Icts And Labour Productivity Nexus In Developing Countries: Evidence From Panel Estimation Approach
DOI:
https://doi.org/10.33736/ijbs.6868.2024Keywords:
Information and Communication Technologies (ICTs), Labour Productivity, Two-steps System GMM, Dynamic Panel Quantile RegressionAbstract
This study examines the impact of information and communication technologies (ICTs) on labour productivity in developing countries from 2000 to 2019, using the two-step System GMM estimation and dynamic panel quantile regression. The empirical results present new evidence on the moderating effect of ICTs with human capital, financial development and trade openness on labour productivity in developing countries. The interaction terms between ICTs and these three moderators show positive and statistically significant determinants of labour productivity. These three interaction terms have a greater influence on labour productivity than the impact of each variable assessed individually. The dynamic panel quantile regression results revealed that ICTs statistically significant to enhance labour productivity in lower and intermediate quantiles than in the highest quantiles in developing countries. This finding suggested that ICTs play an essential role in improving productivity at the lower and average labour productivity levels. This study can help policymakers develop a long-term strategy in terms of ICTs adoption and usage more intensively in developing countries as they strive to achieve the goals of industrial 4.0.
References
Abramova, N., & Grishchenko, N. (2020). ICTs, Labour Productivity and Employment: Sustainability in Industries in Russia. Procedia Manufacturing, 43, 299-305. https://doi.org/10.1016/j.promfg.2020.02.161
https://doi.org/10.1016/j.promfg.2020.02.161
Alonso-Borrego, C., Arellano, M., & Alonso-Borrego, C. (1999). Symmetrically normalized instrumental-variable estimation using panel data. Journal of Business & Economic Statistics, 17(1), 36.
https://doi.org/10.1080/07350015.1999.10524795
Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application to Employment Equations. Review of Economic Studies, 58(2), 277-297.
https://doi.org/10.2307/2297968
Arellano, M., & Bover, O. (1995). Another Look at The Instrumental Variable Estimation of Error-Components Models. Journal of Econometrics, 68(1), 29-51.
https://doi.org/10.1016/0304-4076(94)01642-D
Bartel, Ann & Ichniowski, Casey & Shaw, Kathryn. (2007). How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills. The Quarterly Journal of Economics, 122(4). 1721-1758.
https://doi.org/10.1162/qjec.2007.122.4.1721
Barro, R. J. (1991). Economic Growth in a Cross Section of Countries. The Quarterly Journal of Economics, Oxford University Press, 106(2). 407-443.
https://doi.org/10.2307/2937943
Bagley, S. (2010). How to Calculate productivity of Labour. Available from: http://wordwidescience.org/topicpages/l/labor+productivity.html. [Access 14-July-2021].
Beck, U. (2018). What is globalization? John Wiley & Sons.
Bertschek, I., & Niebel, T. (2016). Mobile and more productive? Firm-level evidence on the productivity effects of mobile internet use. Telecommunications Policy, 40(9), 888-898. https://doi.org/10.1016/j.telpol.2016.05.007
https://doi.org/10.1016/j.telpol.2016.05.007
Bloom, Nicholas, Sadun, R., & Reenen, J.V. (2012). Americans Do IT Better: US Multinationals and the Productivity Miracle. American Economic Review, 102(1), 167-201. http://www.aeaweb.org/articles.php?doi=10.1257/aer.102.1.167
https://doi.org/10.1257/aer.102.1.167
Brynjolfsson, E. & Hitt, L.M. (2003). Computing Productivity: Firm-Level Evidence, The Review of Economics and Statistics. 85(4), 793-808
https://doi.org/10.1162/003465303772815736
Blundell, R., & Bond, S. (1998). Initial Conditions and Moment Restrictions in A Dynamic Panel Data Model. Journal of Econometrics, 87(1), 115-143.
