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Research on Coupling Coordination Development for Photovoltaic Agriculture System in China

Author

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  • Jian Chen

    (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    School of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Yiping Liu

    (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Lingjun Wang

    (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

Abstract

To explore the law of coupling coordination development of China’s photovoltaic (PV) agriculture system, this study measured the comprehensive development level of the agriculture and PV industries from 2007 to 2016 using China’s agricultural and photovoltaic industry statistics. Once this was achieved, the coupling coordination degree of the PV agricultural system was measured and a development mode of this system was determined. Finally, we explored the development trend of the coupled and coordinated evolution of the system. The main research results show that: (1) Although the development level of the agriculture and PV industries are both in an upward trend, the rising rate of development by the PV industry far exceeds the agriculture industry. (2) As agricultural and PV industries expand, they both show stock resource-led characteristics, but the incremental resources of the PV industry are gradually taking the lead. (3) The coupling coordination degree of the agriculture and PV industries fluctuates as it rises, but the coupling is low. It has not yet evolved to a higher level of coupling, and the speed of upgrading and evolution is slow. (4) In the next 10 years, the evolution speed of the two industries will be significantly improved, and the coupling between them will enter the coordination stage. PV agriculture will further develop in a sustainable direction.

Suggested Citation

  • Jian Chen & Yiping Liu & Lingjun Wang, 2019. "Research on Coupling Coordination Development for Photovoltaic Agriculture System in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1065-:d:206966
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    Cited by:

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    2. Wu, Ning & Liu, ZuanKuo, 2021. "Higher education development, technological innovation and industrial structure upgrade," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    3. Li, Bo & Ding, Junqi & Wang, Jieqiong & Zhang, Biao & Zhang, Lingxian, 2021. "Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China," Energy Policy, Elsevier, vol. 149(C).
    4. Hengtian Wang & Xiaolong Yang & Xinxin Xu & Liu Fei, 2021. "Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis," Energies, MDPI, vol. 14(11), pages 1-28, May.
    5. Junnan Liu & Tong Chen & Yulan Song, 2022. "Coupling Coordination and Interactivity between Farmland Transfer and Rural Financial Development: Evidence from Western China," Sustainability, MDPI, vol. 14(24), pages 1-28, December.
    6. Lee, Sangik & Lee, Jong-hyuk & Jeong, Youngjoon & Kim, Dongsu & Seo, Byung-hun & Seo, Ye-jin & Kim, Taejin & Choi, Won, 2023. "Agrivoltaic system designing for sustainability and smart farming: Agronomic aspects and design criteria with safety assessment," Applied Energy, Elsevier, vol. 341(C).
    7. Xuelan Li & Jiyu Jiang & Javier Cifuentes-Faura, 2023. "Coordinated Development and Sustainability of the Agriculture, Climate and Society System in China: Based on the PLE Analysis Framework," Land, MDPI, vol. 12(3), pages 1-19, March.
    8. Bo Wang & Yu Liu & Qinghong Sheng & Jun Li & Jiahui Tao & Zhijun Yan, 2022. "Rice Phenology Retrieval Based on Growth Curve Simulation and Multi-Temporal Sentinel-1 Data," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    9. Peng Xu & Qianqi Xu & Cunkuan Bao, 2023. "A Study on the Synergy of Renewable Energy Policies in Shandong Province: Based on the Coupling Coordination Model," Energies, MDPI, vol. 16(19), pages 1-17, September.

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