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Information and communication technology (ICT) and environmental sustainability: a panel data analysis

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Abstract

This study investigates the impact of information and communication technology (ICT) on carbon dioxide emissions for a panel of 91 countries over the period 1990 to 2017. The study constructs an ICT index through principal component analysis and tests for the presence of cross-sectional dependence (CSD) in the data. The study employs pooled ordinary least squares, fixed-effects model, and system-generalized method of moments estimation techniques with panel-corrected standard errors (PCSE) to tackle the issues of CSD in the data. The findings of the study show that ICT reduces CO2 emissions for the full sample of countries. However, the comparative study of developed and developing countries depicts that ICT encourages environmental sustainability in developed countries whereas opposite results are found for developing countries. Moreover, presence of the environmental Kuznets curve is confirmed for the full sample as well as for developed and developing countries. It suggests that with higher levels of development of a country, it would be possible to contribute towards environmental sustainability along with ICT diffusion. Therefore, the outcome of this study may be helpful for policymaker and policies may be designed to encourage ICT investments in developing countries, as ICT will take care of environmental sustainability with higher levels of development.

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Notes

  1. Ecological footprint is a quantitative measure for environmental impacts and it shows how much of environment is demanded by the individuals. Moreover, it documents the extent to which human activities are within the regenerative capacity of the biosphere (Ulucak and Bilgili 2018).

  2. The employment of POLS to the data with CSD delivers inefficient coefficient estimates and corresponding standard error estimates are also biased.

  3. Our panel causality test results suggest that there is bidirectional causality between CO2 emissions and ICT.

References

  • Akande A, Cabral P, Casteleyn S (2019) Assessing the gap between technology and the environmental sustainability of European cities. Inf Syst Front 21(3):581–604

    Article  Google Scholar 

  • Almeida T, Cruz L, Barata E, Sánchez I (2017) Economic growth and environmental impacts: an analysis based on a composite index of environmental damage. Ecol Indic 76:119–130

    Article  Google Scholar 

  • Al-Mulali U, Sheau-Ting L, Ozturk I (2015) The global move toward internet shopping and its influence on pollution: an empirical analysis. Environ Sci Pollut Res 22:9717–9727

    Article  CAS  Google Scholar 

  • Antweiler W, Copeland BR, Taylor MS (2001) Is free trade good for the environment? Am Econ Rev 91(4):877–908

    Article  Google Scholar 

  • Beck N, Katz JN (1995) What to do (and not to do) with time-series cross-section data. American Political Science Review 89:634–647

    Article  Google Scholar 

  • Ben-Jebli M, Youssef S, Ozturk I (2016) Testing environmental Kuznets curve hypothesis: the role of renewable and non-renewable energy consumption and trade in OECD countries. Ecol Indic 60:824–831

    Article  Google Scholar 

  • Cruz-Jesus F, Oliveira T, Bacao F, Irani Z (2017) Assessing the pattern between economic and digital development of countries. Inform Syst Front 19(4):835–854

  • Dabbous A (2018) The impact of information and communication technology and financial development on energy consumption: a dynamic heterogeneous panel analysis for MENA countries. Int J Energy Econ Policy 8(4):70–76

  • Dinda S (2004) Environmental Kuznets curve hypothesis: a survey. Ecol Econ 49(4):431–455

    Article  Google Scholar 

  • Dogan E, Ulucak R, Kocak E, Isik C (2020) The use of ecological footprint in estimating the environmental Kuznets curve hypothesis for BRICST by considering cross-section dependence and heterogeneity. Sci Total Environ 723(25):138063

  • Driscoll J, Kraay AC (1998) Consistent covariance matrix estimation with spatially dependent data. Rev Econ Stat 80:549–560

    Article  Google Scholar 

  • Ejemeyovwi J, Adiat Q, Ekong E (2019) Energy usage, internet usage and human development in selected western African countries. Int J Energy Econ Policy 9(5):316–321

