نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه اقتصادسیاسی و سیاستگذاری عمومی، دانشگاه علامه‌ طباطبائی، تهران، ایران

2 کارشناسی ‌ارشد اقتصاد محیط ‌زیست، دانشگاه علامه طباطبائی، تهران، ایران

چکیده

شناسایی آثار دائمی یا موقتی شوک‌های وارد بر محیط زیست یکی از ملاحظات مهم در بحث سیاست‌گذاری است. هدف این پژوهش بررسی ماندگاری شوک‌ها بر تخریب محیط‌زیست در 33 کشور صادرکنندة نفت با استفاده از آزمون ریشه واحد پانل است. برای این منظور از آزمون پانل بهمنی اسکویی و همکاران (2014) با شکست‌های تیز و هموار و آزمون مانایی تک متغیره پانل کاریون سیلوستر و همکاران (2005) با شکست‌های تیز و هموار برای دورة زمانی 2017-1961 استفاده شد. نتایج پژوهش نشان داد که شوک‌های وارد بر ردپای بوم‌شناختی به عنوان شاخص تخریب محیط زیست در کشورهای منتخب صادرکنندة نفت آثار موقتی دارند. به عبارت دیگر، ردپای بوم‌شناختی تحت دو فرض واریانس بلندمدت همگن و واریانس بلندمدت ناهمگن رفتار بازگشت به میانگین دارد. نتایج آزمون تک متغیره نیز نشان داد مانایی ردپای بوم‌شناختی در سطح معنی‌داری 10 درصد برای همة کشورهای صادرکنندة نفت به جز کشورهای کانادا، جمهوری کنگو، مصر، ایران و اندونزی تأیید می‌شود. درنتیجه سیاست‌های مربوط به کاهش اندازه ردپای بوم‌شناختی در بلندمدت در کشورهای کانادا، جمهوری کنگو، مصر، ایران و اندونزی تأثیر دائمی خواهند داشت، به عبارت دیگر، مداخلة دولت در جهت وضع سیاست‌هایی که منجر به کاهش ردپای بوم‌شناختی می‌شوند، مؤثر خواهد بود.

کلیدواژه‌ها

عنوان مقاله [English]

Persistence of Shocks on Environmental Degradation in Oil-Exporting Countries: Implications for Environmental Policymaking

نویسندگان [English]

  • Arian Daneshmand 1
  • Mojgan Rostamirad 2

1 Assistant Professor, Department of Political Economy and Public Policy, Allameh Tabataba'i University, Tehran, Iran

2 M. Sc. in Environmental Economics, Allameh Tabataba'i University, Tehran, IranIran.

چکیده [English]

The objective of this study is to investigate policy shocks to the ecological footprints of 33 oil-exporting countries for the period 1961-2017. For this purpose, we apply the panel stationarity tests with both sharp and smooth breaks developed by Bahmani-Oskooee et al. (2014) and Carrion-i-Silvestre et al. (2005) to test the persistence of shocks on environmental degradation. The overall results suggest that shocks to the ecological footprint as an indicator of environmental degradation in oil-exporting countries have temporary effects. In other words, the ecological footprint under the two assumptions of long-term homogeneous variance and long-term heterogeneous variance has a mean-reverting behavior. The results of the univariate test also reveal that the ecological footprint is stationary at a 10% significance level for all oil-exporting countries except Canada, Congo, Egypt, Indonesia, and Iran. This implies that policymakers should design effective long-run policies to reduce the ecological footprint in these countries.

کلیدواژه‌ها [English]

