رابطۀ پیچیدگی اقتصادی و انتشار دی‌اکسیدکربن در ایران با استفاده از الگوی غیرخطی NARDL

نوع مقاله : مقاله پژوهشی

نویسندگان

استادیار گروه اقتصاد، دانشکدۀ علوم انسانی، دانشگاه بزرگمهر قائنات، قائنات ایران

چکیده

طی دهه‌های گذشته، تهدیدهای فزایندۀ گرمایش زمین در ارتباط با تغییرات آب‌وهوایی توجه به گازهای گلخانه‌ای، به‌ویژه دی‌اکسیدکربن را به‌عنوان عامل اصلی گرمایش زمین به خود جلب کرده است. تأثیرات نامطلوب تغییرات آب‌وهوایی نه‌تنها به محیط‌زیست، بلکه به همۀ بخش‌های جامعه و اقتصاد در سراسر جهان آسیب می‌رساند. پیشرفت‌های تکنولوژیکی یکی از عوامل مهمی است که می‌تواند مقدار عناصر آلاینده نسبت به‌میزان تولید اقتصادی در کشورها را کاهش دهد. شاخص پیچیدگی اقتصادی از شاخص‌هایی است که سطح دانش و مهارت‌های موردنیاز در تولید را نشان می‌دهد و معیاری برای توسعۀ اقتصادی است. در این مطالعه ارتباط غیرخطی میان شاخص پیچیدگی اقتصادی و انتشار دی‌اکسیدکربن با بهره‌گیری از الگوی غیرخطی خودتوضیح با وقفه‌های توزیعی در بازۀ زمانی 1398-1350 مورد بررسی قرار گرفته است. نتایج حاصل از الگو حاکی از آن است که با افزایش پیچیدگی اقتصادی، انتشار دی‌اکسیدکربن 2% کاهش می‌یابد و با کاهش پیچیدگی اقتصادی، انتشار دی‌اکسیدکربن 12%  و 1% در بلندمدت و کوتاه‌مدت افزایش می‌یابد. قابل ذکر است که با توجه به پایین بودن میزان پیچیدگی اقتصادی در ایران، این شاخص ضریب کوچک‌تری را نسبت به سایر متغیرها دارد؛ هم‌چنین اثر تکانه‌های مثبت و منفی تولید ناخالص داخلی بر انتشار دی‌اکسیدکربن در بلندمدت در ایران متقارن است، درحالی‌که اثر تکانه‌های مثبت و منفی پیچیدگی اقتصادی بر انتشار دی‌اکسیدکربن نامتقارن است. قابل ذکر است اثر تکانۀ منفی پیچیدگی اقتصادی بر انتشار دی‌اکسیدکربن بیش از اثر تکانۀ مثبت پیچیدگی اقتصادی است.  

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The Relationship between Economic Complexity and Carbon Dioxide Emissions in Iran Using NARDL Model

نویسندگان [English]

  • Hamid Lalkhezri
  • Malihe Ashena
Assistant Professor, Department of Economics, Faculty of Humanities, Bozorgmehr University of Qaenat, Qaenat, Iran
چکیده [English]

The undesirable impacts of climate change affect not only the environment, but all sectors of the society and the economy around the world. Technological advances are one of the factors that can reduce pollutants emissions relative to the amount of economic production. The index of economic complexity is one of the indicators that show the level of knowledge and skills required in the production of goods and is a measure of economic development. In this study, the nonlinear relationship between economic complexity index and carbon dioxide emissions has been investigated using a nonlinear autoregressive distributed lag (NARDL) model during 1971-2018. The results of the model indicate that by an increase in economic complexity, carbon dioxide emissions decrease about 2 percent, and by a decrease in economic complexity, carbon dioxide emissions increase about 12 and 1 percent in the long and short term, respectively. It is noteworthy that due to the low level of economic complexity in Iran, this index has a smaller coefficient than other variables. Also, the results show that the effect of positive and negative shocks of GDP on carbon dioxide emissions in the long term in Iran is symmetric, while the effect of positive and negative shocks of economic complexity on carbon dioxide emissions is asymmetric. It should be noted, the effect of the negative shocks of economic complexity on carbon dioxide emissions is greater than the positive shocks.

