Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries

Dinh, Cong Khai and Ngo, Quang Thanh and Nguyen, Trung Thanh (2021): Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries. Published in:

Abstract

Sustaining economic growth while reducing dependence on fossil fuels remains a challenge for our world to fight against climate change and therefore finding a way to promote economic growth and increase renewable energy use is needed. This paper uses a 22-year panel dataset (1994– 2015) of 9 countries in the Association of Southeast Asian Nations provided by the World Bank World Development Indicators to examine the impact of medium- and high-tech export on renewable energy use. We employ a fixed-effects regression model with the Driscoll–Kraay nonparametric covariance matrix estimator to account for sectoral and temporal dependence. We also control for inflation, employment, population growth, and gross domestic product per capita in our estimations. Our results demonstrate a U-shaped association between medium- and high-tech export and renewable energy consumption of these economies. The results propose that enhancing medium- and high-tech export could be a feasible solution for promoting renewable energy consumption.

• Item Type: MPRA Paper
• Language: English
• Keywords: renewable energy; medium- and high-tech export; economic growth; employment; inflation; ASEAN
• Subjects: E - Macroeconomics and Monetary Economics > E0 - General

References

Nguyen, T.T.; Tenhunen, J. Review of integrated ecological—Economic analyses for bioenergy plants under climate change at local scale. Int. J. Clim. Chang. Strat. Manag. 2013, 5, 324–343.

Beser, N.O.; Soyyigit, S. The effects of high technology export and per capita income on carbon emission: An investigation on G20 countries. Bus. Econ. Horiz. 2019, 15, 542–559.

Seyoum, B. The role of factor conditions in high-technology exports: An empirical examination. J. High. Technol. Manag. Res. 2004, 15, 145–162.

OECD (Organisation for Economic Co-operation and Development). Technology Intensity Definition. Classification of manufacturing industries into categories based on R&D intensities. In OECD Directories for Science, Technology and Industry Economic Analysis and Statistics Division; OECD: Paris, France, 2011; Volume 9.

Chen, S.; Du, X.; Huang, J.; Huang, C. The impact of foreign and indigenous innovations on the energy intensity of China’s industries. Sustainability 2019, 11, 1107.

MacKenzie, J.J. Technology growth curves: A new approach to reducing global CO2 emissions. Energy Policy 2003, 31, 1183–1187.

Bamati, N.; Raoofi, A. Development level and the impact of technological factor on renewable energy production. Renew. Energy 2020, 151, 946–955.

Sadorsky, P. Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Econ. 2009, 31, 456–462.

Sadorsky, P. Renewable energy consumption and income in emerging economies. Energy Policy 2009, 37, 4021–4028.

Payne, J.E. The causal dynamics between US renewable energy consumption, output, emissions, and oil prices. Energy Sources Part B 2012, 7, 323–330.

Salim, R.A.; Rafiq, S. Why do some emerging economies proactively accelerate the adoption of renewable energy? Energy Econ. 2012, 34, 1051–1057.

Lean, H.H.; Smyth, R. Will policies to promote renewable electricity generation be effective? Evidence from panel stationarity and unit root tests for 115 countries. Renew. Sustain. Energy Rev. 2013, 22, 371–379.

Smyth, R. Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production. Appl. Energy 2013, 104, 371–378.

Omri, A.; Nguyen, D.K. On the determinants of renewable energy consumption: International evidence. Energy 2014, 72, 554–560.

Omri, A.; Daly, S.; Nguyen, D.K. A robust analysis of the relationship between renewable energy consumption and its main drivers. Appl. Econ. 2015, 47, 2913–2923.

Alam, M.M.; Murad, M.W. The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries. Renew. Energy 2020, 145, 382–390.

Bakker, M.H.; Duncan, J.A. Future bottlenecks in international river basins: Where transboundary institutions, population growth and hydrological variability intersect. Water Int. 2017, 42, 400–424.

Hasanov, F.J.; Liddle, B.; Mikayilov, J. The impact of international trade on CO2 emissions in oil exporting countries: Territory vs. consumption emissions accounting. Energy Econ. 2018, 74, 343–350.

Mikayilov, J.I.; Galeotti, M.; Hasanov, F.J. The impact of economic growth on CO2 emissions in Azerbaijan. J. Clean. Prod. 2018, 197, 1558–1572.

Sadorsky, P. Trade and energy consumption in the Middle East. Energy Econ. 2011, 33, 739–749.

Shahbaz, M.; Nasreen, S.; Ling, C.H.; Sbia, R. Causality between trade openness and energy consumption: What causes what in high, middle and low income countries. Energy Policy 2014, 70, 126–143.

Sohag, K.; Begum, R.; Abdullah, S.M.S.; Jaafar, M. Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia. Energy 2015, 90, 1497–1507.

