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Lojistik Performans ve Çevresel Bozulma: MENA Ülkeleri Örneği

Yıl 2024, Cilt: 13 Sayı: 2, 198 - 229, 11.09.2024

Öz

Bu makalede lojistik performansın çevresel bozulma üzerindeki etkisi, Orta Doğu ve Kuzey Afrika (MENA) bölgesindeki 20 ekonomiyi kapsayan bir panel veri kullanılarak 2007-2018 dönemi için analiz edilmektedir. Lojistik performans için Dünya Bankası tarafından geliştirilen Lojistik Performans Endeksi (LPI) ve alt endeksleri, çevresel bozulma için ise CO2 emisyonları ve ekolojik ayak izi göstergeleri kullanılmaktadır. Ampirik bulgularda lojistik performansındaki iyileşmelerin petrol zengini MENA ülkeleri için çevresel bozulmayı artırmakta (dolayısıyla çevresel sürdürülebilirliği zayıflatmakta) olduğu, petrol zengini olmayan MENA ülkeleri için bu değişkenin etkisinin istatistiksel olarak anlamsız olduğu görülmektedir. LPI ve alt endekslerinin daha yüksek değerler alması ile çevre dostu (yeşil) uygulamalar arasında doğrudan bir ilişki olduğu söylenemez. Dolayısıyla lojistik performansın olumsuz çevresel etkileri göz önüne alındığında, doğal kaynakların hukuki ve resmi olarak korunması gibi düzenlemelere ve yeşil lojistik için iyi tasarlanmış uygulamalara ihtiyaç duyulmaktadır. LPI ve alt endeksleri çevre dostu uygulamaları yansıtma eğiliminde olmadığından, MENA bölgesindeki yeşil lojistiği değerlendirmek için daha uygun alternatif göstergeler geliştirilebilir ve formüle edilebilir.

