|
|
Intra-industry and Inter-industry Path Inspection of ODI Reverse Technology Spillove:Based on the Grafting of Spatial Econometrics Methods |
Xia Ming1,2 |
(1.Yangtze River Delta Economics and Social Development Research Center,Nanjing University,Nanjing 210093,China;2.Jiangxi Economic Development and Reform Research Institute,Jiangxi University of Finance and Economics,Nanchang 330013,China) |
|
|
Abstract In the case of low-end lock-in of FDI technology spillover and technology blockade implemented by developed countries, ODI that takes the initiative to go abroad has become an increasingly important way for China to actively obtain advanced technology and take the path of innovation driven and high-quality development. The role of ODI in promoting the technological progress of the home country is mainly achieved through reverse technology spillover. The mechanism path of ODI reverse technology spillover can generally be divided into three levels: enterprise level, intra-industry level and inter-industry level. At present, many empirical tests and theoretical analysis of mechanism paths have been carried out on ODI reverse technology spillovers at the enterprise level at home and abroad, while for the intra-industry and inter-industry levels, most of them are theoretical analyses that stay on the mechanism path, and few are aimed at empirical tests of the two-level mechanism pathway. In view of this, the article creatively introduces the idea of spatial correlation in spatial econometrics, constructs a spatial weight matrix that reflects the interconnection between enterprises in the same industry and reflects the interconnection between industries, and establishes a spatial Dubin model taking the manufacturing industry as an example to empirically test the intra-industry and inter-industry paths. This study makes the pioneering innovation in the method and thinking,and it is the first to make empirical test on the theoretical intra-industry and inter-industry paths.#br#In terms of the intra-industry path inspection, according to the "0-1" setting method of the spatial weight matrix, the spatial correlation weight between different enterprises in the same industry is set to 1, and the spatial correlation weight between enterprises in different industries is set to 0. The variable data in the econometric model mainly comes from the database of listed companies. The test on the intra-industry path shows that the total factor productivity of enterprises will be affected by the ODI activities of other enterprises in the same industry. After the enterprises in the industry promote their own technological progress through ODI, they also promote other enterprises in the same industry through various competition and cooperation relationships between enterprises. The intra-industry path is thus validated.#br#In terms of inter-industry path, the average value of direct or complete consumption coefficient between any two industries in the input-output table over the years is used as the average direct or complete consumption coefficient between the two industries in the whole sample period. The correlation between industries is measured by the product of the average direct or complete consumption coefficients of each other, as an element in the weight matrix. The empirical test is based on the international R&D spillover model, namely the C-H-L-P model. Research shows that after promoting the technological progress of the industry themselves through ODI, various manufacturing industries in China have played a role in promoting the technological progress and productivity improvement of other related industries through the forward and backward industrial linkages between industries, and the inter-industry path under the complete industry correlation is more obvious. The inter-industry path is thus validated. #br#From the perspective of the intra-industry path, it is essential to further accelerate the construction of a fair, standardized, competitive and orderly market system, promote the optimal