نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری علوم اقتصادی، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
2 دانشجوی کارشناسی ارشد علوم اقتصادی، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
3 دانشیار گروه اقتصاد، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
چکیده
مطالعه حاضر آثار آستانهای دو متغیر ساختار مصرف انرژی و تولید ناخالص داخلی سرانه بر انتشار کربن را طی دوره زمانی 2002 الی 2019 برای 37 کشور منتخب (با سطح درآمد متوسط به بالا) با استفاده از رویکرد غیرخطی الگوهای رگرسیونی انتقال ملایم پانلی مورد مطالعه قرار داده است. برای این منظور، دو مدل مجزا با لحاظ نمودن دو متغیر انتقال ساختار مصرف انرژی و تولید ناخالص داخلی سرانه برآورد شده است. نتایج حاصله بر وجود رابطه غیرخطی بین متغیرهای موردمطالعه در هر دو الگو دلالت میکند. نتایج برآورد هر دو الگو مبین آن است که تولید ناخالص داخلی سرانه (در حالت آستانهای ساختار مصرف انرژی) و ساختار مصرف انرژی (در حالت آستانهای تولید ناخالص داخلی سرانه) دارای اثری مثبت بر انتشار کربن میباشند. همچنین شهرنشینی و بازبودن تجاری در هر دو مدل دارای اثری مثبت بر انتشار کربن هستند. بدین ترتیب، نتایج نشان میدهند که افزایش کارایی در ساختار مصرف انرژی و تولید ناخالص داخلی سرانه میتواند منجر به کاهش قابل توجهی در انتشار کربن گردد. این یافتهها نهتنها بر اهمیت بهینهسازی سیاستهای انرژی، بلکه به نقش کلیدی تغییرات در ساختار اقتصادی در مدیریت انتشار گازهای گلخانهای اشاره دارند.
کلیدواژهها
موضوعات
عنوان مقاله [English]
Threshold Effect of Financial Development on Carbon Dioxide Emission: Emphasis on the Role of Good Governance
نویسندگان [English]
- Seyyed Mohammad Ghaem Zabihi 1
- Rasta Kamalian 1
- Fatemeh Akbari 2
- Ali Akbar Naji Meidani 3
1 Ph.D. Candidate in Economics, Department of Economics, Ferdowsi University of Mashhad, Mashhad, Iran
2 M.A. Student in Economics, Department of Economics, Ferdowsi University of Mashhad, Mashhad, Iran.
3 Associate Professor, Department of Economics, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده [English]
The current study has studied the threshold effects of energy consumption structure and GDP per capita variables on carbon emissions from 2002 to 2019 for 37 selected countries (with middle to high-income levels) using the non-linear approach of Panel Smooth Transition Regression Models. For this purpose, two separate models have been estimated by considering energy consumption structure transfer and GDP per capita variables. The results indicate a non-linear relationship between the studied variables in both models. The estimation results of both models show that GDP per capita (in the threshold state of energy consumption structure) and energy consumption structure (in the threshold state of GDP per capita) positively affect carbon emissions. Also, urbanization and trade openness have a positive effect on carbon emissions in both models. Thus, the results show that increasing efficiency in energy consumption and GDP per capita structure can significantly reduce carbon emissions. These findings point to the importance of optimizing energy policies and the crucial role of changes in the economic structure in managing greenhouse gas emissions.
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کلیدواژهها [English]
- Energy Consumption Structure
- GDP Per Capita
- Carbon Emissions
- Panel Smooth Transition Regression (PSTR)
A.C. Marques, J.A. Fuinhas, Is renewable energy effective in promoting growth? Energy Pol. 46 (2012) 434e442.
Abdollahi Arani, M., Mansouri, N., jani, S., & Aghyee, N. (2023). Carbon Dioxide Emissions and Economic Growth: A Spatial Analysis Among Iranian Provinces. Economic Growth and Development Research, 13(49), 54-33. https://doi.org/10.30473/egdr.2022.60860.6310. [in persian]
Ahmad, M., Kuldasheva, Z., Nasriddinov, F., Balbaa, M. E., & Fahlevi, M. (2023). Is achieving environmental sustainability dependent on information communication technology and globalization? Evidence from selected OECD countries. Environmental Technology & Innovation, 31, 103178. https://doi.org/10.1016/j.eti.2023.103178.
Ang, J. B. (2009). CO2 emissions, research and technology transfer in China. Ecological Economics, 68(10), 2658-65. https://doi.org/10.1016/ j.ecolecon.2009.05.002.