Corcelli, F.; Fiorentino, G.; Vehmas, J.; Ulgiati, S. Energy efficiency and environmental assessment of papermaking from chemical pulp—A Finland case study. J. Clean. Prod. 2018, 198, 96–111. East-West Center. ASEAN Matters for America; East-West Center: Washington, DC, USA, 2019.

Azam, M.; Khan, A.Q.; Zaman, K.; Ahmad, M. Factors determining energy consumption: Evidence from Indonesia, Malaysia and Thailand. Renew. Sustain. Energy Rev. 2015, 42, 1123–1131.

Mohsin, M.; Kamran, H.W.; Nawaz, M.A.; Hussain, M.S.; Dahri, A.S. Assessing the impact of transition from non-renewable to renewable energy consumption on economic growth-environmental nexus from developing Asian countries. J. Environ. Manag. 2021, 284, 1–8.

Androniceanu, A.-M.; Căplescu, R.; Tvaronavicˇiene,˙ M.; Dobrin, C. The interdependencies between economic growth, energy consumption and pollution in Europe. Energies 2021, 14, 2577.

Grabara, J.; Tleppayev, A.; Dabylova, M.; Mihardjo, L.W.; Dacko-Pikiewicz, Z. Empirical research on the relationship amongst renewable energy consumption, economic growth and foreign direct investment in Kazakhstan and Uzbekistan. Energies 2021, 14, 332.

Hsu, C.C.; Chien, F.; Ngo, Q.T.; Nguyen, T.D.; Vu, H.M.; Hugo, C. Nexus between energy security and economic development: Empirical evidence from BRICS economies. Singap. Econ. Rev. 2021, 165, 381–390.

Nguyen, T.T.; Nguyen, T.-T.; Hoang, V.-N.; Wilson, C.; Managi, S. Energy transition, poverty and inequality in Vietnam. Energy Policy 2019, 132, 536–548.

Bashir, M.A.; Sheng, B.; Dog˘an, B.; Sarwar, S.; Shahzad, U. Export product diversification and energy efficiency: Empirical evidence from OECD countries. Struct. Chang. Econ. Dyn. 2020, 55, 232–243.

Ngo, Q.-T.; Nguyen, C.T. Do export transitions differently affect firm productivity? Evidence across Vietnamese manufacturing sectors. Post Communist Econ. 2020, 32, 1011–1037.

Shahbaz, M.; Gozgor, G.; Hammoudeh, S. Human capital and export diversification as new determinants of energy demand in the United States. Energy Econ. 2019, 78, 335–349.

Gozgor, G.; Can, M. Effects of the product diversification of exports on income at different stages of economic development. Eurasian Bus. Rev. 2016, 6, 215–235.

Samargandi, N. Energy intensity and its determinants in OPEC countries. Energy 2019, 186, 115803.

Lv, Y.; Chen, W.; Cheng, J. Direct and indirect effects of urbanization on energy intensity in Chinese cities: A regional heterogeneity analysis. Sustainability 2019, 11, 3167.

Huo, T.; Ren, H.; Cai, W. Estimating urban residential building-related energy consumption and energy intensity in China based on improved building stock turnover model. Sci. Total Environ. 2019, 650, 427–437. [PubMed]

Sun, H.; Edziah, B.K.; Sun, C.; Kporsu, A.K. Institutional quality, green innovation and energy efficiency. Energy Policy 2019, 135, 111002.

Yan, H. Provincial energy intensity in China: The role of urbanization. Energy Policy 2015, 86, 635–650.

Adom, P.K. Asymmetric impacts of the determinants of energy intensity in Nigeria. Energy Econ. 2015, 49, 570–580.

Adom, P.K.; Minlah, M.K.; Adams, S. Impact of renewable energy (hydro) on electricity prices in Ghana: A tale of the short- and long-run. Energy Strat. Rev. 2018, 20, 163–178.

Elliott, R.; Sun, P.; Chen, S. Energy intensity and foreign direct investment: A Chinese city-level study. Energy Econ. 2013, 40, 484–494.

Yu, H. The influential factors of China’s regional energy intensity and its spatial linkages: 1988–2007. Energy Policy 2012, 45, 583–593.

Rafiq, S.; Salim, R.; Nielsen, I. Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies. Energy Econ. 2016, 56, 20–28.

Adom, P.K.; Kwakwa, P.A. Effects of changing trade structure and technical characteristics of the manufacturing sector on energy intensity in Ghana. Renew. Sustain. Energy Rev. 2014, 35, 475–483.

Adom, P.K. Determinants of energy intensity in South Africa: Testing for structural effects in parameters. Energy 2015, 89, 334–346.

Cole, M.A. Does trade liberalization increase national energy use? Econ. Lett. 2006, 92, 108–112.

