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The Impact of Productive Capacity on Economic Development: Evidence from the MMQR and CCE Methods

Yıl 2024, Cilt: 8 Sayı: 4, 989 - 1008, 23.12.2024
https://doi.org/10.30586/pek.1529850

Öz

This study investigates the impact of productive capacity on economic development in high-income developing countries. The empirical analysis was conducted using annual data for the period 2000-2022. In the empirical analysis using panel data method, Method of Moments Quantile Regression (MMQR) and Common Correlated Error (CCE) estimators were used to find the effect of independent variables on economic development. Total productive capacity index and its components are used as the main independent variables. In addition, labor and capital variables are also included in the analysis as control variables. According to the MMQR analysis results, the total productive capacity index has a positive impact on economic development. Among its components, energy, human capital, information and communication technologies, natural capital, private sector and transportation variables are similarly found to increase economic development. However, structural change was found to have a negative impact on economic development and institutional structure was found to have no effect. The labor variable was found to have a decreasing effect on economic development, while the capital variable had an increasing effect. According to the results of CCE analysis, total productive capacity index, human capital and private sector variables among the main independent variables and physical capital variable among the control variables have a positive effect on economic development. Other variables did not have any significant effect on economic development. As a result, the application of a new analysis method suitable for the characteristics of the variables and the detailed investigation of the effect of the productive capacity index and its components, which is a relatively new variable used to represent productivity, and making policy recommendations constitute the original aspect of the study.