Armeanu DŞ, Gherghina ŞC, Pasmangiu G (2019) Exploring the causal nexus between energy consumption, environmental pollution and economic growth: empirical evidence from Central and Eastern Europe. Energies 12(19):3704.
Ashraf, J., Ashraf, Z., & Javed, A. (2023). The spatial spillover effects of energy transition and trade openness on CO2 emissions. Energy and Buildings, 292, 113167. https://doi.org/10.1016/j.enbuild.2023.113167.
Aslam, B., Hu, J., Shahab, S., Ahmad, A., Saleem, M., Shah, S. S. A., Javed, M. S., Aslam, M. K., Hussain, S., & Hassan, M. (2021). The nexus of industrialization, GDP per capita and CO2 emission in China. Environmental Technology & Innovation, 23, 101674. https://doi.org/10.1016/j.eti.2021.101674.
Azadi, A. (2021). Investigating the relationship between the intensity of energy consumption and the emission of pollution: with the approach of accumulation models, the 11th international conference on new solutions in engineering, information science and technology in the coming century, https://civilica.com/doc/1331002. [in persian]
Bimonte, S., Stabile, A., 2017. Land consumption and income in Italy: a case of inverted EKC. Ecological Economics 131, 36-43.
Chaoyi Chen, Mehmet Pinar, Thanasis Stengos, Renewable energy and CO2 emissions: New evidence with the panel threshold model, Renewable Energy, 2022, Pages 117-128, ISSN 0960-1481, https://doi.org/10.1016/ j.renene.2022.05.095.
Chontanawat, J. (2020). Relationship between energy consumption, CO2 emission and economic growth in ASEAN: Cointegration and causality model. Energy Rep. 6, 660-665. https://doi.org/10.1016/j. egyr.2019.09.046.
Colletaz, G. and Hurlin, C. (2006); “Threshold Effects of the Public Capital Productivity: An International Panel Smooth Transition Approach”. Working Paper, 1/2006, LEO, Université d'Orléans.
De Miguel C, Filippini M, Labandeira X, Labeaga JM, Löschel A (2019) Low-carbon transitions: economics and policy. Energy Economics 84(S1):104606.
Dinda, S., 2004. Environmental Kuznets curve hypothesis: a survey. Ecological Economics 49, 431-455.
E.S. Rubin, I.M.L. Azevedo, P. Jaramillo, S. Yeh, A review of learning rates for electricity supply technologies, Energy Pol. 86 (2015) 198e218.
Ellabban O, Abu-Rub H, Blaabjerg F (2014) Renewable energy resources: current status, future prospects and their enabling technology. Renew Sustain Energy Rev 39:748-764.
Fosten, J., Morley, B., Taylor, T., 2012. Dynamic misspecification in the environmental Kuznets curve: evidence from CO2 and SO2 emissions in the United Kingdom. Ecological Economics 76, 25-33.
- Heal, The economics of renewable energy. NBER working paper 15081. https://www.nber.org/papers/w15081, 2009.
Gao J, Zhang L (2014) Electricity consumption-economic growth-CO2 emissions nexus in Sub-Saharan Africa: evidence from panel cointegration. Afr Dev Rev 26(2):359-371.
Gonz´alez, A., Ter¨asvirta, T., Van Dijk, D., & Yang, Y. (2017). Panel smooth transition regression models.
Gonz´alez, A., Ter¨asvirta, T., van Dijk, D., 2005. Panel Smooth Transition Regression Models. Research Paper N◦165. Quantitative Finance Research Centre, University of Technology, Sydney.
Grossman, G., Krueger, A., 1991. Environmental impacts of a North American free trade agreement. The National Bureau of Economics Research Working Paper n◦3194. NBER, Cambridge.
Gyamfi, B. A., Adedoyin, F. F., Bein, M. A., Bekun, F. V., and Agozie, D. Q. (2021). The anthropogenic consequences of energy consumption in E7 economies: Juxtaposing roles of renewable, coal, nuclear, oil and gas energy: Evidence from panel quantile method. J. Clean. Prod. 295, 126373. https://doi.org/10.1016/j.jclepro.2021.126373.
Haigh, M. (2011). Climate Policy and Financial Institutions. Clim. Policy 11 (6), 1367-1385. https://doi.org/10.1080/14693062.2011.579265.
Halicioglu, F. (2009). An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3), 1156-64. https://doi.org/10.1016/j.enpol.2008.11.012.
Hansen, B.E. (1999) Threshold effects in non-dynamic panels: Estimation, testing, and inference. J. Econ,pp. 345-368.
