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بررسی اثر جهانی‌شدن بر انتشار دی‌اکسید‌کربن در منطقه منا: کاربرد رگرسیون فضایی | ||
| تحقیقات اقتصاد و توسعه کشاورزی ایران | ||
| دوره 52، شماره 1، فروردین 1400، صفحه 53-68 اصل مقاله (727.99 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijaedr.2020.280113.668739 | ||
| نویسندگان | ||
| علیرضا ثانی حیدری1؛ میلاد امینی زاده2؛ محمود صبوحی صابونی* 3؛ الناز خانزاده شادلوسفلی4؛ اندیشه ریاحی5 | ||
| 1دانشجوی دکتری، گروه اقتصاد کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران | ||
| 2دانشجوی دکتری اقتصاد کشاورزی، گروه اقتصاد کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران | ||
| 3استاد اقتصاد کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران | ||
| 4دانشجوی کارشناسی ارشد اقتصاد کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران | ||
| 5کارشناس ارشد اقتصاد کشاورزی، گروه اقتصاد کشاورزی، دانشگاه تهران،کرج، ایران | ||
| چکیده | ||
| انتشار دی‌اکسید کربن یکی از مؤلفه‌های گرمای جهانی است که امروزه موردتوجه بسیار قرارگرفته است. جهانی‌شدن به‌عنوان یک پدیده فراگیر در جهان جنبه‌های اقتصادی و اجتماعی افراد را تحت تأثیر قرار داده است. ازاین‌رو، با توجه به اینکه جهانی‌شدن و افزایش سهم کشورها در شبکه تجارت جهانی نیازمند فعالیتهای گسترده اقتصادی و تولیدی است، تردیدهایی درباره اثر جهانی‌شدن بر انتشار دی‌اکسید کربن وجود دارد. با توجه به نبود اجماع در این حوزه، پژوهش حاضر به دنبال پاسخ به این پرسش است که آیا جهانی‌شدن موجب افزایش انتشار دی‌اکسید کربن می‌شود یا اینکه کاهش آن را بهدنبال دارد. به‌منظور دستیابی به این هدف، از الگوی پانل فضایی استفاده شده است. نتایج پژوهش نشان داد که جهانی‌شدن اثری مثبت و معنی‌دار بر انتشار گاز دی‌اکسید کربن در منطقه منا دارد. بهعبارتی، روند رو به رشد جهانی شدن اقتصاد موجب انتشار بیشتر دی‌اکسید کربن شده است. همچنین، بهدلیل وجود رابطه فضایی میان کشورهای منطقه منا، پیشنهاد می‌شود کشورها جهت کاهش آثار مخرب فعالیتهای اقتصادی اقدام به همکاری بیشتر و سیاست‌های مشترک در این زمینه کنند. | ||
| کلیدواژه‌ها | ||
| جهانی‌شدن؛ دی‌اکسید کربن؛ منطقه منا؛ رگرسیون فضایی | ||
| عنوان مقاله [English] | ||
| Investigating the Impact of Globalization on CO2 Emissions in the MENA Region: Application of Spatial Regression | ||
| نویسندگان [English] | ||
| Ali Reza Sani Heidary1؛ Milad Aminizadeh2؛ Mahmood Sabouhi Sabouni3؛ Elnaz Khanzadeh Shadloosofla4؛ Andisheh Riahi5 | ||
| 1PhD Student, Agricultural Economics Department, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| 2PhD Student of Agricultural Economics, Agricultural Economics Department, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| 3Professor of Agricultural Economics, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| 4MSc student of Agricultural Economics, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| 5Master of Agricultural Economics, Agricultural Economics Department, University of Tehran, Karaj,, Iran | ||
| چکیده [English] | ||
| The CO2 emission is one of the components of global warming which has been more attention paid. Globalization as a phenomenon in the world has been affected the economic and social aspects of people. Therefore, given that globalization and the growing share of countries in the global trade network require extensive economic and productive activities, there is doubt about the impact of globalization on CO2 emissions. Considering the lack of consensus, the present study seeks to answer the question of whether globalization will increase or reduce CO2 emissions. To achieve the aim spatial panel data is used. The results of this study showed that globalization has a positive and significant effect on CO2 emissions in the MENA region. In other words, the growing trend of globalization has led to increasing CO2 emissions. Also, due to the spatial relationship between the MENA countries, it is suggested that countries begin to more cooperation and common policies in order to reduce the negative effects of economic activities on the environment. | ||
| کلیدواژه‌ها [English] | ||
| Globalization, CO2 emissions, MENA region, spatial regression | ||
| مراجع | ||