کلیدواژه‌ها [English]

  • Economic Complexity
  • Energy Intensity
  • Pollution Emissions
  • Iran
  • Asymmetric Effects

مراجع

- اسدی، علی؛ اسماعیلی، میثم؛ بخشور، فرجاد؛ و صادقپور، عسل، (1398). «بررسی عوامل موثر بر مصرف انرژی در ایران (با تأکید بر متغیر توسعۀ مالی)». فصلنامۀ سیاست های مالی واقتصادی، ۷ (۲۵)، 177-151.
- کهنسال، محمدرضا؛ و شایان‌مهر، سمیرا، (1395). «آثار متقابل مصرف انرژی، رشد اقتصادی و آلودگی محیط‌زیست: کاربرد الگوی معادلات هم‌زمان فضایی داده‌های تابلویی». پژوهشنامۀ اقتصاد انرژی ایران، 5 (19)، 216-179.
- کهنسال، محمدرضا؛ و بهرامی نسب، مهسا، (1398). «ارزیابی رابطه مصرف انرژی و آلودگی با رشد اقتصادی در راستای سیاست‌های کلی محیط‌زیست». سیاست‌های راهبردی و کلان، 7 (28)، 525-500.
- نجاتی، مهدی؛ باوقار زعیمی، پگاه؛ و جلایی، عبدالمجید، (1398). «بررسی اثر رشد تولیدات و مصرف انرژی بر انتشار دی­اکسیدکربن با تأکید بر بخش‌های مختلف اقتصادی ایران». نشریۀ علمی جغرافیا و برنامه‌ریزی، 23 (69)، 282-259.
 