https://doi.org/10.1016/S0304-4076(98)00009-8
Cardona, M., Kretschmer, T., & Strobel, T. (2013). ICT and productivity: Conclusions from the empirical literature. Information Economics and Policy, 25(3), 109-125. https://doi.org/10.1016/j.infoecopol.2012.12.002
https://doi.org/10.1016/j.infoecopol.2012.12.002
Abramova, N., & Grishchenko, N. (2020). ICTs, Labour Productivity and Employment: Sustainability in Industries in Russia. Procedia Manufacturing, 43, 299-305. https://doi.org/10.1016/j.promfg.2020.02.161
https://doi.org/10.1016/j.promfg.2020.02.161
Alonso-Borrego, C., Arellano, M., & Alonso-Borrego, C. (1999). Symmetrically normalized instrumental-variable estimation using panel data. Journal of Business & Economic Statistics, 17(1), 36.
https://doi.org/10.1080/07350015.1999.10524795
Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application to Employment Equations. Review of Economic Studies, 58(2), 277-297.
https://doi.org/10.2307/2297968
Arellano, M., & Bover, O. (1995). Another Look at The Instrumental Variable Estimation of Error-Components Models. Journal of Econometrics, 68(1), 29-51.
https://doi.org/10.1016/0304-4076(94)01642-D
Bartel, Ann & Ichniowski, Casey & Shaw, Kathryn. (2007). How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills. The Quarterly Journal of Economics, 122(4). 1721-1758.
https://doi.org/10.1162/qjec.2007.122.4.1721
Barro, R. J. (1991). Economic Growth in a Cross Section of Countries. The Quarterly Journal of Economics, Oxford University Press, 106(2). 407-443.
https://doi.org/10.2307/2937943
Bagley, S. (2010). How to Calculate productivity of Labour. Available from: http://wordwidescience.org/topicpages/l/labor+productivity.html. [Access 14-July-2021].
Beck, U. (2018). What is globalization? John Wiley & Sons.
Bertschek, I., & Niebel, T. (2016). Mobile and more productive? Firm-level evidence on the productivity effects of mobile internet use. Telecommunications Policy, 40(9), 888-898. https://doi.org/10.1016/j.telpol.2016.05.007
https://doi.org/10.1016/j.telpol.2016.05.007
Bloom, Nicholas, Sadun, R., & Reenen, J.V. (2012). Americans Do IT Better: US Multinationals and the Productivity Miracle. American Economic Review, 102(1), 167-201. http://www.aeaweb.org/articles.php?doi=10.1257/aer.102.1.167
https://doi.org/10.1257/aer.102.1.167
Brynjolfsson, E. & Hitt, L.M. (2003). Computing Productivity: Firm-Level Evidence, The Review of Economics and Statistics. 85(4), 793-808
https://doi.org/10.1162/003465303772815736
Blundell, R., & Bond, S. (1998). Initial Conditions and Moment Restrictions in A Dynamic Panel Data Model. Journal of Econometrics, 87(1), 115-143.
