Abstract
This study examines the effects of electricity consumption, financial development, economic growth, trade and ICT on CO2 emissions in the fast-emerging countries, excluding Russia due to the unavailability of data. Cross-sectional dependency was identified using the Pesaran (2004) and Breusch and Pagan CD tests from Breusch and Pagan (1980) using annual data from 1993 to 2014 based on data availability. The second-generation panel unit root test was applied to investigate the integration order of the series. The long-run relationship among the variables was confirmed using second-generation panel cointegration techniques, which take cross-sectional dependency into account. Additionally, this study utilized the FMOLS, DOLS and robust least square estimators to determine the long-run coefficients. The results suggested that electricity usage and financial development have a positive and significant impact, while economic growth and trade have a negative and significant impact on CO2 emissions. Additionally, an inverted U-shaped relationship between ICT and CO2 emission was confirmed. This implies that pollution declines after attaining a threshold point as the ICT usage increases. Furthermore, the Dumitrescu and Hurlin (2012) heterogeneous panel causality test suggested that there is a unidirectional causal relationship between electricity consumption and CO2 emissions, CO2 emissions and ICT, gross domestic product and CO2 emissions. Another unidirectional causality exists between financial development and CO2 emissions. The study suggests that renewable energy sources can be adopted to decrease carbon emissions and to promote clean energy. Financial development needs to be further strengthened to promote the use of eco-friendly ICT products.
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Notes
Our study sample incudes Brazil, India, China, and South Africa. However, Russia has not been included in the list for our study, because of data unavailability for the study period. Therefore, the fast-emerging countries in this study include Brazil, India, China, and South Africa.
Literally, domestic credit is the credit advanced to various sectors by banks, but it does not include the credit to the central government. Domestic credit to the private sector has been used in this study for several reasons. The banking sector performs different functions such as governing the money supply (Monetary policy), managing the deposits of the general public and dealing with other banking institutions. For these reasons, this is a broad parameter in terms of measuring the financial development of an economy (Shahbaz and Lean, 2012a, b. Several other studies, for instance Mac Kinnon (1973), King and Levine (1993), have used liquid liabilities as a share of GDP, however this cannot be used as a justified proxy to measure financial development since it only measures the volume of the financial sector. A high value of liquid liability does not imply the mobilization of savings. This parameter may misrepresent the nations showing high indicators even for underdeveloped financial systems. Among the other proxies included are the ratio of commercial bank assets to the sum of commercial bank and central bank assets. Based on the above discussion, this study applies domestic credit to the private sector as a share of GDP, which is the most common proxy (Shahbaz and Lean, 2012a, b) and was also used in the study of Pradhan et al. (2018) in cross-country panel data. Yucel (2009) can be viewed for further details in this regard.
The Internet users measuring the role of ICT was available for the selected study sample. Following the study of Pradhan et al. (2018), this study uses ICT as a robust parameter since it includes internet use in terms of individuals using the internet via mobile phones, computers, personal digital assistants, gaming consoles and digital TV (World Bank, 2016).
The explanation of the causal results along with the policy implications have been discussed in detail. Please see the conclusion and policy implication section of this study. For more simplicity of the results, the pairwise Dumitrescu and Hurlin (2012) causal results have been shown in figure 1 as well.