Hasanov FJ, Mikayilov JI, Mukhtarov S, Suleymanov E (2019) Does CO2 emissions-economic growth relationship reveal EKC in developing countries? Evidence from Kazakhstan. Environ Sci Pollut Res 26(29):30229-30241.
Hsiao, C. (2003): Analysis of Panel Data, 2nd edition. Cambridge: Cambridge University Press.
IRENA, Renewable Power Generation Costs in 2019, International Renewable Energy Agency, Abu Dhabi, 2020. https://www.irena.org/ publications/2020/Jun/Renewable-Power-Costs-in 2019.
Jansen, E. S., and T. Ter¨asvirta (1996): “Testing parameter constancy and super exogeneity in econometric equations,” Oxford Bulletin of Economics and Statistics, 58,735-763.
Jude, E. (2010); “Financial Development and Growth: A Panel Smooth Regression Approach”. Journal of Economic Development, pp. 15-33.
Kahouli, B., Miled, K., & Aloui, Z. (2022). Do energy consumption, urbanization, and industrialization play a role in environmental degradation in the case of Saudi Arabia? Energy Strategy Reviews, 40, 100814. https://doi.org/10.1016/j.esr.2022.100814.
Kar AK (2022) Environmental Kuznets curve for CO2 emissions in Baltic countries: an empirical investigation. Environ Sci Pollut Res 29(1):47189-47208.
Khaki, N., Khorsandi, M., Mohammadi, T., Faridzad, A., & Azizi, Z. (2021). The Impact of Economic Complexity Index on Greenhouse Gas Emissions in Selected Oil Exporting Countries: A Panel Gentle Transmission Regression (PSTR) Model Approach. Iranian Energy Economics, 10(39), 99-125. https://doi.org/10.22054/jiee.2022.67727. 1911. [in persian]
Kohansal, M., & Bahraminasab, M. (2020). Evaluating the relationship between energy consumption and pollution with economic growth in line with overall environmental policies. Quarterly Journal of The Macro and Strategic Policies, 7(28), 500-525. https://doi.org/10.32598/JMSP.7.4.1. [in persian]
Li J, Irfan M, Samad S, Ali B, Zhang Y, Badulescu D, Badulescu A. The Relationship between Energy Consumption, CO2 Emissions, Economic Growth, and Health Indicators. Int J Environ Res Public Health. 2023 Jan 28;20(3):2325. https://doi.org/10.3390/ijerph20032325.
Liu, H., Wong, W.-K., Cong, P. T., Nassani, A. A., Haffar, M., & Abu-Rumman, A. (2023). Linkage among Urbanization, energy Consumption, economic growth and carbon Emissions. Panel data analysis for China using ARDL model. Fuel, 332. https://doi.org/10.1016/j.fuel.2022.126122.
Luukkonen R., Saikkonen P., Teräsvirta T. Testing linearity against smooth transition autoregressive models. Biometrika. 1988;75.3:491-499.
Maddison, D., 2006. Environmental Kuznets curves: A spatial econometric approach. Journal of Environmental Economics and Management 51 (2), 218-230.
Mikayilov JI, Galeotti M, Hasanov FJ (2018) The impact of economic growth on CO2 emissions in Azerbaijan. J Clean Prod 197:1558-1572.
Mitić P, Fedajev A, Radulescu M, Rehman A. The relationship between CO2 emissions, economic growth, available energy, and employment in SEE countries. Environ Sci Pollut Res Int. 2023 Feb;30(6):16140-16155. https://doi.org/10.1007/s11356-022-23356-3.
Murshed, M., Saboori, B., Madaleno, M., Wang, H., & Doğan, B. (2022). Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: The role of economic complexity in the G7 countries. Renewable Energy, 190, 664-674. https://doi.org/10.1016/j. renene.2022.03.121.
Nahidi Amirkhiz, M., Rahimzadeh, F., Shokohi Fard, S. (2019). Investigating the relationship between economic growth, energy consumption and greenhouse gas emissions (case study: selected countries of the Organization of Islamic Cooperation). Environmental Science and Technology, 22(3), 13-26. https://doi.org/10.22034/jest.2018.24919.3396. [in persian]
Narayan PK, Narayan S (2010) Carbon dioxide emissions and economic growth: panel data evidence from developing countries. Energy Policy 38(1):661-666.