  • Permanent and temporary shocks
  • Ecological footprint
  • Panel unit root test
  • Oil-exporting countries
Ahmed, M., Khan, A. M., Bibi, S. & Zakaria, M. (2017). Convergence of per capita CO2 emissions across the globe: Insights via wavelet analysis. Renewable and Sustainable Energy Reviews, 75, 86-97. https://doi.org/ 10.1016/j.rser.2016.10.053
Aldy, J. E. (2006). Per capita carbon dioxide emissions: Convergence or divergence? Environmental and Resource Economics, 33(4), 533-555. https://doi.org/10.1007/s10640-005-6160-x
Arnas,N. (2009). Fighting Chance Global Trends and Shocks in the National Security Environment National Defense UN. Washington, D.C:Potomac Books.
Bahmani-Oskooee, M., Chang, T. & Wu, T. (2014). Revisiting purchasing power parity in African countries: Panel stationary test with sharp and smooth breaks. Applied Financial Economics, 24(22), 1429-1438. DOI:10.1080/09603107.2014.925068
Bai, J. & Perron, P. (1998). Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica, 66, 47-78. https://doi.org/10.2307/2998540
Becker,R., Enders, W. & Lee, J.(2004). A General Test for Time Dependence in Parameters. Journal of Applied Econometrics,19, 899-906. https://doi.org/10.1002/jae.751
Becker, R., Enders, W. & Lee, J. (2006). A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks, Journal of Time Series Analysis, 27(3), 381–409. https://doi.org/10.1111/j.1467-9892.2006.00478.x
Belbute, J. M. & Pereira, A. M. (2017). Do global CO2 emissions from fossil-fuel consumption exhibit long memory? A fractional-integration analysis. Applied Economics, 49(40), 4055-4070. https://doi.org/10.1080/ 00036846.2016.1273508
Carrion-i-Silvestre, JL., Sanso, A. & Artís, M. (2001): Cointregration and Structural Breaks. Working paper. Department of Econometrics, Statistics and Spanish Economy. University of Barcelona.
Carrion-i-Silvestre, JL., Del Bario-Castro, T. & Lopez-Bazo, E. (2005). Breaking the Panels: An Application to the GDP per Capita. Econometrics Journal,8,159-175. DOI:10.1111/j.1368-423X.2005.00158.x
Choudhary, M.P. & Chauhan, G.S. (2015). Environmental Degradation: Causes, Impacts and Mitigation. Conference Paper. Retrieved from https://www.researchgate.net/publication/279201881
Christidou, M., Panagiotidis, T. & Sharma, A. (2013). On the stationarity of per capita carbon dioxide emissions over a century, Econ. Modell, 33, 918-925. https://doi.org/10.1016/j.econmod.2013.05.024
Colburn, K., Gerhard, J., Moskovitz, D. & Schultz, R. (2013). Integrating Energy and Environmental Policy. Retrieved from http://www.raponline.org/wp-content/uploads/2016/05/rap-colburngerhard integratingenergyenvironmentalpolicy-2012-dec-31.pdf
Conservation Energy Future (CEF). (2016). What is environmental degradation?  Retreived from https://www.conserve-energy-future.com/causes-and-effects-ofenvironmental-degradation.php
Desmond McCarthy,F. & Dhareshwar,A.(1992). Economic Shocks and the Global Environment. Washington, D.C, United States: International Economic analysis and Prospects. Retrieved from http://documents.worldbank.org/curated/en/893921468758154823/Economic-shocks-and-the-global-environment
Enders, w., Lee,J. (2012a). A Unit Root Test Using a Fourier Series to Approximate Smooth Breaks.Oxf. Bull. Econ. Stat,74(4),574-599. https://doi.org/10.1111/j.1468-0084.2011.00662.x
Enders, W. & Lee, J. (2012b). The flexible Fourier form and Dickey-Fuller type unit root tests. Econ. Lett ,117 (1), 196–199. https://doi.org/10.1016/j.econlet.2012.04.081
Gallant, A. R. (1981). On the bias in flexible functional forms and an essentially unbiased form: the flexible Fourier form, Journal of Econometrics, 15(2), 211–245. https://doi.org/10.1016/0304-4076(81) 90115-9
Galton, F. (1886). Regression Towards Mediocrity in Hereditary Stature. The Journal of the Anthropological Institute of Great Britain and Ireland. 15, 246–263. doi:10.2307/2841583JSTOR2841583
