The impact of digital rural construction on agricultural carbon emission intensity DOI Creative Commons
Weijuan Li,

Guo Jin-yong,

Yonghong Tang

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Ноя. 22, 2024

Reducing agricultural carbon emissions is critical to achieving green development and the “dual carbon” goals. The present study conducts empirical analysis using provincial panel data from 29 provinces in China 2011 2022 combined with econometric models based on mechanism of impact digital rural construction emission intensity. entropy method factor are used determine level fixed effect intermediary empirically analyze results indicate that (1) significantly inhibits intensity, there differences different regions dimensions construction; (2) areas can indirectly reduce intensity by promoting human capital; (3) financial support for agriculture played significant positive regulatory effect. policy recommendations proposed provide a reference reduction other countries.

Язык: Английский

Evaluation, mechanism and policy implications of the symbiotic relationship among rural digitization, agricultural development and farmer enrichment: evidence from digital village pilots in China DOI Creative Commons

Lai Min,

Weiwei Li,

Zhenyu Gao

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Май 24, 2024

Digitization is becoming the key to achieving rural revitalization, and there a complex inter-active relationship with farmer enrichment, agriculture development, making it highly valued by governments around world. Quantitatively evaluating symbiotic between digitization, agricultural reveal driving mechanism behind them, which can provide evidence for government, enterprises, relevant stakeholders. This paper conducts an empirical study of 84 digital village national pilots in China based on coupling coordination model geographically weighted regression, focus spatial characteristics, mechanisms pilots. The development has significant heterogeneity, most state. were complicated, heterogeneity synergy forces different factors, special attention should be paid effects (the nature intensity regression coefficients local regions) policy design implementation. It worth noting that population aging mainly plays negative role, while industrialization, government support, resident capacity positive role. other factors play both roles. Income gap urban residents, aged 65 above, financial self-sufficiency are critical factors. We suggest developing differentiated management policy, accurate integrated basis smart planning, construction China. In view differences digitalization its as shown study, necessary policies according conditions, single taking into account interactive multiple

Язык: Английский

Процитировано

4

Smart Village Concept in Indonesia: ICT as Determining Factor DOI Creative Commons

Anindya Puteri Eka Susilowati,

Rini Rachmawati, R. Rijanta

и другие.

Heliyon, Год журнала: 2025, Номер 11(1), С. e41657 - e41657

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Sustainable Digital Rural Development: Measurements, Dynamic Evolutions, and Regional Disparities—A Case Study of China DOI Open Access
Ming Lei,

Xinyu Yang,

Shuifeng Hong

и другие.

Sustainability, Год журнала: 2025, Номер 17(9), С. 4250 - 4250

Опубликована: Май 7, 2025

Amid the Fourth Industrial Revolution and 2030 Sustainable Development Goals (SDGs), China’s digital village initiative has emerged as a localized implementation for achieving multidimensional sustainability. However, progress of villages in China remains uneven, posing challenges to sustainable rural transformation. This study develops index system at four levels: infrastructure, development environment areas, industry agricultural production digitalization. Entropy weighting was used evaluate across 30 Chinese provinces (2013–2022). Kernel density estimation, Dagum Gini coefficient, obstacle degree model were spatiotemporal dynamics, regional disparities, barriers. The results show that between 2013 2022, advanced (the average annual growth rate: 9.43%), with spatial distribution pattern “east superior, west inferior, south prosperous, north declining”. National have yearly, absolute relative disparities increasing, extensibility multi-polarizing rising. Digital is becoming increasingly imbalanced, inter-regional differences driving “east, central, west” disparity intra-regional North–South disparity. Ranking hurdle areas (45.94%) > (24.83%) infrastructure (21.85%) digitalization (7.38%). Taobao are major restraint on development.

Язык: Английский

Процитировано

0

The impact of digital rural construction on agricultural carbon emission intensity DOI Creative Commons
Weijuan Li,

Guo Jin-yong,

Yonghong Tang

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Ноя. 22, 2024

Reducing agricultural carbon emissions is critical to achieving green development and the “dual carbon” goals. The present study conducts empirical analysis using provincial panel data from 29 provinces in China 2011 2022 combined with econometric models based on mechanism of impact digital rural construction emission intensity. entropy method factor are used determine level fixed effect intermediary empirically analyze results indicate that (1) significantly inhibits intensity, there differences different regions dimensions construction; (2) areas can indirectly reduce intensity by promoting human capital; (3) financial support for agriculture played significant positive regulatory effect. policy recommendations proposed provide a reference reduction other countries.

Язык: Английский

Процитировано

2