Kaynakça

  • Abbasi, M., & Nilsson, F. (2016). Developing environmentally sustainable logistics: Exploring themes and challenges from a logistics service providers’ perspective. Transportation Research Part D: Transport and Environment, 46, 273-283.
  • Adams, S., & Acheampong, A. O. (2019). Reducing carbon emissions: the role of renewable energy and democracy. Journal of Cleaner Production, 240, 118245.
  • Aiginger, K. (1998). A framework for evaluating the dynamic competitiveness of countries. Structural change and economic dynamics, 92, 159-188.
  • Alam, M.M. & Lee, Y. (2021). Cleaner Vehicles and Charging Infrastructure : Greening Passenger Fleets for Sustainable Mobility. Transport Decarbonization Investment Series, World Bank, Washington, DC.
  • Apergis, N., & Ozturk, I. (2015). Testing environmental Kuznets curve hypothesis in Asian countries. Ecological Indicators, 52, 16-22.
  • Arvis, J.F., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A. (2016). Trade Logistics in the Global Economy-The Logistics Performance Index and Its Indicators, World Bank, Washington, DC.
  • Balogh, J. M. (2019). Agriculture-specific determinants of carbon footprint. Studies in Agricultural Economics, 121(3), 166-170.
  • Barth, M., & Boriboonsomsin, K. (2009). Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transportation Research Part D: Transport and Environment, 14(6), 400-410.
  • Climate Counsil Report (2022). Australia, available at “https://www.climatecouncil.org.au/11-countries-leading-the-charge-on-renewable-energy/”
  • Carter, C.R. & Liane Easton, P. (2011). Sustainable supply chain management: evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41(1), 46-62.
  • Ceddia, M. G. (2019). The impact of income, land, and wealth inequality on agricultural expansion in Latin America. Proceedings of the National Academy of Sciences, 1167, 2527-2532.
  • Coto-Millán, P., Agüeros, M., Casares-Hontañón, P., & Pesquera, M. Á. (2013). Impact of logistics performance on world economic growth 2007–2012. World Review of Intermodal Transportation Research, 44, 300-310.
  • Çelebi, D. (2019). The role of logistics performance in promoting trade. Maritime Economics & Logistics, 213, 307-323.
  • D’Aleo, V. & Sergi, B. S. (2017a). Does Logistics Influence Economic Growth? The European Experience. Management Decision, 558, 1613-1628.
  • Dogan, E. & Turkekul, B. (2016). CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environmental Science and Pollution Research, 23, 1203–1213.
  • Gani, A. (2017). The logistics performance effect in international trade. The Asian Journal of Shipping and Logistics, 33(4), 279–288.
  • Global Footprint Network (GFN), 2022. National Footprint Accounts, 2022 Edition.
  • Grossman G.M. & Krueger A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110 (2), 353-377.
  • Hausman, W. H., Lee, H. L., & Subramanian, U. (2013). The impact of logistics performance on trade. Production and Operations Management, 222, 236-252.
  • Hoechle, D.(2007). Robust standard errors for panel regressions with cross-sectional dependence. The Stata Journal, 73, 281-312.
  • Hong, J., Shen, G. Q., Feng, Y., Lau, W. S. T., & Mao, C. (2015). Greenhouse gas emissions during the construction phase of a building: A case study in China. Journal of Cleaner Production, 103, 249-259.
  • International Energy Agency (IEA). (2019). CO2 emissions from fuel combustion, IEA Data and statistics.
  • Jevons, W.S. (1906). The Coal Questions, an Inquiry Concerning the Progress of the Nation, and the Probable Exhaustion of our Coal-mines”, Macmillan Press, Third Edition.
  • Karaduman, H. A., Karaman-Akgül, A., Çağlar, M., & Akbaş, H. E. (2020). The relationship between logistics performance and carbon emissions: an empirical investigation on Balkan countries. International Journal of Climate Change Strategies and Management, 12(4), 449-461.
  • Khan, S. A. R. (2019). The nexus between carbon emissions, poverty, economic growth, and logistics operations-empirical evidence from Southeast Asian countries. Environmental Science and Pollution Research, 2613, 13210-13220.
  • Khan, S. A. R., Jian, C., Zhang, Y., Golpîra, H., Kumar, A., & Sharif, A. (2019). Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Region Cooperation countries. Journal of Cleaner Production, 214, 1011–1023.
  • Khan, S. A. R., Zhang, Y., Anees, M., Golpîra, H., Lahmar, A., & Qianli, D. (2018). Green supply chain management, economic growth and environment: A GMM based evidence. Journal of Cleaner Production, 185, 588-599.
  • Khan, S. A. R., Qianli, D., SongBo, W., Zaman, K., & Zhang, Y. (2017). Environmental logistics performance indicators affecting per capita income and sectoral growth: evidence from a panel of selected global ranked logistics countries. Environmental Science and Pollution Research, 242, 1518-1531.
  • Kim, I. & Min, H. (2011). Measuring supply chain efficiency from a green perspective. Management Research Review, 3411, 1169-1189.
  • La, K. W. & Song, J. G. (2019). An Empirical Study on the Effects of Export Promotion on Korea-China-Japan Using Logistics Performance Index (LPI). Journal of Korea Trade, 23(7), 96–112.
  • Larina, I. V., Larin, A. N., Kiriliuk, O., & Ingaldi, M. (2021). Green logistics-modern transportation process technology. Production Engineering Archives, 27(3), 184-190.
  • Larson, P. D. (2021). Relationships between logistics performance and aspects of sustainability: A cross-country analysis. Sustainability, 13(2), 623.
  • Lee, C. G. (2009). Foreign direct investment, pollution and economic growth: evidence from Malaysia. Applied Economics, 41(13), 1709-1716.
