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ÜRETKEN KAPASİTENİN EKONOMİK BÜYÜME ÜZERİNE ETKİSİ: MM-QR'DAN KANITLAR

Yıl 2025, Cilt: 21 Sayı: 1, 78 - 95, 26.03.2025

Öz

Bu çalışma, 2000-2022 yılları arasında BRICS ülkelerinde fiziki sermaye, işgücü ve üretken kapasitenin ekonomik büyüme üzerindeki uzun vadeli etkisini incelemektedir. Bu amaçla eşbütünleşme ilişkisi kurulmuş ve uzun dönem katsayıları Moment Kantil Regresyon Yöntemi (MM-QR) kullanılarak elde edilmiştir. Sonuçlar, ekonomik büyümenin tüm kantillerde fiziki sermaye ve işgücü tarafından istatistiksel olarak anlamlı ve pozitif olarak etkilendiğini göstermektedir. Bununla birlikte, kantil seviyesi arttıkça pozitif etkinin azaldığı görülmüştür. Araştırmanın odak noktası olan Üretken Kapasite Endeksi'nin ekonomik büyüme üzerinde genel olarak olumlu bir etkiye sahip olduğu; ancak alt kantil gruplarında (0,1, 0,2 ve 0,3) istatistiksel olarak anlamlı olmadığı tespit edilmiştir. PCI'ın olumlu etkisi, 0,8'lik kantil haricinde, üst kantil gruplarında kantil seviyesi arttıkça güç kazanmaktadır. Bu araştırma, BRICS ülkelerindeki ekonomik büyümenin dinamiklerine ilişkin yeni bir bakış açısı sunarak mevcut literatüre önemli bir katkı sağlamaktadır. Üretken kapasitenin kantil düzeyindeki etkilerinin incelenmesi politika yapıcılar için özellikle faydalı olabilir. Bulgular, çalışmanın bu disiplinde ilklerden biri olması nedeniyle değerlidir.

