Research on the Influence of Differentiated Local Investment on Urban Innovation: Based on Land Market Transaction Data

Collected Essays on Finance and Economics ›› 2022, Vol. 38 ›› Issue (8): 29-36.

Previous Articles Next Articles

Research on the Influence of Differentiated Local Investment on Urban Innovation: Based on Land Market Transaction Data

WANG Chunjie^1,2, HUANG Jinsheng¹, ZOU Wei²

1. School of business, Anhui University of Technology, Ma'anshan 243002, China;
2. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China

Received:2021-04-23 Online:2022-08-10 Published:2022-09-06

差别化以地引资对城市创新的影响研究——基于土地市场交易数据的考察

王春杰^1,2, 黄金升¹, 邹伟²

1.安徽工业大学商学院,安徽马鞍山 243002;
2.南京农业大学公共管理学院,江苏南京 210095

通讯作者: 黄金升(1989—),男,福建泉州人,安徽工业大学商学院讲师,博士;邹伟(1972—),男,四川渠县人,南京农业大学公共管理学院教授,博士生导师。
作者简介:王春杰(1992—),女,河南南阳人,安徽工业大学商学院讲师,南京农业大学公共管理学院博士生。
基金资助:
国家自然科学基金项目(42071221);教育部人文社会科学青年基金项目(19YJC790039);安徽省自然科学基金青年项目(1908085QG303)

Abstract

Abstract: Based on the data of the land market transaction and the urban innovation index from 2007 to 2016, this paper first theoretically analyzes the influence effect and the action mechanism of local governments' differentiate dinvestment on urban innovation, and then uses the panel fixed effect, 2SLS and the intermediary effect model to conduct the empirical test. It is found that the local government land supply strategy, compared with the low price, can significantly promote urban innovation. The action mechanism analysis indicates that the industrial structure upgrading effect, the environmental pollution effect and the industrial agglomeration effect are important transmission paths for local governments to influence urban innovation.

Key words: Differentiation of Land Investment, Urban Manufacturing Innovation, Industrial Structure Upgrading, Environmental Pollution, Industrial Agglomeration

摘要： 基于2007—2016年的土地市场交易和城市创新指数数据,本文从理论层面上剖析地方政府差别化以地引资对城市创新的影响效应及其作用机制,并运用面板固定效应、2SLS和中介效应模型进行实证检验。研究结果显示,地方政府供地策略呈现出差别化特征,与低价以地引资策略相比,策略性以地引资能够显著促进城市创新;作用机制分析表明,产业结构升级效应、环境污染效应和产业集聚效应是地方政府差别化以地引资影响城市创新的重要传导路径。

关键词: 差别化以地引资, 城市创新, 产业结构升级, 环境污染, 产业集聚

CLC Number:

F301.3

WANG Chunjie, HUANG Jinsheng, ZOU Wei. Research on the Influence of Differentiated Local Investment on Urban Innovation: Based on Land Market Transaction Data[J]. Collected Essays on Finance and Economics, 2022, 38(8): 29-36.

王春杰, 黄金升, 邹伟. 差别化以地引资对城市创新的影响研究——基于土地市场交易数据的考察[J]. 财经论丛, 2022, 38(8): 29-36.