10. Baek, J., Cho, Y., & Koo, W. W. (2009). The environmental consequences of globalization: A country-specific time-series analysis. Ecological economics, 68(8-9): 2255-2264. 11. Belotti, F., Hughes, G., & Mortari, A. P. (2017). Spatial panel-data models using Stata. The Stata Journal, 17(1), 139-180. 12. Brizga, J., Feng, K., & Hubacek, K. (2014). Drivers of greenhouse gas emissions in the Baltic States: A structural decomposition analysis. Ecological Economics, 98: 22-28. 13. Burridge, P. (1981). Testing for a common factor in a spatial autoregression model. Environment and Planning A, 13(7): 795-800. 14. Chandran, V. G. R., & Tang, C. F. (2013). The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies. Renewable and Sustainable Energy Reviews, 24: 445-453. 15. Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied economics, 38(10): 1091-1110. 16. Elhorst, J. P. (2010). Applied spatial econometrics: raising the bar. Spatial economic analysis, 5(1): 9-28. 17. Elhorst, J. P. (2014). Dynamic spatial panels: models, methods and inferences. In Spatial Econometrics (pp. 95-119). Springer, Berlin, Heidelberg. 18. Farhani, S., Chaibi, A., & Rault, C. (2014). CO2 emissions, output, energy consumption, and trade in Tunisia. Economic Modelling, 38: 426-434. 19. Fathi, F. & Esmaeili, A. (2012). Relationship between Energy Consumption, Income and Carbon Dioxides Emission in Iran. Journal of Agricultural Economics and Development research, 43(2), 175-181. (In Farsi) 20. Hamit-Haggar, M. (2012). Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective. Energy Economics, 34(1): 358-364. 21. Halicioglu, F. (2009). An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3): 1156-1164. 22. 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. 23. Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1): 53-74. 24. Jalil, A., & Mahmud, S. F. (2009) Environment Kuznets curve for CO2 emissions: a cointegration analysis for China. Energy policy, 37(12): 5167-5172. 25. Jalil, A., & Feridun, M. (2011). The impact of growth, energy and financial development on the environment in China: a cointegration analysis. Energy Economics, 33(2): 284-291. 26. Jayanthakumaran, K., Verma, R., & Liu, Y. (2012). CO2 emissions, energy consumption, trade and income: a comparative analysis of China and India. Energy Policy, 42: 450-460. 27. Kargar Dehbidi, N. & Esmaeili, A. (2017). The effects of economic growth, energy consumption, trade openness and urbanization on environmental pollution in the MENA region during the period 1995- 2012. Journal of Agricultural Economics and Development research, 47(4), 815-824. (In Farsi) 28. Kohler, M. (2013). CO2 emissions, energy consumption, income and foreign trade: A South African perspective. Energy Policy, 63: 1042-1050. 29. Lean, H. H., & Smyth, R. (2010). CO2 emissions, electricity consumption and output in ASEAN. Applied Energy, 87(6): 1858-1864. 30. Lee, K. H., & Min, B. (2014). Globalization and carbon constrained global economy: a fad or a trend? Journal of Asia-Pacific Business, 15(2): 105-121. 31. Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1): 1-24. 32. Liu, Q., Wang, S., Zhang, W., Li, J., & Kong, Y. (2019). Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives. Applied energy, 236: 163-171. 33. LeSage, J.P, & Pace, R. K. (2009). Introduction to spatial econometrics. Chapman and Hall/CRC. 34. LeSage, J.P., & Pace, R.K. (2010). Spatial econometric models. In Handbook of applied spatial analysis (pp. 355–376). Springer, Berlin, Heidelberg. 35. 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. 36. Maddison, D. (2006). Environmental Kuznets curves: A spatial econometric approach. Journal of Environmental Economics and management, 51(2): 218-230. 37. Martínez-Zarzoso, I., & Maruotti, A. (2011). The impact of urbanization on CO2 emissions: evidence from developing countries. Ecological Economics, 70(7): 1344-1353. 38. Ozturk, I., & Acaravci, A. (2013). The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey. Energy Economics, 36: 262-267. 39. Ozcan, B. (2013). The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: a panel data analysis. Energy Policy, 62: 1138-1147. 