摘要
城市间的产业升级、产业转移和产业集聚使得产业生态化具有城市间的空间溢出效应,研究城市产业生态化协同性能够更精确的把握产业生态化转型的演变趋势,为区域产业生态化协同建设提供参考。本文采用熵权改进CRITIC法测算了2011—2019年长三角城市群产业生态化效能,通过引力模型构建有向复杂网络分析其产业生态化协同效应,结果显示:江浙沪地区核心城市产业生态化辐射能力较强,合肥辐射带动能力相对较弱;至2019年南京、合肥、芜湖、常州四个城市起着重要“桥梁作用”;网络密度由0.192提升至0.717,要重视提升属于第Ⅳ子群的安徽部分边缘城市的关联强度;QAP回归显示地理位置仍然是制约区域产业生态化协同程度的重要因素,经济发展、科技创新、城镇化对城市网络地位有显著影响。并据此提出相关政策建议。
The industrial upgrading,industrial transfer and industrial agglomeration between cities make the industrial ecology have the spatial spillover effect between cities.The study of urban industrial ecological synergy can more accurately grasp the evolution trend of industrial ecological transformation and provide reference for the collaborative construction of regional industrial ecology.In this paper,the entropy weight improved critical method is used to calculate the industrial ecological efficiency of urban agglomeration in the Yangtze River Delta from 2011 to 2019.The directed complex network is constructed through the gravity model to analyze its industrial ecological synergy.The results show that the core cities in Jiangsu,Zhejiang and Shanghai have strong industrial ecological radiation ability,the input intensity of Shanghai needs to be improved,and the radiation driving ability of Hefei is relatively weak;By 2019,Nanjing,Hefei,Wuhu and Changzhou will play an important"bridge role";The network density has increased from 0.192 to 0.717.We should pay attention to improving the correlation strength of some marginal cities in Anhui,which belong to subgroup IV;QAP regression shows that geographical location is still an important factor restricting the degree of regional industrial ecological synergy,while economic development,scientific and technological innovation and urbanization play a positive role.And put forward relevant policy suggestions accordingly.
作者
孙国强
高广阔
Sun Guoqiang;Gao Guangkuo(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《上海经济》
2022年第3期33-50,共18页
Shanghai Economy
基金
上海市哲学社会科学规划基金“基于大数据综合指数测度法的‘一体化示范区建设’指标体系构建、评价及优化”(2020BGL012)
国家社会科学基金资助项目“基于大数据关联分析的中国雾霾污染问题统计研究”(15BTJ017)。
关键词
产业生态化
协同性
有向加权复杂网络
节点重要性
凝聚子群分析
Industrial Ecologicalization
Synergism
Directed Weighted Complex Network
Node Importance
Analysis of Condensed Subgroup
