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Environmental Pollution and Disaggregated Economic Policy Uncertainty: Evidence from Japan | ||
Pollution | ||
دوره 7، شماره 4، دی 2021، صفحه 749-767 اصل مقاله (342.14 K) | ||
نوع مقاله: Original Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/poll.2021.321490.1057 | ||
نویسندگان | ||
Jamiu Adetola Odugbesan* 1؛ Sarah Aghazadeh2 | ||
1Faculty of Economics, Administrative and Social Sciences, Cyprus West University, North Cyprus, Mersin 10, Turkey Faculty of Political and Social Sciences, Onbes Kasim Kibris University, North Cyprus, Mersin 10, Turkey | ||
2Faculty of Economics and Administrative Sciences, Final International University, North Cyprus, Mersin 10, Turkey | ||
چکیده | ||
Though, the attention of researchers on exploring the impact of economic policy uncertainty on carbon emissions is on increase, however, the impact of different types of economic policy uncertainty remains unexplored. Thus, this study investigates the impact of different types of economic policy uncertainty on carbon emissions in Japan. A monthly data from 1987M1 to 2019M12 was used, while the FMOLS, DOLS, CCR and ARDL estimators were employed for examining the cointegration among the variables, as well as the long- and short-run relationship between types of economic policy uncertainty and carbon emissions. The study findings revealed a long-run cointegration among energy consumption, per capita income, fiscal, exchange rate, monetary, and trade policy uncertainties and carbon emissions. Moreover, this study found energy consumption, exchange rate, monetary, and trade policy uncertainties to contribute significantly to the increase of carbon emissions in Japan. Finally, this study suggests that environmental policy makers in Japan should take into account the economic policy uncertainty so as to promote robust information for climate policy that will be targeted at ameliorating the carbon emissions in Japan. | ||
کلیدواژهها | ||
Environmental pollution؛ Economic policy uncertainty؛ Climate change؛ Environmental quality؛ Japan | ||
مراجع | ||
Adams, S., Adedoyin, F., Olaniran, E. and Bekun, F. V. (2020). Energy consumption, economic policy uncertainty and carbon emissions; causality evidence from resource rich economies. Econ. Analy. Pol. 68, 179-190.
Adebayo, T. S. and Odugbesan, J. A. (2020). Modeling CO2 emissions in South Africa: empirical evidence from ARDL based bounds and wavelet coherence techniques. Environ. Sci. Pollut. Res. 1-13.
Adebayo, T. S., Akinsola, G. D., Odugbesan, J. A. and Olanrewaju, V. O. (2021a). Determinants of Environmental Degradation in Thailand: Empirical Evidence from ARDL and Wavelet Coherence Approaches. Pollution, 7(1), 181-196.
Adebayo, T. S., Awosusi, A. A., Odugbesan, J. A., Akinsola, G. D., Wong, W. K. and Rjoub, H. (2021b). Sustainability of energy-induced growth nexus in Brazil: do carbon emissions and urbanization matter?. Sustainability, 13(8), 4371.
Adedoyin, F. F., Nathaniel, S. and Adeleye, N. (2020). An investigation into the anthropogenic nexus among consumption of energy, tourism, and economic growth: do economic policy uncertainties matter?. Environ. Sci. Pollut. Res. 1-13.
Ahir, H., Bloom, N. and Furceri, D. (2018). The world uncertainty index. SSRN Electron. J. http://dx.doi.org/10.2139/ssrn.3275033. http://www.policyuncertainty.com
Alola, A. A. and Kirikkaleli, D. (2021). Global evidence of time-frequency dependency of temperature and environmental quality from a wavelet coherence approach. Air Qlty, Atm. Hlth, 14(4), 581-589.
Alola, A. A. and Kirikkaleli, D. (2019). The nexus of environmental quality with renewable consumption, immigration, and healthcare in the US: wavelet and gradual-shift causality approaches. Environ. Sci. Pollut. Res. 26(34), 35208-35217.
Alola, A. A., Yalçiner, K., Alola, U. V. and Saint Akadiri, S. (2019). The role of renewable energy, immigration and real income in environmental sustainability target. Evidence from Europe largest states. Sci. Total. Environ. 674, 307-315.
Alola, A. A. (2019a). The trilemma of trade, monetary and immigration policies in the United States: accounting for environmental sustainability. Sci. Total. Environ. 658, 260-267.
Alola, A. A. (2019b). Carbon emissions and the trilemma of trade policy, migration policy and health care in the US. Carbon Management, 10(2), 209-218.