Kaynakça

  • Altıntaş, F. F. (2022). G20 grubu ülkelerin üretkenlik kapasitelerinin değerlendirilmesi. 19 Mayıs Sosyal Bilimler Dergisi, 3(2), 138-152.
  • Al-Yasi, M. A.; Al-Yasi, H. R. A. (2024). The role of government spending in developing the productive capacity of the Iraqi economy. Technium Soc. Sci. Journal, 56, 202-220.
  • Arega, M. D. (2022). Ethnic diversity and anti-development bias in Sub-Saharan Africa (SSA): The challenges of fostering productive capacities and structural economic transformation. African Journal of Development Studies, 2022(si2), 261-293.
  • Ayyıldız, F. V.; Topcuoğlu, A. (2023). BRICS ülkelerinde üretken kapasiteler bileşenlerinin iktisadi büyümeye etkisi: Panel kantil regresyon analizi. Ekonomik ve Sosyal Araştırmalar Dergisi, 19(2), 409-424.
  • 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.
  • Cevik, E.; Kirci Altinkeski, B.; Cevik, E. I.; Dibooglu, S. (2022). Investor sentiments and stock markets during the COVID-19 pandemic. Financial Innovation, 8(1), 69.
  • Chen, Y.; Li, Q. (2024). The impact of e-government on the new generation productive capacities: Evidence from cross-country data. Sustainability, 16(8), 3233.
  • Dahmani, M.; Youssef, A. B. (2024). Sustainable development in africa: Analyzing the interplay of environmental taxes, productive capacities, and urban growth. doi: 10.20944/preprints202403.1627.v1.
  • Demiral, M.; Demiral, Ö. (2023). Socio-economic productive capacities and energy efficiency: Global evidence by income level and resource dependence. Environmental Science and Pollution Research, 30(15), 42766-42790.
  • Dias, R. A.; Mattos, C. R.; Balestieri, J. A. (2006). The limits of human development and the use of energy and natural resources. Energy Policy, 34(9), 1026-1031.
  • Emeka, E. T.; Okenyi, C. N.; Ibrahim, A. (2024). Development effects of industrialization, labor force participation and electrification on productive capacity in Africa: A panel data investigation. The Journal of International Trade & Economic Development, 1-21.
  • Freire, C. (2011). Productive capacities in Asia and the Pacific. United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), MPDD Working Papers, No. WP/11/17, Bangkok, Thailand.
  • 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.
  • Guo, R.; Madni, G. R. (2024). Encirclement of productive capacities and institutions in context of sustainable development. Plos one, 19(3), e0297350.
  • Klugman, J. (2009). Human development report 2009. Overcoming barriers: Human mobility and development. Overcoming Barriers: Human Mobility and Development, UNDP-HDRO Human Development Reports, New York, USA.
  • Le Clech, N. A. (2023). Productive capacity and international competitiveness: Evidence from Latin America and Caribbean countries. Empirica, 50(3), 695-724.
  • Lino Grima, Ä. P.; Horton, S.; Kant, S. (2003). Introduction: Natural capital, poverty and development. Environment. Development and Sustainability, 5, 297-314.
  • Machado, J.A.; Silva, J.S., (2019). Quantiles via moments. Journal of Econometrics, 213, 145-173.
  • Mercan, M. (2014). Feldstein-Horioka hipotezinin AB-15 ve Türkiye ekonomisi için sınanması: Yatay kesit bağımlılığı altında yapısal kırılmalı dinamik panel veri analizi. Ege Akademik Bakış, 14(2), 231-245.
  • Mert, M. (2022). Türkiye’nin üretken kapasiteler endeksi ve yapısal dönüşümü. Ulakbilge Sosyal Bilimler Dergisi, 10(73), 627-642.
  • 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
  • Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012.
  • 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.
  • Pesaran, M. H.; Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.
  • Pesaran, M. H.; Ullah, A.; Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The econometrics journal, 11(1), 105-127.
  • Prendi, L.; Borakaj, D.; Merko, F.; Cania, L. (2022). The link between productive capacities and living standards ın the Balkan Countries. Specialusis Ugdymas, 1(43), 1288-1297.
  • Salari, T. E.; Roumiani, A.; Kazemzadeh, E. (2021). Globalization, renewable energy consumption, and agricultural production impacts on ecological footprint in emerging countries: using quantile regression approach. Environmental Science and Pollution Research, 28(36), 49627-49641.
  • Sargent, T. C. (2023). An econometric analysis of the impact of broadband internet on productivity. Centre for the Study of Living Standards.
  • Shiferaw, A. (2017). Productive capacity and economic growth in Ethiopia. United Nations, Department of Economics and Social Affairs, CDP Background Paper No. 34.
  • Tabachnick, B. G., Fidell, L. S.; Ullman, J. B. (2013). Using multivariate statistics (Vol. 6, pp. 497-516). Boston, MA: pearson.
  • Tatoğlu, F.Y., (2013). Panel veri ekonometrisi: Stata uygulamalı. 2. Baskı, Beta Yayınları: İstanbul.
  • Tridico, P. (2007). Institutions, human development and economic growth in transition economies. The European Journal of Development Research, 19, 569-593.
  • Ullah, M.; Sohail, H. M.; Haddad, H.; Al-Ramahi, N. M.; Khan, M. A. (2023). Global structural shocks and FDI dynamic impact on productive capacities: An application of CS-ardl estimation. Sustainability, 15(1), 283.
  • UNCTAD (2006). The least developed countrıes report 2006 Developing productive capacities, United Nations, New York and Geneva.
  • UNCTAD (2020a). Building and utilizing productive capacities in Africa and the least developed countries a holistic and practical guide. United Nations.
  • UNCTAD (2020b). The least developed countrıes report 2020 productive capacities for the new decade, United Nations, Geneva.
  • UNCTAD (2020c). UNCTAD productive capacities index focus on landlocked developing countries, United Nations.
  • UNCTAD (2021a). The least developed countries in the post-COVID world: Learning from 50 years of experience the least developed countrıes report 2021. United Nations, New York, USA.
  • UNCTAD (2021b). UNCTAD productive capacities index united nations conference on trade and development methodological approach and results. United Nations, Geneva.
  • UNCTAD (2023). First meeting of the productive capacities index (PCI) statistical and Technical Task Team Background Note, Istanbul and Geneva.
  • UNCTAD (2024). Productive capacities index. https://unctad.org/topic/least-developed-countries/productive-capacities-index, Accessed Date: 04.07.2024.
  • UNDP (2024). Human Development Index (HDI). https://hdr.undp.org/data-center/human-development-index#/indicies/HDI, Accessed Date: 10.10.2024.
  • United Nations ESCAP (2015), Asia-Pacific Countries with special needs development report 2015 building productive capacities to overcome structural challenges. United Nations ESCAP Economic and Social Commission for Asia and the Pasific, ST/ESCAP/2715, Bangkok.
  • Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of applied econometrics, 23(2), 193-233.
  • Xu, B.; Lin, B. (2018). What cause large regional differences in PM2. 5 pollutions in China? Evidence from quantile regression model. Journal of cleaner production, 174, 447-461.
  • Yıldız, B.; Yıldız, G. A. (2024). Sektörel kalkınma yardımlarının üretkenlik kapasitesi üzerindeki etkisi: düşük ve orta gelirli ülkeler üzerine ampirik bir çalışma (2002-2018). Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (60), 53-64.

