience in natural protected tourism communities and to systematically examine its evolutionary process, pathways, and underlying mechanisms. The results show that: 1) Natural protected tourism communities are composite systems formed by the nested and dynamically coupled interactions among social, economic, and ecological subsystems, and their resilience is manifested through the integrated capacities of buffering, adaptation, and transformation. 2) Yucun's resilience evolution has undergone a complete adaptive cycle (1973-2014) and is currently in the conservation phase of the second cycle (2015-present). Its resilience trajectory is characterized by buffering capacity constructed through agriculture-tourism coupling, adaptive capacity strengthened by governance restructuring and infrastructure improvement, and transformative capacity advanced by green technologies and other innovative factors. 3) The resilience mechanisms of natural protected tourism communities involve multiple interacting dimensions: diversified livelihoods provide the basic foundation, collective action forms the organizational basis, innovative transformation generates internal dynamism, and effective governance offers institutional guarantees. Together, these factors jointly promote the continuous enhancement of community resilience.