References
Anderianaivo M, Kpodar K (2011) ICT, financial inclusion, and growth evidence from African countries (IMF Working Papers) 11:1–45
Asongu SA, Nwachukwu JC (2017) The synergy of financial sector development and information sharing in financial access: propositions and empirical evidence. Res Int Bus Financ 40:242–258
Asongu SA (2018) ICT, openness and CO 2 emissions in Africa. Environ Sci Pollut Res 25:9351–9359
Bhattacharya M, Paramati SR, Ozturk I, Bhattacharya S (2016) The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Appl Energy 162:733–741
Binuyo AO, Aregbeshola RA (2015) ICT adoption and economic growth nexus: evidence from leading African economies. J Econ Behav Stud 7:43–54
Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev Econ Stud 47:239–253
Chen Y, Zhu J (2004) Measuring information technology’s indirect impact. Inf Technol Manag 5:9–22
Choi C (2010) The effect of the Internet on service trade. Econ Lett 109:102–104
Destek MA, Ulucak R, Dogan E (2018) Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint. Environ Sci Pollut Res 25:29387–29396
Dogan E, Taspinar N, Gokmenoglu K (2019) Determinants of ecological footprint in MINT countries. Energy Environ 0958305X19834279
Dogan E, Turkekul B (2016) CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ Sci Pollut Res 23:1203–1213
Dogan E, Seker F, Bulbul S (2017) Investigating the impacts of energy consumption, real GDP, tourism and trade on CO2 emissions by accounting for cross-sectional dependence: a panel study of OECD countries. Curr Issue Tour 20:1701–1719
Dogan E, Ozturk I (2017) The influence of renewable and non-renewable energy consumption and real income on CO2 emissions in the USA: evidence from structural break tests. Environ Sci Pollut Res 24:10846–10854
Dogan E, Seker F (2016a) Determinants of CO2 emissions in the European Union: the role of renewable and non-renewable energy. Renew Energy 94:429–439
Dogan E, Seker F (2016b) The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew Sust Energ Rev 60:1074–1085
Dumitrescu EI, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29:1450–1460
Ertugrul HM, Cetin M, Seker F, Dogan E (2016) The impact of trade openness on global carbon dioxide emissions: evidence from the top ten emitters among developing countries. Ecol Indic 67:543–555
Faisal F, Tursoy T, Resatoglu NG (2017) Is there any causality between financial development, energy consumption and economic growth in Pakistan? Evidence from ARDL bounds testing approach and vector error correction model. Int J Ecol Econ Stat 38:33–48
Faisal F, Tursoy T, Berk N (2018) Linear and non-linear impact of Internet usage and financial deepening on electricity consumption for Turkey: empirical evidence from asymmetric causality. Environ Sci Pollut Res 25:11536–11555
Gregory AW, Hansen BE (1996) Practitioners corner: tests for cointegration in models with regime and trend shifts. Oxf Bull Econ Stat 58:555–560
Hermes N, Lensink R (2003) Foreign direct investment, financial development and economic growth. J Dev Stud 40:142–163
Irawan T (2014) ICT and economic development: comparing ASEAN member states. IEEP 11:97–114
Ishida H (2014) The effect of ICT development on economic growth and energy consumption in Japan. Telematics Inform 32:79–88
Khan N, Baloch MA, Saud S, Fatima T (2018) The effect of ICT on CO 2 emissions in emerging economies: does the level of income matter? Environ Sci Pollut Res 25:22850–22860
Khraief N, Shahbaz M, Mallick H, Loganathan N (2018) Estimation of electricity demand function for Algeria: revisit of time series analysis. Renew Sust Energ Rev 82:4221–4234
King RG, Levine R (1993) Finance and growth: Schumpeter might be right. Q J Econ 108:717–737
Latif Z, Latif S, Ximei L, Pathan ZH, Salam S, Jianqiu Z (2018) The dynamics of ICT, foreign direct investment, globalization and economic growth: panel estimation robust to heterogeneity and cross-sectional dependence. Telematics Inform 35:318–328
Lechman E, Marszk A (2015) ICT technologies and financial innovations: the case of exchange traded funds in Brazil, Japan, Mexico, South Korea and the United States. Technol Forecast Soc Chang 99:355–376
Mac Kinnon R (1973) Money and Capital in Economic Development, the Brookings Institution, Washington
Malmodin J, Moberg Å, Lundén D, Finnveden G, Lövehagen N (2010) Greenhouse gas emissions and operational electricity use in the ICT and entertainment & media sectors. J Ind Ecol 14:770–790
Mendonca MAA, Freitas F, Souza JM (2008) Information technology and productivity: evidence for Brazilian industry from firm-level data. Inf Technol Dev 14:136–153
Moyer JD, Hughes BB (2012) ICTs: do they contribute to increased carbon emissions? Technol Forecast Soc Chang 79:919–931
