Abstract
The paper investigates the sector-specific dynamic impacts of FDI inflow on industrial productivity on a comparative basis between developed and developing countries. Different studies observe both positive and negative impacts of FDI on economic growth. However, the existing evidences have not cleared the sector-wise impact of FDI, particularly in industrial sector separately in developing and developed economies. We explore and compare the dynamic relationship between FDI and industrial performances in two groups of countries using data from UNCTAD and World Bank over the period of 1970–2015 in the dynamic panel framework. The stochastic properties of variables are looked into by carrying out various panel unit root tests followed by the GMM estimation. Empirical findings imply that FDI inflows significantly promote industrial growth in both groups of countries; however, the relationship is bi-directional in developing countries and the degree of influence is higher in developed nations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Petrov, B.N., Csáki, F. (eds.) 2nd International Symposium on Information Theory, Budapest, Akadémiai Kiadó, pp. 267–281 (1973)
Arellano, M., Bond, S.: Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev. Econ. Stud. 58, 277–297 (1991)
Barro, R.J., Sala-i-Martin, X.: Economic Growth. MIT Press, Cambridge, MA (1995)
Blomström, M.: Foreign investment and productive efficiency: the case of Mexico. J. Ind. Econ. 35, 97–112 (1986)
Blomström, M., Wolff, E.: Multinational corporations and productivity convergence in Mexico. In: Baumol, W. et al. (eds.) Convergence of Productivity: Cross-National Studies and Historical Evidence. Oxford University Press (1994)
Caves, R.E.: Causes of direct investment: foreign firms’ shares in Canadian and United Kingdom manufacturing industries. Rev. Econ. Stat. 56(3), 279–293 (1974)
Démurger, S., Chen, Y.: Croissance de la productivité dans l’industrie manufacturière chinoise: Le rôle de l’investissement direct étranger. Economie internationale, 2002/4 No. 92: 131–163 (2002)
Globerman, S.: Foreign direct investment and ‘spillover’ efficiency benefits in Canadian manufacturing industries. Can. J. Econ. 12, 42–56 (1979)
Im, K.S., Pesaran, M.H., Shin, Y.: Testing unit roots in heterogeneous panels. J. Econometrics 115, 53–74 (2000)
Javorcik, B.S.: Does foreign direct investment increase the productivity of domestic firms? In search of spillovers through backward linkages. Am. Econ. Rev. 94(3), 605–627 (2004)
Levin, A., Lin, C.F., Chu, C.: Unit root tests in panel data: asymptotic and finite-sample properties. J. Econometrics 108, 1–24 (2002)
Liu, X., Wang, C.: Does foreign direct investment facilitate technological progress? Evidence from Chinese industries. Res. Policy 32, 945–953 (2003)
Lucas, R.: On the mechanics of economic development. J. Monetary Econ. 22, 342–367 (1988)
Prakash, S., Balakrishnan, B.: Managerial approach to conceptualization of development and growth-convergence of macro to micro theory. Bus. Perspect. 8(1)
Romer, P.: Idea gaps and object gaps in economic development. J. Monetary Econ. 32(3), 543–573 (1993)
United Nations Conference on Trade and Development (UNCTAD): Investment and the digital economy, World investment report 2017, Geneva (2017)
United Nations Industrial Development Organization (UNIDO): The role of technology and innovation in inclusive and sustainable industrial development, Industrial development report 2016, Vienna (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sinha, M., Sengupta, P.P. (2019). FDI and Industry in Developed and Developing Countries: A Comparative Dynamic Panel Analysis. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_46
Download citation
DOI: https://doi.org/10.1007/978-981-13-0514-6_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0513-9
Online ISBN: 978-981-13-0514-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)