Negintaji, Z., & Izadkhasti, H. (2022). The Effect of International Trade and Foreign Direct Investment on Carbon Dioxide Emissions In group D8 with panel data. Iranian Energy Economics, 11(44), 161-192. https://doi.org/10.22054/jiee.2023.70446.1953. [in persian]
Nosheen M, Iqbal J, Khan HU (2021) Analyzing the linkage among CO2 emissions, economic growth, tourism, and energy consumption in the Asian economies. Environ Sci Pollut Res 28(13):16707-16719.
- Edenhofer, L. Hirth, B. Knopf, M. Pahle, S. Schl€omer, E. Schmid, F. Ueckerdt, On the economics of renewable energy sources, Energy Econ. 40 (2013) S12eS23.
- Ocal, A. Aslan, Renewable energy consumption economic growth nexus in Turkey, Renew. Sustain. Energy Rev. 28 (2013) 494e499.
Onofrei M, Vatamanu AF and Cigu E (2022) The Relationship Between Economic Growth and CO2 Emissions in EU Countries: A Cointegration Analysis. Front. Environ. Sci. 10:934885. https://doi.org/10.3389/ fenvs.2022.934885.
Ozili, P. K. (2020). “Effect of Climate Change on Financial Institutions and the Financial System,” in Uncertainty and Challenges in Contemporary Economic Behaviour (Emerald Publishing Limited).
Paramati SR, Mo D, Huang R (2021) The role of financial deepening and green technology on carbon emissions: evidence from major OECD economies. Financ Res Lett 41:101794.
Pesaran, M. H. (2015): Time Series and Panel Data Econometrics. Oxford: Oxford University Press.
Quintero, N., & Cohen, I. (2019). The Nexus Between CO2 Emissions and Genetically Modified Crops: a Perspective from Order Theory. Environmental Modeling & Assessment, 24. https://doi.org/10.1007/ s10666-019-09658-w.
- Astariz, G. Iglesias, The economics of wave energy: a review, Renew. Sustain. Energy Rev. 45 (2015) 397e408.
Sadorsky P (2010) The impact of financial development on energy consumption in emerging economies. Energy Policy 38(5):2528-2535.
Seker F, Ertugrul HM, Cetin M (2015) The impact of foreign direct investment on environmental quality: a bounds testing and causality analysis for Turkey. Renew Sustain Energy Rev 52:347-356.
Stavytskyy, A. V., Kharlamova, G., Giedraitis, V., & Šumskis, V. (2018). Estimating the interrelation between energy security and macroeconomic factors in European countries. Journal of International Studies, 217-238.
Stern, D. (2004); “The Rise and Fall of the Environmental Kuznets Curve”. World Development, Elsevier, pages 1419-1439, August.
Stern, D., Common, M.S., 2001. Is There an Environmental Kuznets Curve for Sulfur? Journal of Environmental Economics and Management 41, 162-178. Westerlund, J., 2007. Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics 69 (6), 709-748.
Sullivan, R. (2014). Climate Change: Implications for Investors and Financial Institutions." Available at SSRN 2469894.
Ter¨asvirta, T. (1998): “Modelling economic relationships with smooth transition regressions,” in Handbook of applied economic statistics, ed. by A. Ullah, and D. E. A. Giles, pp. 507-552. New York: Marcel Dekker.
Terasvirta, T. (1994): “Specification, estimation, and evaluation of smooth transition autoregressive models,” Journal of the American Statistical Association, 89, 208-218.
Usman, M., Jahanger, A., Makhdum, M. S. A., Balsalobre-Lorente, D., and Bashir, A. (2022). How do financial development, energy consumption, natural resources, and globalization affect arctic countries’ economic growth and environmental quality? An advanced panel data simulation. Energy 241, 122515. https://doi.org/10.1016/j.energy.2021.122515.
Wang DT, Gu FF, David KT, Yim CKB (2013) When does FDI matter? The roles of local institutions and ethnic origins of FDI. Int Bus Rev 22(2):450-465.
Waqih MAU, Bhutto NA, Ghumro NH, Kumar S, Salam MA (2019) Rising environmental degradation and impact of foreign direct investment: an empirical evidence from SAARC region. J Environ Manag 243(April):472-480. https://doi.org/10.1016/j.jenvman.2019.05.001.
Xu Y, Fan X, Zhang Z, Zhang R (2020) Trade liberalization and haze pollution: evidence from China. Ecol Indic 109 (October 2019): 105825. https://doi.org/10.1016/j.ecolind.2019.105825.
Yoro K.O., Daramola M.O. CO2 emission sources, greenhouse gases, and the global warming effect. In: Rahimpour M.R., Farsi M., Makarem M.A., editors. Advances in Carbon Capture. Woodhead Publishing; Sawston, UK: 2020. pp. 3-28