    Article  Google Scholar 

  • Erdmann L, Hilty LM (2010) Scenario analysis: exploring the macroeconomic impacts of information and communication technologies on greenhouse gas emissions. J Ind Ecol 14(5):826–843

    Article  Google Scholar 

  • Farhani S, Ozturk I (2015) Causal relationship between CO2 emissions, real GDP, energyconsumption, financial development, trade openness, and urbanization in Tunisia. Environ Sci Pollut Res 22:15663–15676

    Article  CAS  Google Scholar 

  • Fernández-Amador O, Francois J, Oberdabernig D, Tomberger P (2020) Economic growth, sectoral structures, and environmental methane footprints. Appl Econ 52(13):1460–1475

    Article  Google Scholar 

  • Galli A (2015) On the rationale and policy usefulness of ecological footprint accounting: the case of Morocco. Environ Sci Policy 48:210–224

    Article  Google Scholar 

  • Grossman GM, Krueger AB (1991) Environmental impacts of a North American free trade agreement (No. W3914). National Bureau of Economic Research

  • Guo J, Zhang Y, Zhang K (2018) The key sectors for energy conservation and carbon emissions reduction in China: evidence from the input-output method. J Clean Prod 179:180–190

    Article  Google Scholar 

  • Halicioglu F (2009) An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy 37(3):1156–1164

  • Haseeb A, Xia E, Saud S, Ahmad A, Khurshid H (2019) Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis. Environ Sci Pollut Res 26:8594–8608

    Article  Google Scholar 

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of The Econometric Society, 1251–1271

  • Higon DA, Gholami R, Shirazi F (2017) ICT and environmental sustainability: a global perspective. Telematics Inform 34(4):85–95

    Article  Google Scholar 

  • Hoechle D (2007) Robust standard errors for panel regressions with cross-sectional dependence. Stata J 7(3):281–312

    Article  Google Scholar 

  • Houghton JW (2009) ICT and the environment in developing countries: an overview of opportunities and developments. Commun Strateg 1(76):39–60

    Google Scholar 

  • Houghton JW (2010) ICT and the environment in developing countries: a review of opportunities and developments. In: Berleur J, Hercheui MD, Hilty LM (eds) What kind of information society? Governance, virtuality, surveillance, sustainability, resilience. HCC 2010, CIP 2010. IFIP Advances in Information and Communication Technology, vol 328. Springer, Berlin, Heidelbeg, pp 236–247

  • International Energy Agency (2009). International Energy Agency (IEA): Paris, France

  • Khan D (2019) Effects of information and communication technology real income, and CO2 emissions: the experience of countries along belt and road. Telematics Inform 45:101300

  • Leal P, Marques A, Fuinhas J (2019) Decoupling economic growth from GHG emissions: decomposition analysis by sectoral factors for Australia. Economic Analysis and Policy 62:12–26

    Article  Google Scholar 

  • Lee JW, Brahmasrene T (2014) ICT, CO2 emissions and economic growth: evidence from a panel of ASEAN. Glob Econ Rev 43(2):93–109

    Article  Google Scholar 

  • Lu WC (2018) The impacts of information and communication technology, energy consumption, financial development, and economic growth on carbon dioxide emissions in 12 Asian countries. Mitig Adapt Strateg Glob Chang 23(8):1351–1365

    Article  Google Scholar 

  • Majeed MT, Khan FN (2019) Do information and communication technologies (ICTs) contribute to health outcomes? An empirical analysis. Qual Quant 53(1):183–206

  • Moffatt I (2000) Ecological footprints and sustainable development. Ecol Econ 32:359–362

    Article  Google Scholar 

  • Ng C, Choong C, Lau L (2020) Environmental Kuznets curve hypothesis: asymmetry analysis and robust estimation under cross-section dependence. Environ Sci Pollut Res 27:18685–18698

