The Spatial Spillover Effect of China’s High-tech Industry Agglomeration and its Regional Differences——A Spatial Econometric Study Based on Jechnological Distance Weighting Method
WANG Peng, WU Silin
College of Economics, Jinan University, Guangzhou 510632, China
Abstract:
The externality of high-tech industries is affected by the spillover effects of agglomeration, and the difference of spillover will be reflected in the regional differences in the development of high-tech industries. The paper carries on an empirical analysis on China’s high-tech industry agglomeration spatial spillover effects from national and regional perspectives with the single-regime and two-regime Durbin Model. The paper also takes a discussion on the differences of spatial spillover effect in the coastal area and inland. The results show that China’s high-tech industry agglomeration spatial spillover effect is obvious, the difference in the overflow direction lead to coastal area is given priority to with diversified agglomeration, inland is given priority to with centralized agglomeration. At the same time, the agglomeration of high-tech industries in China’s various regions has developed different levels of spillovers through R&D investment, investment and market size. Among them, the R&D fund investment promotes positive spillover, but the R&D personnel input has the inhibition effect. The positive spillover effect of investment in high-tech industries is obvious, and it also has a significant effect on local agglomeration. The expansion of market size will bring more competition and cause decentralization, weaken the convergence and restrain positive spillovers.
WANG Peng, WU Silin.The Spatial Spillover Effect of China’s High-tech Industry Agglomeration and its Regional Differences——A Spatial Econometric Study Based on Jechnological Distance Weighting Method[J] Economic Survey, 2020,V37(2): 86-96
白重恩, 杜颖娟, 陶志刚, 等. 2004. 地方保护主义及产业地区集中度的决定因素和变动趋势[J]. 经济研究(4): 29-40. 陈昌兵. 2014. 可变折旧率估计及资本存量测算[J]. 经济研究(12): 72-85. 陈劲, 梁靓, 吴航. 2013. 开放式创新背景下产业集聚与创新绩效关系研究:以中国高技术产业为例[J]. 科学学研究(4): 623-629. 王春晖.2019.区域异质性,产业集聚与人力资本积累:中国区域版面数据的实证[J]. 经济经纬(1):87-94. 伍先福.2019.产业协同集聚对全要素生产率影响的门槛效应研究:基于中国246个城市的实证检验[J]. 经济经纬(2):72-78. 吴延兵. 2006. R&D存量、知识函数与生产效率[J]. 经济学(季刊)(3): 1129-1156. 余泳泽. 2015. 中国区域创新活动的“协同效应”与“挤占效应”:基于创新价值链视角的研究[J]. 中国工业经济(10): 37-52. 张宗益, 李森圣. 2014. 高技术产业集聚外部性特征的动态性和差异性研究:基于时变参数估计的分析[J]. 产业经济研究(3): 22-31. 周俊, 秦俏寒. 2017. 经济开放度对中国技术效率的影响——基于省际面板数据的实证研究[J]. 财贸研究(1): 26-36. BEULE F D, BEVEREN I V. 2012. Does firm agglomeration drive product innovation and renewal? An application for belgium[J]. Tijdschrift Voor Economische En Sociale Geografie, 103(4): 457-472. BOSCHMA R, MINONDO A, NAVARRO M. 2012. Related variety and regional growth in Spain[J]. Papers in Regional Science, 91(2): 241-256. CICCONE A, HALL R E. 1996. Productivity and the density of economic activity[J]. Robert Hall, 86(1): 54-70. DURANTON G, PUGA D. 2001. Nursery cities: Urban diversity, process innovation, and the life cycle of products[J]. American Economic Review, 91(5): 1454-1477. ELHORST J P, FRRET S. 2009. Evidence of political yardstick competition in france using a two-regime spatial durbin model with fixed effect[J]. Journal of Regional Science, 49(5): 931-951. GOTO A, SUZUKI K. 1989. R&D capital, rate of return on R&D investment and spillover of R&D in Japanese Manufacturing Industries[J]. Review of Economics and Statistics, 71(4): 555-564. GRILICHES Z. 1979. Issues in assessing the contribution of research and development to productivity growth[J]. Bell Journal of Economics, 10(1): 92-116. ISAKSSON O H D, SIMETH M, SEIFERT R W. 2016. knowledge spillovers in the supply chain: Evidence from the high tech sectors[J]. Research Policy, 45(3): 699-706. JAFFE A B. 1989. Real effects of academic research[J]. American Economic Review, 79(5): 957-970. PORTER M E. 1998. Clusters and the new economics of competition[J]. Harvard Business Review, 76(6): 77-90. YEHOUE E B. 2005. Clusters as a driving engine for FDI[J]. Economic Modelling, 26(5): 934-945.