虹吸与溢出:科技和金融结合试点政策的空间效应

孟溦 高鸿怡

科研管理 ›› 2023, Vol. 44 ›› Issue (6) : 62-73.

PDF(663 KB)
PDF(663 KB)
科研管理 ›› 2023, Vol. 44 ›› Issue (6) : 62-73.
论文

虹吸与溢出:科技和金融结合试点政策的空间效应

  • 孟溦,高鸿怡
作者信息 +

Siphons and spillovers: The spatial effects of the pilot policies for combining technology with finance

  • Meng Wei, Gao Hongyi
Author information +
文章历史 +

摘要

    基于2002—2020年265个城市的面板数据,采用空间双重差分(SDID)重新检验了试点政策的效果并识别其空间效应表现为虹吸还是溢出。研究发现:(1)在考虑空间效应的前提下,试点政策对试点城市科技创新水平的提升作用仍然显著;(2)试点政策整体上具有空间溢出效应,促进了非试点城市科技创新水平提升;(3)试点政策的空间效应在同一省级政府辖区内同级地方政府间表现为溢出,促进了省内创新共享,但空间效应在跨越省界后表现为虹吸。稳健性检验支持本文结论。本文表明新经济地理(NEG)理论所强调的中心城市对周边城市的虹吸效应和溢出效应同时存在,其相对大小决定政策空间效应的形态。因此政府在推动试点政策有序扩散的同时,必须兼顾地区间利益分配关系,保证政策效果在跨省级行政区划间的连续性,促进区域协同创新。本文为中央纵向干预地方政府协作行为,突破区域束缚打造统一大市场提供了理论依据。

Abstract

    As a place-based intervention experiment, policy makers not only expect the pilot policy for combining technology with finance to play a "pilot role" to enhance the independent innovation capability of pilot areas, but also pay more attention to its "promotion value" and whether it can play a demonstration role to drive the integration of science and technology and finance in more regions and accelerate independent innovation. PSM-DID method has been used to evaluate the "pilot role" of the pilot policy for combining technology with finance comprehensively, but its spatial effect in non-pilot cities has not been carefully investigated. The study of the spatial effect of the pilot policy for combining technology with finance is related to its further promotion and practice, which is an important clue to understand the development of regional science and technology innovation. In particular, how does this spatial effect manifest itself? Siphon or spillover? It is controversial. 
    Based on the panel data of 265 cities from 2002 to 2020, this paper takes the "pilot policy for combining technology with finance" promulgated and implemented by the Ministry of Science and Technology in conjunction with the People′s Bank of China, the China Banking Regulatory Commission, the China Securities Regulatory Commission and the China Insurance Regulatory Commission in 2011 and 2016 as a quasi-natural experiment. For the first time, spatial difference-in-differences (SDID) analysis was used to quantitatively estimate its spatial effect on non-pilot cities. 
    The findings are as follows: (1) Under the premise of considering the spatial effect, the effect of the pilot policy on improving the level of technological innovation in pilot cities is still significant; (2) The pilot policy have spatial spillover effect on the whole, which promotes the scientific and technological innovation level of non-pilot cities; (3) The spatial effect of pilot policies is spillover between local governments at the same level within the same provincial government jurisdiction, which promotes innovation sharing within the province, but the spatial effect is siphon after crossing provincial boundaries, which is not conducive to the scientific and technological innovation of non-pilot cities in different provincial-level regions Robustness test and placebo test both supported the conclusions of this paper. 
    This study empirically tests the spatial effect of the pilot policy for combining technology with finance, and further confirms that the SUTVA hypothesis in the difference-in-differences method is not valid. Ignoring the spatial effect of the pilot policy for combining technology with finance will produce deviation in policy evaluation. The existence of spatial effect has verified and enriched the value of China′s policy pilot and made theoretical contribution to improving the scientific nature of policy evaluation after the event. The heterogeneity of the spatial effects of pilot policies on provincial administrative boundaries is also found, which fills the gap of previous studies. 
    This paper shows that the siphon effect and spillover effect of the central city on the surrounding city emphasized by the New Economic Geography (NEG) theory exist simultaneously, and the relative size determines the shape of the spatial effect of policy. When the siphon effect is greater than the spillover effect, the overall siphon effect dominates, and the policy pilot will inhibit the technological innovation of non-pilot cities. When the spillover effect is greater than the siphon effect, the spillover effect dominates on the whole, and the policy pilot can promote the technological innovation of non-pilot cities. Therefore, in order to accelerate the realization of the innovation-driven development strategy, the government must fully consider the inter-regional interest distribution relationship while promoting the orderly diffusion of pilot policies, pay attention to the influence of the internal political process and administrative structure of local governments on policy innovation and diffusion, and ensure the continuity of policy effects across provincial administrative divisions. 
    This finding further provides theoretical support for the central government to intervene vertically in the cooperative behavior of local governments, break down local protectionism, crack market segmentation and break through regional constraints to build a unified large market. To build bridges for innovation sharing, promote knowledge flow across administrative regions, and promote regional collaborative innovation.