Gil-Alana, L., Cunado, J. & Gupta, R. (2015). Persistence, mean-reversion, and nonlinearities in CO2 emissions: The cases of China, India, UK and US. University of Pretoria Department of Economics Working Paper Series, 28. http://www.up.ac.za/media/shared/61/WP/wp_2015_28. zp54593.pdf
Glynn, J., Nelson, P.& Reetu, V.(2007). Unit root Tests and Structural Breaks: A Survey with Applications. REVISTA DE METODOS CUANTITATIVOS PARA LA ECONOMIA Y LA EMPRESA,3, 63-79.
Hadri, K.(2000). Testing for Stationary in Heterogeneous Panel Data. Econometrics Journal,3, 148-161. https://doi.org/10.1111/1368-423X.00043
Hansen, B.E. (2001). The New Econometrics of Structural Changes: Dating Breaks in U.S. Labor Productivity. Journal of Economic Perspectives,15(4),117-128. DOI:10.1257/jep.15.4.117
Heil, M. T. & Selden, T. M. (1999). Panel stationarity with structural breaks: Carbon emissions and GDP. Applied Economics Letters, 6(4), 223-225. https://doi.org/10.1080/135048599353384
Hertwich, E.G., Gibon, T., Bouman, E.A., Arvesen, A., Suh, S., Heath, G.A., Bergesen, G.D., Ramirez, A., Vega, M.I. & Shi, L. (2015). Integrated life-cycle assessment of electricity-supply scenarios confirms global environmental benefit of low-carbon technologies. Proc. Natl. Acad. Sci., 112(20), 6277-6282. https://doi.org/10.1073/pnas.1312753111
Kapetanios, G., Shin, Y., & Snell, A. (2003). Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112(2), 359-379. https://doi.org/10.1016/S0304-4076(02)00202-6
Kohl, W.L. (2004). National Security and Energy. Encyclopedia of Energy. 193-206. https://doi.org/10.1016/B0-12-176480-X/00494-0
Kulesa, A., Krzywinski, M., Blainey, P. & Altman, N. (2013). Sampling distributions and the bootstrap. Nature Methods, 12, 477-478. https://doi. org/10.1038/nmeth.3414
Kwiatkowski, D., Phillips, P.,Schmidt, P. & Shih, Y.(1992). Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit root: How Sure Are We that Economic Time Series Have a Unit root? Journal of Econometrics, 54, 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y
Lee, C. C. & Chang, C. P. (2008). New evidence on the convergence of per capita carbon dioxide emissions from panel seemingly unrelated regressions augmented Dickey–Fuller tests. Energy, 33(9), 1468-1475. https://doi.org/10.1016/j.energy.2008.05.002
Lee, C. C. & Chang, C. P. (2009). Stochastic convergence of per capita carbon dioxide emissions and multiple structural breaks in OECD countries. Economic Modelling,26(6), 1375-1381. DOI:10.17015/ejbe.2016.018.07
Lee, J., Strazicich, M.C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Rev. Econ. Stat. 85 (4), 1082e1089. https://doi.org/10.1162/003465303772815961.
Li, J.P., Ranjbar,O.,& Chang, T.(2015). Unemployment Hysteresis in PIIGS Countries: A New Test with Both Sharp and Smooth Breaks. The Singapore Economic Review, 60(4),1550078,1-1550078,13. https://doi.org/10.1142/S0217590815500782
Lumsdaine, R.L.,& Papell, D.H.(1997). Multiple Trend Breaks and the Unit root Hypothesis. Review of Economics and Statistics,79(2), 212-218. https://doi.org/10.1162/003465397556791
Maddala, GS. & Wu, S. (1999). A comparative study of unit roots tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631–652. https://doi.org/10.1111/1468-0084.0610s1631
Nelson, Ch.R. & Plosser, Ch.I.(1982). Trends and Random Walks in Macroeconomic Time Series: Some evidence and implications. Journal of Monetary Economics, 10(2), 139-162. https://doi.org/10.1016/0304-3932(82)90012-5
Nordstrom,M.(2018). On the Use of Integer and Fractional Flexible Fourier Form Dickey-Fuller Unit root tests. Retrieved from http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8935950&fileOId=8935951
O'Rourke, D. & Connolly, S. (2003). Just Oil? The Distribution of Environmental and Social Impacts of Oil Production and Consumption. Annual Review of Environment and Resources,28(1),587-617. https://doi.org/10.1146/annurev.energy.28.050302.105617