Aloui R, Gupta R, Miller S (2016) Uncertainty and crude oil returns. Eng. Econ. 55:92–100
Altig, D., Baker, S.R., Barrero, J.M., Bloom, N., Bunn, P., Chen, S., Mizen, P., et al. (2020). Economic Uncertainty before and During the COVID-19 Pandemic. (No. w27418), National Bureau of Economic Research.
Antonakakis N., Chatziantoniou I. and Filis G. (2014) Dynamic spillovers of oil price shocks and economic policy uncertainty. Eng. Econ. 44: 433–447
Apergis, N. and Ozturk, I. (2015). Testing environmental Kuznets curve hypothesis in Asian countries. Ecolog. Ind. 52, 16-22.
Appiah M. (2018) Investigating the multivariate Granger causality between energy consumption, economic growth and CO2 emissions in Ghana. Energy Policy, 112:198–208
Arbatli E., Davis S., Ito A. and Miake N. (2019) Policy Uncertainty in Japan. IMF
Arbatli, E. C., Davis, S. J., Ito, A. and Miake, N. (2017). Policy uncertainty in Japan (No. w23411). National Bureau of Economic Research.
Aslan A., Destek M. and Okumus İ. (2018) Bootstrap rolling window estimation approach to analysis of the Environment Kuznets Curve hypothesis: evidence from the USA. Environ. Sci. Pollut. Res. 25(3): 2402–2408
Bachmann, R., Elstner, S. and Sims, E. R. (2013). Uncertainty and economic activity: Evidence from business survey data. Ame. Econ. J.: Macroeconomics, 5(2), 217-49.
Baek, J. (2015). A panel cointegration analysis of CO2 emissions, nuclear energy and income in major nuclear generating countries. Appl. Eng. 145, 133-138.
Bakas, D. and Triantafyllou, A. (2020). Commodity price volatility and the economic uncertainty of pandemics. Econ. Lett. 193, 109283.
Baker, S. R., Bloom, N. and Davis, S. J. (2016). Measuring economic policy uncertainty. The Qrt. J. Econ. 131(4), 1593-1636.
Baker, S.R., Bloom, N., Davis, S.J. and Terry, S.J. (2020). Covid-Induced Economic Uncertainty (No. w26983), National Bureau of Economic Research.
Balcilar M., Bekiros S. and Gupta R. (2017) The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method. Empr. Econ. 53(3):879–889
Bekun, F. V., Agboola, M. O. and Joshua, U. (2020) Fresh insight into the EKC hypothesis in Nigeria: accounting for total natural resources rent. In econometrics of green energy handbook. Springer, Cham, p 221–243
Bernanke, B. S. (1983). Irreversibility, uncertainty, and cyclical investment. The Qtr. J. Econ. 98(1), 85-106.
Bloom N (2009) The impact of uncertainty shocks. Econometrica, 77(3): 623–685
Bloom, N. (2017). Observations on uncertainty. Australian Econ. Rev. 50(1), 79-84.
BP (2021). Statistical Review of World Energy. Available: https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html (Accessed: 01-04-2021)
Charles, A., Darné O. and Tripier, F. (2018) Uncertainty and the macroeconomy: evidence from an uncertainty composite indicator. Appl. Econ. 50(10):1093–1107
Chen, Z., Kahn, M. E., Liu, Y. and Wang, Z. (2018) The consequences of spatially differentiated water pollution regulation in China. J. Environ. Econ. Mgt, 88:468–485
Climate Transparency (2020). Brown to Green: The G20 Transition towards a Net-Zero Emission Economy. Available: https://www.climate-transparency.org/wp-content/uploads/2019/11/B2G_2019_Japan.pdf (Accessed: 02-04-2021)
Degiannakis, S., Filis, G. and Panagiotakopoulou, S. (2018). Oil price shocks and uncertainty: How stable is their relationship over time?. Economic Modelling, 72, 42-53.
Dogan, E. and Ozturk, İ. (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(11): 10,846–10,854
Dogan, E. and 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(2):1203–1213
EIA, U (2021) Energy information administration. International Energy Outlook. US Department of Energy. https://www.eia.gov/international/overview/country/IDN. (retrieved 04 April 2021
Feng, L., Li, Z. and Swenson, D. L. (2017) Trade policy uncertainty and exports: evidence from China's WTO accession. J. Intl. Econ. 106:20–36
Fodha, M and Zaghdoud, O. (2010) Economic growth and pollutant emissions in Tunisia: an empirical analysis of the environmental Kuznets curve. Energ. Pol. 38(2):1150–1156
Grossman, G. M. and Krueger, A. B. (1995). Economic growth and the environment. The Qrt. J. Econ. 110(2), 353-377.
