Digital Finance, Capital Misallocation and Corporate Innovation DOI
Wenpeng Zhu

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: unknown, P. 103696 - 103696

Published: Oct. 1, 2024

Great transition and new pattern: Agriculture and rural area green development and its coordinated relationship with economic growth in China DOI
Qingqing Zhang,

Yanbo Qu,

Lingyun Zhan

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 344, P. 118563 - 118563

Published: July 5, 2023

Language: Английский

Citations

57

What Affects Agricultural Green Total Factor Productivity in China? A Configurational Perspective Based on Dynamic Fuzzy-Set Qualitative Comparative Analysis DOI Creative Commons
Danni Lu, Xinhuan Zhang, Degang Yang

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 136 - 136

Published: Jan. 9, 2025

Agricultural production faces the dual challenge of increasing output while ensuring efficient resource utilization and environmental sustainability amid escalating global climate change relentless increases in human demand. This study used provincial panel data from China 2001 to 2022 address these challenges. It systematically evaluated dynamic evolution agricultural green total factor productivity (AGTFP) by selecting “resources” “energy” as core input factors adopting a dual-output approach focused on “economic” “low-carbon” outcomes. thoroughly analyzed synergistic mechanisms such natural endowment, technology, economic development, regulation, exploring their impact AGTFP enhancement through innovative application fuzzy-set qualitative comparative analysis (fsQCA) method. There was significant upward trend across China, indicating notable progress development. Additionally, three pathways promoting improvement were identified: resource–economy-driven, technology–policy-guided, multifactor-synergy. Simultaneously, two modes constraining uncovered: economy–policy suppression capital–economy suppression, highlighting pivotal role regional development conditionality converting advantages. Moreover, contributions exhibited temporal dynamics. Major events, 2008 financial crisis policy shifts, including 2012 “Ecological Civilization” strategy, significantly altered effectiveness existing configurations. Our heterogeneity revealed distinct geographical patterns, with resource–economy-driven model predominantly observed central regions technology–policy-guided multi-factor-synergy models more prevalent eastern regions. These findings highlight importance formulating differentiated policies tailored specific needs stages different Specifically, enhancing synergy between management optimizing technology–policy integration, coordinated multisectoral are critical fostering sustainable practices. research provides crucial empirical evidence for shaping targeted that can drive diverse contexts.

Language: Английский

Citations

2

Enhancing agricultural environmental performance: Exploring the interplay of agricultural productive services, resource allocation, and marketization factors DOI
Biaowen Xu, Tomas Baležentis, Dalia Štreimikienė

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 439, P. 140843 - 140843

Published: Jan. 21, 2024

Language: Английский

Citations

15

The impact of specialization and large-scale operation on the application of pesticides and chemical fertilizers: A spatial panel data analysis in China DOI
Zhenhua Zhang, Chao Hua, Ramamoorthy Ayyamperumal

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107496 - 107496

Published: April 5, 2024

Language: Английский

Citations

15

How can rural digitalization improve agricultural green total factor productivity: Empirical evidence from counties in China DOI Creative Commons

Shen Lu,

Jincai Zhuang,

Zenan Sun

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35296 - e35296

Published: July 26, 2024

Against the backdrop of escalating environmental pollution and resource depletion induced by traditional agricultural industry development, imperative for efficiency ecologically friendly practices has become pivotal global sustainability. In digital era, rural digitalization substantially amplified production while notably reducing pollution. This study is based on panel data from 1602 counties in China spanning 2011 to 2020, measuring levels green total factor productivity (AGTFP) across these counties, empirically examining their dynamic correlation. The research findings reveal: (1) A significant enhancement AGTFP with elevation digitalization; every 1 % increase digitalization, increases 1.78 %. Robustness checks, including instrumental variables quasi-natural experiments, affirm validity conclusions. Furthermore, comparing regional differences China, it can be observed that impact varies different areas: eastern, central, western regions, 2.65 %, 1.53 0.82 respectively. (2) Rural fosters an stimulating entrepreneurial activity, mediation effect activity accounting 3.34 effect. (3) Utilizing a threshold model, observations indicate when surpasses first 0.3200, coefficient escalates 0.0462 0.7519. However, exceeds second 0.7118, this declines 0.2429, signifying nonlinear trend marginal AGTFP-initial followed attenuation. (4) spatial model analysis, confirms spillover effects AGTFP, indicating variations among matrices. indirect mainly influenced neighboring counties' levels, contribute more significantly than direct effects. Based conclusions, paper proposes augmenting investments implementing diversified schemes, invigorating harmonizing development as novel approaches enhance thereby fostering economic development.