 
- Adedoyin, F.; Agboola, Ph.; Ozturk, I.; Bekun, F. & Agboola, M. (2021). “Environmental Consequences of Economic Complexities in the EU Amidst a Booming Tourism Industry: Accounting for the Role of Brexit and other Crisis Events”. Journal of Cleaner Production, 305: 1-10.
- Ahmad, M..; Majeed, A.; Huang, B., (2021). “An environmental impact assessment of economic complexity and energy consumption: Does institutional quality make a difference?”. Environmental Impact Assessment Review, 89: 1-9.
- Ang, J. B., (2007). “CO2 Emissions, Energy Consumption, and Output in France”. Energy Policy, 35: 4772–4778.
- Apergis, N. & Payne, J. E., (2009). “Energy Consumption and Economic Growth:
Evidence from the Commonwealth of Independent States”. Energy Economics,
31: 641–647
- Asadi, A.; Esmaili, T. M.; Bakhshur, F. & Sadeghpur, A., (2019). “Investigation of Factors Affecting Energy Consumption in Iran (with Emphasis on Financial Development Variable)”. Quarterly Journal of Fiscal and Economic Policies, 7(25): 151-177, (In Persian).
- Atlas of Economic Complexity. Available online: https://atlas.cid.harvard.edu/countries/
- Bale, C. S. E.; Varga, L. & Foxon, T. J., (2015). “Energy and Complexity: New Ways forward”. Appl. Energy, 138: 150–159
- Buhari, D.; Lorente, D, B. & Nasir, M. A., (2020). “European Commitment to COP21 and the Role of Energy Consumption, FDI, Trade and Economic Complexity in Sustaining Economic Growth”.  Journal of Environmental Management, 273 (2): 1-10.
- Can, M. & Gozgor, G., (2017). “The Impact of Economic Complexity on Carbon Emissions: Evidence from France”. Environ Sci Pollut Res, 24 (19): 16364–16370.
- Chu, LK., (2020). “Economic Structure and Environmental Kuznets Curve Hypothesis: New Evidence from Economic Complexity”. Applied Economics Letters, 28 (7): 612-616.
- Danish, U. R., (2020). “The Pathway Toward Pollution Mitigation: Does Institutional Quality Make a Difference?”. Business Strategy and the Environment, 29(8): 3571-3583.
- Dinda, S., (2004). “Environmental Kuznets Curve Hypothesis: A Survey”. Ecological Economics, 49(4): 431–455.
- Dogan, B.; Driha, O. M.; Balsalobre Lorente, D. & Shahzad, U., (2020). “The Mitigating Effects of Economic Complexity and Renewable Energy on Carbon Emissions in Developed Countries”. Sustainable Development, 1 (1): 1-12. https://doi.org/10.1016/j.jenvman.2020.110148.
- Dogan, B.; Saboori, B. & Can, M., (2019). “Does Economic Complexity Matter
for Environmental Degradation? An Empirical Analysis for Different Stages of Development”. Environmental Science and Pollution Research, 26(31): 31900– 31912.
- Dong, Zh.; Chen, W. & Wang, Sh., (2020). “Emission Reduction Target, Complexity and Industrial Performance”. Journal of Environmental Management, 260 (1).
- Dong, Zh.; Chen, W. & Wang, Sh., (2020).” Emission Reduction Target, Complexity and Industrial Performance”. Journal of Environmental Management, 260 (1): doi.org/10.1016/j.jenvman.2020.110148.
- Fang, J.; Gozgor, G.; Mahalik, M. K.; Padhan, H. & Xu, R., (2021). “The Impact of Economic Complexity on Energy Demand in OECD Countries”. Environmental Science and Pollution Research, 28: 33771-33780.
- Golpîra, H.; Khan, S. A. R. & Zhang, Y., (2018). “Robust Smart Energy Efficient Production Planning for a General Job-Shop Manufacturing System under Combined Demand and Supply Uncertainty in the Presence of Grid-Connected Microgrid”. Journal of Cleaner Production, 202: 649-665.
- Grossman, GM. & Krueger, AB., (1991). “Environmental Impacts of a North American Free Trade Agreement”. NBER Working Papers 3914, National Bureau of Economic Research, Inc.
- Haseeb, A.; Xia, E.; Baloch M.A. & Abbas, K., (2018). “Financial Development, Globalization, and CO2 Emission in the Presence of EKC: Evidence from BRICS Countries”. Environmental Science and Pollution Research, 25(31): 31283– 31296.
- Hausmann, R.; Hidalgo, CA., Bustos, S.; Coscia, M.; Chung, S.; Jimenez, J.; Simoes A. & Yildirim, M., (2011). The Atlas of economic complexity. Puritan Press, Cambridge.
- Hidalgo, C. A., (2021). “Economic Complexity Theory and Applications”. Nature Reviews Physics, 3: 92-113. https://doi.org/10.1038/s42254-020-00275-1.
- Hidalgo, CA. & Hausmann, R., (2009). “The Building of Economic Complexity”. Proceedings of the National Academy of Sciences of the United States of America (PNAS): 106 (26): 10570–10575.
- Ikram, M.; Xia, W.; Fareed, Z.; Shahzad, U. & Zahid Raigh, M., (2021). “Exploring The Nexus between Economic Complexity, Economic Growth and Ecological Footprint: Contextual Evidences From Japan”. Sustainable Energy Technologies and Assessments, 47. https://doi.org/10.1016/j.seta.2021.101460
