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Effects of energy consumption and ecological footprint on CO2 emissions: an empirical evidence from Pakistan

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Abstract

This study aims twofold; first, to analyze the effects of traditional energy, renewable energy, ecological footprint, urbanization, transportation on carbon dioxide emission (CO2), and second to investigate the association between the emission of the CO2 and temperature over Pakistan. The present investigation utilized long-term series data from 1970 to 2018 and employed the autoregressive distributed lag model to examine the relationship between modeled variables. Moreover, this investigation employed fully modified ordinary least-squares and dynamic ordinary least-square model to confirm the robustness of the results. The study found an insignificant impact of traditional energy, renewable energy, and ecological footprint on CO2 in the short-run period. However, in the long run, traditional energy, the ecological footprint has significant and positive, while renewable energy has a negative and significant association with CO2. Moreover, the study found a significant impact of urbanization and transportation on CO2 emission into short and long-run periods. The results indicate that impact of CO2 emission, urbanization and transportation on average temperature in Pakistan is positive and significant in short-run as well as in long-run period. This research indicates that appropriate policies should be devised for the energy sector like Government should discourage traditional consumption of energy and encourage the consumption of renewable energy in the industrial sector.

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References

  • Abbas, S., Khan, K., & Khan, A. (2016). REED plus and their impact on green economy development: Implication for the sustainable forest development, Swat Valley, HKH region Khyber PakhtunKhwa Pakistan. Science International (Lahore), 28(5), 4657–4664.

    Google Scholar 

  • Abbas, S., Kousar, S., Yaseen, M., Mayo, Z. A., Zainab, M., Mahmood, M. J., & Raza, H. (2020). Impact assessment of socioeconomic factors on dimensions of environmental degradation in Pakistan. SN Applied Sciences, 2(3), 1–16.

    Article  Google Scholar 

  • Abbas, S., Shirazi, S. A., & Qureshi, S. (2018). SWOT analysis for socio-ecological landscape variation as a precursor to the management of the mountainous Kanshi watershed, Salt Range of Pakistan. International Journal of Sustainable Development & World Ecology, 25(4), 351–361.

    Article  Google Scholar 

  • Abolhosseini, S., Heshmati, A., & Altmann, J. (2014). The effect of renewable energy development on carbon emission reduction: An empirical analysis for the EU-15 countries. IZA Discussion Paper No. 7989.

  • Adewuyi, A. O., & Awodumi, O. B. (2017). Renewable and non-renewable energy-growth-emissions linkages: Review of emerging trends with policy implications. Renewable and sustainable energy reviews, 69, 275–291.

    Article  Google Scholar 

  • Ahmad, A., Zhao, Y., Shahbaz, M., Bano, S., Zhang, Z., Wang, S., & Liu, Y. (2016). Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy. Energy policy, 96, 131–143.

    Article  CAS  Google Scholar 

  • Ahmed, F., Kousar, S., Pervaiz, A., & Ramos-Requena, J. P. (2020). Financial development, institutional quality, and environmental degradation nexus: New evidence from asymmetric ARDL co-integration approach. Sustainability, 12(18), 7812.

    Article  Google Scholar 

  • Ahmed, K., Shahbaz, M., Qasim, A., & Long, W. (2015). The linkages between deforestation, energy and growth for environmental degradation in Pakistan. Ecological Indicators, 49, 95–103.

    Article  Google Scholar 

  • Akaike, H. (1969). Fitting autoregressive models for prediction. Annals of the institute of Statistical Mathematics, 21(1), 243–247.

    Article  Google Scholar 

  • Akaike, H. (1979). A Bayesian extension of the minimum AIC procedure of autoregressive model fitting. Biometrika, 66(2), 237–242.

    Article  Google Scholar 

  • Ali, S., Gucheng, L., Ying, L., Ishaq, M., & Shah, T. (2019). The Relationship between carbon dioxide emissions, economic growth and agricultural production in Pakistan: An autoregressive distributed lag analysis. Energies, 12(24), 4644.

    Article  Google Scholar 

  • Alkhathlan, K., & Javid, M. (2015). Carbon emissions and oil consumption in Saudi Arabia. Renewable and sustainable energy reviews, 48, 105–111.

    Article  CAS  Google Scholar 

  • Ang, J. B. (2008). Economic development, pollutant emissions and energy consumption in Malaysia. Journal of Policy Modeling, 30(2), 271–278.

    Article  Google Scholar 

  • Anser, M. K. (2019). Impact of energy consumption and human activities on carbon emissions in Pakistan: Application of STIRPAT model. Environmental Science and Pollution Research, 26(13), 13453–13463.

    Article  CAS  Google Scholar 

  • Apergis, N., & Payne, J. E. (2009). Energy consumption and economic growth: Evidence from the commonwealth of independent states. Energy Economics, 31(5), 641–647.

    Article  Google Scholar 

  • Apergis, N., & Payne, J. E. (2010). The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states. Energy policy, 38(1), 650–655.

