Green Finance, Land Transfer and China’s Agricultural Green Total Factor Productivity DOI Creative Commons
Xuan Liu, Xuexi Huo

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2213 - 2213

Published: Dec. 18, 2024

Promoting the role of green finance (GF) in agricultural transformation is essential for easing resource constraints and achieving sustainable development. Based on provincial-level data from 2006 to 2022, this study considers China GF reform innovation pilot zone as a quasi-natural experiment. It empirically examines impact mechanism total factor productivity (AGTFP). The following results are obtained: (1) exerts significant enhancement effect AGTFP. (2) can improve AGTFP by increasing degree land transfer (LT). (3) heterogeneous, has high-environmental-regulation provinces, eastern region, nonmajor grain-producing regions. From these findings, suggests accelerating development level GF, improving LT policies, continuously stimulating rural entrepreneurial vitality, further leveraging promoting through coordinating regional economic

Language: Английский

The impact of changes in land transfer decisions on rural livelihood transitions: Evidence from dynamic panel data in China DOI
Hongping Cui, Liang Zheng, Ying Wang

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 176, P. 103515 - 103515

Published: Jan. 14, 2025

Language: Английский

Citations

1

Achieving agricultural sustainability: analyzing the impact of digital financial inclusion on agricultural green total factor productivity DOI Creative Commons
Ming Xu,

Lidong Shi,

Jia-Hui Zhao

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 8

Published: Jan. 8, 2025

Introduction In order to achieve the sustainable development goal set by United Nations,it is necessary promote green transformation and of agriculture. context global economic digital revolution, examining impact financial inclusion (DFl) on agricultural total factor productivity (AGTFP) provided a new perspective for DFl upgrading. Methods Based balanced panel data 30 provinces in China from 2011 2022, study used slack-based measure (SBM) malmquist-luenberger (GML) index AGTFP. Then entropy method was basic condition logistics. Finally, causal relationship potential mechanism DFI AGTFP were verified means bidirectional fixed effect two-stage least square method. Results Our findings are as follows: firstly, significantly increases This conclusion still valid after series robustness tests endogeneity control. Secondly, land transfer logistics play positive mediating roles between Thirdly, has higher main grain-producing areas production-marketing areas. Discussion research provides not only theoretical empirical support optimizing China’s inclusive service system promoting agriculture but also an important reference developing countries.

Language: Английский

Citations

0

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 land transfer on food security: the mediating role of environmental regulation and green technology innovation DOI Creative Commons
Ming Xu,

Zhaoyang Lu,

Xinyue Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 10, 2025

Introduction Food security is the lifeblood of national and an important cornerstone for world 15 peace, stability, development. In this context, study impact land transfer (TF) on food (FS) provides a new perspective resource optimization. Methods Based empirical data 30 provinces regions in China from 2010 to 2022, paper used two-way fixed effect model explore causal relationship intermediary between two. Moreover, quantile regression further heterogeneity. addition, spatial Durbin analyze spillover effect. Results First, has significant promoting security. Secondly, obvious heterogeneity Third, environmental regulation green technology innovation play role Fourth, Discussion This not only enriches theoretical research security, but also evidence. It reference deepening China’s policy system, optimizing resources ensuring safety grain industry.

Language: Английский

Citations

0

Does Farmland Transfer Promote Digital Agriculture?—Based on Panel Data from 30 Provinces in China DOI Creative Commons
Xinxin Zhou, Guanghua Cheng, Bangbang Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 481 - 481

Published: Feb. 26, 2025

To achieve agricultural modernization, land must be operated on a large scale. The primary means of encouraging massive operations is through the conveyance farmland. This crucial for advancing China’s digital farming. In this article, degree farming growth evaluated via entropy value approach, impact farmland transfer development analyzed fixed effects and mediating effects, role resource allocation in to advance agriculture investigated. It has been found that agrarian can effectively stimulate From effect, fosters advancement by transferring farm labor increasing input capital. According heterogeneity analysis, more pronounced eastern central China. Relevant countermeasures are proposed enhance system promote large-scale operation agriculture, increase capital support construction improve regional talent flow mechanism technological innovation environment attract from retain technical agriculture.