  • Li, X., Sohail, S., Majeed, M. T., & Ahmad, W. (2021). Green logistics, economic growth, and environmental quality: evidence from one belt and road initiative economies. Environmental Science and Pollution Research, 28, 30664-30674.
  • Li, Y. (2014). Environmental innovation practices and performance: moderating effect of resource commitment, Journal of Cleaner Production, 66, 450-458.
  • Liu, J., Yuan, C., Hafeez, M., & Yuan, Q. (2018). The relationship between environment and logistics performance: Evidence from Asian countries, Journal of Cleaner Production, 204, 282-291.
  • Lu, M., Xie, R., Chen, P., Zou, Y. & Tang, J. (2019). Green transportation and logistics performance: an improved composite index. Sustainability, 11(10), 1-17.
  • Magazzino, C., Mele, M., & Schneider, N. (2022). A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation. Structural Change and Economic Dynamics, 60, 315-328.
  • Magazzino, C., Alola, A. A., & Schneider, N. (2021). The trilemma of innovation, logistics performance, and environmental quality in 25 top most logistics countries: A quantile regression evidence. Journal of Cleaner Production, 322, 129050.
  • Mariano, E.B., Gobbo, J.A., Jr, de Castro Camioto, F. & do Nascimento Rebelatto, D.A. (2017). CO2 emissions and logistics performance: a composite index proposal. Journal of Cleaner Production, 163,166-178.
  • Martel, A., Klibi, W. (2016). Supply Chains: Issues and Opportunities. In: Designing Value-Creating Supply Chain Networks. Springer International Publishing, 1-43.
  • Martí, L., Puertas, R., & García, L. (2014). The importance of the Logistics Performance Index in international trade. Applied Economics, 46(24), 2982-2992.
  • Min, H., & Kim, I. (2012). Green supply chain research: past, present, and future. Logistics Research 4, 39-47.
  • Ozturk, I., & Acaravci, A. (2016). Energy consumption, CO2 emissions, economic growth, and foreign trade relationship in Cyprus and Malta. Energy Sources, Part B: Economics, Planning, and Policy, 114, 321-327.
  • Rashidi, K., & Cullinane, K. (2019). Evaluating the sustainability of national logistics performance using data envelopment analysis. Transport Policy, 74, 35–46.
  • Rodt, S., Georgi, B., Huckestein, B., Mönch, L., Herbener, R., Jahn, H., Koppe, K., Lindmaier, J., 2010. CO{sub 2} emissions reduction in the transport sector in Germany. Possible measures and their reduction potential. A status report by the Federal Environment Agency.
  • Sadorsky, P. (2013). Do urbanization and industrialization affect energy intensity in developing countries? Energy Economics, 37, 52-59.
  • Saslavsky, D., & Shepherd, B. (2014). Facilitating international production networks: The role of trade logistics. The Journal of International Trade & Economic Development, 23(7), 979-999.
  • Sears, L., Caparelli, J., Lee, C., Pan, D., Strandberg, G., Vuu, L., & Lin Lawell, C. Y. C. (2018). Jevons’ paradox and efficient irrigation technology. Sustainability, 10(5), 1590.
  • Suki, N. M., Suki, N. M., Sharif, A., & Afshan, S. (2021). The role of logistics performance for sustainable development in top Asian countries: Evidence from advance panel estimations. Sustainable Development, 29(4), 595-606.
  • Taşdemir, F., & Ekmen-Özçelik, S. (2023). Do human capital and governance thresholds matter for the environmental impact of FDI? The evidence from MENA countries. Environmental Science and Pollution Research, 30(14), 41741-41754.
  • Trincado, E., Sánchez-Bayón, A., & Vindel, J. M., 2021. The European Union green deal: clean energy wellbeing opportunities and the risk of the Jevons paradox. Energies 14(14), 4148.
  • Töngür, Ü., Türkcan, K., & Ekmen-Özçelik, S., 2020. Logistics performance and export variety: Evidence from Turkey. Central Bank Review 20(3), 143-154.
  • United Nations, 2014. Climate Summit -2014: Catalyzing Action. Global Green Freight Action Plan, UN Climate Summit.
  • Wan, B., Wan, W., Hanif, N., & Ahmed, Z., 2022. Logistics performance and environmental sustainability: Do green innovation, renewable energy, and economic globalization matter?. Frontiers in Environmental Science 10(996341), 1-10.
  • Wang, D. T., & Chen, W. Y., 2014. Foreign direct investment, institutional development, and environmental externalities: Evidence from China. Journal of Evironmental Management 135, 81-90.
  • Wild, P., 2021. Recommendations for a future global CO2-calculation standard for transport and logistics. Transportation Research Part D: Transport and Environment 100, 103024.
  • Windmark, C., & Andersson, C., 2015. Cost models of inbound logistics activities: supporting production system design. International Journal of Supply Chain and Operations Resilience 1(2), 181-200.
  • Winkler, C., & Mocanu, T., 2020. Impact of political measures on passenger and freight transport demand in Germany. Transportation Research Part D: Transport and Environment 87, 102476.
  • World Bank, 2022a. Logistics performance index database. Retrieved from. https:// lpi.worldbank.org
  • World Bank, 2022b. World development indicators (WDI). Retrieved from. https://data. worldbank.org/data-catalog/world-development-indicators.
  • Yadav, N., 2014. Impact of trade facilitation on parts and components trade. The International Trade Journal 28(4), 287-310.
  • Yaprak, İ. & Doğan, N. Ö., 2019. Yeşil Tedarik Zinciri Yönetimi: İlgili Literatüre Dayalı Bir Mevcut Durum Analizi. Uluslararası Yönetim İktisat ve İşletme Dergisi 15(4) , 1143-1165.
  • Zaman, K., & Shamsuddin, S., 2017. Green logistics and national scale economic indicators: evidence from a panel of selected European countries. Journal of Cleaner Production 143, 51–63.