https://doi.org/10.1016/S0304-4076(98)00009-8
Cardona, M., Kretschmer, T., & Strobel, T. (2013). ICT and productivity: Conclusions from the empirical literature. Information Economics and Policy, 25(3), 109-125. https://doi.org/10.1016/j.infoecopol.2012.12.002
https://doi.org/10.1016/j.infoecopol.2012.12.002
Ceccobelli, M., Gitto, S., & Mancuso, P. (2016). Munich Personal RePEc Archive ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries. Elsevier, 68642. https://www.sciencedirect.com/science/article/pii/S0308596111002436
Chansarn, S. (2010). Labor productivity growth, education, health and technological progress: A cross-country analysis. Economic Analysis and Policy, 40(2), 249-261. https://doi.org/10.1016/S0313-5926(10)50027-4
https://doi.org/10.1016/S0313-5926(10)50027-4
Cheng, C.Y., Chien, M.S.& Lee, C.C. (2021). ICT Diffusion, Financial Development, And Economic Growth: An International Cross-Country Analysis. Economic Modelling, 94, 662-671,
https://doi.org/10.1016/j.econmod.2020.02.008
Dewan, S., & Kraemer, K. (2000). Information technology and productivity: preliminary evidence from country-level data. Management Science, 46(4), 548-562. doi:10.1287/mnsc.46.4.548.12057
https://doi.org/10.1287/mnsc.46.4.548.12057
Dua, P., & Garg, N.K. (2019). Determinants of labour productivity: Comparison between developing and developed countries of Asia-Pacific. Pacific Economic Review, 24(5), 686-704. https://doi.org/10.1111/1468-0106.12294
https://doi.org/10.1111/1468-0106.12294
Fukao, K., Miyagawa, T., Pyo, H.K. & Rhee, K.H. (2009). Estimates of multifactor productivity. ICT Contributions and Resource Reallocation Effects in Japan and Korea. Research Institutes of Economy, Trade and Industry (RIETI). RIETI Discussion Paper Series 09-E-021. Retrieved from https://www.rieti.go.jp/en/publications/summary/ 09050009.html.
Fukao, K. (2013). Explaining Japan's unproductive two decades. Asian Economic Policy Review, 8(2), 193-213. https://doi.org/10.1111/aepr.12020
https://doi.org/10.1111/aepr.12020
Frankel, M. & Kendric, W.J. (2008). Labour Productivity. Article from Britannica Concise Encyclopaedia. Retrieved from http://www.britannica.com/EBchecked/topic/478036/productivity.
Halliru, A., Loganathan, N., Golam, H., Asan, A., Mardani, A. & Kamyab, H. (2020). Re-Examining The Environmental Kuznets Curve Hypothesis In the Economic Community of West African States: A Panel Quantile Regression Approach. Journal of Cleaner Production. 276, 124247.
https://doi.org/10.1016/j.jclepro.2020.124247
Hawash, R., & Lang, G. (2020). Does the digital gap matter? Estimating the impact of ICT on productivity in developing countries. Eurasian Economic Review, 10(2), 189-209. https://doi.org/10.1007/s40822-019-00133-1
https://doi.org/10.1007/s40822-019-00133-1
Herman, E. (2020). The Influence of ICT sector on the Romanian Labour Market in the European Context. Procedia Manufacturing, 46, 344-351. https://doi.org/10.1016/j.promfg.2020.03.050
https://doi.org/10.1016/j.promfg.2020.03.050
Jung, H. J., Na, K. Y., & Yoon, C. H. (2013). The role of ICT in Korea's economic growth: Productivity changes across industries since the 1990s. Telecommunications Policy, 37(4-5), 292-310. https://doi.org/10.1016/j.telpol.2012.06.006
https://doi.org/10.1016/j.telpol.2012.06.006
Kijek, T., & Kijek, A. (2019). Is innovation the key to solving the productivity paradox? Journal of Innovation and Knowledge, 4(4), 219-225. https://doi.org/10.1016/j.jik.2017.12.010
https://doi.org/10.1016/j.jik.2017.12.010
Kim, J., & Nakano, S. (2019.). Institute of developing economies ide discussion paper No. 747 The Role of ICT Productivity in Korea - Japan Multifactor CES Productions and Trades.
