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بررسی اثر صنعتی‌شدن و شهرنشینی بر مصرف انرژی با استفاده از رگرسیون آستانهای | ||
| نشریه محیط زیست طبیعی | ||
| دوره 74، شماره 4، اسفند 1400، صفحه 759-775 اصل مقاله (575.63 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jne.2022.326842.2247 | ||
| نویسندگان | ||
| سحر قاسمی1؛ احمد سلطانی ذوقی* 2 | ||
| 1دانشجوی کارشناسی ارشد، گروه اقتصاد انرژی، دانشکده علوم انسانی، دانشگاه تربیت مدرس، تهران، ایران | ||
| 2دانشجوی دکتری اقتصاد منابع طبیعی و محیط زیست، دانشکده کشاورزی، دانشگاه شیراز، شیراز، ایران | ||
| چکیده | ||
| مصرف سوخت های فسیلی و انتشار گازهای گلخانه ای، پیامدهای مختلف زیست‌محیطی، اجتماعی و اقتصادی را به‌دنبال دارد. نرخ شهرنشینی و رشد صنایع در کشورهای در حال توسعه، از آغاز قرن 21 رشد چشمگیری داشته و مصرف بالای سوخت های فسیلی و انتشار گازهای گلخانه ای را افزایش داده است. در این مطالعه عوامل مؤثر بر مصرف انرژی در دوره زمانی 1969 تا 2017 و با استفاده از مدل رگرسیون آستانهای به اجرا درآمد. متغیر نرخ رشد شهرنشینی به‌عنوان شاخصی از مهاجرت و نسبت ارزش افزوده بخش صنعت به تولید ناخالص داخلی کل به‌عنوان شاخصی از صنعتی شدن متغیرهای آستانه ای استفاده شدند. اثرات عوامل مختلف بر مصرف انرژی در آستانه های این دو متغیر، برآورد شد. نتایج آزمون، وجود دو آستانه برای هر یک از متغیرهای آستانه ای را تأیید نمود که در متغیر نرخ رشد شهرنشینی، مقادیر آستانه ای برابر 0/940و 1/416 درصد به دست آمد و برای متغیر نرخ صنعتی شدن این مقادیر آستانه ای برابر 3/687 و 3/808 درصد محاسبه شد. نتایج نشان داد که نرخ رشد شهرنشینی و جمعیت شهری، به‌ترتیب اثرات منفی و مثبت بر مصرف انرژی دارند. همچنین در شرایطی که رشد شهرنشینی و صنعتی‌شدن دامنه های میانه را طی میکنند، پدیدههای اجتماعی و اقتصادی نظیر مهاجرت و تمرکز سیستمهای مالی، اداری و اعتباری موجب تشدید اثرات این عوامل را به دنبال خواهد داشت. با افزایش مصرف انرژی ناشی از دو عامل فوق می‌توان انتظار داشت، افزایش تولید ناخالص داخلی به‌عنوان شاخصی اساسی از توسعه اقتصادی حاصل گردد. | ||
| کلیدواژه‌ها | ||
| انرژی؛ توسعه؛ شهرنشینی؛ رگرسیون آستانهای؛ صنعتی شدن | ||
| عنوان مقاله [English] | ||
| Investigating the effect of industrialization and urbanization on energy consumption using threshold regression | ||
| نویسندگان [English] | ||
| Sahar Ghasemi1؛ Ahmad Soltani-Zoghi2 | ||
| 1M.Sc. Student, Department of Energy Economics, Tarbiat Modares University, Tehran, Iran | ||
| 2PhD student in Natural Resources and Environmental economics, Department of Agricultural Economic, College of Agriculture, Shiraz University, Shiraz, Iran | ||
| چکیده [English] | ||
| Consumption of fossil fuels and greenhouse gas emissions have had various environmental, social, and economic consequences. The rate of urbanization and industrial growth in developing countries has increased dramatically since the beginning of the 21st century, leading to the high consumption of fossil fuels and greenhouse gas emissions. In this study, the factors affecting energy consumption from 1969 to 2017 were investigated using a threshold regression model. The Urban growth rate variable was used as an indicator of migration and the Ratio of value-added by the industrial sector to the total GDP as an indicator of the industrialization of threshold variables. Accordingly, the effects of different factors on energy consumption under the thresholds of these two variables were estimated. The test results confirmed the existence of two thresholds for each of the threshold variables. As for the Urban growth rate variable, threshold values of 0.940 and 1.416 percent were obtained; and for the Industrialization rate variable, these threshold values were equal to 3.687 and 3.808 percent. The results show that the growth rate of urbanization and urban population has negative and positive effects on energy consumption, respectively. The results also revealed that in a situation where the growth of urbanization and industrialization of the middle ranges are slowing down, social and economic phenomena such as migration and the concentration of financial, administrative, and credit systems would intensify the effects of these factors. By increasing energy consumption due to the above two factors, we can expect an increase in GDP as a critical indicator of economic development. | ||