Kaynakça

  • Anwar, A., Siddique, M., Dogan, E., & Sharif, A. (2021). The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from Method of Moments Quantile Regression. Renewable Energy, 164, 956-967.
  • Barro, R.J. (2013). Education and economic growth. Annals of Economics and Finance, 14(2), 301-328.
  • Binder, M., & Coad, A. (2011). From Average Joe's happiness to Miserable Jane and Cheerful John: Using quantile regressions to analyze the full subjective well-being distribution. Journal of Economic Behavior & Organization, 79(3), 275-290.
  • Blomquist, J., & Westerlund, J. (2013). Testing slope homogeneity in large panels with serial correlation. Econ Lett, 121, 374-378.
  • Breitung, J. (2005). A Parametric approach to the estimation of cointegration vectors in panel data. Economet Rev., 24(2), 151-173.
  • Breusch, T.S., & Pagan, A.R. (1980) The LM test and its applications to model specification in econometrics. Rev Econ Stud., 47, 239-254.
  • Butkiewicz, J. L., & Yanikkaya, H. (2006). Institutional quality and economic growth: Maintenance of the rule of law or democratic institutions, or both?. Economic Modelling, 23(4), 648-661.
  • Canay, I. A. (2011). A simple approach to quantile regression for panel data. The Econometrics Journal, 14(3), 368-386.
  • Cutcu, I., Cil, D., Karis, C., & Kocak, S. (2024). Determining the green technology innovation accelator and natural resources towards decarbonization for the EU countries: Evidence from MMQR. Environmental Science and Pollution Research, 31(12), 19002-19021.
  • Dayıoğlu, T., & Aydın, Y. (2020). Relationship between economic growth, unemployment, inflation and current account balance: Theory and case of Turkey. Linear and Non-Linear Financial Econometrics-Theory and Practice.
  • Doğan, 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.
  • Esen, Ö., Kantarcı, T., & Değiş, M. (2023). The impact of education expenditures on economic growth in Turkey: Evidence from the ARDL bounds testing approach. Journal of Recycling Economy & Sustainability Policy, 2(1), 1-6.
  • Freire, C. (2011). Productive capacities in Asia and the Pacific. MPDD Workıng Papers, WP/11/17.
  • Gerelmaa, L., & Kotani, K. (2016). Further investigation of natural resources and economic growth: Do natural resources depress economic growth? Resources Policy, 50, 312-321.
  • Gnangnon S. K. (2021a). Effect of productive capacities on economic complexity: Do aid for trade flows matter? Journal of Economic Integration, 36(4), 626–688.
  • Gnangnon, S. K. (2021b). Productive capacities, economic growth and economic growth volatility in developing countries: Does structural economic vulnerability matter? Journal of International Commerce, Economics and Policy, 2550001.
  • Gnangnon, S. K. (2023). Productive capacities, structural economic vulnerability and fiscal space volatility in developing countries. KDI Journal of Economic Policy, 45(3), 25-48.
  • Göger, K. (2022). Effects of productive capacities on economic growth: Panel data analysis on OPEC countries. Dıscussıons Between Economıc Agents: Global Problems, 5.
  • Granger, C.W. (2003). Some aspects of causal relationships. J Economet, 112(1), 69–69.
  • Greenwood, J., & Seshadri, A. (2005). Technological progress and economic transformation. In P. Aghion, & S. Durlauf (Eds.), Handbook of Economic Growth (vol. 1B, 1225-1273). Amsterdam & New York: North Holland.
  • Guo, R., & Madni, G. R. (2024). Encirclement of productive capacities and institutions in context of sustainable development. Plos one, 19(3), e0297350.
  • Herrendorf, B., Rogerson R., & Valentinyi, A. (2014). Growth and structural transformation. InP. Aghion, & S. Durlauf (Eds.), Handbook of Economic Growth (vol. 2, pp. 855–941). Amsterdam & New York: North Holland.
  • Hieu, V. M., & Mai, N. H. (2023). Impact of renewable energy on economic growth? Novel evidence from developing countries through MMQR estimations. Environmental Science and Pollution Research, 30(1), 578-593.
  • Kartal, M. T., Kirikkaleli, D., & Ayhan, F. (2023). Nexus between non‐performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach. International Journal of Finance & Economics, 28(2), 1250-1260.
  • Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 33-50.
  • Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143-156.
  • Le Clech, N. A. (2023). Productive capacity and international competitiveness: Evidence from Latin America and Caribbean countries. Empirica, 50(3), 695-724.
  • Li, B., Liu, Q., Li, Y., & Zheng, S. (2023). Socioeconomic productive capacity and renewable energy development: Empirical insights from BRICS. Sustainability, 15(7), 5986.
  • Li, X., Ozturk, I., Majeed, M.T., Hafeez, M., & Ullah, S. (2022). Considering the asymmetric effect of financial deepening on environmental quality in BRICS economies: Policy options for the green economy. J. Clean. Prod., 331, 129909.
  • Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173.
  • Mandala, P. S. (2024). Disparities in productive capacities and development in Uttar Pradesh: A district-level study. South Indıa Journal Of Socıal Scıences, 22(1 March), 1-11.
  • Manga, M., Bal, H., Algan, N., & Kandır, E. D. (2015). Beşeri sermaye, fiziksel sermaye ve ekonomik büyüme ilişkisi: Brics ülkeleri ve Türkiye örneği. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 24(1), 45-60.
  • Oluc, I., Ben Jebli, M., Can, M., Guzel, I., & Brusselaers, J. (2023). The productive capacity and environment: Evidence from OECD countries. Environmental Science and Pollution Research, 30(2), 3453-3466.
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper Series No. 1229; IZA Discussion Paper No. 1240. Available at SSRN: http://ssrn. com/abstract=572504
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. J Appl Econom. https://doi.org/10. 1002/jae.951
  • Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias-adjusted LM test of error cross section independence. Economet J, 11, 105–127.
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. J Economet, 142(1), 50–93.
  • Prendı, L., Borakaj, D., Merko, F., & Canıa, L. (2022). The link between productive capacities and living standards in the Balkan Countries. Specialusis Ugdymas, 1(43), 1288-1297.
  • Roedyhantoro, T., & Cahyono, E. F. (2018). Pengaruh instrumen moneter konvensional dan instrumen moneter syariah terhadap produk domestik bruto periode 2012-2016. Jurnal Ekonomi Syariah Teori Dan Terapan, 5(5), 362–376.
  • Sarkodie, S. A., & Strezov, V. (2019). Effect of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries. Science of the total environment, 646, 862-871.
  • Shiferaw, A. (2017). Productive capacity and economic growth in Ethiopia. United Nations, Department of Economics and Social Affairs.
  • Teixeira, A. A., & Queirós, A. S. (2016). Economic growth, human capital and structural change: A dynamic panel data analysis. Research policy, 45(8), 1636-1648.
  • UNCTAD (2020). UNCTAD productive capacities index. Focus on Landlocked Developing Countries. United Nations. eISBN: 978-92-1-005435-5 12.
  • UNCTAD (2006). The least developed countries report 2006: Developing Productive Capacities. 2006, United Nations Geneva.
  • Wang, Y., & Liu, S. (2016). Education, human capital and economic growth: Empirical research on 55 countries and regions (1960-2009). Theoretical Economics Letters, 6(2), 347-355.
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxf Bull Econ Stat, 69(6), 709–748.
  • Wolff, E. N. (2000). Human capital investment and economic growth: Exploring the cross-country evidence. Structural Change and Economic Dynamics, 11(4), 433-472.
  • Wooldridge, J. M. (2015). Introductory econometrics: A modern approach (5th ed.). Cengage Learning.
  • Yii, K. J., Bee, K. Y., Cheam, W. Y., Chong, Y. L., & Lee, C. M. (2018). Is transportation infrastructure important to the One Belt One Road (OBOR) initiative? Empirical evidence from the selected Asian countries. Sustainability, 10(11), 4131.
  • Zhang, D., Ozturk, I., & Ullah, S. (2022). Institutional factors-environmental quality nexus in BRICS: A strategic pillar of governmental performance. Econ. Res. -Ekon. Istraživanja, 35, 5777–5789.
  • Zhou, A., & Li, J. (2019). Heterogeneous role of renewable energy consumption in economic growth and emissions reduction: Evidence from a panel quantile regression. Environmental Science and Pollution Research, 26, 22575-22595.