关键词

科技金融 / 科技创新 / 政策评估 / 空间双重差分


Key words

science and technology finance / scientific and technological innovation / policy assessment / spatial difference-in-differences (DID) method


引用本文

导出引用
孟溦 高鸿怡. 虹吸与溢出:科技和金融结合试点政策的空间效应[J]. 科研管理. 2023, 44(6): 62-73
Meng Wei, Gao Hongyi. Siphons and spillovers: The spatial effects of the pilot policies for combining technology with finance[J]. Science Research Management. 2023, 44(6): 62-73

参考文献

[1]张明喜, 魏世杰, 朱欣乐.科技金融:从概念到理论体系构建[J].中国软科学, 2018, 33(4):31-42
[2]于李娜, 谢怀筑.货币政策溢出效应:成因、影响与对策[J].中国社会科学院研究生院学报, 2011, 33(1):51-57
[3]刘尧成.国际货币政策溢出效应、人民币汇率与中国贸易差额——基于TVP-VAR-SV模型的动态影响关系分析[J].世界经济研究, 2016, 35(6):69-81
[4]楚尔鸣, 王真.中国货币政策溢出效应的异质性研究——基于51个国家的面板数据分析[J].国际金融研究, 2018, 33(10):13-22
[5]Andr`e L.S. Chagas, Carlos R. Azzoni, Alexandre N. Almeida.A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases[J].Regional Science and Urban Economics, 2016, 59(4):24-36
[6]李治国, 王杰.中国碳排放权交易的空间减排效应:准自然实验与政策溢出[J].中国人口·资源与环境, 2021, 31(01):26-36
[7]凌卯亮, 徐林.环保领域行为公共政策溢出效应的影响因素——一个实验类研究的元分析[J].公共管理学报, 2021, 18(02):95-104
[8]余泳泽.政府支持、制度环境、FDI与我国区域创新体系建设[J].产业经济研究, 2011, 10(1):47-55
[9]李志刚, 汤书昆, 梁晓艳, 吴灵光.我国创新产出的空间分布特征研究——基于省际专利统计数据的空间计量分析[J].科学学与科学技术管理, 2006, 27(8):64-71
[10]张明倩,中国产业集聚现象统计模型及应用研究[M], 北京:中国标准出版社, 2006.
[11]芦锋, 韩尚容.我国科技金融对科技创新的影响研究——基于面板模型的分析[J].中国软科学, 2015, 30(6):139-147
[12]Dushnitsky G, Lenox M J.When do incumbents learn from entrepreneurial ventures?: Corporate venture capital and investing firm innovation rates[J].Research Policy, 2005, 34(5):615-639
[13]Canepa A, Stoneman P.Financial constraints to innovation in the UK: evidence from CIS2 and CIS3[J].Oxford economic papers, 2008, 60(4):711-730
[14]Benfratello L, Schiantarelli F, Sembenelli A.Banks and innovation: Microeconometric evidence on Italian firms[J].Journal of Financial Economics, 2008, 90(2):197-217
[15]王雷,党兴华.R& D经费支出、风险投资与高新技术产业发展:基于典型理论相关分析的中国数据实证研究[J].研究与发展管理,2008(8):13-19., 2008, 20(8):13-19
[16]邹克, 倪青山.公共科技金融存在替代效应吗?——来自283个地市的证据[J].中国软科学, 2019, 34(3):164-173
[17]Hyytinen A, Toivanen O.Do financial constraints hold back innovation and growth?: Evidence on the role of public policy[J].Research policy, 2005, 34(9):1385-1403
[18]洪银兴.科技金融及其培育[J].经济学家, 2011, 23(6):22-27
[19]Leleux B, Surlemont B.Public versus private venture capital: seeding or crowding out? A pan-European analysis[J].Journal of Business Venturing, 2003, 18(1):81-104
[20]George G, Prabhu G N.Developmental financial institutions as technology policy instruments: Implications for innovation and entrepreneurship in emerging economies[J].Research Policy, 2003, 32(1):89-108
[21]张玉喜, 赵丽丽.中国科技金融投入对科技创新的作用效果——基于静态和动态面板数据模型的实证研究[J].科学学研究, 2015, 33(02):177-184
[22]余泳泽.政府支持、制度环境、FDI与我国区域创新体系建设[J].产业经济研究, 2011, 10(1):47-55
[23]马凌远, 李晓敏.科技金融政策促进了地区创新水平提升吗?——基于“促进科技和金融结合试点”的准自然实验[J].中国软科学, 2019, 34(12):30-42
[24]郑石明, 伍以加, 邹克.科技和金融结合试点政策有效吗?——基于双重差分法的研究[J].中国软科学,2020,35(01):49-58
[25]李政, 杨思莹.国家高新区能否提升城市创新水平?[J].南方经济, 2019, 37(12):49-67
[26]杨洋, 朱文仓.人才“虹吸效应”及其对策[J].中国人才, 2006, 21(23):45-45