| کلیدواژه‌ها [English] | ||
| Energy, Development, Urbanization, Threshold regression, Industrialization | ||
| مراجع | ||
Alizadeh. H., Faezipoor, M., Azizi, M., Ziaie, M., 2014. Determine the Parameters Affecting the Development of Iran's Exports of Wooden Furniture Using Analytic Hierarchy Process (AHP). Journal of Forest and Wood Products 66(4), 477-491.Barla, P., Miranda-Moreno, L.F., Lee-Gosselin, M., 2011. Urban Travel CO2 Emissions and Land Use: a Case Study for Quebec City. Transportation Research Part D: Transport and Environment 16(6), 423-428. Chai, Q.M., Xu, H.Q., 2015. Modeling Carbon Emission Peaking Pathways in China Based on Integrated Assessment Model IAMC. China Population, Resources and Environment 25(6), 37-46. Clean. 2017. Determinants of CO2 Emissions in Developing Countries using Bayesian Econometric Approach. Quarterly Journal of Applied Economics Theories 2.4, 145-168. Dong, F., Long, R., Yu, B., Wang, Y., Li, J., Wang, Y., Dai, Y., Yang, Q., Chen, H., 2018. How Can China Allocate CO2 Reduction Targets at the Provincial Level Considering Both Equity and Efficiency? Evidence From its Copenhagen Accord Pledge. Resources, Conservation and Recycling 130, 31-43. Dong, F., Wang, Y., Su, B., Hua, Y., Zhang, Y., 2019. The Process of Peak CO2 Emissions in Developed Economies: A Perspective of Industrialization and Urbanization. Resources, Conservation and Recycling 141, 61-75. Gosseries, A., 2004. Historical Emissions and Free-Riding. Ethical Perspectives 11(1), 36-60. Gregory, A.W., Hansen, B.E., 1996. Residual-Based Tests for Cointegration in Models with Regime Shifts. Journal of Econometrics 70(1), 99-126. Grossman, G.M., Krueger, A.B., 1991. Environmental impacts of a North American Free Trade Agreement (No. w3914). National Bureau of Economic Research. Hamidi Razi, D., Afshari, M., 2018. Investigation of Per Capita CO2 Dynamics in OPEC Countries (β and σ Convergence Approach). Journal of Environmental Science and Technology 19, 87-99. Han, J., Miao, J., Shi, Y., Miao, Z., 2021. Can the Semi-Urbanization of Population Promote or Inhibit the Improvement of Energy Efficiency in China?. Sustainable Production and Consumption 26, 921-932. Hansen, B. E., 1999. Threshold Effects in Non-Dynamic Panels: Estimation, Testing, and Inference. Journal of Econometrics 93(2), 345-368. He, J., 2014. Analysis of CO2 Emissions Peak: China’s Objective and Strategy. Chinese Journal of Population Resources and Environment 12(3), 189-198. He, J. K., 2014. An Analysis of China's CO2 Emission Peaking Target and Pathways. Advances in Climate Change Research, 5(4), 155-161. Kreinovich, V., Sriboonchitta, S., Chakpitak, N., (Eds.). 2017. Predictive Econometrics and Big Data (Vol. 753). Springer. Le, T. H., Chang, Y., Park, D., 2016. Trade Openness and Environmental Quality: International Evidence. Energy Policy 92, 45-55. Li, K., Lin, B., 2015. Impacts of Urbanization and Industrialization on Energy Consumption/CO2 Emissions: Does the Level of Development Matter?. Renewable and Sustainable Energy Reviews 52, 1107-1122. Liu, S., Wang, Y., Hu, A., 2009 The Effect of Western Development Program and Regional Economic Convergence in China. Economic Research Journal 9, 94-105. Luo, G., Weng, J. H., Zhang, Q., Hao, Y., 2017. A Reexamination of the Existence of Environmental Kuznets Curve for CO 2 Emissions: Evidence from G20 Countries. Natural Hazards 85(2), 1023-1042. Majeed, M. T., Tauqir, A., 2020. Effects of Urbanization, Industrialization, Economic Growth, Energy Consumption, Financial Development on Carbon Emissions: an Extended STIRPAT Model for Heterogeneous Income Groups. Pakistan Journal of Commerce and Social Sciences (PJCSS) 14(3), 652-681. Maxwell, S., 2010. World Development Report 2010: Development and Climate Change. Meyers, R. A., (Ed.). 