Coordinated Development of the Digital Economy and Urban–Rural Integration in the Yangtze River Delta and Its Spatial Correlation Structure DOI Open Access
Ting Yang, Can Zhou,

Tieqiao Xiao

и другие.

Sustainability, Год журнала: 2025, Номер 17(9), С. 4144 - 4144

Опубликована: Май 3, 2025

The digital economy plays a crucial role in facilitating the flow of resources between urban and rural areas addressing developmental imbalances. This study analyzed coordinated development (DE) urban–rural integration (URI) across 41 cities Yangtze River Delta (YRD) from 2010 to 2022. Using entropy-weighted TOPSIS method coupling coordination degree model, we evaluated spatial distribution levels. A modified gravity model social network analysis revealed correlation structures, while geographic detectors identified dominant influencing factors. results showed that: (1) has advanced faster than integration, leading regional disparities; (2) level improved over period, with exhibiting higher concentrated eastern southeastern parts region, showing an M-shaped distribution; (3) displayed pattern northwest southeast, center shifting southeastward, overall central area outperformed northern southern western area; (4) core have expanded Shanghai, Suzhou, Wuxi include Nanjing Changzhou, increasing influence, but uneven mediating roles; (5) was influenced by different factors various time periods, resources, agricultural modernization, equalization being primary contributors. Targeted optimization strategies using detector would provide reference for development.

Язык: Английский

Development of Platform Economy and Urban–Rural Income Gap: Theoretical Deductions and Empirical Analyses DOI Open Access
Nan Hao,

Mingxing Ji

Sustainability, Год журнала: 2023, Номер 15(9), С. 7684 - 7684

Опубликована: Май 7, 2023

Against the historical background of burgeoning platform economy and promotion common prosperity, this paper focuses on impact development urban–rural income gap. Theoretical mechanism analyses are conducted from three aspects such as nonlinear action gap, rural human capital level-based moderating effect, spatial spillover effect. Moreover, empirical carried out using threshold model, interaction lag model in turn with panel data 31 provinces China 2013 to 2020. The results study show that there is a significant double effect initial can improve inequality, scale will further contribute reduction but expansion market share deepening monopoly have suppressive equilibrium. There reducing inequality. increase level enhance driving rural–urban effects for impacts gap it positively promotes coordinated urban areas neighboring provinces. Based above results, makes policy proposals perfecting system standard platform, improving level, optimizing platform-based regional cooperation.

Язык: Английский

Процитировано

10

Rural Industries and Their Role in the Development of Rural Areas and Afghanistan's National Economy DOI Creative Commons

Fayaz Gul Mazloum Yar,

Ahmad Sabir Noori

ORGANIZE Journal of Economics Management and Finance, Год журнала: 2025, Номер 3(3), С. 194 - 214

Опубликована: Янв. 12, 2025

Afghanistan's predominantly rural population faces severe economic and social challenges, such as poverty, unemployment, migration to urban areas due over-reliance on agriculture. This study explores the role of industries in addressing these issues by examining their potential improve conditions contribution national economy. It also identifies primary challenges developing proposes strategies for overcoming them. Findings suggest that have reduce create employment, increase household income, contributing significantly Afghanistan’s development. However, inadequate infrastructure, limited investment, market access remain substantial barriers. aims examine development impact Additionally, it seeks identify opportunities propose improving current state. In this study, I aim address following questions: What do play Afghanistan? are major And how can be harnessed strengthen economy?, review utilizes both analytical descriptive approaches relies credible scientific sources field data. The information collected includes academic articles, government reports, statistical data related Afghanistan. Data analysis is conducted descriptively analytically, focusing economic, social, environmental impacts industries. findings indicate economy areas. These industries, creating employment opportunities, increasing reducing a key strengthening identification infrastructure insufficient investment highlights barriers country.

Язык: Английский

Процитировано

0

Research on the Mechanism and Effect Measurement of the Impact of Digital Economy Development on Farmers’ Income Increase in the Yangtze River Delta Region DOI

映竹 钱

E-Commerce Letters, Год журнала: 2025, Номер 14(01), С. 3173 - 3185

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The impact of digital technology on the economic behavior of traditional minority villages in China DOI
Yue Yang, Liming Zhang, Guoqian Xi

и другие.

Journal of Enterprising Communities People and Places in the Global Economy, Год журнала: 2025, Номер unknown

Опубликована: Янв. 29, 2025

Purpose This study aims to investigate how digital technology influences the happiness of villagers in traditional ethnic minority communities, with Waipula Village as a focal case study. Recognized forerunner achieving United Nations Sustainable Development Goals, exemplifies innovation can transform rural communities. Design/methodology/approach Using an exploratory approach, research reveals that enhances villagers’ by improving market access, mitigating geographical limitations and fostering entrepreneurship innovation. Findings In addition, has led new consumption patterns cultural values, significantly contributing village’s sustainable development overall well-being. Originality/value analysis expands understanding role villages offers valuable insights for revitalization strategies, highlighting its importance enhancing preserving heritage.