Logistics Performance and Environmental Degradation: The Case of MENA Countries

Yıl 2024, Cilt: 13 Sayı: 2, 198 - 229, 11.09.2024

Öz

This article analyzes the impact of logistics performance on environmental degradation for a panel of 20 economies in the Middle East and North Africa (MENA) from 2007 to 2018. Logistics performance is measured by the Logistics Performance Index (LPI) and its sub-indices as developed by the World Bank, while environmental degradation is measured by CO2 emissions and ecological footprint. According to the empirical findings, improvements in logistics performance raise environmental degradation for oil-rich MENA countries, while the effect of that variable is statistically insignificant in the case of non-oil-rich MENA countries. Higher values for the LPI and its sub-indices are not necessarily associated with environment-friendly (green) practices. Considering the adverse environmental effects of logistics performance, such regulations as judicial and governmental protection of natural resources and well-designed practices for green logistics are needed. More accurate alternative indicators can also be developed and formulated to evaluate green logistics in the MENA region, as the LPI and its sub-indices do not tend to reflect environment-friendly practices.

Kaynakça

  • Abbasi, M., & Nilsson, F. (2016). Developing environmentally sustainable logistics: Exploring themes and challenges from a logistics service providers’ perspective. Transportation Research Part D: Transport and Environment, 46, 273-283.
  • Adams, S., & Acheampong, A. O. (2019). Reducing carbon emissions: the role of renewable energy and democracy. Journal of Cleaner Production, 240, 118245.
  • Aiginger, K. (1998). A framework for evaluating the dynamic competitiveness of countries. Structural change and economic dynamics, 92, 159-188.
  • Alam, M.M. & Lee, Y. (2021). Cleaner Vehicles and Charging Infrastructure : Greening Passenger Fleets for Sustainable Mobility. Transport Decarbonization Investment Series, World Bank, Washington, DC.
  • Apergis, N., & Ozturk, I. (2015). Testing environmental Kuznets curve hypothesis in Asian countries. Ecological Indicators, 52, 16-22.
  • Arvis, J.F., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A. (2016). Trade Logistics in the Global Economy-The Logistics Performance Index and Its Indicators, World Bank, Washington, DC.
  • Balogh, J. M. (2019). Agriculture-specific determinants of carbon footprint. Studies in Agricultural Economics, 121(3), 166-170.
  • Barth, M., & Boriboonsomsin, K. (2009). Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transportation Research Part D: Transport and Environment, 14(6), 400-410.
  • Climate Counsil Report (2022). Australia, available at “https://www.climatecouncil.org.au/11-countries-leading-the-charge-on-renewable-energy/”
  • Carter, C.R. & Liane Easton, P. (2011). Sustainable supply chain management: evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41(1), 46-62.
  • Ceddia, M. G. (2019). The impact of income, land, and wealth inequality on agricultural expansion in Latin America. Proceedings of the National Academy of Sciences, 1167, 2527-2532.
  • Coto-Millán, P., Agüeros, M., Casares-Hontañón, P., & Pesquera, M. Á. (2013). Impact of logistics performance on world economic growth 2007–2012. World Review of Intermodal Transportation Research, 44, 300-310.
  • Çelebi, D. (2019). The role of logistics performance in promoting trade. Maritime Economics & Logistics, 213, 307-323.
  • D’Aleo, V. & Sergi, B. S. (2017a). Does Logistics Influence Economic Growth? The European Experience. Management Decision, 558, 1613-1628.
  • Dogan, E. & Turkekul, B. (2016). CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environmental Science and Pollution Research, 23, 1203–1213.
  • Gani, A. (2017). The logistics performance effect in international trade. The Asian Journal of Shipping and Logistics, 33(4), 279–288.
  • Global Footprint Network (GFN), 2022. National Footprint Accounts, 2022 Edition.
  • Grossman G.M. & Krueger A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110 (2), 353-377.
  • Hausman, W. H., Lee, H. L., & Subramanian, U. (2013). The impact of logistics performance on trade. Production and Operations Management, 222, 236-252.
