Cargando…

Does economic agglomeration improve agricultural green total factor productivity? Evidence from China's Yangtze river delta

Economic agglomeration plays an important role in China's social transformation process of industry feeding agriculture and urban supporting rural areas, and is one of the core weapons to promote agricultural economic growth and green and efficient development. Based on panel data of 41 cities...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Fengting, Wang, Hao, Liu, Cong, Xiong, Lichun, Kong, Fanbin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358614/ https://www.ncbi.nlm.nih.gov/pubmed/36380604 http://dx.doi.org/10.1177/00368504221135460

Ejemplares similares

Exploring ecosystem carbon storage change and scenario simulation in the Qiantang River source region of China
por: Cao, Ludan, et al.
Publicado: (2022)

Green supply chain transformation and emission reduction based on machine learning
por: Wu, Tao, et al.
Publicado: (2023)

Green-production transitions and hazardous industrial discharge: A regional case study from China
por: Hou, Jianing
Publicado: (2023)

The impact of industrial robots application on air pollution in China: Mechanisms of energy use efficiency and green technological innovation
por: Yu, Lingzheng, et al.
Publicado: (2022)

To join the rebuild or not? An exploration of the factors influencing the public's intention to participate in urban renewal
por: Lin, Shih-Ming, et al.
Publicado: (2022)

What drives horizontal logistics collaboration? A grounded theory analysis of Chinese logistics service providers
por: Zhang, Xiaoyan, et al.
Publicado: (2023)

Machine learning in the evaluation and prediction models of biochar application: A review
por: Chen, Meng-Wei, et al.
Publicado: (2023)

Financial compensation for natural forest logging ban: Standard calculation based on willingness to accept
por: Liao, Wenmei, et al.
Publicado: (2023)

Ensemble of diverse deep neural networks with pseudo-labels for repayment prediction in social lending
por: Kim, Ji-Yoon, et al.
Publicado: (2022)

The economic and environmental analysis of solar energy development under climate impacts
por: Zhang, Liguo, et al.
Publicado: (2022)

The development of input-monitoring system on biofuel economics and social welfare analysis
por: Kung, Chih-Chun, et al.
Publicado: (2022)

Political uncertainty and high-quality economic development: Evidence from China
por: Li, Xing, et al.
Publicado: (2023)

The effect of smart campus on the low infection rate in the post-pandemic era
por: Sui, Changpeng, et al.
Publicado: (2023)

Multi-generational labour markets: Data-driven discovery of multi-perspective system parameters using machine learning
por: Alaql, Abeer Abdullah, et al.
Publicado: (2023)

Sustainable development pathways for energies in Yangtze River Delta urban agglomeration
por: Xu, Chao, et al.
Publicado: (2023)

Decoupling agriculture pollution and carbon reduction from economic growth in the Yangtze River Delta, China
por: Yuan, Ruxue, et al.
Publicado: (2023)

Spatio-Temporal Pattern of Green Agricultural Science and Technology Progress: A Case Study in Yangtze River Delta of China
por: Qian, Chen, et al.
Publicado: (2022)

Research on innovative mechanisms of financial agglomeration enabling green coordinated development in the Yangtze River Delta of China
por: Wu, Fuqiang, et al.
Publicado: (2023)

Editorial: Computer vision in plant phenotyping and agriculture
por: Stavness, Ian, et al.
Publicado: (2023)

The Effect of Urban Heat Island on Climate Warming in the Yangtze River Delta Urban Agglomeration in China
por: Huang, Qunfang, et al.
Publicado: (2015)

Analysis of the spatio-temporal network of air pollution in the Yangtze River Delta urban agglomeration, China
por: Yang, Chuanming, et al.
Publicado: (2022)

Recommendations for ethical and responsible use of artificial intelligence in digital agriculture
por: Dara, Rozita, et al.
Publicado: (2022)

Can the establishment of state-level urban agglomeration stimulate enterprise innovation?—Taking Yangtze River Delta and Pearl River Delta as an example
por: Zhao, Kai, et al.
Publicado: (2022)

Spatial spillover and threshold effect of green development efficiency on urban human settlement resilience in Yangtze River Delta urban agglomeration
por: Wang, Zheng, et al.
Publicado: (2023)

Inside out: transforming images of lab-grown plants for machine learning applications in agriculture
por: Krosney, Alexander E., et al.
Publicado: (2023)

Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China
por: Cheng, Yongyi, et al.
Publicado: (2019)

Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms
por: Stocker, Matthew D., et al.
Publicado: (2022)

Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa
por: Amardeilh, Florence, et al.
Publicado: (2023)

Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River
por: Ren, Huiying, et al.
Publicado: (2021)

Spatiotemporal characteristics and impact mechanism of high-quality development of cultural tourism in the Yangtze River Delta urban agglomeration
por: Shi, Zhangyu, et al.
Publicado: (2021)

The impact of industrial agglomeration on urban green land use efficiency in the Yangtze River Economic Belt
por: Wang, Jingtong, et al.
Publicado: (2023)

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water
por: Weller, Daniel L., et al.
Publicado: (2021)

Analysis of Spatiotemporal Changes of Ecological Environment Quality and Its Coupling Coordination with Urbanization in the Yangtze River Delta Urban Agglomeration, China
por: Shi, Zhiyu, et al.
Publicado: (2023)

Assessing Ecosystem Services Supply-Demand (Mis)Matches for Differential City Management in the Yangtze River Delta Urban Agglomeration
por: Cai, Wenbo, et al.
Publicado: (2021)

Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta—Based on the Perspective of Information Flow
por: Lin, Qiaowen, et al.
Publicado: (2021)

Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China
por: Cao, Xianzhong, et al.
Publicado: (2021)

Collaborative agglomeration level and spatial correlation of intercity manufacturing industry: An empirical study based on the cities of the Yangtze River Delta
por: Zhu, Kai, et al.
Publicado: (2023)

Socio-economic productive capacities and energy efficiency: global evidence by income level and resource dependence
por: Demiral, Mehmet, et al.
Publicado: (2021)

The impact of natural resource rent, financial development, and urbanization on carbon emission
por: Huang, Shi-Zheng, et al.
Publicado: (2021)

Effects of tourism and eco-innovation on environmental quality in selected ASEAN countries
por: Wei, Zhao, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_rbdv0pmc2e33k6u8frgrp63e54