Grossman, G. M. and Krueger, A. B. (1991). Environmental Impacts of a North American Free Trade Agreement; National Bureau of Economic Research (NBER)Working Paper; No. 3914; NBER: Cambridge, MA, USA.
Gulen, H. and Ion, M. (2016). Policy uncertainty and corporate investment. The Rev. Fin. Stud. 29(3), 523-564.
Hailemariam, A., Smyth, R. and Zhang, X. (2019) Oil prices and economic policy uncertainty: evidence from a nonparametric panel data model. Energ. Econ. 83:40–51
Halicioglu, F. (2009) An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energ. Pol. 37(3):1156–1164
Hamilton, J. D. (1983). Oil and the macroeconomy since World War II. J. Political Econ. 91(2), 228-248.
Handley, K. and Limao, N. (2015). Trade and investment under policy uncertainty: theory and firm evidence. A. Econ. J.: Econ. Pol. 7(4), 189-222.
Hassett, K. A. and Metcalf, G. E. (1999). Investment with uncertain tax policy: Does random tax policy discourage investment. The Economic Journal, 109(457), 372-393.
Hu, S. and Gong, D. (2019). Economic policy uncertainty, prudential regulation and bank lending. Fin. Res. Lett. 29, 373-378.
Jiang, Y., Meng, J. and Nie, H. (2018) Visiting the economic policy uncertainty shocks-economic growth relationship: Wavelet-based Granger-causality in quantiles approach. Romania J. Econ. Forecast, 21(2):80–94
Jiang, Y., Zhou, Z. and Liu, C. (2019). Does economic policy uncertainty matter for carbon emission? Evidence from US sector level data. Environ. Sci. Pollut. Res. 24380-24394.
Julio, B. and Yook, Y. (2016) Policy uncertainty, irreversibility, and crossborder flows of capital. J. Intl. Econ. 103:13–26
Koc, S. and Bulus, G. C. (2020) Testing validity of the EKC hypothesis in South Korea: role of renewable energy and trade openness. Environ. Sci. Pollut. Res. 27: 29043–29054
Kuznets, S. (1955). Economic growth and income inequality. The Ame. Econ. Rev. 45(1), 1-28.
Leal, P. H. and Marques, A. C. (2020). Rediscovering the EKC hypothesis for the 20 highest CO2 emitters among OECD countries by level of globalization. Intl. Econ. 164, 36-47.
Lee, J. and Strazicich, M. C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Rev. Econ. Stat. 85(4), 1082-1089.
Mardani, A., Streimikiene, D., Cavallaro, F., Loganathan, N. and Khoshnoudi, M. (2019). Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017. Sci. Total Environ. 649, 31-49.
Menyah K. and Wolde-Rufael, Y. (2010) Energy consumption, pollutant emissions and economic growth in South Africa. Eng. Econ. 32(6): 1374–1382
Narayan, P. K., Saboori, B. and Soleymani, A. (2016). Economic growth and carbon emissions. Econ. Modelling, 53, 388-397.
Odugbesan, J. A. and Rjoub, H. (2019). The Causal Relationship Between Economic Growth and Remittance in Mint Countries: An ARDL Bounds Testing Approach to Cointegration. J. Acad. Res. Econ. 11(2), 310-329
Odugbesan, J. A. and Rjoub, H. (2020a). Relationship among economic growth, energy consumption, CO2 emission, and urbanization: evidence from MINT countries. Sage Open, 10(2), 2158244020914648.
Odugbesan, J. A. and Rjoub, H. (2020b). Evaluating HIV/Aids prevalence and sustainable development in sub-Saharan Africa: the role of health expenditure. Afr. Health Sci. 20(2), 568-578.
Odugbesan, J. A., Ike, G., Olowu, G. and Adeleye, B. N. (2020). Investigating the causality between financial inclusion, financial development and sustainable development in Sub‐Saharan Africa economies: The mediating role of foreign direct investment. J. Pub.Affairs, e2569.
Olanipekun, I., Olasehinde-Williams, G. and Akadiri, S. (2019). Gasoline prices and economic policy uncertainty: what causes what, and why does it matter: evidence from 18 selected countries. Environ. Sci. Pollut. Res. 26(15):15,187–15,193
Ozatac, N., Gokmenoglu, K. K and Taspinar, N. (2017). Testing the EKC hypothesis by considering trade openness, urbanization, and financial development: the case of Turkey. Environ. Sci. Pollut. Res. 24(20): 16690–16701
Park, Joon Y. (1992). “Canonical Cointegrating Regressions,” Econometrica, 60, 119-143.