  • Hoechle, D.(2007). Robust standard errors for panel regressions with cross-sectional dependence. The Stata Journal, 73, 281-312.
  • Hong, J., Shen, G. Q., Feng, Y., Lau, W. S. T., & Mao, C. (2015). Greenhouse gas emissions during the construction phase of a building: A case study in China. Journal of Cleaner Production, 103, 249-259.
  • International Energy Agency (IEA). (2019). CO2 emissions from fuel combustion, IEA Data and statistics.
  • Jevons, W.S. (1906). The Coal Questions, an Inquiry Concerning the Progress of the Nation, and the Probable Exhaustion of our Coal-mines”, Macmillan Press, Third Edition.
  • Karaduman, H. A., Karaman-Akgül, A., Çağlar, M., & Akbaş, H. E. (2020). The relationship between logistics performance and carbon emissions: an empirical investigation on Balkan countries. International Journal of Climate Change Strategies and Management, 12(4), 449-461.
  • Khan, S. A. R. (2019). The nexus between carbon emissions, poverty, economic growth, and logistics operations-empirical evidence from Southeast Asian countries. Environmental Science and Pollution Research, 2613, 13210-13220.
  • Khan, S. A. R., Jian, C., Zhang, Y., Golpîra, H., Kumar, A., & Sharif, A. (2019). Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Region Cooperation countries. Journal of Cleaner Production, 214, 1011–1023.
  • Khan, S. A. R., Zhang, Y., Anees, M., Golpîra, H., Lahmar, A., & Qianli, D. (2018). Green supply chain management, economic growth and environment: A GMM based evidence. Journal of Cleaner Production, 185, 588-599.
  • Khan, S. A. R., Qianli, D., SongBo, W., Zaman, K., & Zhang, Y. (2017). Environmental logistics performance indicators affecting per capita income and sectoral growth: evidence from a panel of selected global ranked logistics countries. Environmental Science and Pollution Research, 242, 1518-1531.
  • Kim, I. & Min, H. (2011). Measuring supply chain efficiency from a green perspective. Management Research Review, 3411, 1169-1189.
  • La, K. W. & Song, J. G. (2019). An Empirical Study on the Effects of Export Promotion on Korea-China-Japan Using Logistics Performance Index (LPI). Journal of Korea Trade, 23(7), 96–112.
  • Larina, I. V., Larin, A. N., Kiriliuk, O., & Ingaldi, M. (2021). Green logistics-modern transportation process technology. Production Engineering Archives, 27(3), 184-190.
  • Larson, P. D. (2021). Relationships between logistics performance and aspects of sustainability: A cross-country analysis. Sustainability, 13(2), 623.
  • Lee, C. G. (2009). Foreign direct investment, pollution and economic growth: evidence from Malaysia. Applied Economics, 41(13), 1709-1716.
  • Li, X., Sohail, S., Majeed, M. T., & Ahmad, W. (2021). Green logistics, economic growth, and environmental quality: evidence from one belt and road initiative economies. Environmental Science and Pollution Research, 28, 30664-30674.
  • Li, Y. (2014). Environmental innovation practices and performance: moderating effect of resource commitment, Journal of Cleaner Production, 66, 450-458.
  • Liu, J., Yuan, C., Hafeez, M., & Yuan, Q. (2018). The relationship between environment and logistics performance: Evidence from Asian countries, Journal of Cleaner Production, 204, 282-291.
  • Lu, M., Xie, R., Chen, P., Zou, Y. & Tang, J. (2019). Green transportation and logistics performance: an improved composite index. Sustainability, 11(10), 1-17.
  • Magazzino, C., Mele, M., & Schneider, N. (2022). A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation. Structural Change and Economic Dynamics, 60, 315-328.
  • Magazzino, C., Alola, A. A., & Schneider, N. (2021). The trilemma of innovation, logistics performance, and environmental quality in 25 top most logistics countries: A quantile regression evidence. Journal of Cleaner Production, 322, 129050.
  • Mariano, E.B., Gobbo, J.A., Jr, de Castro Camioto, F. & do Nascimento Rebelatto, D.A. (2017). CO2 emissions and logistics performance: a composite index proposal. Journal of Cleaner Production, 163,166-178.
  • Martel, A., Klibi, W. (2016). Supply Chains: Issues and Opportunities. In: Designing Value-Creating Supply Chain Networks. Springer International Publishing, 1-43.