EFFECTS OF PRODUCTIVE CAPACITIES ON ECONOMIC GROWTH: EVIDENCE FROM MM-QR

Yıl 2025, Cilt: 21 Sayı: 1, 78 - 95, 26.03.2025

Öz

This study examines the long-term impact of physical capital, labor, and productive capacity on economic growth in the BRICS countries from 2000 to 2022. The cointegration relationship was established for this purpose, and the long-term coefficients were derived using the Moment Quantile Regression Method (MM-QR). The results indicate that economic growth is statistically significant and positively influenced by physical capital and labor in all quantiles. Nevertheless, it was noted that the quantile level increased, resulting in a decrease in the positive effect. The Productive Capacity Index, which is the focal point of the investigation, has a generally beneficial impact on economic growth; however, it was not determined to be statistically significant in the lower quantile groups (0.1, 0.2, and 0.3). With the exception of the 0.8 quantile, the PCI's positive impact gains strength as the quantile level increases in the upper quantile groups. This research makes a substantial contribution to the existing body of literature by offering a novel viewpoint on the dynamics of economic growth in the BRICS countries. Examining the implications of productive capacity at the quantile level can be particularly beneficial for policymakers. The findings are valuable due to the fact that the study is one of the first in this discipline.

Kaynakça

  • Anwar, A., Siddique, M., Dogan, E., & Sharif, A. (2021). The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from Method of Moments Quantile Regression. Renewable Energy, 164, 956-967.
  • Barro, R.J. (2013). Education and economic growth. Annals of Economics and Finance, 14(2), 301-328.
  • Binder, M., & Coad, A. (2011). From Average Joe's happiness to Miserable Jane and Cheerful John: Using quantile regressions to analyze the full subjective well-being distribution. Journal of Economic Behavior & Organization, 79(3), 275-290.
  • Blomquist, J., & Westerlund, J. (2013). Testing slope homogeneity in large panels with serial correlation. Econ Lett, 121, 374-378.
  • Breitung, J. (2005). A Parametric approach to the estimation of cointegration vectors in panel data. Economet Rev., 24(2), 151-173.
  • Breusch, T.S., & Pagan, A.R. (1980) The LM test and its applications to model specification in econometrics. Rev Econ Stud., 47, 239-254.
  • Butkiewicz, J. L., & Yanikkaya, H. (2006). Institutional quality and economic growth: Maintenance of the rule of law or democratic institutions, or both?. Economic Modelling, 23(4), 648-661.
  • Canay, I. A. (2011). A simple approach to quantile regression for panel data. The Econometrics Journal, 14(3), 368-386.
  • Cutcu, I., Cil, D., Karis, C., & Kocak, S. (2024). Determining the green technology innovation accelator and natural resources towards decarbonization for the EU countries: Evidence from MMQR. Environmental Science and Pollution Research, 31(12), 19002-19021.
  • Dayıoğlu, T., & Aydın, Y. (2020). Relationship between economic growth, unemployment, inflation and current account balance: Theory and case of Turkey. Linear and Non-Linear Financial Econometrics-Theory and Practice.
  • Doğan, 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.
  • Esen, Ö., Kantarcı, T., & Değiş, M. (2023). The impact of education expenditures on economic growth in Turkey: Evidence from the ARDL bounds testing approach. Journal of Recycling Economy & Sustainability Policy, 2(1), 1-6.
  • Freire, C. (2011). Productive capacities in Asia and the Pacific. MPDD Workıng Papers, WP/11/17.
  • Gerelmaa, L., & Kotani, K. (2016). Further investigation of natural resources and economic growth: Do natural resources depress economic growth? Resources Policy, 50, 312-321.
  • Gnangnon S. K. (2021a). Effect of productive capacities on economic complexity: Do aid for trade flows matter? Journal of Economic Integration, 36(4), 626–688.
  • Gnangnon, S. K. (2021b). Productive capacities, economic growth and economic growth volatility in developing countries: Does structural economic vulnerability matter? Journal of International Commerce, Economics and Policy, 2550001.
  • Gnangnon, S. K. (2023). Productive capacities, structural economic vulnerability and fiscal space volatility in developing countries. KDI Journal of Economic Policy, 45(3), 25-48.
  • Göger, K. (2022). Effects of productive capacities on economic growth: Panel data analysis on OPEC countries. Dıscussıons Between Economıc Agents: Global Problems, 5.
  • Granger, C.W. (2003). Some aspects of causal relationships. J Economet, 112(1), 69–69.
  • Greenwood, J., & Seshadri, A. (2005). Technological progress and economic transformation. In P. Aghion, & S. Durlauf (Eds.), Handbook of Economic Growth (vol. 1B, 1225-1273). Amsterdam & New York: North Holland.
  • Guo, R., & Madni, G. R. (2024). Encirclement of productive capacities and institutions in context of sustainable development. Plos one, 19(3), e0297350.
  • Herrendorf, B., Rogerson R., & Valentinyi, A. (2014). Growth and structural transformation. InP. Aghion, & S. Durlauf (Eds.), Handbook of Economic Growth (vol. 2, pp. 855–941). Amsterdam & New York: North Holland.