Barnsley, A.B.; Brown, A. Enabling Renewable Energy and Energy Efficiency Technologies: Opportunities in Eastern Europe, Caucasus, Central Asia, Southern and Eastern Mediterranean; International Energy Agency (IEA): Paris, France, 2015.

Fisher-Vanden, K.; Jefferson, G.H.; Liu, H.; Tao, Q. What is driving China’s decline in energy intensity? Resour. Energy Econ. 2004, 26, 77–97.

Zhou, N.; Levine, M.D.; Price, L. Overview of current energy-efficiency policies in China. Energy Policy 2010, 38, 6439–6452.

Huang, J.; Hao, Y.; Lei, H. Indigenous versus foreign innovation and energy intensity in China. Renew. Sustain. Energy Rev. 2018, 81, 1721–1729.

Borghesi, S.; Crespi, F.; D’Amato, A.; Mazzanti, M.; Silvestri, F. Carbon abatement, sector heterogeneity and policy responses: Evidence on induced eco innovations in the EU. Environ. Sci. Policy 2015, 54, 377–388.

Mamun, A.; Sohag, K.; Shahbaz, M.; Hammoudeh, S. Financial markets, innovations and cleaner energy production in OECD countries. Energy Econ. 2018, 72, 236–254.

Rathore, N.S.; Panwar, N. Renewable Energy Sources for Sustainable Development; New India Publishing: New Delhi, India, 2007.

Strantzali, E.; Aravossis, K. Decision making in renewable energy investments: A review. Renew. Sustain. Energy Rev. 2016, 55, 885–898.

Liu, S.; Xia, X.; Tao, F.; Chen, X. Assessing urban carbon emission efficiency in China: Based on the global data envelopment analysis. Energy Procedia 2018, 152, 762–767.

Wang, Y.; Zhao, T.; Wang, J.; Guo, F.; Kan, X.; Yuan, R. Spatial analysis on carbon emission abatement capacity at provincial level in China from 1997 to 2014: An empirical study based on SDM model. Atmos. Pollut. Res. 2019, 10, 97–104.

Zeng, L.; Lu, H.; Liu, Y.; Zhou, Y.; Hu, H. Analysis of regional differences and influencing factors on China’s carbon emission efficiency in 2005–2015. Energies 2019, 12, 3081.

Mathiesen, B.V.; Lund, H.; Karlsson, K. 100% Renewable energy systems, climate mitigation and economic growth. Appl. Energy 2011, 88, 488–501.

Menyah, K.; Wolde-Rufael, Y. CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy 2010, 38, 2911–2915.

Apergis, N.; Payne, J.E. Renewable energy consumption and economic growth: Evidence from a panel of OECD countries. Energy Policy 2010, 38, 656–660.

Fang, Z.; Chang, Y. Energy, human capital and economic growth in Asia Pacific countries—Evidence from a panel cointegration and causality analysis. Energy Econ. 2016, 56, 177–184.

Oyedepo, S.O. Energy and sustainable development in Nigeria: The way forward. Energy Sustain. Soc. 2012, 2, 1–17.

Ahmad, S.; Tahar, R.M. Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia. Renew. Energy 2014, 63, 458–466.

Lund, H. Renewable energy strategies for sustainable development. Energy 2007, 32, 912–919.

Kahia, M.; Ben Aïssa, M.S.; Lanouar, C. Renewable and non-renewable energy use-economic growth nexus: The case of MENA Net Oil Importing Countries. Renew. Sustain. Energy Rev. 2017, 71, 127–140.

Le, H.P.; Sarkodie, S.A. Dynamic linkage between renewable and conventional energy use, environmental quality and economic growth: Evidence from emerging market and developing economies. Energy Rep. 2020, 6, 965–973.

Marques, A.C.; Fuinhas, J.A. Drivers promoting renewable energy: A dynamic panel approach. Renew. Sustain. Energy Rev. 2011, 15, 1601–1608.

Ahmed, S.; Alam, K.; Sohag, K.; Gow, J.; Rashid, A.; Akter, M. Renewable and non-renewable energy use and its relationship with economic growth in Myanmar. Environ. Sci. Pollut. Res. 2019, 26, 22812–22825. [PubMed]

Sbia, R.; Shahbaz, M.; Hamdi, H. A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE. Econ. Model. 2014, 36, 191–197.

Wan, J.; Baylis, K.; Mulder, P. Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries. Energy Econ. 2015, 48, 253–264.

Khan, M.T.I.; Yaseen, M.R.; Ali, Q. Dynamic relationship between financial development, energy consumption, trade and greenhouse gas: Comparison of upper middle income countries from Asia, Europe, Africa and America. J. Clean. Prod. 2017, 161, 567–580.