allocation of resources, full competition among enterprises and research and development cooperation and technical exchanges between peer enterprises, and actively build industry technology research and development alliances, all of which can help to play the role of the intra-industry path for ODI reverse technology spillover. From the perspective of inter-industry paths, it is significant to actively promote industrial integration and industrial digital development, strengthen inter-industry connections, promote inter-industry technology, information sharing and the construction of inter-industry technical cooperation mechanisms and cross-industry technology platforms, accelerate the breaking of market segmentation and regional barriers, actively build a domestic big cycle, extend and optimize the industrial chain. These measures can help to play the role of the inter-industry path for ODI reverse technology spillover.#br#
|
Received: 12 August 2021
|
|
|
|
|
[1] 霍忻. 中国对外直接投资逆向技术溢出的产业结构升级效应研究[D].北京:首都经济贸易大学,2016.[2] 陈颂,卢晨.不同投资方式的OFDI逆向技术溢出效应研究[J].国际商务(对外经济贸易大学学报),2017,30(6):86-97.[3] TEECE D J.Japan's growing capabilities in industrial technology[J].Journal of Economic Behavior & Organization,1992,18(1):1-25.[4] 赵伟,古广东,何元庆.外向FDI与中国技术进步:机理分析与尝试性实证[J].管理世界,2006,22(7):53-60.[5] 尹华,朱绿乐.企业技术寻求型FDI实现机理分析与中国企业的实践[J].中南大学学报(社会科学版),2008,14(3):307-311,318.[6] 刘宏,张蕾.中国ODI逆向技术溢出对全要素生产率的影响程度研究[J].财贸经济,2012,33(1):95-100.[7] 郭飞,黄雅金.全球价值链视角下 OFDI 逆向技术溢出效应的传导机制研究[J].管理学刊,2012,25(3):61-65.[8] 符磊,李占国.关于OFDI逆向技术溢出的文献述评[J].国际经贸探索,2013,29(9):70-81.[9] 王桂军,卢潇潇.“一带一路”倡议与中国企业升级[J].中国工业经济,2019,36(3):43-61. [10] KOGUT B,CHANG S J.Technological capabilities and Japanese foreign direct investment in the United States[J].Review of Economics and Statistics,1991,73(3): 401-413. [11] IWASA T,ODAGIRI H.Overseas R&D,knowledge sourcing,and patenting: an empirical study of Japanese R&D investment in the US[J]. Research Policy,2004,33(5):807-828.[12] BRANSTETTER L G.Is foreign direct investment a channel of knowledge spillovers? evidence from Japan's FDI in the United States[J].Journal of International Economics,2006,68(2): 325-344.[13] MASSO J,VAHTER P. The role of product level entry and exit in export and productivity growth: evidence from Estonia[J]. SSRN Electronic Journal,2012. [14] GAZANIOL A,PELTRAULT F.Outward FDI,performance and group affiliation: evidence from French matched firms[J]. Economics Bulletin,2013,33(2): 891-904.[15] COZZA C,RABELLOTTI R,SANFILIPPO M.The impact of outward FDI on the performance of Chinese firms[J].China Economic Review ,2015, 36: 42-57.[16] DAMIJAN J,KOSTEVC C,ROJEC M.Not every kind of outward FDI increases parent firm performance: the case of New EU Member States[J].Emerging Markets Finance and Trade,2017,53(1): 74-97. [17] PIPEROPOULOS P,WU J,WANG C. Outward FDI,location choices and innovation performance of emerging market enterprises[J].Research Policy,2018,47(1): 232-240. [18] YOUXING H,YAN Z.The innovation spillovers from outward and inward foreign direct investment: a firm-level spatial analysis[J].Spatial Economic Analysis,2020,15(1): 43-59.[19] 蒋冠宏,蒋殿春,蒋昕桐.我国技术研发型外向FDI的“生产率效应”——来自工业企业的证据[J].管理世界,2013,29(9):44-54. [20] 肖慧敏,刘辉煌.中国对外直接投资提升了企业效率吗[J].财贸经济,2014,35(5):70-81. [21] 毛其淋,许家云.中国对外直接投资如何影响了企业加成率:事实与机制[J].世界经济,2016,39(6):77-99.[22] 叶娇,赵云鹏.对外直接投资与逆向技术溢出——基于企业微观特征的分析[J].国际贸易问题,2016,41(1):134-144.[23] 宋林,张丹,谢伟.对外直接投资与企业绩效提升[J].经济管理,2019,40(9):57-74.[24] 杨振兵,严兵.对外直接投资对产能利用率的影响研究[J].数量经济技术经济研究,2020,36(1):102-121.[25] 高良谋,李宇.企业规模与技术创新倒U关系的形成机制与动态拓展[J].管理世界,2009,25(8):113-123.[26] 张莉,李绍东.企业规模、技术创新与经济绩效——基于工业企业调查数据的实证研究[J].财经科学,2016,59(6):67-74.[27] 陈斌开,金箫,欧阳涤非.住房价格、资源错配与中国工业企业生产率[J].世界经济,2015,38(4):77-98.[28] 杨德彬.跨国并购提高了中国企业生产率吗——基于工业企业数据的经验分析[J].国际贸易问题,2016,41(4):166-176.[29] HENRY M,KNELLER R,MILNER C. Trade,technology transfer andnational efficiency in developing countries[J]. European Economic Review,2009,53(2): 237-254.[30] LICHTENBERG F R,POTTERIE B.Does foreign direct investment transfer technology across borders[J].The Reviews of Economics and Statistics,2001,83(3): 490-497. |
|
|
|