Ozcan, B., Ulucak, R. & Dogan, E.) 2019(. Analyzing long lasting effects of environmental policies: evidence from low-, middle- and high-income economies. Sustain.Cities. Soc, 44, 130-143. https://doi.org/10.1016/ j.scs.2018.09.025
Pearce, F. (2012). Could a Climate change Set off Volcanoes and quakes? Yale School of the Environment. Retrieved from https://e360.yale. edu/features/could_a_changing_climate_set_off_volcanoes_and_quakes
Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57 (6), 1361–1401. https://doi.org/10.2307/ 1913712
Perron, P. (1997). Further Evidence On Breaking Trend Functions in Macroeconomic Variables. Journal of Econometrics, 80(2), 255-285. https://doi.org/10.1016/S0304-4076(97)00049-3
Pesaran, M.H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Empirical Economics. 60, 13-50. https://doi.org/10.1007/s00181-020-01875-7
Prodan, R. (2008). Potential pitfalls in determining multiple structural changes with   an application to purchasing power parity. J. Business Econ. Stat, 26 (1), 50–65. https://doi.org/10.1198/073500107000000304
Rodrigues, P.M.M. & Taylor, R.A.M. (2012). The flexible Fourier form and local generalised least squares de-trended unit root tests. Oxford Bull. Econ. Stat, 74 (5), 736–759. https://doi.org/10.1111/j.1468-0084.2011. 00665.x
Santoyo-Castelazo, E. & Azapagic, A. (2014). Sustainability assessment of energy systems: integrating environmental, economic and social aspects. Journal of Clean Production., 80, 119-138. https://doi.org/10.1016/ j.jclepro.2014.05.061
Schubert, K. (2018). MACROECONOMICS AND THE ENVIRONMENT. OFCE. 2018/3 (N 157), 117-132. https://www.cairn.info/revue-de-l-ofce-2018-3-page-117.htm
Skea, J. (1992). Environmental issues facing the oil industry. Energy Policy, 20(10), 950-958. https://doi.org/10.1016/0301-4215(92)90182-2
Solarin, S. A., & Bello, M. O. (2018). Persistence of policy shocks to an environmental degradation index: The case of ecological footprint in 128 developed and developing countries. Ecological Indicators, 89, 35-44. DOI:10.1016/j.ecolind.2018.01.064
Stavins, R.N. (1998). Market-Based Environmental Policies. Discussion Paper 98-26, Retrieved from https://ideas.repec.org/p/ags/rffdps/10506.html
Strazicich, M. C. & List, J. A. (2003). Are CO2 emission levels converging among industrial countries?. Environmental and Resource Economics, 24(3), 263-271. https://doi.org/10.1023/A:1022910701857
Tiwari, A. K., Kyophilavong, P. & Albulescu, C. T. (2016). Testing the stationarity of CO2 emissions series in Sub-Saharan African countries by incorporating nonlinearity and smooth breaks. Research in International Business and Finance, 37©, 527-540. https://doi.org/10.1016/j.ribaf. 2016.01.005
Tobler, C. (2017). Switzerland. In: EPTA and Assessment Swiss Foundation for Technology, ed. Shaping the future of mobility: mobility pricing in Europe and beyond. Berne: TA-Swiss, 67–70.
Ulucak, R. & Lin, D. (2017). Persistence of Policy Shocks to Ecological Footprint of The USA. Ecological Indicators, 80, 337-343. https://doi.org/10.1016/j.ecolind.2017.05.020
Westerlund, J.& Basher, S.A. (2007). Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data. Environmental and Resource Economics, 40, 109-120. https://doi.org/10.1007/s10640-007-9143-2
Yilanci, V., Gorus, M. & Aydin, M. (2019). Are Shocks to Ecological Footprint in OECD Countries Permanent or Temporary?, Journal of Cleaner Production, 212, 270-301. https://doi.org/10.1016/j.jclepro. 2018.11.299
Yilanci, V. & Pata, U. (2020). Are shocks to ecological balance permanent or temporary? Evidence from LM unit root tests. Journal of Cleaner Production, 276:124294. https://doi.org/10.1016/j.jclepro.2020.124294
Zivot, E. & Andrews, K. (1992). Further Evidence On the Great Crash, The Oil Price Shock, and The Unit root Hypothesis. Journal of Business and Economic Statistics, 10(10), 251-270. https://doi.org/10.2307/1391541
      
 
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