[27]孙红军, 张路娜, 王胜光.科技人才集聚、空间溢出与区域技术创新——基于空间杜宾模型的偏微分方法[J].科学学与科学技术管理, 2019, 40(12):58-69
[28]傅首清.区域创新网络与科技产业生态环境互动机制研究——以中关村海淀科技园区为例[J].管理世界, 2010, 26(6):8-13
[29]黄群慧, 崔志新, 叶振宇.北京“三城一区”科技创新要素流动和联动发展路径研究[J].北京工业大学学报社会科学版, 2020, 20(03):56-64
[30]吴素春, 聂鸣.创新资源状况对创新型城市建设的影响——对我国创新型试点城市的实证研究[J].技术经济与管理, 2013, 20(2):111-115
[31]龚刚, 魏熙晔, 杨先明, 赵亮亮.建设中国特色国家创新体系 跨越中等收入陷阱[J].中国社会科学, 2017, 38(8):61-86
[32]徐换歌, 蒋硕亮.国家创新型城市试点政策的效果以及空间溢出[J].科学学研究, 2020, 38(12):2161-2170
[33]Shipan, Charles R.and Craig VoldenThe Mechanisms of Policy Diffusion[J].American Journal of Political Science, 2008, 52(4):840-57
[34]李治国, 王杰.中国碳排放权交易的空间减排效应:准自然实验与政策溢出[J].中国人口·资源与环境, 2021, 31(01):26-36
[35]夏岩磊, 刘冰, 李丹.“全创改试验”政策效果评估:独善其身还是惠及四野[J].中国科技论坛, 2020, 36(11):26-37
[36]章文光, 宋斌斌.从国家创新型城市试点看中国实验主义治理[J].中国行政管理, 2018, 25(12):89-95
[37]杨武, 王玲.技术创新溢出的乘数效应与加速效应研究[J].科学学研究, 2005, 23(3):425-427
[38]Romer P M.Increasing Returns and Long-Run Growth[J].Journal of Political Economy, 1986, 94(2):1002-1037
[39]Verdolini, E, Galeotti, M..At home and abroad: an empirical analysis of innovation and diffusion in energy- efficient technologies.[J].Environmental Economics and Management, 2011, 91(2):119-134
[40]傅利平, 周小明, 张烨.高技术产业集群知识溢出对区域创新产出的影响研究——以北京市中关村科技园为例[J].天津大学学报社会科学版, 2014, 16(04):300-304
[41]朱美光.空间知识溢出与我国区域经济发展政策研究[J].科技进步与对策, 2007, 24(6):17-20
[42]Krugman P.Geography and Trade[M]. Cambridge:The MIT Press, 1991.
[43]Chu Y, Tian X, Wang W.Corporate innovation along the supply chain[J].Management Science, 2019, 65(6):2445-2466
[44]Griliches Z.The search for R& D spillovers1991, 94:29-47.[J].Scandinavian Journal of Economics, 1991, 94(2):29-47
[45]程水红, 曾菊新.中心城市技术空间扩散与经济增长实证分析——以海峡西岸经济区为例[J].经济地理, 2017, 37(10):143-150
[46]刘和东.开放经济下区域创新溢出效应的空间计量分析[J].南京农业大学学报社会科学版, 2012, 12(03):102-109
[47]黄炜, 张子尧, 刘安然.从双重差分法到事件研究法[J].产业经济评论, 2022, 10(2):17-36
[48]Jia R, Shao S, Yang L.High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach[J].Energy Economics, 2021, 7(99):105-271
[49]Bertrand M, Mullainathan S.Do people mean what they say? Implications for subjective survey data[J].American Economic Review, 2001, 91(2):67-72
[50]Hsu P H, Tian X, Xu Y.Financial development and innovation: Cross-country evidence[J].Journal of financial economics, 2014, 112(1):116-135
[51]蒋天颖.我国区域创新差异时空格局演化及其影响因素分析[J].经济地理, 2013, 33(06):22-29
[52]卞元超, 吴利华, 白俊红.高铁开通是否促进了区域创新?[J].金融研究, 2019, 62(6):132-149
[53]周天芸, 王莹.金融机构空间集聚与经济增长——来自广东省县域的实证检验[J].地理研究, 2014, 33(06):1119-1128
[54]窦雪霞, 程开明, 窦志强.创新溢出的空间尺度与实证检验[J].科研管理, 2009, 30(04):51-56
[55]向宽虎, 陆铭.在发展中促进相对平衡:对中国地区发展政策的思考[J].国际经济评论, 2022, 44(5):77-92
[56]王浦劬, 赖先进.中国公共政策扩散的模式与机制分析[J].北京大学学报哲学社会科学版, 2013, 50(06):14-23
[57]朱旭峰, 张友浪.创新与扩散:新型行政审批制度在中国城市的兴起[J].管理世界, 2015, 31(10):91-116
[58]Xufeng Zhu.Mandate versus championship: Vertical government intervention and diffusion of innovation in public services in authoritarian China[J].Public Management Review, 2014, 16(1):117-139

基金



PDF(663 KB)

Accesses

Citation

Detail

段落导航
相关文章

/