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رابطه توسعه مالی-توسعه تکنولوژی انرژیهای تجدیدپذیر و نقش فراوانی منابع طبیعی: سیستم مالی توسعهیافته در مقابل کمتر توسعهیافته | ||
| پژوهشنامه اقتصاد انرژی ایران | ||
| دوره 14، شماره 53 - شماره پیاپی 1، دی 1403، صفحه 48-90 اصل مقاله (944.07 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22054/jiee.2024.75297.2030 | ||
| نویسنده | ||
| مجید آقایی* | ||
| دانشیار اقتصاد مالی و انرژی، دانشگاه مازندران، مازندران، ایران | ||
| چکیده | ||
| نقش سیستم مالی جهت تأمین نیاز سرمایهگذاری کلان برای توسعه تکنولوژی انرژیهای تجدیدپذیر جهت کاهش گازهای گلخانهای و امنیت انرژی بسیار با اهمیت است. رابطه بین توسعه مالی و توسعه تکنولوژی انرژیهای تجدیدپذیر تحت تأثیر ویژگیهای مختلف و ساختار اقتصادی کشورها قرار دارد. تأثیر فراوانی منابع طبیعی بر رابطه بین توسعه مالی و توسعه تکنولوژی انرژیهای تجدیدپذیر بر اساس میزان توسعه یافتگی سیستم مالی کشورها میتواند متفاوت باشد. در پژوهش حاضر، تأثیرگذاری توسعه مالی بر توسعه تکنولوژی انرژیهای تجدیدپذیر در دو گروه مختلف از کشورهای صاحب منابع طبیعی ( ۲۰ کشور توسعهیافته با سیستم مالی توسعهیافته و کمتر توسعهیافته ، ۲۵ کشور در حال توسعه با سیستم مالی توسعهیافته و کمتر توسعهیافته)، مورد بررسی قرار گرفته است. رابطه مذکور و عوامل مؤثر بر آن با استفاده از تخمین زن گشتاورهای تعمیم یافته دو مرحلهای «آرلانو و باند» و« بلوندل و باند» طی دوره زمانی 2000 تا 2021 انجام شده و صحت نتایج به دست آمده نیز با استفاده از تخمین زنهای «حداقل مربعات معمولی پویا» و «حداقل مربعات معمولی کاملا اصلاح شده» مورد تأیید قرار گرفته است. بر اساس نتایج، توسعه مالی در تمامی کشورهای مورد بررسی تأثیر مثبت بر توسعه تکنولوژی انرژیهای تجدیدپذیر داشته است. همچنین فروانی منابع طبیعی در کشورهای توسعهیافتۀ صاحب منابع طبیعی نه تنها موجب کاهش ظرفیت نصب تکنولوژی انرژیهای تجدیدپذیر نشده است، بلکه در کشورهای توسعهیافتۀ صاحب منابع طبیعی با بازارهای مالی توسعهیافته، موجب توسعه تکنولوژیهای انرژیهای تجدیدپذیر شده، بنابراین فرضیه نفرین منابع در این کشورها تأیید نشده است. پدیده نفرین منابع طبیعی در کشورهای در حال توسعه صاحب منابع طبیعی بهویژه با بازارهای مالی کمتر توسعهیافته در این دوره تأیید شده است. لذا میزان توسعه یافتگی سیستم مالی کشورهای برخوردار از منابع طبیعی یکی از مهم ترین پارامترهایی است که میتواند از بروز نفرین منابع در این کشورها جلوگیری کند. | ||
| کلیدواژهها | ||
| تکنولوژی تولید انرژیهای تجدیدپذیر؛ توسعه مالی؛ رانت منابع طبیعی؛ تخمین زن گشتاورهای تعمیم یافته | ||
| مراجع | ||
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آقایی، مجید و رضا قلیزاد، مهدیه.(۱۳۹۶). بررسی تأثیر عوامل بانکی و اقتصادی بر مطالبات معوق بانکهای دولتی در بلندمدت و کوتاهمدت. فصلنامه تحقیقات اقتصادی، ۵۲(۳)، ۴۹۹-۵۲۶. doi: 10.22059/jte.2017.63302 آقایی، مجید، رضا قلیزاده، مهدیه و عبدی، یونس. (۱۳۹۸). توسعه مالی و توسعه تکنولوژی انرژیهای تجدیدپذیر در بخشهای مختلف: کاربرد مدل پانل توبی. فصلنامه تحقیقات اقتصادی، ۵۴(۲)، ۲۵۳-۲۸۴. doi: 10.22059/jte.2019.71284 آقایی، مجید و سلمان، محمد. (۱۴۰۳). نقش ریسک سیستماتیک در رابطه توسعه مالی و توسعه تکنولوژی انرژیهای تجدیدپذیر: مقایسه کشورهای توسعهیافته و در حال توسعه تولیدکننده نفت. فصلنامه تحقیقات اقتصاد کلان، ۱۸(۳۹)، doi: 10.22080/iejm.2024.26479.2027 References Abdul, J. Mete, F. (2011). The impact of growth, energy and financial development on the environment in China: A congregation analysis. Journal of Energy Economics. 