Language: Английский

Citations

0

Willingness for Land Transfer and Coupling Coordination Analysis in Poverty Alleviation Resettlement Areas: A Sustainable Development Perspective DOI Creative Commons

Zhijie Cao,

Lingzhi Yan,

Kexin Zhou

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2012 - 2012

Published: Nov. 26, 2024

This study focuses on the land transfer intentions of migrants and surrounding villagers in SZ resettlement area BS City, Guangxi. It systematically analyzes coupling coordination relationship between migrants’ transfer-in transfer-out villagers, verifying practical value “Shared Land Resource Model” its surroundings. The yields following key conclusions: (1) there is a strong demand supply yet actual process limited, which constrains resource allocation efficiency prevents from fully utilizing shared resources; (2) evaluation intentions, external environmental factors have greatest influence (with weight coefficient 0.7877), while individual characteristics (0.0486) psychological (0.0593) relatively low coefficients, indicating that primarily rely government policy support lack internal motivation; (3) are most affected by farmland endowment (weight 0.3284), quality quantity resources affecting villagers’ willingness, smallest impact 0.1220). Three recommendations proposed: stimulating intrinsic motivation to enhance livelihood autonomy, protecting rights increase participation, building systematic sharing model promote sustainable allocation. provides theoretical for optimizing mechanism areas, aiming improve use efficiency, transition migrants, offer insights management planning poverty alleviation projects other countries.

Language: Английский

Citations

0

Finance-driven sustainable development: the impact of green finance on agricultural non-point source pollution and its pathways DOI Creative Commons
Yang Shen, Xiuwu Zhang

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: Dec. 16, 2024

Introduction Pollutants from farming and rural life have a serious negative impact on water soil. The advantages of green finance in financial support credit management can guide the transformation agricultural production, thus protecting ecological environment. Methods Based panel data 30 provinces China 2005 to 2021, study used inventory analysis, entropy method two-way fixed effect model analyze non-point source pollution (ANSP) mediating mechanism. Results ANSP has experienced an inverted U-shaped trend first rising then falling, environment is improving. At time level, produced by production evolution increasing decreasing during sample period. spatial significant low regional differentiation. central region coastal economic development area higher than that western region. results linear regression show ANSP. Promoting areas effectively agriculture reduce dependence crop cultivation fertilizers pesticides. This result held even after elimination endogeneity various tests. Land transfer environmental supervision are important intermediary mechanisms. Under influence these two variables, role reduction be fully brought into play. However, there heterogeneity effects ANSPs. Its stronger major grain-producing regions with well-developed digital infrastructure. Discussion confirms once again ANSP, findings help decouple economy emissions. outstanding contribution this discovery land government regulation. I order give full play reduction, provides relevant policy measures. These measures intended improve system business areas.

Language: Английский

Citations

0

Green Finance, Land Transfer and China’s Agricultural Green Total Factor Productivity DOI Creative Commons
Xuan Liu, Xuexi Huo

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2213 - 2213

Published: Dec. 18, 2024

Promoting the role of green finance (GF) in agricultural transformation is essential for easing resource constraints and achieving sustainable development. Based on provincial-level data from 2006 to 2022, this study considers China GF reform innovation pilot zone as a quasi-natural experiment. It empirically examines impact mechanism total factor productivity (AGTFP). The following results are obtained: (1) exerts significant enhancement effect AGTFP. (2) can improve AGTFP by increasing degree land transfer (LT). (3) heterogeneous, has high-environmental-regulation provinces, eastern region, nonmajor grain-producing regions. From these findings, suggests accelerating development level GF, improving LT policies, continuously stimulating rural entrepreneurial vitality, further leveraging promoting through coordinating regional economic

Language: Английский

Citations

0