تاثیر رشد اقتصادی بر رابطه بین مصرف انرژی و آلودگی محیط زیست در کشورهای D8: رویکرد رگرسیون انتقال ملایم پانلی (PSTR)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه اقتصاد، دانشکده اقتصاد و مدیریت، دانشگاه ارومیه، ایران

2 دانشجوی دکتری اقتصاد، گروه اقتصاد، دانشکده اقتصاد و مدیریت، دانشگاه ارومیه، ایران

چکیده

هدف اصلی این مطالعه بررسی و مقایسه تاثیرات آستانه‌‌ای رشد اقتصادی بر رابطه مصرف انرژی و آلودگی محیط‌زیست در کشورهای D8 طی دوره‌ی زمانی 2015-1990 می‌باشد. برای این منظور از مدل رگرسیونی انتقال ملایم پانلی (PSTR) که برای داده‌های تابلویی ناهمگن بسیار مناسب است، استفاده شده است. بدین‌ترتیب رشد اقتصادی به عنوان متغیر انتقال مورد استفاده قرار گرفته شده است. نتایج نشان می‌دهد که رابطه غیرخطی بین متغیرهای توضیحی و انتشاروجود داشته و رشد اقتصادی به صورت غیرمستقیم در نحوه اثرگذاری مصرف انرژی، جمعیت و ارزش افزوده صنعت بر انتشار گاز دی‌اکسید‌کربن موثر است. بر اساس نتایج آزمون‌های لازم، لحاظ نمودن تنها یک تابع انتقال با یک حد آستانه‌‌ای و دو رژیم برای برآورد غیرخطی مدل کفایت می‌کند. همچنین، لگاریتم مقدار آستانه‌‌ای متغیر انتقال برابر 3418/8 و پارامتر شیب برابر 4942/21 برآورد شده است. در رژیم اول مصرف انرژی، جمعیت و ارزش افزوده صنعت دارای تاثیر مثبت و معناداری بر انتشار دی‌اکسید‌کربن بوده که این تاثیر با عبور از حد آستانه‌‌ای و در رژیم دوم (با سطح رشد اقتصادی بالا) برای متغیر جمعیت بیشتر شده است. همچنین در این رژیم اثر مصرف انرژی و ارزش افزوده صنعت بر انتشار کماکان مثبت بوده ولی مقدار آن در مقایسه با رژیم اول کاهش یافته است.

کلیدواژه‌ها

عنوان مقاله [English]

The Effects of Economic Growth on the Relationship Between Energy Consumption and Pollution in D8 Countries: Panel Smooth Transition Regression Approach (PSTR)

نویسندگان [English]

  • Ali Rezazadeh 1
  • Fahmide Fattahi 2
1 Assist. Profe. Department of Economics, Faculty of Economics and Management, Urmia University, Urmia, Iran
2 PhD Student in Economics, Department of Economics, Faculty of Economics and Management, Urmia University, Urmia, Iran
چکیده [English]

The purpose of this study is to investigate The Threshold Effect of Economic Growth on the Relationship between Energy Consumption and environment Pollution in D8 Countries during the period 1990-2015. The panel smooth transition regression model (PSTR) is used for this purpose that is well proper for heterogeneous panel data. The Economic Growth used as the transition variable. The results show that there is a non-linear relationship between the explanatory variables and the dependent variable and relationship between energy consumption, population, Industry value added and co2 emissions indirectly is affected by Economic Growth. Estimated threshold value of transition variable is equal 8.3418 and the slope parameter is equal 21.4942 that contain only one transition function and only one threshold value. In the first regime, Energy consumption, population and Industry value added have a positive impact on co2 emissions. In the second regime that the amount of Economic Growth is greater than threshold value, positive impact of population on dependent variable has been intensified. In this regime the effect of Energy consumption and Industry value added on co2 emissions is positive but its impact is less than before.
 

کلیدواژه‌ها [English]

  • Economic growth
  • Energy consumption
  • Co2 emissions
  • D8 countries
  • Panel Smooth Transition Regression