Kim, J., Park, J. C., & Komarek, T. (2021). The impact of Mobile ICT on national productivity in developed and developing countries. Information and Management, 58(3). https://doi.org/10.1016/j.im.2021.103442
https://doi.org/10.1016/j.im.2021.103442
Ceccobelli, M., Gitto, S., & Mancuso, P. (2016). Munich Personal RePEc Archive ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries. Elsevier, 68642. https://www.sciencedirect.com/science/article/pii/S0308596111002436
Chansarn, S. (2010). Labor productivity growth, education, health and technological progress: A cross-country analysis. Economic Analysis and Policy, 40(2), 249-261. https://doi.org/10.1016/S0313-5926(10)50027-4
https://doi.org/10.1016/S0313-5926(10)50027-4
Cheng, C.Y., Chien, M.S.& Lee, C.C. (2021). ICT Diffusion, Financial Development, And Economic Growth: An International Cross-Country Analysis. Economic Modelling, 94, 662-671,
https://doi.org/10.1016/j.econmod.2020.02.008
Dewan, S., & Kraemer, K. (2000). Information technology and productivity: preliminary evidence from country-level data. Management Science, 46(4), 548-562. doi:10.1287/mnsc.46.4.548.12057
https://doi.org/10.1287/mnsc.46.4.548.12057
Dua, P., & Garg, N.K. (2019). Determinants of labour productivity: Comparison between developing and developed countries of Asia-Pacific. Pacific Economic Review, 24(5), 686-704. https://doi.org/10.1111/1468-0106.12294
https://doi.org/10.1111/1468-0106.12294
Fukao, K., Miyagawa, T., Pyo, H.K. & Rhee, K.H. (2009). Estimates of multifactor productivity. ICT Contributions and Resource Reallocation Effects in Japan and Korea. Research Institutes of Economy, Trade and Industry (RIETI). RIETI Discussion Paper Series 09-E-021. Retrieved from https://www.rieti.go.jp/en/publications/summary/ 09050009.html.
Fukao, K. (2013). Explaining Japan's unproductive two decades. Asian Economic Policy Review, 8(2), 193-213. https://doi.org/10.1111/aepr.12020
https://doi.org/10.1111/aepr.12020
Frankel, M. & Kendric, W.J. (2008). Labour Productivity. Article from Britannica Concise Encyclopaedia. Retrieved from http://www.britannica.com/EBchecked/topic/478036/productivity.
Halliru, A., Loganathan, N., Golam, H., Asan, A., Mardani, A. & Kamyab, H. (2020). Re-Examining The Environmental Kuznets Curve Hypothesis In the Economic Community of West African States: A Panel Quantile Regression Approach. Journal of Cleaner Production. 276, 124247.
https://doi.org/10.1016/j.jclepro.2020.124247
Hawash, R., & Lang, G. (2020). Does the digital gap matter? Estimating the impact of ICT on productivity in developing countries. Eurasian Economic Review, 10(2), 189-209. https://doi.org/10.1007/s40822-019-00133-1
https://doi.org/10.1007/s40822-019-00133-1
Herman, E. (2020). The Influence of ICT sector on the Romanian Labour Market in the European Context. Procedia Manufacturing, 46, 344-351. https://doi.org/10.1016/j.promfg.2020.03.050
https://doi.org/10.1016/j.promfg.2020.03.050
Jung, H. J., Na, K. Y., & Yoon, C. H. (2013). The role of ICT in Korea's economic growth: Productivity changes across industries since the 1990s. Telecommunications Policy, 37(4-5), 292-310. https://doi.org/10.1016/j.telpol.2012.06.006
https://doi.org/10.1016/j.telpol.2012.06.006
Kijek, T., & Kijek, A. (2019). Is innovation the key to solving the productivity paradox? Journal of Innovation and Knowledge, 4(4), 219-225. https://doi.org/10.1016/j.jik.2017.12.010
https://doi.org/10.1016/j.jik.2017.12.010
Kim, J., & Nakano, S. (2019.). Institute of developing economies ide discussion paper No. 747 The Role of ICT Productivity in Korea - Japan Multifactor CES Productions and Trades.