Mun HW, Lin TK, Man YK (2008) FDI and economic growth relationship: an empirical study on Malaysia. Int Bus Res 1:11–18
Persyn D, Westerlund J (2008) Error-correction–based cointegration tests for panel data. Stata J 8:232–241
Pesaran MH (2004) General diagnostic tests for cross section dependence in panels
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Econ 47:36–37. https://doi.org/10.1002/JAE951
Pradhan RP, Arvin MB, Norman NR (2015) The dynamics of information and communications technologies infrastructure, economic growth, and financial development: evidence from Asian countries. Technol Soc 42:135–149
Pradhan RP, Arvin MB, Hall JH (2016a) Economic growth, development of telecommunications infrastructure, and financial development in Asia, 1991–2012. QREF 59:25–38
Pradhan RP, Mallik G, Bagchi TP (2018) Information communication technology (ICT) infrastructure and economic growth: a causality evinced by cross-country panel data. IIMB Manag Rev 30:91–103
Pradhan RP, Arvin MB, Nair M, Bennett SE, Hall JH (2019) The information revolution, innovation diffusion and economic growth: an examination of causal links in European countries. Qual Quant 53:1529–1563
Pradhan RP, Arvin M, Nair M, Bennett S, Bahmani S (2016b) ICT-finance-growth nexus: empirical evidence from the Next-11 countries. Cuad Econ 40:115–134. https://doi.org/10.1016/j.cesjef.2016.02.003
Paramati SR, Ummalla M, Apergis N (2016) The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies. Energy Econ 56:29–41
Sadorsky P (2012) Information communication technology and electricity consumption in emerging economies. Energy Policy 48:130–136. https://doi.org/10.1016/j.enpol.2012.04.064
Salahuddin M, Alam K, Ozturk I, Sohag K (2018) The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait. Renew Sust Energ Rev 81:2002–2010
Salahuddin M, Alam K (2015) Internet usage, electricity consumption and economic growth in Australia: a time series evidence. Telematics Inform 32:862–878
Salahuddin M, Alam K (2016) Information and communication technology, electricity consumption and economic growth in OECD countries: a panel data analysis. Int J Electr Power Energy Syst 76:185–193
Salahuddin M, Gow J (2016) The effects of Internet usage, financial development and trade openness on economic growth in South Africa: a time series analysis. Telematics Inform 33:1141–1154. https://doi.org/10.1016/j.tele.2015.11.006
Salahuddin M, Alam K, Ozturk I (2016) The effects of Internet usage and economic growth on CO2 emissions in OECD countries: a panel investigation. Renew Sust Energ Rev 62:1226–1235
Shahbaz M, Lean HH (2012a) Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia. Energy Policy 40:473–479
Shahbaz M, Lean HH (2012b) The dynamics of electricity consumption and economic growth: a revisit study of their causality in Pakistan. Energy 39:146–153
Shahbaz M, Rehman I, Sbia R, Hamdi H (2016) The role of information communication technology and economic growth in recent electricity demand: fresh evidence from Combine cointegration approach in UAE. J Knowl Econ 7:797–818. https://doi.org/10.1007/s13132-015-0250-y
Shahiduzzaman M, Alam K (2014) The long-run impact of information and communication technology on economic output: the case of Australia. Telecommun Policy 38:623–633
Suri V, Chapman D (1998) Economic growth, trade and energy: implications for the environmental Kuznets curve. Ecol Econ 25:195–208
Vu KM (2011) ICT as a source of economic growth in the information age: Empirical evidence from the 1996–2005 period. Telecommun Policy 35:357–372
Westerlund J (2007) Testing for error correction in panel data. Oxf Bull Econ Stat 69:709–748
World Bank 2016. World Development Indicators
World Bank (2018) World Development Indicators. Retrieved from http://www.worldbank.org
Yucel F (2009) Causal relationships between financial development, trade openness and economic growth: the case of Turkey. J Soc sci 5:33–42
Zhang C, Liu C (2015) The impact of ICT industry on CO2 emissions: a regional analysis in China. Renew Sust Energ Rev 44:12–19
Zaidi SAH, Zafar MW, Shahbaz M, Hou F (2019) Dynamic linkages between globalization, financial development and carbon emissions: evidence from Asia Pacific Economic Cooperation countries. J Clean Prod 228:533–543
Zivot E, Andrews DWK (1992) Further evidence on the great crash, the oil price shock and the unit root hypothesis. J Bus Econ Stat 10:251–270
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Faisal, F., Azizullah, Tursoy, T. et al. Does ICT lessen CO2 emissions for fast-emerging economies? An application of the heterogeneous panel estimations. Environ Sci Pollut Res 27, 10778–10789 (2020). https://doi.org/10.1007/s11356-019-07582-w
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DOI: https://doi.org/10.1007/s11356-019-07582-w