40. Pao, H. T., & Tsai, C. M. (2010). CO2 emissions, energy consumption and economic growth in BRIC countries. Energy policy, 38(12): 7850-7860. 41. Pao, H. T., & Tsai, C. M. (2011). Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries. Energy, 36(1): 685-693. 42. Saboori, B., & Sulaiman, J. (2013). CO2 emissions, energy consumption and economic growth in Association of Southeast Asian Nations (ASEAN) countries: A cointegration approach. Energy, 55: 813-822. 43. Saboori, B., Sulaiman, J., & Mohd, S. (2012). Economic growth and CO2 emissions in Malaysia: a cointegration analysis of the environmental Kuznets curve. Energy policy, 51: 184-191. 44. Saboori, B., Sapri, M., & bin Baba, M. (2014). Economic growth, energy consumption and CO2 emissions in OECD (Organization for Economic Co-operation and Development)'s transport sector: A fully modified bi-directional relationship approach. Energy, 66: 150-161. 45. Shahbaz, M., Lean, H. H., & Shabbir, M. S. (2012). Environmental Kuznets curve hypothesis in Pakistan: cointegration and Granger causality. Renewable and Sustainable Energy Reviews, 16(5): 2947-2953. 46. Shahbaz, M., Mallick, H., Mahalik, M. K., & Loganathan, N. (2015). Does globalization impede environmental quality in India? Ecological Indicators, 52, 379-393. 47. Shahbaz, M., Shahzad, S. J. H., Mahalik, M. K., & Hammoudeh, S. (2018). Does Globalisation Worsen Environmental Quality in Developed Economies? Environmental Modeling & Assessment, 23(2): 141-156.(a) 48. Shahbaz, M., Lean, H. H., & Shabbir, M. S. (2012). Environmental Kuznets curve hypothesis in Pakistan: cointegration and Granger causality. Renewable and Sustainable Energy Reviews, 16(5): 2947-2953. 49. Shahbaz, M., Shahzad, S. J. H., & Mahalik, M. K. (2018). Is globalization detrimental to CO2 emissions in Japan? New threshold analysis. Environmental Modeling & Assessment, 23(5): 557-568.(b) 50. Shahbaz, M., Solarin, S. A., Mahmood, H., & Arouri, M. (2013). Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis. Economic Modelling, 35: 145-152.(a) 51. Shahbaz, M., Tiwari, A. K., & Nasir, M. (2013). The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa. Energy Policy, 61: 1452-1459.(b) 52. Shahbaz, M., Uddin, G. S., Rehman, I. U., & Imran, K. (2014). Industrialization, electricity consumption and CO2 emissions in Bangladesh. Renewable and Sustainable Energy Reviews, 31: 575-586. 53. Sharma, S. S. (2011). Determinants of carbon dioxide emissions: empirical evidence from 69 countries. Applied Energy, 88(1): 376-382. 54. Tahami Pour, M., Salami, H., Yazdani, S. & Chizari, A. (2014). Determining Spatial Dependency of Systematic Risk of Dryland Wheat Yield in Iran: Application of Spatial Autoregressive Models. Journal of Agricultural Economics and Development research, 44(3), 343-356. (In Farsi) 55. Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic geography, 46(sup1): 234-240. 56. World Bank. (2019). World Bank Database. https://data.worldbank.org/ 57. Xu, Z., Baloch, M. A., Meng, F., Zhang, J., & Mahmood, Z. (2018). Nexus between financial development and CO2 emissions in Saudi Arabia: analyzing the role of globalization. Environmental Science and Pollution Research, 25(28): 28378-28390. 58. Yang, W., Liu, Y. C., & Mai, C. C. (2017). How did Japanese exports evolve from 1995 to 2014? A spatial econometric perspective. Japan and the World Economy, 4: 50-58. 59. Yang, Y., Zhou, Y., Poon, J., & He, Z. (2019). China's carbon dioxide emission and driving factors: A spatial analysis. Journal of Cleaner Production, 211: 640-651. 60. You, W., & Lv, Z. (2018). Spillover effects of economic globalization on CO2 emissions: A spatial panel approach. Energy Economics, 73: 248-257. 61. Zhang, C., & Lin, Y. (2012). Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China. Energy policy, 49: 488-498. 62. Reed, M. R. (2001). International trade in agricultural products/por Michael R. Reed (No. 338.140973 R4.). | ||
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