基于2001-2016年省级面板数据，对我国实体经济与各要素投入协同度进行系统测算，并对其协同发展水平时空差异及经济效应进行实证分析。结果发现：①我国实体经济与三大要素协同度均呈波动上升态势，其中，实体经济与人力资源要素协同度均值最高，实体经济与现代金融要素协同度均值次之，实体经济与科技创新协同度均值最低，且均表现为东部地区协同度最高，中部次之，西部最低；②实体经济与各要素投入协同度重心向西南方向移动，中西部地区正成为新时期现代化经济体系建设的重要支撑区域；③实体经济与科技创新要素协同发展的区域相对差异呈扩大趋势，实体经济与现代金融、人力资源协同度的区域相对差异呈缩小趋势，但东-西部地区间差异均最大，其中超变密度差距是区域间差距的主要来源；④从全国层面看，实体经济与三大要素投入协同发展有利于提高全要素生产率，产生了显著高质量发展效应，但这种效应在不同地区表现出一定的异质性。
Based on the provincial panel data from 2001 to 2016, this paper constructs a coordinated index system for the real economy and the input of technological innovation, modern finance and human resources, and systematically measures the coordination degree between the real economy and the input factors. This paper makes an empirical analysis of the spatial and temporal differences and economic effect of its cooperative development level. The study indicates that:①the degree of coordination between China's real economy and the three major factors is volatility, with the highest degree of coordination between the real economy and human resources, the second highest degree of coordination between the real economy and modern financial factors, and the lowest between the real economy and technological innovation. All of them showed the highest degree of coordination in the eastern region, followed by the central region and the lowest in the western region;②the center of gravity of the coordination degree between the real economy and the input of various factors moves southwest, and the central and western regions are becoming an important supporting area for the construction of modern economic system in the new period;③the regional relative differences in the coordinated development of the real economy and technological innovation factors are expanding. The relative regional differences in the degree of coordination between the real economy and modern finance, the real economy and human resources are shrinking. But the differences between the eastern and western regions are the largest, the hyper-density gap is the main source of inter-regional difference;④at the national level, the coordinated development of the real economy and the input of the three major factors is conducive to the improvement of total factor productivity, resulting in a significant high-quality development effect, but this effect shows some heterogeneity in different regions.
[1] 黄汉权.建设支撑高质量发展的现代产业体系[N].经济日报,2018-05-10(14).
[2] 刘志彪. 建设实体经济与要素投入协同发展的产业体系[J]. 天津社会科学, 2018(2)：109-114.
[3] KIM Y K, LEE K. Different impacts of scientific and technological knowledge on economic growth: contrasting science and technology policy in East Asia and Latin America[J]. Asian Economic Policy Review, 2015, 10(1): 43-66.
[4] DA SILVA S H R, TABAK B M, CAJUEIRO D O ,et al. Economic growth, volatility and their interaction: what's the role of finance[J]. Economic Systems, 2017, 41(3): 433-444.
[5] LASKOWSKA I, DANSKA-BORSIAK B.The importance of human capital for the economic development of EU regions [J].Comparative Economic Research, 2016, 19(5): 63-79.
[6] 杨武,杨淼.中国科技创新与经济发展耦合协调度模型[J].中国科技论坛,2016(3):30-35.
[7] 陆远权,夏月.我国金融业与实体经济非协同发展关系研究[J].华东经济管理,2014,28(8):52-55+73.
[8] 逯进,周惠民.中国省域人力资本与经济增长耦合关系的实证分析[J].数量经济技术经济研究,2013,30(9):3-19+36.
[9] 廖祖君,王理.城市蔓延与区域经济高质量发展——基于DMSP/OLS夜间灯光数据的研究[J].财经科学,2019(6):106-119.
[10] 滕堂伟,欧阳鑫.长三角高质量一体化发展路径探究——基于城市经济效率视角[J].工业技术经济,2019,38(7):152-160.
[11] 余泳泽,杨晓章,张少辉.中国经济由高速增长向高质量发展的时空转换特征研究[J].数量经济技术经济研究,2019,36(6):3-21.
[12] 马茹,罗晖,王宏伟,等.中国区域经济高质量发展评价指标体系及测度研究[J].中国软科学,2019(7):60-67.
[13] 韩君,张慧楠.中国经济高质量发展背景下区域能源消费的测度[J].数量经济技术经济研究,2019,36(7):42-61.
[14] 方敏,杨胜刚,周建军,等.高质量发展背景下长江经济带产业集聚创新发展路径研究[J].中国软科学,2019(5):137-150.
[15] 刘伟江,王虎邦.地方债务对经济高质量发展的影响分析[J].云南财经大学学报,2018,34(10):73-85.
[16] 华坚,胡金昕.中国区域科技创新与经济高质量发展耦合关系评价[J].科技进步与对策,2019,36(8):19-27.
[17] 汪丽娟,吴福象,蒋欣娟.双向FDI技术溢出能否助推经济高质量发展[J].财经科学,2019(4):64-79.
[18] ILLINGWORTH V.The penguin dictionary of physics[M].Beijing:Foreign Language Press,1996:92-93.
[19] 武玉英,魏国丹,何喜军.基于耦合系数模型的高技术制造业与要素协同度测度及实证[J].系统工程,2017,35(7):93-100.
[20] 单良,张涛.中国产业结构与就业结构协调性时空演变研究[J].中国人口科学,2018(2):39-49+127.
[21] DAGUM C. A new approach to the decomposition of the Gini income inequality ratio[J].Empirical Economic,1997,22(4):515-531.
[22] 王文静,刘彤,李盛基.人力资本对我国全要素生产率增长作用的空间计量研究[J].经济与管理,2014,28(2):22-28.
[23] 张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952—2000[J].经济研究,2004(10):35-44.
[24] 薛钢,陈思霞,蔡璐.城镇化与全要素生产率差异:公共支出政策的作用[J].中国人口·资源与环境,2015,25(3):50-55.
公众号
订阅号
企业微信客服
鄂公网安备 42010602003780号