Üretken Kapasitenin Ekonomik Kalkınma Üzerindeki Etkisi: MMQR ve CCE Yöntemlerinden Kanıtlar

Yıl 2024, Cilt: 8 Sayı: 4, 989 - 1008, 23.12.2024
https://doi.org/10.30586/pek.1529850

Öz

Bu çalışmada yüksek gelire sahip gelişmekte olan ülkelerde üretken kapasitenin ekonomik kalkınma üzerindeki etkisi araştırılmıştır. 2000-2022 dönemine ait yıllık veriler kullanılarak ampirik analiz gerçekleştirilmiştir. Panel veri yönteminin kullanıldığı ampirik analizde Method of Moments Quantile Regression (MMQR) ve Common Corelated Error (CCE) tahmincileri ile bağımsız değişkenlerin ekonomik kalkınma üzerindeki etkisi bulunmuştur. Temel bağımsız değişken olarak toplam üretken kapasite endeksi ve alt bileşenleri kullanılmıştır. Ayrıca kontrol değişkenleri niteliğinde emek ve sermaye değişkenleri de analize dahil edilmiştir. MMQR analiz sonuçlarına göre, toplam üretken kapasite endeksinin ekonomik kalkınma üzerinde olumlu bir etkiye sahip olduğu görülmüştür. Alt bileşenlerinden enerji, beşeri sermaye, bilgi ve iletişim teknolojileri, doğal sermaye, özel sektör ve taşımacılık değişkenlerinin benzer şekilde ekonomik kalkınmayı arttırdığı belirlenmiştir. Ancak yapısal değişimin ekonomik kalkınmayı olumsuz etkilediği ve kurumsal yapının herhangi bir etkisinin olmadığı bulunmuştur. Emek değişkeninin ekonomik kalkınmayı azaltıcı ancak sermaye değişkeninin ise arttırıcı yönde bir etkiye sahip olduğu tespit edilmiştir. CCE analiz sonuçlarına göre temel bağımsız değişkenlerden toplam üretken kapasite endeksi, beşeri sermaye ve özel sektör değişkenleri ile kontrol değişkenlerinden fiziksel sermaye değişkeninin ekonomik kalkınma üzerinde pozitif bir etkiye sahip olduğu gözlenmiştir. Diğer değişkenlerin ise ekonomik kalkınma üzerinde herhangi anlamlı bir etkisi bulunamamıştır. Sonuç olarak, değişkenlerin özelliklerine uygun yeni bir analiz yönteminin uygulanması ve verimliliği temsilen kullanılan görece yeni bir değişken olan üretken kapasite endeksi ve alt bileşenlerinin etkisinin detaylı olarak araştırılarak politika önerilerinde bulunulması çalışmanın özgün yönünü oluşturmaktadır.

