Research on the Path of High-Quality Development of Rural Tourism Empowered by Digital Economy DOI Open Access
Liangping Li, Xia Zhu

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The digital economy is a part of the current industrial reform that should not be ignored. Moreover, rural tourism an important way to realize revitalization and common prosperity, correlation interaction between two are crucial development. In this paper, we explore interactive influence two, use entropy value method, kernel density function, global spatial autocorrelation analysis, other measurement methods measure comprehensive development level accordingly establish coupling coordination model for high-quality tourism. spatiotemporal characterization in 30 provinces China carried out, coupled coordinated 16 cities towns Yunnan Province explored as example, according which suggestions corresponding paths put forward. index China’s seven major geographic regions during five years 2019-2023 highest South (0.473) lowest Northwest (0.219). Southwest (0.518) has value, while (0.386) value. degree increased by 0.0903 5 years. 2014, 2016, 2018, 2020 Moran was -0.0885, 0.0916, 0.1527, 0.1729, with Z-value showing increasing trend P-value decreasing Trend. improved.

Language: Английский

The Impact of Farmland Transfer on Urban–Rural Integration: Causal Inference Based on Double Machine Learning DOI Creative Commons
Yuchen Lu, Juntang Zhuang, Jun Chen

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 148 - 148

Published: Jan. 13, 2025

Urban–rural fragmentation represents a significant challenge encountered by nations globally, particularly in both developing and developed contexts, during the modernisation process. This study examines effects of rural land system reform on facilitating integrated development between urban areas. The analysis impact 2010 liberalisation transfer policy employs dual machine learning model, utilising provincial-level data from China spanning 2005 to 2022, address limitations traditional causal inference models while ensuring estimation accuracy. findings indicate that significantly enhances urban–rural development, demographic, economic, ecological dimensions. mechanisms encompass facilitation extensive agricultural service operations, new business entities, migration labour, enhancement capital. Furthermore, notable disparities exist reforms across various regions, concerning integration levels. exhibit marginally diminishing trend. influence varies with economic levels, demonstrating nonlinear relationship, most pronounced observed regions moderate development. Additionally, differ based geographic location. policies central region exhibiting effect, followed north-eastern region, western eastern which shows least effect. provides reference for advancing marketisation factors, improving efficiency resource allocation, regionally multiple layers system.

Language: Английский

Citations

0
The impact of the rural digital economy on China’s new-type urbanization DOI Creative Commons
Nan Chen

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0321663 - e0321663

Published: April 24, 2025

The Chinese government is vigorously implementing the rural revitalization strategy and accelerating process of new-type urbanization. rapid development digital economy has emerged as a new driving force for This study aims to explore how impacts China’s urbanization from direct, heterogeneous, indirect perspectives. Using provincial-level panel data in China 2014 2022, mixed-methods approach employed empirical research. CRITIC Entropy TOPSIS are used assess comprehensive level temporal characteristics Moreover, global-local auto-correlation analysis carried out depict spatial distribution two variables. Subsequently, two-way fixed effects model constructed verify direct impact on urbanization, well its structural heterogeneity characteristics. Finally, an mediating effect established paths through which results show that significantly promoted Specifically, infrastructure, transformation agriculture, agricultural production service informatization have significant positive effect, while role life digitization not significant. more population agglomeration economic growth, followed by social public service, but no ecological environmental protection urban-rural coordination. Additionally, qualitative identifies geographical region, poverty, demographic structure equality notable influencing factors this impact. Further mechanism result indicates human capital improvement, growth industrial upgrading. research contributes existing body knowledge providing practical path promote context economy, also clarifies weak points key links process. It highlights need further into institutional influence relationship enhances policy applicability.

Language: Английский

Citations

0
Sustainable rural development: differentiated paths to achieve rural revitalization with case of Western China DOI Creative Commons
Yuqing Geng, Xinlei Yang, Naiguang Zhang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

Rural Revitalization (RR) is a key national strategy in China aimed at sustainable rural development and has gained significant attention. Given the unique characteristics of different villages, understanding differentiated paths to achieve RR essential. This study introduces new "5I Framework" (INDUS-INHAB-INDOC-INFRA-INCOM) assess RR's overall status (ODS) paths. Then, using western as case, this employs entropy weight, technique for order preference by similarity an ideal solution (TOPSIS), fuzzy set qualitative comparative analysis (fsQCA), hierarchical clustering categorize into "4L Category" (Lots-Learning-Labor-Living). Context-specific recommendations are provided each category. "5I" "4L" derived from their initial letters easier recall global dissemination. Our findings reveal ODS's temporal fluctuations between Acceptable Good Grades (0.3 0.6), with Chongqing's villages showing downward trend (from 0.439 0.407); also spatial differences ODS, northern generally score higher due distinct characteristics. Seven identified, highlighting varying dimensions essential success: INFRA crucial across all high ODS paths, while INHAB INDOC not always central. Besides, these grouped four clusters via clustering, indicating that can be achieved integrating "lots" aspects, enhancing "learning" cultural among residents, requiring villagers' "labor" support agriculture, or improving "living" environment. The clustered categories enhance applicability our proposed countermeasures similar contexts. facilitates theoretical evaluation RR, underpinned promotes effective implementation practices—both representing innovations study.

Language: Английский

Citations

1
Research on the Path of High-Quality Development of Rural Tourism Empowered by Digital Economy DOI Open Access
Liangping Li, Xia Zhu

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The digital economy is a part of the current industrial reform that should not be ignored. Moreover, rural tourism an important way to realize revitalization and common prosperity, correlation interaction between two are crucial development. In this paper, we explore interactive influence two, use entropy value method, kernel density function, global spatial autocorrelation analysis, other measurement methods measure comprehensive development level accordingly establish coupling coordination model for high-quality tourism. spatiotemporal characterization in 30 provinces China carried out, coupled coordinated 16 cities towns Yunnan Province explored as example, according which suggestions corresponding paths put forward. index China’s seven major geographic regions during five years 2019-2023 highest South (0.473) lowest Northwest (0.219). Southwest (0.518) has value, while (0.386) value. degree increased by 0.0903 5 years. 2014, 2016, 2018, 2020 Moran was -0.0885, 0.0916, 0.1527, 0.1729, with Z-value showing increasing trend P-value decreasing Trend. improved.

Language: Английский

Citations

0