Unbalanced regional development remains a major obstacle to sustainable development.In recent years,China has experienced slower GDP growth,shifting population trends,rural revitalization,and nationwide poverty reduction.It is unclear if China's core pattern of uneven regional development has changed as a result.This study analyzes county-level data from 2010 to 2020 using five regional categories:poverty-stricken vs.non-poverty-stricken counties,urban-dominant vs.rural-dominant areas,population growth vs.population decline,GDP growth vs.decline,and Eastern,Central,Western,and Northeast China regions.Using the Sustainable Development In-dex and Theil Index,we calculated 21 county-level sustainability indicators to measure regional gaps across economy,environment,and social services.Results show that as of 2020,the overall sustainable development in China steadily improved.While the disparity between poverty-and non-poverty-stricken counties has largely nar-rowed,disparities between urban-rural-dominant areas and between Eastern and Western China remain the main challenges.Differences linked to population or GDP changes were not significant.However,many Northeast China regions pose sustainability concerns due to simultaneous population and GDP decline.
In 2018,the Chinese government unveiled a comprehensive set of policies outlining the blueprint for rural revitalization,promoting the idea of"boosting rural revitalization through green development".Using provincial panel data from 2011 to 2021,this study explores the impact of green development on rural revitalization,and the spatiotemporal and network evolution characteristics of this influence.Each region's green development and rural revitalization levels are measured using the composite weighting method.Next,it explores the spatial characteris-tics of green development's influence on rural revitalization by using spatial Durbin model.It further explores the heterogeneity of the spatial spillover effect of green development on rural revitalization using a two-regime spatial Durbin model.Lastly,it combines the complex network correlation method to identify important provinces.
The successful 2022 Winter Olympics in Beijing and the th Asian Winter Games in Harbin in 2025 have accelerated the growth of ski tourism in China.However,this rapid expansion has also led to a trend of homoge-nisation among ski tourism destinations.As a result,identifying unique attributes and establishing differentiated positioning have become critical challenges for these destinations.Prior literature shows that the destination image and features play important roles in market positioning.However,due to the new changes in the tourism market,the effectiveness of destination positioning has been adversely affected by the lack of identifying market segments and matching differentiated strategies.This study examines four ski tourism destinations in the Chengdu region of Sichuan Province,China,using destination positioning and value co-creation theory.First,the unique attributes of the destinations are identified using the word frequency-inverse document frequency(TF-IDF)and correspondence analysis(Study 1).Second,the ski tourism market is segmented based on tourists' demand through factor analysis,cluster analysis,and other methods(Study 2).Third,the study matches demand-side preferences(tourists)with the supply-side advantages of the destinations to develop differentiated strategies.The findings demonstrate that dif-ferentiated competitive positioning is appropriate and effective,offering practical marketing strategies to help ski tourism destinations overcome the homogenisation dilemma and enhance their appeal and competitiveness.In addition,the study introduces a new theoretical analysis framework for destination positioning,contributing to the further improvement of the marketing system.
Investigating the behavioral characteristics and influencing factors of ski resort tourists' decision-making in southern China holds significant practical value for the development of winter sports tourism markets in the re-gion.Grounded in push-pull theory,this study employs an integrated methodological approach that combines text analysis,genetic algorithm-based fuzzy comprehensive evaluation,and fuzzy-set qualitative comparative analysis(fsQCA)to examine the determinants and patterns underlying ski tourism decisions in resorts across southern China.The findings reveal that the pursuit of novel experiences,enriching life experiences,promotional recom-mendations,cost-effectiveness,facilities and services,and travel constraints constitute the six core factors in-fluencing decision-making among ski tourists in southern China.Genetic algorithm-based fuzzy comprehensive evaluation demonstrates that"enriching life experiences"and"the pursuit of novel experiences"have the highest weight coefficients,indicating that tourists predominantly focus on the value-added life experiences and novelty derived from skiing activities.Through configuration analysis,six condition combinations were identified and cate-gorized into three typical decision-making patterns:experience-driven,promotion-guided and price-sensitive,and trade-off decision-making.These findings provide practical insights for improving marketing management and ser-vice optimization in ski resorts across southern China while also contributing to the expansion of tourist behavior decision-making research.
This study examines the optimization of land use patterns to address the dual challenges of urban ex-pansion and ecological conservation,while promoting agricultural sustainability within the context of enhanced en-vironmental protection and sustainable socio-economic development.Utilizing the PLUS model,which incorporates strategic planning principles and industrial policy requirements,we developed a targeted planning scenario to pro-ject land use in the Ningxia Hui Autonomous Region for the year 2030.This research aims to establish a balance between socio-economic growth and ecological conservation.The findings demonstrate that:(1)The model em-ployed is both effective and reliable;(2)Under the targeted planning scenario,as opposed to a natural evolution scenario,there is a notable expansion in the areas dedicated to croplands,woodlands,and scrublands,while building lands are developed responsibly with a controlled expansion rate of 1.3,thus moderating development in-tensity;(3)The planning approach significantly enhances the value of ecosystem services compared to natural trajectories,thereby improving service capacities;(4)The ecosystem service values associated with land use under the 2030 scenario exhibit significant spatial concentration,with distinct zones of high and low concentration providing valuable spatial insights for future land use optimization and regulatory adjustments.