مراجع

Asghari, M. & Salar Nazar Rafsanjani Pour, S. 2013. The effect of foreign direct investment flow on the environmental quality of selected countries in the Mena basin. Quarterly Journal of Economic Development Research. (9): 1-30 (in Persian).
Balali, H.; Zamani, A. & Yousefi, A. 2013. The Relationship between Economic Growth and Environmental Pollution in Oil Sector with Emphasis on Oil Price Volatility: Case Study of Iran. The Journal of Planning and Budgeting, 18 (3): 43-66 (in Persian).
Behbudi, D. & Sojoodi, S. 2011. Environment and Sustainable Economic Growth: a case study of Iran. Economical Modeling, 4(2): 1-18 (in Persian).
Chen, J.H. & Huang, Y.F. 2014. Nonlinear Environment and Economic Growth Nexus: A Panel Smooth Transition Regression Approach. Journal of International and Global Economic Studies. 7(2), 1-16.
Chiu, Y.B. 2017. Carbon dioxide, income and energy: Evidence from a non-linear model. Energy Econ. 6: 279–288.
Chol, K.J. 2020. The Relationship Between Economic Growth, Energy Consumption and Environmental Pollution Based on ARDL Model. 5th International Conference on Social Sciences and Economic Development (ICSSED 2020), Advances in Social Science, Education and Humanities Research, volume 427.
Colletaz, G. & Hurlin, C. 2006. Threshold Effects of the Public Capital Productivity: An International Panel Smooth Transition Approach. Working paper. 1/2006, LEO, Universite d Orleans. 1-39.
de Sherbinin, A.; Carr, D.; Cassels, S. & Jiang, L. 2007. Population and Environment. Annu Rev Environ Resour. 32: 345–373.
Fotros, M. H.; Aghazadeh, A. & Jabraili, S. 2011. Impact of Economic Growth on the Consumption of Renewable Energy: A Comparative Study of Selected OECD and Non-OECD (Including Iran) Countries. Journal of Economic Research and Policies, 19 (6): 81-98 (in Persian).
Fouquau, J.; Destais, G. & Hurlin, C. 2009. Energy Demand Models: A Threshold Panel Specification of the Kuznets Curve.Applied Economics Letters. 16:.1241–1244.
Gonzalez, A.; Terasvirta, T. & Van Dijk, D. 2005. Panel Smooth Transition Regression Models. SEE/EFI Working paper Series in Economics and Finance, (604), 1-33.
Hanif, I. & Gago-de-Santos, P. 2016. The Importance of Population Control and Macroeconomic Stability to Reducing Environmental Degradation: An Empirical test of the Environmental Kuznets Curve for Developing Countries. Environmental Development. (23) 1–9.
Heidari, H.; Katirciog˘lu, S.T. & Saeidpour, L. 2015. Economic Growth, CO2 emissions, and energy consumption in the five ASEAN countries. Electrical Power and Energy Systems. 64, 785–791.
Jude, E. 2010. Financial Development and Growth: A Panel Smooth Regression Approach. Journal of Economic Development. (35), 53-74.
Kadilli, A. & Markov, N. 2011. A Panel Smooth Transition Regression Model for the determinants of Credibility in the ECB and the Recent Financial Crisis. Working papers, University of Geneva. (11092), 1-40.
Lee, S. & Oh, D. 2015. Economic growth and the environment in China: Empirical evidence using prefecture level data. China Economic Review. 36: 73–85.
Lu, Y. 2020. An Empirical Analysis on the Nonlinear Relationship Between Economic Growth and Carbon Dioxide Emissions in China. International Journal of Sustainable Development and Planning,.15(2): 201-209.
Mirza, F.M. & Kanwal, A. 2017. Energy consumption, carbon emissions and economic growth in Pakistan: Dynamic causality analysis. Renewable and Sustainable Energy Reviews. 72: 1233–1240.
Mohammad Bagheri, A. 2010. Investigating Short-Term and Long-Term Relationships between GDP, Energy Consumption and Carbon Dioxide Emissions in Iran. Journal of Energy Economics Studies, 7 (27): 101-129 (in Persian).
Mohammadi, H. & Tergari Seraji, M. 2013. Investigation of the Relationship between Economic Growth, Trade Openness and Environmental Pollution: A Review of Selected Countries in the Middle East. Iranian Energy Economics, 2 (6): 183-207 (in Persian).
Ramli, N. A. & Munisamy, S. 2015. Ecoeefficiency in greenhouse emissions among manufacturing industries: a range adjusted measure. Econ Model. 47: 219-227.
Salta, M.; Polatidis, H. & Haralambopoulos, D. 2009. Energy use in the Greek manufacturing sector: a methodological framework based on physical indicators with aggregation and decomposition analysis. Energy. 34 (1): 90-111.
Şentürk, H.; Omay, T.; Yildirim, J. & Köse, N. 2020. Environmental Kuznets Curve: Non-Linear Panel Regression Analysis. Environmental Modeling & Assessment, 25:633–651.
Shahbazi, K. & Saeedpour, L. 2013. Threshold Effects of Financial Development on Economic Growth in D8 Countries. Quarterly Journal of Economic Growth and Development Research. 3 (12): 38-21 (in Persian).
Sharekian, A. & Lotfalipour, M.R. 2016. The Role of Energy Efficiency in the Improvement of the Environment in Selected Oil Exporting Countries (Method of panel data). Journal of Economics and Regional Development, 23 (11): 106-130 (in Persian).
Tiba, S. & Omri, A. 2016. Literature survey on the relationships between energy, environment and economic growth. Renewable and Sustainable Energy Reviews. 69: 1129–1146.
Torabi, T.; khajooeipour, A.; Tarighi, S. & Pakravan, M.R. 2015. The Effect of Energy Consumption, Economic Growth and International Business on Greenhouse Gas Emission in Iran. Economical Modeling, 9 (1): 63-84 (in Persian).
Wang, Z.X.; Hao, P. & Yao, P.Y. 2017. Non-Linear Relationship between Economic Growth and CO2 Emissions in China: An Empirical Study Based on Panel Smooth Transition Regression Models. International Journal of Environmental Research and Public Health. 14: 1-11.
Xu, B. & Lin, B. 2016. Reducing CO2 emissions in China's manufacturing industry: Evidence from nonparametric additive regression models. Energy. 101: 161-173.
Zaman, Kh.; Shahbaz, M.; Loganathan, N. & Ali Raza, S. 2016. Tourism development, energy consumption and Environmental Kuznets Curve: Trivariate analysis in the panel of developed and developing countries. Tourism Management. 54: 275-283.
Zoundi, Z. 2016. CO2 Emissions, Renewable Energy and the Environmental Kuznets Curve. A Panel Cointegration Approach. Renewable and Sustainable Energy Reviews. 72: 1067–1075.
 
 
پژوهش های محیط زیست
دوره 12، شماره 24
مجله پژوهشی
اسفند 1400
صفحه 237-251

فایل ها

هم رسانی

ارجاع به این مقاله

آمار