Language: Английский

Citations

13

How does improving agricultural mechanization affect the green development of agriculture? Evidence from China DOI
Feng Lu,

Jixian Meng,

Baodong Cheng

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 472, P. 143298 - 143298

Published: July 30, 2024

Language: Английский

Citations

11

Could Digital Literacy Contribute to the Improvement of Green Production Efficiency in Agriculture? DOI Creative Commons
Siyu Gong,

Z. Sun,

Bo Wang

et al.

SAGE Open, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 1, 2024

The digital development in rural areas has become an important driving force for promoting green production agriculture. But the lack of skills among farmers remains a problem. main reason why cannot master well is their literacy, which leads to market information asymmetry and inability truly distinguish difference between traditional production. Based on this, this article uses field research methods collect data from 1,116 China, calculates agricultural efficiency using SBM model, empirically tests relationship farmers’ literacy results showed that significant effect efficiency. Secondly, it was found can effectively enhance cognition products technology adoption. Among them, reflected self-cognition cognition. adoption breadth depth Third, we discuss different dimensions five typical technologies used by further discussed. Although there are certain differences, overall, they all have effect. It necessary comprehensively improve bridge divide promote transformation

Language: Английский

Citations

10

How Does Developing Green Agriculture Affect Poverty? Evidence from China’s Prefecture-Level Cities DOI Creative Commons
Xingling Jiang, Yong Sun, Mou Shen

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(3), P. 402 - 402

Published: March 1, 2024

Eradicating poverty and improving human well-being are pivotal objectives for achieving global sustainable development. Sustainable agriculture, as a key domain, plays crucial role in addressing poverty. However, to date, there remains insufficient research on the specific impact of agricultural green development To bridge this gap, we utilize panel data from 273 prefecture-level cities China 2006 2022 explore how affects based constructing regional multidimensional index an agriculture. Our study reveals that effectively reduces poverty, particularly regions deep eastern part China. Further mediating analysis indicates alleviation by through infrastructure, industrial structure, technology innovation effect. findings offer valuable insights informing policies reduction, well government resource allocation strengthening resilience impoverished areas. By deepening our understanding link between agriculture significantly contributes sustainability expedites eradication worldwide.

Language: Английский

Citations

9

Evaluation and improvement of agricultural green total factor energy efficiency: the perspective of the closest target DOI

Jiarong Zhang,

Meijuan Li,

Zijie Shen

et al.

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 102179 - 102179

Published: Feb. 1, 2025

Language: Английский

Citations

1

Research on the Level of Agricultural Green Development, Regional Disparities, and Dynamic Distribution Evolution in China from the Perspective of Sustainable Development DOI Creative Commons
Feng Zhou,

Chunhui Wen

Agriculture, Journal Year: 2023, Volume and Issue: 13(7), P. 1441 - 1441

Published: July 21, 2023

Green development is a concept of sustainable development, aiming to protect the environment and ecosystems while meeting economic needs. In field agriculture, green has emerged as crucial pathway for reconciling conflicts between agricultural ecological conservation. To investigate level in Chinese regional variations, evolutionary patterns, this paper based on framework theory. This study establishes comprehensive evaluation system applies methods such entropy-weighted TOPSIS, Dagum’s Gini coefficient, kernel density estimation, Moran’s I index, Markov chains analyze disparities, dynamic evolution China. The findings reveal that: (1) overall China steadily improving, with notable differences among different regions provinces. There are significant disparities regions, exhibit fluctuating downward trend characterized by periods increase followed decrease. identified primary cause (2) eight major experiencing steady practices, but there varying degrees polarization due speeds. (3) also highlights clear spatial positive correlation China, most provinces showing clustering first third quadrants, indicating “high–high” (H-H) “low–low” (L-L) agglomeration pattern. (4) reveals that exhibits certain degree stability. Over time, probability transitioning from lower-level neighboring higher-level increases, can influence transfer within given region. Therefore, demonstrates dependence.

Language: Английский

Citations

19