Kim, J., Park, J. C., & Komarek, T. (2021). The impact of Mobile ICT on national productivity in developed and developing countries. Information and Management, 58(3). https://doi.org/10.1016/j.im.2021.103442
https://doi.org/10.1016/j.im.2021.103442
Kim, K., Bounfour, A., Nonnis, A., & Özaygen, A. (2021). Measuring ICT externalities and their contribution to productivity: A bilateral trade based approach. Telecommunications Policy, 45(2). https://doi.org/10.1016/j.telpol.2020.102085
https://doi.org/10.1016/j.telpol.2020.102085
Koenker, R., & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. http://doi:10.2307/1913643
https://doi.org/10.2307/1913643
Lee, J. W., Song, E., & Kwak, D. W. (2020). Aging labor, ICT capital, and productivity in Japan and Korea. Journal of the Japanese and International Economies, 58. https://doi.org/10.1016/j.jjie.2020.101095
https://doi.org/10.1016/j.jjie.2020.101095
Levi-Bliech, M., Naveh, G., Pliskin, N. & Fink., L. (2018). Mobile technology and business process performance: the mediating role of collaborative supply-chain capabilities. Information Systems Management, 35(4) (308-329). DOI:10.1080/10580530.2018.1503803
https://doi.org/10.1080/10580530.2018.1503803
Li, D., Chen, Y., & Miao, J. (2021). Does ICT create a new driving force for manufacturing? -Evidence from Chinese manufacturing firms. Telecommunications Policy, 46(1), 102229. https://doi.org/10.1016/j.telpol.2021.102229
https://doi.org/10.1016/j.telpol.2021.102229
Mačiulytė-Šniukienė, A., & Gaile-Sarkane, E. (2014). Impact of information and telecommunication technologies development on labour productivity. Procedia - Social and Behavioral Sciences, 110, 1271-1282. https://doi.org/10.1016/j.sbspro.2013.12.974
https://doi.org/10.1016/j.sbspro.2013.12.974
Meijers, H. (2007). ICT Externalities: Evidence from cross country data. MERIT Working Papers, 2007-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
McMillan, Margaret & Rodrik, Dani & Verduzco-Gallo, Inigo. (2014). Globalization, Structural Change, and Productivity Growth, With an Update on Africa. World Development, 63, 11-32. https://doi.org/10.1016/j.worlddev.2013.10.012
https://doi.org/10.1016/j.worlddev.2013.10.012
Miller & Atkinson. (2014). Raising European Productivity Growth Through ICT (June 2, 2014). ITIF, June 2014, Available at SSRN: https://ssrn.com/abstract=3079844 or http://dx.doi.org/10.2139/ssrn.3079844
https://doi.org/10.2139/ssrn.3079844
Nchofoung, T. N., & Asongu, S. A. (2022). ICT for sustainable development: Global comparative evidence of globalisation thresholds. Telecommunications Policy, 46(5), 102296. http://dx.doi.org/10.2139/ssrn.4000834
https://doi.org/10.2139/ssrn.4000834
Niebel, T. (2018). ICT and economic growth - Comparing developing, emerging and developed countries. World Development, 104, 197-211. https://doi.org/10.1016/j.worlddev.2017.11.024
https://doi.org/10.1016/j.worlddev.2017.11.024
OECD, ICTs and jobs: complements or substitutes? The effects of ICT investment on labour demand by skills and by industry in selected OECD countries, OECD Publishing, Paris (2016).
Relich, M. (2017). The impact of ICT on labor productivity in the EU. Information Technology for Development, 23(4), 706-722. https://doi.org/10.1080/02681102.2017.1336071
https://doi.org/10.1080/02681102.2017.1336071
Robert J. Barro. (1991). Economic Growth in a Cross Section of Countries. The Quarterly Journal of Economics, 106(2), 407-443, https://doi.org/10.2307/2937943.
https://doi.org/10.2307/2937943
Venturini, F. (2015). The modern drivers of productivity. Research Policy, 44(2), 357-369. https://doi.org/10.1016/j.respol.2014.10.011
https://doi.org/10.1016/j.respol.2014.10.011
Wamboye, E., Adekola, A., & Sergi, B. (2016). ICTs and labour productivity growth in sub-Saharan Africa. International Labour Review, 155(2) 231-252. https://doi.org/10.1111/j.1564913X.2014.00021.x
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