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Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China
Based on the theories of welfare economics, this paper analyzed the mechanism of agricultural insurance (AI) affecting agricultural economic growth (AEG), theoretically, and carried out an empirical analysis by using the random effects model and thirteen years of panel data, which included the annua...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603245/ https://www.ncbi.nlm.nih.gov/pubmed/36293638 http://dx.doi.org/10.3390/ijerph192013062 |
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author | Zeng, Shaolong Qi, Bingying Wang, Minglin |
author_facet | Zeng, Shaolong Qi, Bingying Wang, Minglin |
author_sort | Zeng, Shaolong |
collection | PubMed |
description | Based on the theories of welfare economics, this paper analyzed the mechanism of agricultural insurance (AI) affecting agricultural economic growth (AEG), theoretically, and carried out an empirical analysis by using the random effects model and thirteen years of panel data, which included the annual data of 11 cities in Zhejiang Province, China, from 2007 to 2019. The gross output value of agriculture, forestry, animal husbandry, and fishery (GOVA) of 11 cities in Zhejiang Province is selected as the explained variable, agricultural insurance premium income (AIPI) as an explanatory variable. We selected area of waterlogging removal (AWR), rural electricity consumption (REC), total power of agricultural machinery (TPAM), and crop-sown area (CSA) as control variables. The study shows that: (1) the AIPI has a significant positive impact on the growth of GOVA. When other conditions remain unchanged, a 1% increase in AIPI increases the GOVA by 0.166%, accordingly; (2) The control variables of REC, TPAM, and CSA are statistically significant for the growth of the GOVA. The elasticity coefficient of REC is 0.325, the elastic coefficient of the TPAM is 0.287, and the elasticity coefficient of CSA is −0.281. |
format | Online Article Text |
id | pubmed-9603245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96032452022-10-27 Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China Zeng, Shaolong Qi, Bingying Wang, Minglin Int J Environ Res Public Health Article Based on the theories of welfare economics, this paper analyzed the mechanism of agricultural insurance (AI) affecting agricultural economic growth (AEG), theoretically, and carried out an empirical analysis by using the random effects model and thirteen years of panel data, which included the annual data of 11 cities in Zhejiang Province, China, from 2007 to 2019. The gross output value of agriculture, forestry, animal husbandry, and fishery (GOVA) of 11 cities in Zhejiang Province is selected as the explained variable, agricultural insurance premium income (AIPI) as an explanatory variable. We selected area of waterlogging removal (AWR), rural electricity consumption (REC), total power of agricultural machinery (TPAM), and crop-sown area (CSA) as control variables. The study shows that: (1) the AIPI has a significant positive impact on the growth of GOVA. When other conditions remain unchanged, a 1% increase in AIPI increases the GOVA by 0.166%, accordingly; (2) The control variables of REC, TPAM, and CSA are statistically significant for the growth of the GOVA. The elasticity coefficient of REC is 0.325, the elastic coefficient of the TPAM is 0.287, and the elasticity coefficient of CSA is −0.281. MDPI 2022-10-11 /pmc/articles/PMC9603245/ /pubmed/36293638 http://dx.doi.org/10.3390/ijerph192013062 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zeng, Shaolong Qi, Bingying Wang, Minglin Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China |
title | Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China |
title_full | Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China |
title_fullStr | Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China |
title_full_unstemmed | Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China |
title_short | Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China |
title_sort | agricultural insurance and agricultural economic growth: the case of zhejiang province in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603245/ https://www.ncbi.nlm.nih.gov/pubmed/36293638 http://dx.doi.org/10.3390/ijerph192013062 |
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