    Article  Google Scholar 

  • Nguyen D, Sévi B, Sjö B, Salah-Uddin G (2017) The role of trade openness and investment in examining the energy-growth-pollution nexus: empirical evidence for China and India. Appl Econ 49(40):4083–4098

    Article  Google Scholar 

  • Nuroglu E, Kunst RM (2018) Kuznets and environmental Kuznets curves for developing countries. In: Yülek M (ed) Industrial policy and sustainable Growth. Sustainable Development, Springer, Singapore

    Google Scholar 

  • Ozcan B, Apergis N (2018) The impact of internet use on air pollution: evidence from emerging countries. Environ Sci Pollut Res 25(5):4174–4189

    Article  CAS  Google Scholar 

  • Panayotou T (1997) Demystifying the environmental Kuznets curve: turning a black box into a policy tool. Environ Dev Econ 2(4):465–484

    Article  Google Scholar 

  • Parks R (1967) Efficient estimation of a system of regression equations when disturbances are both serially and contemporaneously correlated. J Am Stat Assoc 62:500–509

    Article  Google Scholar 

  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics No. 0435, Faculty of Economics, University of Cambridge

  • Plepys A (2002) The grey side of ICT. Environ Impact Assess Rev 22(5):509–523

    Article  Google Scholar 

  • 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(1):91–103

    Article  Google Scholar 

  • Reed W, Ye H (2009) Which panel data estimator should I use? Appl Econ 43(8):985–1000

    Article  Google Scholar 

  • Sabri A, Sabri O, Al-Shargabi B (2012) A cultural e-government readiness model. Intell Inf Manag 4:212–216

  • Salahuddin M, Alam K, Ozturk I (2016a) The effects of internet usage and economic growth on CO2 emissions in OECD countries: a panel investigation. Renew Sust Energ Rev 62:1226–1235

    Article  Google Scholar 

  • Salahuddin M, Alam K, Ozturk I (2016b) Is rapid growth in internet usage environmentally sustainable for Australia? An empirical investigation. Environ Sci Pollut Res 23:4700–4713

    Article  CAS  Google Scholar 

  • Shahbaz M, Hye QMA, Tiwari AK, Leitão NC (2013) Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Renew Sust Energ Rev 25:109–121

    Article  Google Scholar 

  • Sohag K, Mamun M, Salah-Uddin G, Ahmed M (2017) Sectoral output, energy use, and CO2 emission in middle-income countries. Environ Sci Pollut Res 24:9754–9764

    Article  CAS  Google Scholar 

  • Tsaurai K, Chimbo B (2019) The impact of information and communication technology on carbon emissions in emerging markets. Int J Energy Econ Policy 9(4):320–326

    Article  Google Scholar 

  • Uddin M, Rahman A, Memon J (2011) Carbon sustainability framework to reduce CO2 emissions in data centers. International Journal of Green Economics 5(4):353–369

    Article  Google Scholar 

  • Ulucak R, Bilgili F (2018) A reinvestigation of EKC model by ecological footprint measurement for high, middle and low income countries. J Clean Prod 88:144–157

  • United Nations Climate Change Conference (2015). COP 21 or CMP 11, 30 November to 12 December: Paris, France

  • WDI (2018) World development indicators. World Bank, Washington, DC

  • Wyckoff AW, Roop JM (1994) The embodiment of carbon in imports of manufactured products: implications for international agreements on greenhouse gas emissions. Energy Policy 22(3):187–194

    Article  Google Scholar 

Download references

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Correspondence to Umaima Arif.

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Appendix

Appendix

Table 6 Summary statistics
Table 7 Correlation matrix
Table 8 Principal components eigenvectors
Table 9 Bartlett test of sphericity and KMO
Table 10 List of abbreviation
Table 11 List of developed and developing countries

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Khan, F.N., Sana, A. & Arif, U. Information and communication technology (ICT) and environmental sustainability: a panel data analysis. Environ Sci Pollut Res 27, 36718–36731 (2020). https://doi.org/10.1007/s11356-020-09704-1

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