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Spatio-Temporal Pattern of Green Agricultural Science and Technology Progress: A Case Study in Yangtze River Delta of China

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  • Chen Qian

    (Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

  • Caiyao Xu

    (Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

  • Fanbin Kong

    (Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

Abstract

Green agricultural science and technology progress (GASTP) plays an important role in the green transformation of agriculture. This study calculates the contribution rate of GASTP by using the Super-SBM model in the Yangtze River Delta (YRD) from 2011 to 2020. The exploratory spatial data analysis (ESDA) method and the Fixed Effect (FE) panel data model method were adopted to empirically analyze the spatio-temporal patterns of GASTP and its driving mechanism in the YRD. The results showed that: (i) except for Shanghai from 2011 to 2015, the contribution rate of GASTP in the YRD was generally lower than 1 in Anhui Province, Jiangsu Province, and Zhejiang Province, (ii) the level of GASTP had a positive spatial correlation with the study period, except for 2017, and (iii) per capita GDP, agricultural mechanization level, agricultural financial support, and planting structure are four influencing factors of GASTP in the YRD, while total retail sales of social consumer goods and total exports did not have significant effects on GASTP in the YRD. Therefore, we need to increase the opportunities to exchange GASTP experience between cities, improve the environment for agricultural technology extension, and develop follow-up monitoring mechanisms.

Suggested Citation

  • Chen Qian & Caiyao Xu & Fanbin Kong, 2022. "Spatio-Temporal Pattern of Green Agricultural Science and Technology Progress: A Case Study in Yangtze River Delta of China," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8702-:d:864806
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    References listed on IDEAS

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    1. Yang Liu & Yanlin Yang & Shuang Zheng & Lei Xiao & Hongjie Gao & Hechen Lu, 2022. "Dynamic Impact of Technology and Finance on Green Technology Innovation Efficiency: Empirical Evidence from China’s Provinces," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    2. Ruoxi Zhong & Qiang He & Yanbin Qi, 2022. "Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    3. Xu, Bin & Lin, Boqiang, 2017. "Factors affecting CO2 emissions in China’s agriculture sector: Evidence from geographically weighted regression model," Energy Policy, Elsevier, vol. 104(C), pages 404-414.
    4. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
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    2. Muziyun Liu & Hui Liu, 2023. "Influence of Climate Change on Carbon Emissions during Grain Production and Its Mechanism," Sustainability, MDPI, vol. 15(13), pages 1-15, June.

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