Tweneboah, G.; Alagidede, P. Dollarization, inflation targeting, and inflationary dynamics in Ghana. J. Afr. Bus. 2019, 20, 358–375.

Kosai, S.; Yuasa, M.; Yamasue, E. Chronological transition of relationship between intracity lifecycle transport energy efficiency and population density. Energies 2020, 13, 2094.

Wang, W.; Yang, H.; Zhang, Y.; Xu, J. IoT-enabled real-time energy efficiency optimisation method for energy-intensive manufacturing enterprises. Int. J. Comput. Integr. Manuf. 2017, 31, 362–379.

Rahman, M.; Vu, X.-B. Are energy consumption, population density and exports causing environmental damage in China? autoregressive distributed lag and vector error correction model approaches. Sustainability 2021, 13, 3749.

Marques, A.C.; Fuinhas, J.A.; Manso, J.P. Motivations driving renewable energy in European countries: A panel data approach. Energy Policy 2010, 38, 6877–6885.

Baltagi, B.H. Econometric Analysis of Panel Data; Springer Science and Business Media LLC: Berlin, Germany, 2021.

Arellano, M. On the testing of correlated effects with panel data. J. Econ. 1993, 59, 87–97.

Wooldridge, J.M. Econometric Analysis of Cross Section and Panel Data; MIT Press: Cambridge, UK, 2010.

Seddigi, H.; Lawler, K.A. Econometrics: A Practical Approach; Routledge: New York, NY, USA, 2000.

Waheed, R.; Sarwar, S.; Mighri, Z. Role of high technology exports for energy efficiency: Empirical evidence in the context of Gulf Cooperation Council countries. Energy Environ. 2020, 0958305x20954196.

Kennedy, P. A Guide to Econometrics; John Wiley and Sons: Hoboken, NJ, USA, 2008.

Goldberger, A.S. A Course in Econometrics; Harvard University Press: Cambridge, MA, USA, 1991.

Breusch, T.S.; Pagan, A.R. The lagrange multiplier test and its applications to model specification in econometrics. Rev. Econ. Stud. 1980, 47, 239–253.

Greene, W.H. Econometric Analysis, 4th ed.; Prentice Hall: Upper Saddle River, NJ, USA, 2000; pp. 201–215.

Swamy, P.A.V.B. Efficient inference in a random coefficient regression model. Econometrica 1970, 38, 311–323.

Grossman, G.M.; Krueger, A.B. Economic growth and the environment. Q. J. Econ. 1995, 110, 353–377.

Pesaran, M.H. A simple panel unit root test in the presence of cross-section dependence. J. Appl. Econ. 2007, 22, 265–312.

Hoechle, D. Robust standard errors for panel regressions with cross-sectional dependence. Stata J. Promot. Commun. Stat. Stata 2007, 7, 281–312.

Aïssa, M.S.B.; Jebli, M.B.; Youssef, S.B. Output, renewable energy consumption and trade in Africa. Energy Policy 2014, 66, 11–18.

Yanikkaya, H. Trade openness and economic growth: A cross-country empirical investigation. J. Dev. Econ. 2003, 72, 57–89.

Al-Mulali, U.; Ozturk, I.; Lean, H.H. The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe. Nat. Hazards 2015, 79, 621–644.

Premik, F.; Stanisławska, E. The Impact of Inflation expectations on Polish consumers’ spending and saving. East. Eur. Econ. 2017, 55, 3–28.

Avina, J.M. City building energy efficiency programs: Hindering real energy efficiency? . . . One practitioner’s real world marketplace observations. Energy Eng. 2017, 114, 22–36.

Carmi, N.; Tal, A. The perceived relationship between population growth and current ecological problems using repertory grid technique. Hum. Ecol. Risk Assess. Int. J. 2018, 25, 1773–1788.

Füllemann, Y.; Moreau, V.; Vielle, M.; Vuille, F. Hire fast, fire slow: The employment benefits of energy transitions. Econ. Syst. Res. 2019, 32, 202–220.

Allan, G.; McGregor, P.; Swales, K. Greening regional development: Employment in low-carbon and renewable energy activities. Reg. Stud. 2017, 51, 1270–1280.

Halkos, G.; Gkampoura, E.-C. Coping with energy poverty: Measurements, drivers, impacts, and solutions. Energies 2021, 14, 2807.

Baum, C.F. Residual diagnostics for cross-section time series regression models. Stata J. Promot. Commun. Stat. Stata 2001, 1, 101–104.

Poi, B.P. From the help desk: Swamy’s random-coefficients model. Stata J. 2003, 3, 302–308.

Burdisso, T.; Sangiácomo, M. Panel time series: Review of the methodological evolution. Stata J. Promot. Commun. Stat. Stata 2016, 16, 424–442.