References

[1] 闫昊生, 孙久文, 苏玺鉴. 土地要素: 一个中国特色的政策工具[J]. 经济学家, 2019, (5): 104-112.
[2] 刘守英, 王志锋, 张维凡, 等. “以地谋发展”模式的衰竭——基于门槛回归模型的实证研究[J]. 管理世界, 2020, (6): 80-92, 119, 246.
[3] 吴延兵. 中国式分权下的偏向性投资[J]. 经济研究, 2017, (6): 137-152.
[4] 谢呈阳, 胡汉辉. 中国土地资源配置与城市创新: 机制讨论与经验证据[J]. 中国工业经济, 2020, (12): 83-101.
[5] 黄金升, 张耀宇. 经济发展水平差异、产业用地比价与环境污染[J]. 中国地质大学学报(社会科学版), 2020, (5): 91-105.
[6] 刘凯. 中国特色的土地制度如何影响中国经济增长——基于多部门动态一般均衡框架的分析[J]. 中国工业经济, 2018, (10): 80-98.
[7] Xu C. G. The Fundamental Institutions of China's Reforms and Development[J]. Journal of Economic Literature, 2011, (4): 1076-1151.
[8] 张莉, 高元骅, 徐现祥. 政企合谋下的土地出让[J]. 管理世界, 2013, (12): 43-51, 62.
[9] 田文佳, 余靖雯, 龚六堂. 晋升激励与工业用地出让价格——基于断点回归方法的研究[J]. 经济研究, 2019, (10): 89-105.
[10] 席强敏, 梅林. 工业用地价格、选择效应与工业效率[J]. 经济研究, 2019, (2): 102-118.
[11] 李力行, 黄佩媛, 马光荣. 土地资源错配与中国工业企业生产率差异[J]. 管理世界, 2016, (8): 86-96.
[12] Zhang W., H. Xu. Effects of Land Urbanization and Land Finance on Carbon Emissions: A Panel Data Analysis for Chinese Provinces[J]. Land Use Policy, 2017, (63): 493-500.
[13] Lee C. Y. The Differential Effects of Public R&D Support on Firm R&D: Theory and Evidence from Multi-country Data[J]. Technovation, 2011, (5/6) : 256-269.
[14] 李政, 杨思莹, 路京京. 政府参与能否提升区域创新效率?[J]. 经济评论, 2018, (6): 3-14, 27.
[15] Chen T., Kung J. K. S. Do land revenue windfalls create a political resource curse?Evidence from China[J]. Journal of Development Economics, 2016, 123: 86-106.
[16] 安勇, 原玉廷. 土地财政、扭曲效应与区域创新效率[J]. 中国土地科学, 2019, (8): 36-42, 52.
[17] 余泳泽, 宋晨晨, 容开建. 土地资源错配与环境污染[J]. 财经问题研究, 2018, (9): 43-51.
[18] 段莉芝, 陈乐一, 李玉双. 土地资源错配与经济波动——基于中国地级市数据的实证分析[J]. 中国土地科学, 2019, (7): 64-72.
[19] 毛文峰, 陆军. 土地资源错配、城市蔓延与地方政府债务——基于新口径城投债数据的经验证据[J]. 经济学家, 2020, (4): 80-88.
[20] 耿强, 江飞涛, 傅坦. 政策性补贴、产能过剩与中国的经济波动——引入产能利用率RBC模型的实证检验[J]. 中国工业经济, 2011, (5): 27-36.
[21] 李政, 杨思莹, 何彬. FDI抑制还是提升了中国区域创新效率?——基于省际空间面板模型的分析[J]. 经济管理, 2017, 39(4): 6-19.
[22] 张明志, 姚鹏. 产业政策与制造业高质量发展[J]. 科学学研究, 2020, (8): 1381-1389.
[23] 李勇刚. 土地资源错配阻碍了经济高质量发展吗?——基于中国35个大中城市的实证研究[J]. 南京社会科学, 2019, (10): 35-42.
[24] 胡艳, 汪徐. 长江经济带产业结构优化对区域创新绩效的影响差异分析[J]. 科技管理研究, 2019, (14): 86-93.
[25] 张萃. 产业集聚与创新: 命题梳理与微观机制分析[J]. 科学管理研究, 2010, (3): 1-4.
[26] 后小仙, 陈琪, 郑田丹. 财政分权与环境质量关系的再检验——基于政府偏好权变的视角[J]. 财贸研究, 2018, (6): 87-98.
[27] 张平, 张鹏鹏, 蔡国庆. 不同类型环境规制对企业技术创新影响比较研究[J]. 中国人口·资源与环境, 2016, (4): 8-13.
[28] 寇宗来, 杨燕青. 中国城市和产业创新力报告2017[R]. 复旦大学产业发展研究中心, 2017.
[29] 毛文峰, 陆军. 土地要素错配如何影响中国的城市创新创业质量——来自地级市城市层面的经验证据[J]. 产业经济研究, 2020, (3): 17-29, 126.
[30] 胡安俊, 孙久文. 中国制造业转移的机制、次序与空间模式[J]. 经济学(季刊), 2014, (4): 1533-1556.
[31] 汪伟, 刘玉飞, 彭冬冬. 人口老龄化的产业结构升级效应研究[J]. 中国工业经济, 2015, (11): 47-61.
[32] 袁冬梅, 信超辉, 袁珶. 产业集聚模式选择与城市人口规模变化——来自285个地级及以上城市的经验证据[J]. 中国人口科学, 2019, (6): 46-58, 127.
[33] Baron R. M., Kenny D. A. The Moderator-mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations[J]. Journal of Personality and Social Psychology, 1986, 51(6) : 1173-1182.

Research on the Influence of Differentiated Local Investment on Urban Innovation: Based on Land Market Transaction Data

差别化以地引资对城市创新的影响研究——基于土地市场交易数据的考察

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 11

Recommended Articles

Metrics

[1]	SU Lin, HE Zejun, YANG Weiming. Digital Finance and County-Level Economic Development: Influence Mechanism and Heterogeneity Research [J]. Collected Essays on Finance and Economics, 2022, 38(9): 59-68.
[2]	CHEN Jinqi, XIANG Ying, CHEN Qiyuan. Measurement of Pharmaceutical Manufacturing Industry's Participation in“Double Cycle” of Value Chain and Its Industrial Structure Upgrading Effect:A Case Study of Zhejiang Province [J]. Collected Essays on Finance and Economics, 2022, 38(5): 14-23.
[3]	ZHU Dongbo, ZHANG Xiangwei. Research on the Environmental Effect of Digital Finance Development in China and Its Influence Mechanism [J]. Collected Essays on Finance and Economics, 2022, 38(3): 37-46.
[4]	LU Jianghai. Study of Provincial Pollution Preference and Technical Efficiency of Industrial Environment in China [J]. , 2020, 36(12): 98-107.
[5]	CHEN Yang, TANG Xiaohua. Research on the Influence of Industrial Agglomeration on Manufacturing Efficiency——Based on the Perspective of Regional Interaction [J]. , 2019, 35(2): 12-20.
[6]	LIAN Fei, ZHOU Guofu. Institutional Arrangement,Capital Cost and Industrial Agglomeration——Research from the Perspective of Space Economy [J]. , 2019, 35(2): 3-11.
[7]	QIU Feng, YE Mi, XIONG Wei. China's Manufacturing Industry Agglomeration, Geographical Specialization and Structural Evolution [J]. , 2018, 34(9): 21-31.
[8]	ZHANG Zeyi. Environmental Pollution,Green Urbanization Efficiency and its Influential Factors in the Yangtze River Economic Belt ——From the Comprehensive Urbanization Perspective [J]. , 2018, 34(2): 3-10.
[9]	WU Xianfu. Have Producer Services and Manufacturing Industry Co-agglomerationPromoted Total Factor Productivity [J]. , 2018, 34(12): 13-20.
[10]	. Local Officials' Characteristics, Exchange and Environmental Management ——Empirical Evidence from 25 Provincial Units of China in 2003-2013 [J]. , 2016, 32(11): 105-112.
[11]	. Industrial Agglomeration and Wage Differentials [J]. , 2015, 31(9): 3-10.