E-commerce,R&D,and productivity: Firm-level evidence from Taiwan |
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| Authors: | Ting-Kun Liu Jong-Rong Chen Cliff C.J. Huang Chih-Hai Yang |
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| Affiliation: | 1. Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung, Taiwan;2. National Central University, 300, Jhongda Road, Jhongli City, Taoyuan, Taiwan;3. Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN, United States;1. Arizona State University, Tempe, AZ, United States;2. National Bureau of Economic Research, Cambridge, MA, United States;3. Resources for the Future, Washington, DC, United States;4. RTI International, Research Triangle Park, NC, United States;5. The Ohio State University, Columbus, OH, United States;1. Chemical Physics of Materials and Catalysis, Université libre de Bruxelles, Faculty of Sciences, CP 243, 1050, Brussels, Belgium;2. Interdisciplinary Centre for Nonlinear Phenomena and Complex Systems (CENOLI), Université libre de Bruxelles (ULB), Faculty of Sciences, Brussels, Belgium;1. Administration and Management Institute, Ministry of Agriculture and Rural Affairs, Beijing 102208, P.R. China;2. School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, P.R. China;3. Institute of Population and Labor Economics, Chinese Academy of Social Sciences, Beijing 100006, P.R. China;1. LMU Munich, Institute for Strategy, Technology and Organization, Schackstrasse 4/III, 80539 Munich, Germany;2. LMU Munich, Ifo Institute for Economic Research, Poschingerstrasse 5, 81679 Munich, Germany;1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, China;2. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;3. Key Research Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China;4. Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China |
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| Abstract: | This study investigates the impact of e-commerce and R&D on productivity, using a unique panel dataset obtained from Taiwanese manufacturing firms for the period from 1999 to 2002. We specifically consider the network externalities of e-commerce and employ the system generalized method of moment (GMM) technique to deal with the endogenous problem of e-commerce adoption. The empirical results show that both e-commerce and R&D capital have a positive influence on productivity, while R&D exhibits a larger productivity-enhancing effect. We also find a complementary relationship between e-commerce and R&D on enhancing productivity. Crucially, the inter-industry network externality of e-commerce significantly contributes to productivity. |
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| Keywords: | Productivity R&D spillovers E-commerce Network externalities |
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