    Article  Google Scholar 

  • Aslam, A. Q., Ahmad, S. R., Ahmad, I., Hussain, Y., & Hussain, M. S. (2017). Vulnerability and impact assessment of extreme climatic event: A case study of southern Punjab, Pakistan. Science of The Total Environment, 580, 468–481.

    Article  CAS  Google Scholar 

  • Asumadu-Sarkodie, S., & Owusu, P. A. (2016a). Energy use, carbon dioxide emissions, GDP, industrialization, financial development, and population, a causal nexus in Sri Lanka: With a subsequent prediction of energy use using neural network. Energy Sources, Part B: Economics, Planning, and Policy, 11(9), 889–899.

    Article  Google Scholar 

  • Asumadu-Sarkodie, S., & Owusu, P. A. (2016b). Forecasting Nigeria’s energy use by 2030, an econometric approach. Energy Sources, Part B: Economics, Planning, and Policy, 11(10), 990–997.

    Article  Google Scholar 

  • Asumadu-Sarkodie, S., & Owusu, P. A. (2016c). Multivariate co-integration analysis of the Kaya factors in Ghana. Environmental Science and Pollution Research, 23(10), 9934–9943.

    Article  CAS  Google Scholar 

  • Boko, M., Niang, I., Nyong, A., Vogel, A., Githeko, A., Medany, M., Yanda, P. Z. (2018). Africa climate change 2007: Impacts, adaptation and vulnerability: Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change: Cambridge University Press.

  • Boontome, P., Therdyothin, A., & Chontanawat, J. (2017). Investigating the causal relationship between non-renewable and renewable energy consumption, CO2 emissions and economic growth in Thailand. Energy Procedia, 138, 925–930.

    Article  Google Scholar 

  • Chen, S., Saud, S., Saleem, N., & Bari, M. W. (2019). Nexus between financial development, energy consumption, income level, and ecological footprint in CEE countries: Do human capital and biocapacity matter? Environmental Science and Pollution Research, 26(31), 31856–31872.

    Article  Google Scholar 

  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 49, 1057–1072.

    Article  Google Scholar 

  • Eckstein, D., Künzel, V., Schäfer, L., & Winges, M. (2019). Global climate risk index 2020. Bonn: Germanwatch.

    Google Scholar 

  • Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 55, 251–276.

    Article  Google Scholar 

  • FAO. (2013). The state of food insecurity in the world: The multiple dimensions of food security.

  • Fiala, N. (2008). Measuring sustainability: Why the ecological footprint is bad economics and bad environmental science. Ecological Economics, 67(4), 519–525.

    Article  Google Scholar 

  • Florides, G. A., & Christodoulides, P. (2009). Global warming and carbon dioxide through sciences. Environment international, 35(2), 390–401.

    Article  CAS  Google Scholar 

  • Gish, M. K., Pace, N. A., Rumbles, G., & Johnson, J. C. (2019). Emerging design principles for enhanced solar energy utilization with singlet fission. The Journal of Physical Chemistry C, 123(7), 3923–3934.

    Article  CAS  Google Scholar 

  • Hannan, E. J., & Quinn, B. G. (1979). The determination of the order of an autoregression. Journal of the Royal Statistical Society: Series B (Methodological), 41(2), 190–195.

    Google Scholar 

  • Hasnisah, A., Azlina, A., & Che, C. M. I. (2019). The Impact of renewable energy consumption on carbon dioxide emissions: Empirical Evidence from developing countries in Asia. International Journal of Energy Economics and Policy, 9(3), 135.

    Article  Google Scholar 

  • Hof, A. F., den Elzen, M. G., Admiraal, A., Roelfsema, M., Gernaat, D. E., & Van Vuuren, D. P. (2017). Global and regional abatement costs of nationally determined contributions (NDCs) and of enhanced action to levels well below 2 C and 1.5 C. Environmental Science & Policy, 71, 30–40.

    Article  Google Scholar 

  • Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169–210.

    Article  Google Scholar 

  • Kirby, M., Mainuddin, M., Khaliq, T., & Cheema, M. (2017). Agricultural production, water use and food availability in Pakistan: Historical trends, and projections to 2050. Agricultural Water Management, 179, 34–46.

    Article  Google Scholar 

  • Kweku, D. W., Bismark, O., Maxwell, A., Desmond, K. A., Danso, K. B., Oti-Mensah, E. A., & Adormaa, B. B. (2017). Greenhouse effect: greenhouse gases and their impact on global warming. Journal of Scientific Research and Reports, 15, 1–9.

    Google Scholar 

  • Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of econometrics, 54(1–3), 159–178.

    Article  Google Scholar 

  • Mbarek, M. B., Saidi, K., & Rahman, M. M. (2018). Renewable and non-renewable energy consumption, environmental degradation and economic growth in Tunisia. Quality & Quantity, 52(3), 1105–1119.

    Article  Google Scholar 

  • Mohiuddin, O., Asumadu-Sarkodie, S., & Obaidullah, M. (2016). The relationship between carbon dioxide emissions, energy consumption, and GDP: A recent evidence from Pakistan. Cogent Engineering, 3(1), 1210491.