33 (2), 284-291. https://doi.org/10.1016/j.eneco.2010.10.003 Acemoghlu, D., Johnson, S. (2005). Unbundling institutions. Journal of Political Economy.113(5), 949-995. https://doi.org/10.1086/432166 Aghaei, M., & Rezagholizadeh2, M. (2017). Investigation the Long Run and Short Run Impact of Banking and Economic Factors on Public Bank’s None-Performing Loan. Journal of Economic Research (Tahghighat- E- Eghtesadi), 52(3), 499-526. doi: 10.22059/jte.2017.63302 [In Persian] Aghaei, M., rezagholizadeh, M., & abdi, Y. (2019). Financial Development and Renewable Energy Technology Development in Different Sectors: Application of Panel Tobit Model. Journal of Economic Research (Tahghighat- E- Eghtesadi), 54(2), 253-284. doi: 10.22059/jte.2019.71284 [In Persian] Aghaei, M., & salman, M. (2024). The Role of Systematic Risk in the Financial Development and Renewable Energy Technology Development Nexus: A Comparison of Developing and Developed Oil-Producing Countries. Macroeconomics Research Letter, 18(39), -. doi: 10.22080/iejm.2024.26479.2027 [In Persian] Ali, Q., Khan, M. T. I., & Khan, M. N. I. (2018). Dynamics between financial development, tourism, sanitation, renewable energy, trade and total reserves in 19 Asia cooperation dialogue members. Journal of cleaner production, 179, 114-131. https://doi.org/10.1016/j.jclepro.2018.01.066 Anton, S. Afloarei, A. (2020). The effect of financial development on renewable energy consumption. A panel data approach. Journal of renewable energy. 147, 330-338. https://doi.org/10.1016/j.renene.2019.09.005 Arellano, M., & Bond, S. (1991). Some tests of specification for panel Carlo application to data: evidence and an employment equation. The Review of Economic Studies, 58(2), 277-297. https://doi.org/10.2307/2297968 Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of econometrics, 68(1), 29-51. https://doi.org/10.1016/0304-4076(94)01642-D Arndt, C., Arent, D., Hartley, F., Merven, B., & Mondal, A. H. (2019). Faster than you think: Renewable energy and developing countries. Annual Review of Resource Economics, 11, 149-168. doi:10.1146/annurev-resource-100518-093759 Auty, R.M. (1993). Sustaining Development in Mineral Economies: The Resource Curse Thesis. Routledge, London. https://doi.org/10.4324/9780203422595 Badeeb, R. A., Lean, H. H., & Smyth, R. (2016). Oil curse and finance–growth nexus in Malaysia: The role of investment. Energy Economics, 57, 154-165. https://doi.org/10.1016/j.eneco.2016.04.020 Baltagi, B. H., Song, S. H., & Jung, B. C. (2001). The unbalanced nested error component regression model. Journal of Econometrics, 101(2), 357-381. https://doi.org/10.1016/S0304-4076(00)00089-0 Bhattacharya, M., Churchill, S. A., & Paramati, S. R. (2017). The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions. Renewable Energy, 111, 157-167. https://doi.org/10.1016/j.renene.2017.03.102 Blundell, R., & Bond, S. (2000). GMM estimation with persistent panel data: an application to production functions. Econometric reviews, 19(3), 321-340. https://doi.org/10.1080/07474930008800475 Bound, J., Jaeger, D. A., & Baker, R. M. (1995). Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. Journal of the American statistical association, 90(430), 443-450. https://doi.org/10.2307/2291055 Brunnschweiler, C. N. (2010). Finance for renewable energy: an empirical analysis of developing and transition economies. Environment and Development Economics, 15(03), 241-274 doi:10.2139/ssrn.1462207 Brown, J. Farrazi, S. Peterson, B. (2009). Financing innovation and economic growth: cash flow, external equity and 1990s R&D boom. Journal of Finance. 