Kaynakça

  • Altıntaş, F. F. (2022). G20 grubu ülkelerin üretkenlik kapasitelerinin değerlendirilmesi. 19 Mayıs Sosyal Bilimler Dergisi, 3(2), 138-152.
  • Al-Yasi, M. A.; Al-Yasi, H. R. A. (2024). The role of government spending in developing the productive capacity of the Iraqi economy. Technium Soc. Sci. Journal, 56, 202-220.
  • Arega, M. D. (2022). Ethnic diversity and anti-development bias in Sub-Saharan Africa (SSA): The challenges of fostering productive capacities and structural economic transformation. African Journal of Development Studies, 2022(si2), 261-293.
  • Ayyıldız, F. V.; Topcuoğlu, A. (2023). BRICS ülkelerinde üretken kapasiteler bileşenlerinin iktisadi büyümeye etkisi: Panel kantil regresyon analizi. Ekonomik ve Sosyal Araştırmalar Dergisi, 19(2), 409-424.
  • 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.
  • Cevik, E.; Kirci Altinkeski, B.; Cevik, E. I.; Dibooglu, S. (2022). Investor sentiments and stock markets during the COVID-19 pandemic. Financial Innovation, 8(1), 69.
  • Chen, Y.; Li, Q. (2024). The impact of e-government on the new generation productive capacities: Evidence from cross-country data. Sustainability, 16(8), 3233.
  • Dahmani, M.; Youssef, A. B. (2024). Sustainable development in africa: Analyzing the interplay of environmental taxes, productive capacities, and urban growth. doi: 10.20944/preprints202403.1627.v1.
  • Demiral, M.; Demiral, Ö. (2023). Socio-economic productive capacities and energy efficiency: Global evidence by income level and resource dependence. Environmental Science and Pollution Research, 30(15), 42766-42790.
  • Dias, R. A.; Mattos, C. R.; Balestieri, J. A. (2006). The limits of human development and the use of energy and natural resources. Energy Policy, 34(9), 1026-1031.
  • Emeka, E. T.; Okenyi, C. N.; Ibrahim, A. (2024). Development effects of industrialization, labor force participation and electrification on productive capacity in Africa: A panel data investigation. The Journal of International Trade & Economic Development, 1-21.
  • Freire, C. (2011). Productive capacities in Asia and the Pacific. United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), MPDD Working Papers, No. WP/11/17, Bangkok, Thailand.
  • 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.
  • Guo, R.; Madni, G. R. (2024). Encirclement of productive capacities and institutions in context of sustainable development. Plos one, 19(3), e0297350.
  • Klugman, J. (2009). Human development report 2009. Overcoming barriers: Human mobility and development. Overcoming Barriers: Human Mobility and Development, UNDP-HDRO Human Development Reports, New York, USA.
  • Le Clech, N. A. (2023). Productive capacity and international competitiveness: Evidence from Latin America and Caribbean countries. Empirica, 50(3), 695-724.
  • Lino Grima, Ä. P.; Horton, S.; Kant, S. (2003). Introduction: Natural capital, poverty and development. Environment. Development and Sustainability, 5, 297-314.
  • Machado, J.A.; Silva, J.S., (2019). Quantiles via moments. Journal of Econometrics, 213, 145-173.
  • Mercan, M. (2014). Feldstein-Horioka hipotezinin AB-15 ve Türkiye ekonomisi için sınanması: Yatay kesit bağımlılığı altında yapısal kırılmalı dinamik panel veri analizi. Ege Akademik Bakış, 14(2), 231-245.
  • Mert, M. (2022). Türkiye’nin üretken kapasiteler endeksi ve yapısal dönüşümü. Ulakbilge Sosyal Bilimler Dergisi, 10(73), 627-642.
  • 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
  • Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012.
  • 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.
  • Pesaran, M. H.; Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.
  • Pesaran, M. H.; Ullah, A.; Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The econometrics journal, 11(1), 105-127.
  • Prendi, L.; Borakaj, D.; Merko, F.; Cania, L. (2022). The link between productive capacities and living standards ın the Balkan Countries. Specialusis Ugdymas, 1(43), 1288-1297.
