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引用本文:杨宗之,王智鹏,李娜.浙江省农村产业融合度测算及影响因素分析[J].中国农业资源与区划,2025,46(6):151~158
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浙江省农村产业融合度测算及影响因素分析
杨宗之1,王智鹏2,李娜2
1.宁波财经学院,浙江宁波 315000;2.江西农业大学,南昌 330044
摘要:
目的 推动农村产业融合发展,是构建现代农业产业体系、带动农民增收致富的重要举措。方法 为准确测度其融合水平,文章以浙江省及省内11个地级市为研究对象,通过构建农村产业融合度评价指标体系,借助熵值法和灰色关联分析法,研究2007—2022年浙江省农村产业融合发展情况及其影响因素。结果 (1)2007—2022年浙江省农村产业融合指数逐年递增,由0.164 4增长至0.775 8。杭州和宁波2市农村产业融合指数长期位居前列,丽水和衢州2市长期位居省内末位。整体来看,浙江省农村产业融合指数呈现出“北高南低”的态势。农村产业融合行为和效益指数的发展变化和分布规律同农村产业融合指数基本一致;(2)城镇化水平、城乡居民收入差距、农村居民收入水平、农村居民消费水平、土地综合产出率、研究与试验发展经费、农林牧渔服务业比重与农村产业融合的关联度较高,分别为0.952 8、0.922 7、0.910 9、0.875 8、0.852 2、0.813 3和0.773 6。结论 未来,浙江省应从推动农村产业融合和城镇化协同发展、强化基础设施建设、增强农业科技水平、拓展农业产业链延伸等方面着手,实现农村产业的多元化融合发展。
关键词:  农村产业融合  影响因素  熵值法  灰色关联  浙江省
DOI:10.7621/cjarrp.1005-9121.20250613
分类号:F327
基金项目:教育部人文社会科学青年基金项目“数字经济赋能城乡融合发展的空间机制与创新路径研究”(23YJC790175);国家自然科学基金青年项目“高质量发展背景下粮食主产区耕地生态集约利用的影响机理及调控政策研究”(42201294);2024年宁波市“三农”课题“推进宁波新型农业经营主体高质量发展对策研究”(NBSN20240306)
CALCULATION OF THE INTEGRATION DEGREE OF RURAL INDUSTRIES IN ZHEJIANG PROVINCE AND ANALYSIS OF INFLUENCING FACTORS
Yang Zongzhi1, Wang Zhipeng2, Li Na2
1.Ningbo University of Finance & Economics, Ningbo 315000, Zhejiang, China;2.Jiangxi Agricultural University, Nanchang 330044, Jiangxi, China
Abstract:
Promoting the integrated development of rural industries is an important measure to build a modern agricultural industry system and drive farmers to increase their income and become prosperous. To accurately measure its level of integration, this study took Zhejiang province and 11 prefecture level cities as research objects. By constructing an evaluation index system for the degree of rural industrial integration, and using the entropy method and grey relational analysis method, it investigated the development of rural industrial integration in Zhejiang province from 2007 to 2022 and its influencing factors. The results showed that from 2007 to 2022, the rural industry integration index in Zhejiang province had been increasing year by year, from 0.164 4 to 0.775 8. Hangzhou and Ningbo had long been among the top cities in terms of rural industry integration index, while Lishui and Quzhou had long been at the bottom of the province. Overall, the rural industry integration index in Zhejiang province showed a trend of "high in the north and low in the south". The development, changes, and distribution patterns of rural industrial integration behavior and efficiency index were basically consistent with those of rural industrial integration index. (2) The level of urbanization, income gap between urban and rural residents, income level of rural residents, consumption level of rural residents, comprehensive land output rate, research and experimental development funds, and the proportion of agriculture, forestry, animal husbandry and fishery services were highly correlated with the integration of rural industries, with values of 0.952 8, 0.922 7, 0.910 9, 0.875 8, 0.852 2, 0.813 3, and 0.7736, respectively. Therefore, in the future, Zhejiang province should start from promoting the integration of rural industries and coordinated development of urbanization, strengthening infrastructure construction, enhancing agricultural technology level, and expanding the extension of agricultural industry chain to achieve diversified and integrated development of rural industries.
Key words:  integration of rural industries  influencing factor  entropy method  grey correlation  Zhejiang province
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