Язык: Английский

Процитировано

0

Rural Digitalization and the Urban-Rural Income Gap: A Perspective of Factor Flow DOI
Xinyuan Wen, Yiran Li, Meng Zhou

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Integrating Lotka-Volterra dynamics and gravity modeling for regional population forecasting DOI Creative Commons
Ünsal Özdilek

Frontiers in Built Environment, Год журнала: 2025, Номер 11

Опубликована: Фев. 20, 2025

Introduction Forecasting population dynamics is crucial for effective urban and regional planning. Traditional demographic methods, such as Cohort Component Analysis, often do not capture nonlinear interactions spatial dependencies among regions. To address these limitations, this study integrates Lotka—Volterra prey—predator equations with a probabilistic adaptation of the Gravity model, providing more robust theoretical methodological framework forecasting. Methods We adapt model—originally rooted in ecological theory—by introducing carrying capacities region-specific parameters, then embed model to interregional mobility. This unified approach leverages data migration flows from three major clusters Quebec, Canada, calibrating parameters reflect observed trends. The resulting system was iteratively solved tested using 2021 through 2023. Results combined effectively captured competitive cooperative interactions, revealing how connectivity resource constraints shape long-term growth patterns across Calibrated forecasts aligned well trends, demonstrating framework’s capacity real-world interdependencies flows. Key findings highlight importance prey—predator—like producing stable or shifting equilibria, offering deeper insights into competition, cooperation, sustainability. Discussion By merging modeling principles interaction theories, work underscores added value grounding forecasting well-established constructs. Compared traditional approaches, integrated Lotka–Volterra provides clearer picture populations evolve under spatially linked influences. readily adaptable diverse contexts, potentially enhancing forecast precision guiding policy interventions development, allocation, strategic planning on broader scale.

Язык: Английский

Процитировано

0

How the digital economy promotes urban–rural integration through optimizing factor allocation: theoretical mechanisms and evidence from China DOI Creative Commons
Yuchen Lu,

Jiakun Zhuang,

Chenlu Yang

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2025, Номер 9

Опубликована: Фев. 28, 2025

The digital economy plays an increasingly crucial role in bridging the gap between urban and rural areas. This study investigates how development of can foster integrated areas by optimizing factor allocation, with emphasis on its potential to narrow urban-rural divide. aims examine impact integration, focusing particularly mediating optimized allocation. Using panel data from 30 Chinese provinces 2011 2022, we construct indicators for integration. analysis employs a two-way fixed-effects model, effect spatial Durbin model explore evolution Findings suggest that enhances integration both directly indirectly. It contributes indirectly optimizes allocation labor, capital, land, technology, information, further promoting convergence. effects these mechanisms exhibit significant threshold heterogeneity. These results underline importance accelerating mobility as key strategies Policy implications focus enhancing efficiency resource across accelerate balanced development.

Язык: Английский

Процитировано

0

Can E‐commerce development improve farmers' incomes? Evidence from prefecture‐level data and the spatial difference‐in‐difference approach DOI

Bufan Wang,

Pingyang Liu, Aixi Han

и другие.

Australian Journal of Agricultural and Resource Economics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 24, 2025

Abstract The penetration of E‐commerce into rural areas has created unprecedented opportunities for revitalisation and increased farmers' incomes. While the impact development on income growth been widely discussed, its spatial spillover effects subsequent mechanisms remain insufficiently explored. This study utilises panel data 278 prefecture‐level cities in China employs a difference‐in‐difference model incorporating Durbin to explore contribution incomes, focussing direct associated with characteristics E‐commerce. Results indicate that promotes local exerts positive effect neighbouring cities. significant is achieved through mediating technological innovation capital investment, while industrial structure upgrading found be significantly negative, indicating farmers incapable obtaining digital dividends from emerging economic opportunities. also better increase incomes less developed regions lower digitalisation levels, stronger impetus early stages development.

Язык: Английский

Процитировано

0

Internet Enables Efficient and Balanced Development of Regional Cultural and Creative Industry DOI Open Access

Bin Zhang,

Zhang Hong-shan,

Jiacheng Gao

и другие.

International Journal of Knowledge Management, Год журнала: 2025, Номер 21(1), С. 1 - 16

Опубликована: Апрель 12, 2025

Using entropy weighting method, global DEA-EBM model, panel vector autoregressive model and β convergence test this study evaluates the Internet development level cultural creative industry efficiency in China from 2016 to 2022, whether can drive efficient balanced of regional industry. The results show that not only effectively improve efficiency, but also accelerate However, has a significantly stronger effect on improving eastern region rate gaps among provinces than central western regions. Accordingly, puts forward some suggestions optimizing input-output structure industry, increasing investment internet infrastructure strengthening deep integration two.

Язык: Английский

Процитировано

0

Bridging or widening? The impact of the Broadband China policy on urban-rural income inequality DOI Creative Commons
Bing He, Guoqi Nan,

Da Xu

и другие.

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 19, 2025

Язык: Английский

Процитировано

0