2010. Complex Systems in Finance and Econometrics. Springer Science Business Media. Mirza-hosseini, A., 2014. Environmental and Economic Evaluation of Independent Park Solar Lights Launch at Islamic Azad University, Science and Research Branch, Tehran. Sustainability, Development and the Environment 1, 1-11. Pacione, M., 2013. Urban geography: A Global Perspective. Routledge. Qazvinian, M. Kiani, K., Dehghani, M. Zandi, Saeedi. J., 2019. Comparative Comparison of the Effects of Shocks in Energy Consumption on CO2 Emissions and Economic Growth in Iran and Selected MENA Countries. Journal of Economic Research and Development 9(33), 85-99. Ram R., 1986. Government Size and Economic Growth: A New Framework and Some Evidence from crosssection and Time-Series Data. The American Economic Review 76: 191-203. Robinson, S., Syrquin, M., World Bank., 1986. Industrialization and Growth: a Comparative Study. New York: Published for the World Bank [by] Oxford University Press. Shahbaz, M., Nasreen, S., Ahmed, K., Hammoudeh, S., 2017. Trade Openness–Carbon Emissions Nexus: The Importance of Turning Points of Trade Openness for Country Panels. Energy Economics, 61, 221-232. Stettler, J., 2015. The Discrete Threshold Regression Model (Doctoral dissertation, The Ohio State University). Tong, H., Lim, K. S., 2009. Threshold Autoregression, Limit Cycles and Cyclical Data. in Exploration of a Nonlinear World: an Appreciation of Howell Tong's Contributions to Statistics (pp: 9-56). Torabi, D. Khajavi Pour, A. Tarighi, S, Pakravan. M., 2015. The Effect of Energy Consumption, Economic Growth and International Business on Greenhouse Gas Emission in Iran. Journal of Economic Modeling 9(29), 63-84. Valadkhani, A., Smyth, R., Nguyen, J., 2019. Effects of Primary Energy Consumption on CO2 Emissions Under Optimal Thresholds: Evidence from Sixty Countries Over the last half century. Energy Economics. Wang, Y., Zhang, X., Kubota, J., Zhu, X., Lu, G., 2015. A Semi-Parametric Panel Data Analysis on the Urbanization-Carbon Emissions Nexus for OECD Countries. Renewable and Sustainable Energy Reviews 48, 704-709. WGII, I., 2007. Climate Change 2007: Impacts, Adaptation and Vulnerability. Working Group II, IPCC 4th Assessment Report, http://www. ipcc. ch. Xu, B., Lin, B., 2016. A Quantile Regression Analysis of China's Provincial CO2 Emissions: Where Does the Difference Lie?. Energy Policy 98, 328-342. Xu, B., Lin, B., 2017. What Cause a Surge in China's CO2 Emissions? a Dynamic Vector Autoregression Analysis. Journal of Cleaner Production 143, 17-26. York, R., Rosa, E. A., Dietz, T., 2003. STIRPAT, IPAT and ImPACT: Analytic Tools for Unpacking the Driving Forces of Environmental Impacts. Ecological Economics 46(3), 351-365. Yousefi, Sh, Afzali, F., Massoudi, M., 2016. Carbon Sequestration portion in global warming moderating (Case study: Shiraz city). Environmental Studies 42(2), 315-327. Zhang, X.P., Cheng, X.M., 2009. Energy Consumption, Carbon Emissions, and Economic Growth in China. Ecological Economics 68(10), 2706-2712. Zheng, S., Wang, R., Mak, T. M., Hsu, S. C., Tsang, D. C., 2021. How Energy Service Companies Moderate the Impact of industrialization and urbanization on Carbon Emissions in China?. Science of The Total Environment 751, 141610. Zhou, X., Zhang, J., Li, J., 2013. Industrial Structural Transformation and Carbon Dioxide Emissions in China. Energy Policy 57, 43-51. Zi, C., Jie, W., Hong-Bo, C., 2016. CO2 Emissions and Urbanization Correlation in China Based on Threshold Analysis. Ecological indicators, 61, 193-201.
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