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Research on sustainable development and efficiency of China's E-Agriculture based on a data envelopment analysis-Malmquist model

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Listed:
  • Pan, Wen-Tsao
  • Zhuang, Mei-Er
  • Zhou, Ying-Ying
  • Yang, Jia-Jia

Abstract

With the rapid development of the Internet and telecommunication systems, the electronic agricultural infrastructure has been continuously improved. This paper analyzes the regional differences and dynamic evolution of agricultural sustainable development and efficiency in 31 regions of Mainland China. The research is based on a data envelopment analysis-Malmquist productivity index model. The paper puts forward suggestions to help enhance the management of electronic agriculture and keep a balance between societal development and environmental protection.

Suggested Citation

  • Pan, Wen-Tsao & Zhuang, Mei-Er & Zhou, Ying-Ying & Yang, Jia-Jia, 2021. "Research on sustainable development and efficiency of China's E-Agriculture based on a data envelopment analysis-Malmquist model," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  • Handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520311240
    DOI: 10.1016/j.techfore.2020.120298
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    References listed on IDEAS

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    1. Munisamy Gopinath & P. Lynn Kennedy, 2000. "Agricultural Trade and Productivity Growth: A State-level Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1213-1218.
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    3. Abdellah Ouaguid & Noreddine Abghour & Mohammed Ouzzif, 2018. "A Novel Security Framework for Managing Android Permissions Using Blockchain Technology," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(1), pages 55-79, January.
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    Cited by:

    1. Wang, Zhipeng & Zhang, Mei & Ageli, Mohammed Moosa, 2022. "Revisiting resource curse hypothesis and sustainable development: Evaluating the role of financial risk for USA," Resources Policy, Elsevier, vol. 79(C).
    2. Qu, Jingjing & Wang, Baohui & Liu, Xiaohong, 2022. "A modified super-efficiency network data envelopment analysis: Assessing regional sustainability performance in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Tan, Hua & Iqbal, Nadeem & Wu, Zhengzhong, 2022. "Evaluating the impact of stakeholder engagement for renewable energy sources and economic growth for CO2 emission," Renewable Energy, Elsevier, vol. 198(C), pages 999-1007.
    4. Jawed Mustafa & Fahad Awjah Almehmadi & Saeed Alqaed & Mohsen Sharifpur, 2022. "Building a Sustainable Energy Community: Design and Integrate Variable Renewable Energy Systems for Rural Communities," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    5. Khoshroo, Alireza & Izadikhah, Mohammad & Emrouznejad, Ali, 2022. "Total factor energy productivity considering undesirable pollutant outputs: A new double frontier based malmquist productivity index," Energy, Elsevier, vol. 258(C).
    6. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    7. Chia-Nan Wang & Phi-Hung Nguyen & Thi-Ly Nguyen & Thi-Giang Nguyen & Duc-Thinh Nguyen & Thi-Hoai Tran & Hong-Cham Le & Huong-Thuy Phung, 2022. "A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry," Mathematics, MDPI, vol. 10(9), pages 1-21, April.

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