  • Hieu, V. M., & Mai, N. H. (2023). Impact of renewable energy on economic growth? Novel evidence from developing countries through MMQR estimations. Environmental Science and Pollution Research, 30(1), 578-593.
  • Kartal, M. T., Kirikkaleli, D., & Ayhan, F. (2023). Nexus between non‐performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach. International Journal of Finance & Economics, 28(2), 1250-1260.
  • Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 33-50.
  • Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143-156.
  • Le Clech, N. A. (2023). Productive capacity and international competitiveness: Evidence from Latin America and Caribbean countries. Empirica, 50(3), 695-724.
  • Li, B., Liu, Q., Li, Y., & Zheng, S. (2023). Socioeconomic productive capacity and renewable energy development: Empirical insights from BRICS. Sustainability, 15(7), 5986.
  • Li, X., Ozturk, I., Majeed, M.T., Hafeez, M., & Ullah, S. (2022). Considering the asymmetric effect of financial deepening on environmental quality in BRICS economies: Policy options for the green economy. J. Clean. Prod., 331, 129909.
  • Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173.
  • Mandala, P. S. (2024). Disparities in productive capacities and development in Uttar Pradesh: A district-level study. South Indıa Journal Of Socıal Scıences, 22(1 March), 1-11.
  • Manga, M., Bal, H., Algan, N., & Kandır, E. D. (2015). Beşeri sermaye, fiziksel sermaye ve ekonomik büyüme ilişkisi: Brics ülkeleri ve Türkiye örneği. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 24(1), 45-60.
  • Oluc, I., Ben Jebli, M., Can, M., Guzel, I., & Brusselaers, J. (2023). The productive capacity and environment: Evidence from OECD countries. Environmental Science and Pollution Research, 30(2), 3453-3466.
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper Series No. 1229; IZA Discussion Paper No. 1240. Available at SSRN: http://ssrn. com/abstract=572504
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. J Appl Econom. https://doi.org/10. 1002/jae.951
  • Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias-adjusted LM test of error cross section independence. Economet J, 11, 105–127.
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. J Economet, 142(1), 50–93.
  • Prendı, L., Borakaj, D., Merko, F., & Canıa, L. (2022). The link between productive capacities and living standards in the Balkan Countries. Specialusis Ugdymas, 1(43), 1288-1297.
  • Roedyhantoro, T., & Cahyono, E. F. (2018). Pengaruh instrumen moneter konvensional dan instrumen moneter syariah terhadap produk domestik bruto periode 2012-2016. Jurnal Ekonomi Syariah Teori Dan Terapan, 5(5), 362–376.
  • Sarkodie, S. A., & Strezov, V. (2019). Effect of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries. Science of the total environment, 646, 862-871.
  • Shiferaw, A. (2017). Productive capacity and economic growth in Ethiopia. United Nations, Department of Economics and Social Affairs.
  • Teixeira, A. A., & Queirós, A. S. (2016). Economic growth, human capital and structural change: A dynamic panel data analysis. Research policy, 45(8), 1636-1648.
  • UNCTAD (2020). UNCTAD productive capacities index. Focus on Landlocked Developing Countries. United Nations. eISBN: 978-92-1-005435-5 12.
  • UNCTAD (2006). The least developed countries report 2006: Developing Productive Capacities. 2006, United Nations Geneva.
  • Wang, Y., & Liu, S. (2016). Education, human capital and economic growth: Empirical research on 55 countries and regions (1960-2009). Theoretical Economics Letters, 6(2), 347-355.
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxf Bull Econ Stat, 69(6), 709–748.
  • Wolff, E. N. (2000). Human capital investment and economic growth: Exploring the cross-country evidence. Structural Change and Economic Dynamics, 11(4), 433-472.
  • Wooldridge, J. M. (2015). Introductory econometrics: A modern approach (5th ed.). Cengage Learning.
  • Yii, K. J., Bee, K. Y., Cheam, W. Y., Chong, Y. L., & Lee, C. M. (2018). Is transportation infrastructure important to the One Belt One Road (OBOR) initiative? Empirical evidence from the selected Asian countries. Sustainability, 10(11), 4131.
  • Zhang, D., Ozturk, I., & Ullah, S. (2022). Institutional factors-environmental quality nexus in BRICS: A strategic pillar of governmental performance. Econ. Res. -Ekon. Istraživanja, 35, 5777–5789.
  • Zhou, A., & Li, J. (2019). Heterogeneous role of renewable energy consumption in economic growth and emissions reduction: Evidence from a panel quantile regression. Environmental Science and Pollution Research, 26, 22575-22595.
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Panel Veri Analizi , Büyüme, Makro İktisat (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Cuma Demirtaş 0000-0002-1475-5530

Esra Soyu Yıldırım 0000-0003-1614-0967

Erken Görünüm Tarihi 24 Mart 2025
Yayımlanma Tarihi 26 Mart 2025
Gönderilme Tarihi 1 Ağustos 2024
Kabul Tarihi 5 Şubat 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 21 Sayı: 1

Kaynak Göster

APA Demirtaş, C., & Soyu Yıldırım, E. (2025). EFFECTS OF PRODUCTIVE CAPACITIES ON ECONOMIC GROWTH: EVIDENCE FROM MM-QR. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 21(1), 78-95. https://doi.org/10.17130/ijmeb.1526211