64 (1), 151-185. https://doi.org/10.1111/j.1540-6261.2008.01431.x Cardenas, L. M., Franco, C. J., & Dyner, I. (2016). Assessing emissions–mitigation energy policy under integrated supply and demand analysis: the Colombian case. Journal of Cleaner Production, 112, 3759-3773. https://doi.org/10.1016/j.jclepro.2015.08.089 Chang, S. C. (2015). Effects of financial development and income on energy consumption. Int. Rev. Econ. Financ. 35, 28-44. https://doi.org/10.1016/j.iref.2014.08.011 Charfeddine, L., & Kahia, M. (2019). Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: a panel vector autoregressive (PVAR) analysis. Renewable energy, 139, 198-213. https://doi.org/10.1016/j.renene.2019.01.010 Chen, P. Y., Chen, S. T., Hsu, C. S., & Chen, C. C. (2016). Modeling the global relationships among economic growth, energy consumption and CO2 emissions. Renewable and Sustainable Energy Reviews, 65, 420-431. https://doi.org/10.1016/j.rser.2016.06.074 Diamond, D. (1984). Financial intermediation and delegated monitoring. The review of economic studies. 51 (3), 393-414. https://doi.org/10.2307/2297430 Dogan, E., & Seker, F. (2016). The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renewable and Sustainable Energy Reviews, 60, 1074-1085. https://doi.org/10.1016/j.rser.2016.02.006 Dong, C. G. (2012). Feed-in tariff vs. Renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development. Energy policy, 42, 472-485. DOI: 10.1016/j.enpol.2011.12.014 Fangmin, L., & Jun, W. (2011). Financial system and renewable energy development: analysis based on different types of renewable energy situation. Energy Procedia, 5, 829-833. https://doi.org/10.1016/j.egypro.2011.03.146 Fei, L., Dong, S., Xue, L., Liang, Q., & Yang, W. (2011). Energy consumption-economic growth relationship and carbon dioxide emissions in China. Energy policy, 39(2), 568-574. https://doi.org/10.1016/j.enpol.2010.10.025 Gaies, B., Kaabia, O., Ayadi, R., Guesmi, K., & Abid, I. (2019). Financial development and energy consumption: Is the MENA region different? Energy Policy, 135, 111000. https://doi.org/10.1016/j.enpol.2019.111000 Green wood, J. Jovanovic,B. (1990). Financial deployment, growth and distribution of income. Journal of political economy. 98 (5, part 1), 1076-1107, B. (1990). Financial deployment, growth and distribution of income. Journal of political economy. 98 (5, part 1), 1076-1107. https://doi.org/10.1086/261720 Grossman, S. (1976). On the efficiency of competitive stock markets where trades have divers’ information. The Journal of Finance, 31(2), 573-585.https://doi.org/10.2307/2326627 Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148-161.https://doi.org/10.1111/1368-423X.00043 He, L. Lin, R. Zhang, z. Wang, D. Xia, Y. (2019). Can green financial development promote renewable energy investment efficiency? A consideration of bank credit. Journal of renewable energy. 143, (974-984).https://doi.org/10.1016/j.renene.2019.05.059 He, L. Zhang, L. Zhong, Zh. Wang, D. Wang, F.(2019). Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China. Journal of Cleaner Production. 208, 363-372. https://doi.org/10.1016/j.jclepro.2018.10.119 Henningsen, A., & Henningsen, G. (2019). Analysis of panel data using R. In Panel Data Econometrics (pp. 345-396). https://doi.org/10.1016/B978-0-12-814367-4.00012-5 Hsu, P.-H., Tian, X., & Xu, Y. (2014). Financial development and innovation: Cross-country evidence. Journal of Financial Economics, 112(1), 116–135.https://doi.org/10.1016/j.jfineco.2013.12.002 https://www.ren21.net/globalstatusreport/REN21_GSR_2010_full.pdf IEA (International Energy Agency). (2014). World energy investment outlook 2014 special report. IEA publication. IFC (International Finance Corporation), 2011. Climate finance: Engaging the Private Sector. IFC publication. Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74. https://doi.org/10.1016/S0304-4076(03)00092-7 Ji, Q. Zhang, D. (2019). How much does financial development contribute to renewable energy growth and upgrading of energy structure in China? Journal of Energy Policy. 128, 114-124. https://doi.org/10.1016/j.enpol.2018.12.047 Kao, C., & Chiang, M. H. (2001). On the estimation and inference of a cointegrated regression in panel data. In Nonstationary panels, panel cointegration, and dynamic panels. Adv. Econ. 15, 179–222 Khan, M. T. I., Yaseen, M. R., & Ali, Q. (2019). Nexus between financial development, tourism, renewable energy, and greenhouse gas emission in high-income countries: a continent-wise analysis. Energy Economics, 83, 293-310. https://doi.org/10.1016/j.eneco.2019.07.018 Kim, J. Park, K. (2016). Financial development and deployment of renewable energy technologies. Journal of Energy Economics. 92(2), 355-390. https://doi.org/10.1016/j.eneco.2016.08.012 Kim, J. Park, K. (2018). Effect of the clean development mechanism on the deployment of renewable energy: less developed and well-developed financial markets. Journal of Energy Economics. 75, 1-13. https://doi.org/10.1016/j.eneco.2018.07.034 Kutan, A. M. &Wyzan, M. L. (2005). Explaining the real exchange rate in Kazakhstan, 1996 to 2003: Is Kazakhstan vulnerable to the Dutch disease? Economic Systems, 29(2), 242-255. https://doi.org/10.1016/j.ecosys.2005.03.009 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. https://doi.org/10.1016/S0304-4076(01)00098-7 Levine, R. (1997). Financial development and economic growth: views and agenda. J. Econ. Lit. 35 (2), 688-726. Levine, R. (2005). Chapter 12 finance and growth: Theory and evidence. In Handbook of Economic Growth (865–934). https://doi.org/10.1016/S1574-0684(05)01012-9 Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics, 61(S1), 631-652. https://doi.org/10.1111/1468-0084.0610s1631 Minier, J.(2009). Opening a stock exchange. J. Dev. Econ. 90, 135-143. https://doi.org/10.1016/j.jdeveco.2008.10.002 Moradbeigi, M., & Law, S. H. (2016). Growth volatility and resource curse: Does financial development dampen the oil shocks? Resources Policy, 48, 97-103. https://doi.org/10.1016/j.resourpol.2016.02.009 Moradbeigi, M., & Law, S. H. (2017). The role of financial development in the oil-growth nexus. Resources Policy, 53, 164-172. https://doi.org/10.1016/j.resourpol.2017.06.016 Mundaca, G. (2017). How much can CO2 emissions be reduced if fossil fuel subsidies are removed? Energy Economics, 64, 91-104. https://doi.org/10.1016/j.eneco.2017.03.014 Myers, S. (1984). The capital structure puzzle. J. Finance. 39 (3), 575-592. https://doi.org/10.1111/j.1540-6261.1984.tb03646.x Nili, M., & Rastad, M. (2007). Addressing the growth failure of the oil economies: The role of financial development. The Quarterly Review of Economics and Finance, 46(5), 726-740. https://doi.org/10.1016/j.qref.2006.08.007 Paramati, S. Ummalla, M. Apergis, N. (2016). The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies. Journal of Energy Economics. 56, 29-41.https://doi.org/10.1016/j.eneco.2016.02.008 Pata, U. K. (2018). Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: testing EKC hypothesis with structural breaks. Journal of Cleaner Production, 187, 770-779.https://doi.org/10.1016/j.jclepro.2018.03.236 Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and statistics, 83(4), 727-731. https://doi.org/10.1162/003465301753237803 Pérez, K., González-Araya, M. C., & Iriarte, A. (2017). Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes. Energy Economics, 66, 290-302. https://doi.org/10.1016/j.eneco.2017.05.022 Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. SSRN Electronic Journal. https://dx.doi.org/10.2139/ssrn.572504 Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of applied econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951 Pham, L. (2019). Does financial development matter for innovation in renewable energy? Applied Economics Letters, 26(21), 1756-1761. https://doi.org/10.1080/13504851.2019.1593934 Rajan, R. Zingales, L. (1998). Financial Dependence and Growth. The American Economic Review, 88(3), 559–586. Badeeb, R. A., Lean, H. H., & Smyth, R. (2016). Oil curse and finance–growth nexus in Malaysia: The role of investment. Energy Economics, 57, 154-165.https://doi.org/10.1016/j.eneco.2016.04.020 Sach, J.D., Warner, A.M., (1999). The big push, natural resource. European Economic Review, 45, 827-838. Sachs, J. D., & Warner, A. M. (2001). The curse of natural resources. European economic review, 45(4-6), 827-838. https://doi.org/10.1016/S0014-2921(01)00125-8 Sathaye, J., Shukla, P. R., & Ravindranath, N. H. (2006). Climate change, sustainable development and India: Global and national concerns. Current science, 314-325. Smith, L. V., Leybourne, S., Kim, T. H., & Newbold, P. (2004). More powerful panel data unit root tests with an application to mean reversion in real exchange rates. Journal of Applied Econometrics, 19(2), 147-170. https://doi.org/10.1002/jae.723 Tang, A. Chiara, N. Taylor, J. E. (2012). Financing renewable energy infrastructure: formulation, pricing and impact of a carbon revenue bond. Journal of Energy Policy. 45, 691-703. https://doi.org/10.1016/j.enpol.2012.03.022 Viktorija, B. Dalius, T. (2014). Financing instruments and channel for the increasing production and consumption of renewable energy: Lithuanian case. Journal of Renewable and Sustainable Energy Reviews. 38, 256-279. https://doi.org/10.1016/j.rser.2014.05.039 Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709-748. https://doi.org/10.1111/j.1468-0084.2007.00477.x Yang, D. Chen, Zi. Yang, Y. Nie, p. (2019). Green financial policies and capital flows. Journal of Physics A. 522, 135-146. https://doi.org/10.1016/j.physa.2019.01.126 Zhang, D. Cao, H. Zou, P. (2016). Exuberance in China's renewable energy investment: rationality, capital structural and implication with firm level evidance. Journal of Energy Policy. 95, 468-478. https://doi.org/10.1016/j.enpol.2015.12.005 Zhang, S., Andrews-Speed, P., Zhao, X., & He, Y. (2013). Interactions between renewable energy policy and renewable energy industrial policy: A critical analysis of China's policy approach to renewable energies. Energy Policy, 62, 342-353. https://doi.org/10.1016/j.enpol.2013.07.063 Zhang, X., & Wang, Y. (2017). How to reduce household carbon emissions: A review of experience and policy design considerations. Energy Policy, 102, 116-124. https://doi.org/10.1016/j.enpol.2016.12.010 Zhang, Y. Li, W. Peng, J. (2015). Effect of creditor's power governance on enterprises investment efficiency-empirical evidence from China's listed enterprises. Finance. Res.07, 190-203.
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