- Khan, S. A. R.; Jian, C.; Zhang, Y.; Kumar, A. & Sharif, A., (2019). “Environmental, Social and Economic Growth Indicators Spur Logistics Performance: from the Perspective of South Asian Association for Regional Cooperation Countries”. Journal of Cleaner Production, 214: 1011-1023.
- Kohansal, M. & Bahraminasab, M., (2020). Evaluating the Relationship between Energy Consumption and Pollution with Economic Growth in Line with Overall Environmental”. Iranian Energy Economy Research Journal, 5 (19): 179-216.
- Kohansal, M. & Shayanmehr, S., (2016). “The Interplay between Energy Consumption, Economic Growth and Environmental Pollution: Application of Spatial Panel Simultaneous-Equations Model”. Iranian Energy Economics, 5(19): 179-216, (In Persian).
- Mealy, P. & Teytelboym, A.,)2020(. “Economic Complexity and The Green Economy”. Research Policy. https://doi.org/10.1016/j.respol.2020.103948.
- Minondo, A. & Requena-Silvente F., (2013). “Does Complexity Explain the Structure of Trade?”. Canadian Journal of Economics, 46(3): 928–955.
- Nawaz, K.; Lahiani, A. & Roubaud, D., (2020). “Do Natural Resources Determine Energy Consumption in Pakistan? The Importance of Quantile Asymmetries”. The Quarterly Review of Economics and Finance, https://doi.org/10.1016/j.qref.2020.10.003
- Neagu, O. & Teodoru, M. C., (2019). “The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries”. Sustainability, 11(2): 497-526.
- Neagu, O., (2019). “The Link between Economic Complexity and Carbon Emissions in the European Union countries: A Model based on the Environmental Kuznets Curve (EKC) Approach”. Sustainability, 11(17): 1-27.
- Nejati, M.; Bavaghar Zaimi, P. & Jalaee, A., (2019). “The Investigation of The Impacts of Economic Growth and Energy Consumption on Carbon Dioxide emission in economic sections economic of Iran”. Geography and Planning, 23(69): 259-282, (In Persian).
- Pata, U. K., (2020). “Renewable and Non-Renewable Energy Consumption, Economic Complexity, CO2 Emissions, and Ecological Footprint in the USA:
Testing the EKC Hypothesis with a Structural Break”. Environmental Science and Pollution Research, 28: 846-861.
- Pata, U., K. (2018). “The Effect of Urbanization and Industrialization on Carbon Emissions in Turkey: Evidence from ARDL Bounds Testing Procedure”. Environmental Science and Pollution Research, 25(8): 7740–7747.
- 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.
- Shahbaz, M.; Nasir, MA. & Roubaud, D., (2018). “Environmental Degradation in France: The Effects of FDI, Financial Development, and Energy Innovations”. Energy Economics, 74(C): 843–857.
- Shahzad, U., )2020(. “Environmental Taxes, Energy Consumption, and Environmental Quality: Theoretical Survey with Policy Implications”. Environmental Science and Pollution Research, 27: 24848–24862. https://doi.org/10.1007/s11356-020-08349-4
- Shahzad, U.; Fareed, Z.; Shazad, F. & Shahzad, K., (2021). “Investigating the Nexus between Economic Complexity Energy Consumption and Ecological Footprint for the United States: New Insights from Quantile Methods”. Journal of Cleaner Production, 279. https://doi.org/10.1016/j.jclepro.2020.123806
- Shin, Y.; Yu, B. & Greenwood-Nimmo, M., (2014). “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework”. In: R. C. Sickles, & W. C. Horrace (Eds.): Festschrift in Honor of Peter Schmidt (Pp: 281-314). New York, NY: Springer (Springer, New York).
- Sun, W.-Q.; Cai, J.-J.; Mao, H.-J. & Guan, D.-J., (2011). “Change in Carbon Dioxide (CO2) Emissions from Energy Use in China's Iron and Steel Industry”. Journal of Iron and Steel Research International, 18: 31-36.
- Swart, J. & Brinkmann, L., (2020). “Economic Complexity and the Environment: Evidence from Brazil”.  Universities and Sustainable Communities: meeting the goals of the agenda 2030, Part of the World Sustainability Series book series, 3-45.
- Sweet, C. & Maggio, DSE., (2015). “Do Stronger Intellectual Property Rights Increase Innovation?”. World Development, 66: 665–677.
- Wang, A. & Lin, B., (2017). “Assessing CO2 emissions in China’s commercial sector: Determinants and reduction strategies”. Journal of Cleaner Production, 164: 1542–1552.
- World Bank. World Development Indicators Online Database. )2020(. Available online: https://databank. worldbank.org/source/world-development indicators.
فصلنامه مطالعات اقتصادی کاربردی ایران
دوره 11، شماره 42
شهریور 1401
صفحه 251-277

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