    Article  Google Scholar 

  • Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519–1554.

    Article  Google Scholar 

  • Nkoro, E., & Uko, A. K. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5(4), 63–91.

    Google Scholar 

  • O’Ryan, R., Nasirov, S., & Álvarez-Espinosa, A. (2020). Renewable energy expansion in the Chilean power market: A dynamic general equilibrium modeling approach to determine CO2 emission baselines. Journal of Cleaner Production, 247, 119645.

    Article  Google Scholar 

  • Pesaran, M. H. (1997). The role of economic theory in modelling the long run. The Economic Journal, 107(440), 178–191.

    Article  Google Scholar 

  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289–326.

    Article  Google Scholar 

  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.

    Article  Google Scholar 

  • Rehman, A., & Deyuan, Z. (2018). Pakistan’s energy scenario: A forecast of commercial energy consumption and supply from different sources through 2030. Energy, sustainability and society, 8(1), 26.

    Article  Google Scholar 

  • Sadorsky, P. (2009). Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Economics, 31(3), 456–462.

    Article  Google Scholar 

  • Saleem, N., & Shujah-ur-Rahman, J. Z. (2019). The impact of human capital and biocapacity on environment: Environmental quality measure-through ecological footprint and greenhouse gases. Journal of Pollution Effects & Control, 7, 237.

    Google Scholar 

  • Samuel, O. O., Sylvia, T. S., & Ricart Casadevall, S. (2019). Establishing the nexus between climate change adaptation strategy and smallholder farmers’ food security status in South Africa: A bi-casual effect using instrumental variable approach. Cogent Social Sciences, 5(1), 1656402.

    Article  Google Scholar 

  • Schwarz, G. (1978). Estimating the dimension of a model. The annals of statistics, 6(2), 461–464.

    Article  Google Scholar 

  • Shah, S. A. A. (2020). Feasibility study of renewable energy sources for developing the hydrogen economy in Pakistan. International Journal of Hydrogen Energy, 45(32), 15841–15854.

    Article  CAS  Google Scholar 

  • Shahbaz, M., Khan, S., & Tahir, M. I. (2013). The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis. Energy Economics, 40, 8–21.

    Article  Google Scholar 

  • Sinaga, O., Saudi, M. H. M., Roespinoedji, D., & Jabarullah, N. H. (2019). Environmental impact of biomass energy consumption on sustainable development: Evidence from ARDL bound testing approach. Ekoloji, 28(107), 443–452.

    Google Scholar 

  • Sultana, H., Ali, N., Iqbal, M. M., & Khan, A. M. (2009). Vulnerability and adaptability of wheat production in different climatic zones of Pakistan under climate change scenarios. Climatic Change, 94(1–2), 123–142.

    Article  CAS  Google Scholar 

  • Szigeti, C., Toth, G., & Szabo, D. R. (2017). Decoupling–shifts in ecological footprint intensity of nations in the last decade. Ecological Indicators, 72, 111–117.

    Article  Google Scholar 

  • Tiba, S., & Omri, A. (2017). Literature survey on the relationships between energy, environment and economic growth. Renewable and sustainable energy reviews, 69, 1129–1146.

    Article  Google Scholar 

  • UNFCCC. (2007). Climate change: Impacts, vulnerabilities and adaptation in developing countries. Bonn, Germany: United Nations Framework Convention on Climate Change.

    Google Scholar 

  • Vačkář, D. (2012). Ecological footprint, environmental performance and biodiversity: A cross-national comparison. Ecological Indicators, 16, 40–46.

    Article  Google Scholar 

  • Wang, M., & Feng, C. (2017). Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors. Applied energy, 190, 772–787.

    Article  Google Scholar 

  • Wirth, D. A. (2015). An International and domestic law of climate change: A binding international agreement without the senate or congress. Harvard Environmental Law Review, 39, 515.

    Google Scholar 

  • Yang, L., Ma, X., & Zhao, Y. (2017). A condition-based maintenance model for a three-state system subject to degradation and environmental shocks. Computers & Industrial Engineering, 105, 210–222.

    Article  Google Scholar 

  • Yousuf, I., Ghumman, A. R., Hashmi, H. N., & Kamal, M. A. (2014). Carbon emissions from power sector in Pakistan and opportunities to mitigate those. Renewable and Sustainable Energy Reviews, 34, 71–77.

    Article  CAS  Google Scholar 

  • Zhou, D., Zhang, G., Prasad, M., & Wang, P. (2019). The effects of temperature on supercritical CO2 induced fracture: An experimental study. Fuel, 247, 126–134.

    Article  CAS  Google Scholar 

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Abbas, S., Kousar, S. & Pervaiz, A. Effects of energy consumption and ecological footprint on CO2 emissions: an empirical evidence from Pakistan. Environ Dev Sustain 23, 13364–13381 (2021). https://doi.org/10.1007/s10668-020-01216-9

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