摘要
为研究上海都市农业与二三产业融合结构的特点,文章选取与上海城镇化水平接近的北京、天津等九个省市,针对农业与其他产业的融合水平进行实证研究。文章选用相关省市的投入产出表,建立以完全消耗系数和完全分配系数为基础的指标系列,应用灰靶决策模型,计算各省市二、三产业与农业的融合度系数。对计算结果进行相关性分析,并以上海为疑似离群值,其他省市为观测值,进行离群值检验。结果表明,上海农业与二、三产业融合结构与观测省市有差异,且批发和零售业,租赁和商务服务业,水利、环境和公共设施管理业与农业的融合度显著高于观测省市。
In this paper,nine provinces,where urbanization rate was close to Shanghai,were selected for empirical comparison with Shanghai on industry convergence structure among urban agriculture industry,secondary industry and tertiary industry. Four index sequences based on complete consumption coefficient and complete distribution coefficient calculated by input-output tables were built to input model of grey target for the coefficient of industry convergence degree. And then,nine provinces coefficient of industry convergence degree sequence were compared by correlation analysis,and by outlier test. Analysis results show that the industry convergence structure of urban agriculture industry,secondary industry and tertiary industry in Shanghai are different from the other provinces,and the coefficient of industry convergence degree of three industries in Shanghai,including wholesale and retail trade,leasing and business services and management of water conservancy ＆ environment and public facilities,significantly higher than others.
作者
曹祎遐
耿昊裔
Cao Yixia;Geng Haoyi(Institute of Applied Economics,Shanghai Academy of Social Sciences,Shanghai 200020;Shanghai Light Industry Sci＆Tech Intelligence Institute,Shanghai 200042,China)
出处
《复旦学报（社会科学版）》
CSSCI
北大核心
2018年第4期149-157,共9页
Fudan Journal（Social Sciences）
关键词
上海
都市农业
产业融合
灰靶决策模型
比较分析
Shanghai
urban agriculture
industry convergence
model of grey target
comparative analysis