Pata, U. K and Aydin, M. (2020). Testing the EKC hypothesis for the top six hydropower energy-consuming countries: evidence from Fourier bootstrap ARDL procedure. J. Clean. Prod. 121699
Peng, H., Tan, X., Li, Y. and Hu, L. (2016). Economic growth, foreign direct investment and CO2 emissions in China: a panel granger causality analysis. Sustainability, 8(3), 233.
Pesaran, M. H., Shin, Y. and Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. J. Appl. Econ. 16(3), 289-326.
Phillips, P. C. and Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I (1) processes. The Rev. Econ. Stud. 57(1), 99-125.
Pirgaip, B. and Dinçergök, B. (2020). Economic policy uncertainty, energy consumption and carbon emissions in G7 countries: evidence from a panel Granger causality analysis. Environ. Sci. Pollut. Res. 27, 30050-30066.
Richmond, A. K. and Kaufmann, R. K. (2006). Is there a turning point in the relationship between income and energy use and/or carbon emissions?. Ecolog. Econ. 56(2), 176-189.
Rjoub, H., Odugbesan, J. A., Adebayo, T. S. and Wong, W. K. (2021). Investigating the Causal Relationships among Carbon Emissions, Economic Growth, and Life Expectancy in Turkey: Evidence from Time and Frequency Domain Causality Techniques. Sustainability, 13(5), 2924.
Romano, T. and Fumagalli, E. (2018). Greening the power generation sector: Understanding the role of uncertainty. Ren. Sustain. Energ. Rev. 91, 272-286.
Saboori, B., Sulaiman, J. and Mohamed, S. (2012) Economic growth and CO2 emissions in Malaysia: a cointegration analysis of the environmental Kuznets curve. Energ. Pol. 51:184–191
Saidi, K. and Mbarek, M. B. (2017). The impact of income, trade, urbanization, and financial development on CO 2 emissions in 19 emerging economies. Environ. Sci. Pollut. Res. 24(14):12748–12757
Salahuddin, M., Gow, J. and Ozturk, I. (2015). Is the long-run relationship between economic growth, electricity consumption, carbon dioxide emissions and financial development in Gulf Cooperation Council Countries robust?. Ren. Sustain. Energ. Rev. 51, 317-326.
Shahbaz, M., Solarin, S. A., Hammoudeh, S. and Shahzad, S. J. (2017). Bounds testing approach to analyzing the environment Kuznets curve hypothesis with structural beaks: the role of biomass energy consumption in the United States. Eng. Econ. 68:548–565
Shahbaz, M. and Sinha, A. (2019). Environmental Kuznets curve for CO2 emissions: a literature survey. J. Econ. Stud. MPRA Paper No. 86281. Available: https://mpra.ub.uni-muenchen.de/86281/
Shahbaz, M. Gozgor, G., Adom, P. K. and Hammoudeh, S. (2019). The technical decomposition of carbon emissions and the concerns about FDI and trade openness effects in the United States. Intl. Econ. 159, 56-73.
Shahbaz, M., Hye, Q. M. A., Tiwari, A. K. and Leitão, N. C. (2013). Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia. Ren. Sustain. Energ. Rev. 25, 109-121.
Soytas U. and Sari, R. (2003). Energy consumption and GDP: causality relationship in G7 countries and emerging markets. Eng. Econ. 25:33–37
Stern, D. I. (2017). The environmental Kuznets curve after 25 years. J. Bioeconomics, 19(1), 7-28.
Usman, O., Alola, A. A. and Sarkodie, S. A. (2020). Assessment of the role of renewable energy consumption and trade policy on environmental degradation using innovation accounting: Evidence from the US. Ren. Energ. 150, 266-277.
Wang, Q., Jiang, X. T., Ge, S. and Jiang, R. (2019). Is economic growth compatible with a reduction in CO2 emissions? Empirical analysis of the United States. Res. Conserv. Recyc. 151, 104443.
Wang, Q., Xiao, K. and Lu, Z. (2020). Does Economic Policy Uncertainty Affect CO2 Emissions? Empirical Evidence from the United States. Sustainability, 12(21), 9108.
Wang, Y. and Shen, N. (2016). Environmental regulation and environmental productivity: The case of China. Ren. Sustain. Energ. Rev. 62, 758-766.
World Bank (2021) World development indicators. http://data.worldbank.org/(retrieved 5 Apr 2021)
World Bank (2021). World Development Indicators. The World Bank, Washington, DC, U.S.A
Zhao, X. and Sun, B. (2016) The influence of Chinese environmental regulation on corporation innovation and competitiveness. J. Clean. Prod. 112: 1528–1536
Zivot, E. and Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of business & economic statistics,20(1), 25-44. | ||
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