  • Salari, T. E.; Roumiani, A.; Kazemzadeh, E. (2021). Globalization, renewable energy consumption, and agricultural production impacts on ecological footprint in emerging countries: using quantile regression approach. Environmental Science and Pollution Research, 28(36), 49627-49641.
  • Sargent, T. C. (2023). An econometric analysis of the impact of broadband internet on productivity. Centre for the Study of Living Standards.
  • Shiferaw, A. (2017). Productive capacity and economic growth in Ethiopia. United Nations, Department of Economics and Social Affairs, CDP Background Paper No. 34.
  • Tabachnick, B. G., Fidell, L. S.; Ullman, J. B. (2013). Using multivariate statistics (Vol. 6, pp. 497-516). Boston, MA: pearson.
  • Tatoğlu, F.Y., (2013). Panel veri ekonometrisi: Stata uygulamalı. 2. Baskı, Beta Yayınları: İstanbul.
  • Tridico, P. (2007). Institutions, human development and economic growth in transition economies. The European Journal of Development Research, 19, 569-593.
  • Ullah, M.; Sohail, H. M.; Haddad, H.; Al-Ramahi, N. M.; Khan, M. A. (2023). Global structural shocks and FDI dynamic impact on productive capacities: An application of CS-ardl estimation. Sustainability, 15(1), 283.
  • UNCTAD (2006). The least developed countrıes report 2006 Developing productive capacities, United Nations, New York and Geneva.
  • UNCTAD (2020a). Building and utilizing productive capacities in Africa and the least developed countries a holistic and practical guide. United Nations.
  • UNCTAD (2020b). The least developed countrıes report 2020 productive capacities for the new decade, United Nations, Geneva.
  • UNCTAD (2020c). UNCTAD productive capacities index focus on landlocked developing countries, United Nations.
  • UNCTAD (2021a). The least developed countries in the post-COVID world: Learning from 50 years of experience the least developed countrıes report 2021. United Nations, New York, USA.
  • UNCTAD (2021b). UNCTAD productive capacities index united nations conference on trade and development methodological approach and results. United Nations, Geneva.
  • UNCTAD (2023). First meeting of the productive capacities index (PCI) statistical and Technical Task Team Background Note, Istanbul and Geneva.
  • UNCTAD (2024). Productive capacities index. https://unctad.org/topic/least-developed-countries/productive-capacities-index, Accessed Date: 04.07.2024.
  • UNDP (2024). Human Development Index (HDI). https://hdr.undp.org/data-center/human-development-index#/indicies/HDI, Accessed Date: 10.10.2024.
  • United Nations ESCAP (2015), Asia-Pacific Countries with special needs development report 2015 building productive capacities to overcome structural challenges. United Nations ESCAP Economic and Social Commission for Asia and the Pasific, ST/ESCAP/2715, Bangkok.
  • Westerlund, J. (2008). Panel cointegration tests of the Fisher effect. Journal of applied econometrics, 23(2), 193-233.
  • Xu, B.; Lin, B. (2018). What cause large regional differences in PM2. 5 pollutions in China? Evidence from quantile regression model. Journal of cleaner production, 174, 447-461.
  • Yıldız, B.; Yıldız, G. A. (2024). Sektörel kalkınma yardımlarının üretkenlik kapasitesi üzerindeki etkisi: düşük ve orta gelirli ülkeler üzerine ampirik bir çalışma (2002-2018). Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (60), 53-64.
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Kalkınma Ekonomisi - Makro
Bölüm Makaleler
Yazarlar

Eda Bozkurt 0000-0001-7158-8049

Ali Altıner 0000-0001-7362-8198

Yayımlanma Tarihi 23 Aralık 2024
Gönderilme Tarihi 7 Ağustos 2024
Kabul Tarihi 25 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 4

Kaynak Göster

APA Bozkurt, E., & Altıner, A. (2024). Üretken Kapasitenin Ekonomik Kalkınma Üzerindeki Etkisi: MMQR ve CCE Yöntemlerinden Kanıtlar. Politik Ekonomik Kuram, 8(4), 989-1008. https://doi.org/10.30586/pek.1529850

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