Evolutionary characteristics, regional differences and spatial effects of coupled coordination of rural revitalization, new-type urbanization and ecological environment in China DOI Creative Commons
Ruijuan Zhang,

Qingfeng Bao

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 16, 2024

Rural revitalization (R), new-type urbanization (U) and the ecological environment (E) are a unity of complementary advantages mutual promotion coexistence, coupling coordination three is key to realizing Chinese modernization harmonious coexistence human beings nature. Based on China’s provincial panel data from 2011 2022, this paper constructed comprehensive evaluation index for R-U-E system, using entropy method, coupled model, Dagum’s Gini coefficient, kernel density estimation, spatial correlation analysis, Durbin model explore level development, spatial-temporal evolutionary characteristics coordination, regional differences effects systems. The following results were observed: (1) rural revitalizationand exhibits growing trend significant differences, with East China outperforming other regions, but average value below 0.5 needs be further improved. smoother growth trend, higher in South than regions. (2) has increased year year, barely coordinated primary coordination. (3) imbalance improved both nationally seven largest intra-regional smallest Central China. between Northeast regions exhibit widening while all decreasing trend. Interregional variations main factor affecting overall variance, their impact variance gradually diminishing. (4) obvious correlation, “high-high” “low-low” cluster aggregation was evident. (5) Government behavior levels economic growth, capital, digitization significantly contribute development region and, at same time, have spillover effect neighboring provinces; degree openness outside world contributed region, it had an inhibitory drive innovate only certain contributing Targeted policy measures response paper’s empirical findings may provide policymakers reference point achieving sustainable goals.

Language: Английский

Learning from Peers: How Peer Effects Reshape the Digital Value Chain in China? DOI Creative Commons
Zhenghui Li, Fuqiang Guo,

Ziqing Du

et al.

Journal of theoretical and applied electronic commerce research, Journal Year: 2025, Volume and Issue: 20(1), P. 41 - 41

Published: March 3, 2025

Digital products and services form a digital value chain in the process of circulation added. The peer effects arising from mutual learning between regions can also influence chain. Using multi-regional input–output table data China for years 2012, 2015, 2017, this paper constructs panel model to explore impact on analysis delves into mechanisms variations across different regions. results show that significantly enhance positions (DVCPs) region, are robust. primary pathway through which DVCPs is level attention given economy policy. Furthermore, heterogeneity varies depending advanced technology industry intensity.

Language: Английский

Citations

2

Impact of digital divide on energy poverty across the globe: The mediating role of income inequality DOI

Qian Yue,

Ming Zhang, Yan Song

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 195, P. 114349 - 114349

Published: Sept. 13, 2024

Language: Английский

Citations

8

The spatial impact of population semi-urbanization on sulfur dioxide emissions: Empirical evidence from China DOI
Zhenhua Zhang, Chao Hua, Xueli Chen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124257 - 124257

Published: Jan. 25, 2025

Language: Английский

Citations

1

Can Digital Economy Facilitate Household Clean Cooking Fuel Transition? Empirical Evidence from China DOI Open Access

Xiaofang Dai,

Zhenhua Zhang,

Weiming Gan

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 288 - 288

Published: Jan. 2, 2025

Fully harnessing the digital economy to encourage clean transition of household cooking fuel is essential for improving environmental conditions and enhancing human health. To this end, we developed a theoretical framework examine how influences choices empirically investigated these relationships using panel data from China Family Panel Studies (CFPS) spanning 2014–2020. The results show that accelerates transition, particularly in adoption electricity. These conclusions remain consistent after addressing endogeneity conducting robustness tests. Furthermore, promotional effect exhibits certain heterogeneities, notably more prominent among female heads, as well urban northern regions. Mechanism analysis reveals promoting force primarily driven by increased income, expanded social networks, heightened awareness. findings offer empirical backing utilizing facilitate guide policymakers designing targeted interventions consider regional diversity.

Language: Английский

Citations

0

Evaluation and influencing factors of sustainable economic development: A spatial analysis in the Yellow River Basin DOI
Zhenhua Zhang, Chao Hua, Malin Song

et al.

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

How Does the Urban Digital Economy Drive Labor Allocation in China?—A Perspective of Factor Mobility Between Digital and Non-Digital Enterprises DOI

Xiaole Qiao,

Yang He, Qiang Du

et al.

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Unpacking the green potential: How does supply chain digitalization affect corporate carbon emissions? — Evidence from supply chain innovation and application pilots in China DOI
Yongchang Shen, Zongtao Tian, Xueli Chen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124147 - 124147

Published: Jan. 16, 2025

Language: Английский

Citations

0

Assessing the environmental impact of digital and manufacturing industry co-agglomeration: Dual perspectives of geographical and virtual agglomeration DOI

Peng Deng,

Le Wen, Dong Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124369 - 124369

Published: Feb. 1, 2025

Language: Английский

Citations

0

Driving Mechanism of Synergistic Efficiency in Reducing Pollution and Carbon: Evidence From 249 Green Parks DOI Open Access
Chuang Li, Keke Li,

Liping Wang

et al.

Geological Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

ABSTRACT The green park serves as a significant spatial carrier for China's strategy to become manufacturing powerhouse and promote industrial transformation upgrading. It is crucial platform implementing driving the development of manufacturing, promoting harmonious coexistence between man nature in current era. main focus this study total 249 parks announced by Ministry Industry Information Technology, it employs multi‐time point PSM‐DID method investigate 280 prefecture‐level cities. results show that: (1) coefficient certification policy estimated have significantly negative impact at 1% significance level. (2) facilitates integration pollution reduction carbon efforts leveraging technology innovation government support. (3) effect has regional consistency resource heterogeneity. Therefore, great effects pathways on synergies reduction.

Language: Английский

Citations

0

How does supply chain digitalization enhance energy resilience? Empirical evidence from listed companies in China DOI
Zhiyuan Gao, Zhao Ying, Lianqing Li

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108447 - 108447

Published: March 1, 2025

Language: Английский

Citations

0