  • Martí, L., Puertas, R., & García, L. (2014). The importance of the Logistics Performance Index in international trade. Applied Economics, 46(24), 2982-2992.
  • Min, H., & Kim, I. (2012). Green supply chain research: past, present, and future. Logistics Research 4, 39-47.
  • Ozturk, I., & Acaravci, A. (2016). Energy consumption, CO2 emissions, economic growth, and foreign trade relationship in Cyprus and Malta. Energy Sources, Part B: Economics, Planning, and Policy, 114, 321-327.
  • Rashidi, K., & Cullinane, K. (2019). Evaluating the sustainability of national logistics performance using data envelopment analysis. Transport Policy, 74, 35–46.
  • Rodt, S., Georgi, B., Huckestein, B., Mönch, L., Herbener, R., Jahn, H., Koppe, K., Lindmaier, J., 2010. CO{sub 2} emissions reduction in the transport sector in Germany. Possible measures and their reduction potential. A status report by the Federal Environment Agency.
  • Sadorsky, P. (2013). Do urbanization and industrialization affect energy intensity in developing countries? Energy Economics, 37, 52-59.
  • Saslavsky, D., & Shepherd, B. (2014). Facilitating international production networks: The role of trade logistics. The Journal of International Trade & Economic Development, 23(7), 979-999.
  • Sears, L., Caparelli, J., Lee, C., Pan, D., Strandberg, G., Vuu, L., & Lin Lawell, C. Y. C. (2018). Jevons’ paradox and efficient irrigation technology. Sustainability, 10(5), 1590.
  • Suki, N. M., Suki, N. M., Sharif, A., & Afshan, S. (2021). The role of logistics performance for sustainable development in top Asian countries: Evidence from advance panel estimations. Sustainable Development, 29(4), 595-606.
  • Taşdemir, F., & Ekmen-Özçelik, S. (2023). Do human capital and governance thresholds matter for the environmental impact of FDI? The evidence from MENA countries. Environmental Science and Pollution Research, 30(14), 41741-41754.
  • Trincado, E., Sánchez-Bayón, A., & Vindel, J. M., 2021. The European Union green deal: clean energy wellbeing opportunities and the risk of the Jevons paradox. Energies 14(14), 4148.
  • Töngür, Ü., Türkcan, K., & Ekmen-Özçelik, S., 2020. Logistics performance and export variety: Evidence from Turkey. Central Bank Review 20(3), 143-154.
  • United Nations, 2014. Climate Summit -2014: Catalyzing Action. Global Green Freight Action Plan, UN Climate Summit.
  • Wan, B., Wan, W., Hanif, N., & Ahmed, Z., 2022. Logistics performance and environmental sustainability: Do green innovation, renewable energy, and economic globalization matter?. Frontiers in Environmental Science 10(996341), 1-10.
  • Wang, D. T., & Chen, W. Y., 2014. Foreign direct investment, institutional development, and environmental externalities: Evidence from China. Journal of Evironmental Management 135, 81-90.
  • Wild, P., 2021. Recommendations for a future global CO2-calculation standard for transport and logistics. Transportation Research Part D: Transport and Environment 100, 103024.
  • Windmark, C., & Andersson, C., 2015. Cost models of inbound logistics activities: supporting production system design. International Journal of Supply Chain and Operations Resilience 1(2), 181-200.
  • Winkler, C., & Mocanu, T., 2020. Impact of political measures on passenger and freight transport demand in Germany. Transportation Research Part D: Transport and Environment 87, 102476.
  • World Bank, 2022a. Logistics performance index database. Retrieved from. https:// lpi.worldbank.org
  • World Bank, 2022b. World development indicators (WDI). Retrieved from. https://data. worldbank.org/data-catalog/world-development-indicators.
  • Yadav, N., 2014. Impact of trade facilitation on parts and components trade. The International Trade Journal 28(4), 287-310.
  • Yaprak, İ. & Doğan, N. Ö., 2019. Yeşil Tedarik Zinciri Yönetimi: İlgili Literatüre Dayalı Bir Mevcut Durum Analizi. Uluslararası Yönetim İktisat ve İşletme Dergisi 15(4) , 1143-1165.
  • Zaman, K., & Shamsuddin, S., 2017. Green logistics and national scale economic indicators: evidence from a panel of selected European countries. Journal of Cleaner Production 143, 51–63.
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Panel Veri Analizi , Uygulamalı Mikro Ekonometri
Bölüm Araştırma Makaleleri
Yazarlar

Seda Ekmen Özçelik 0000-0001-9946-4785

Ünal Töngür 0000-0002-6891-6854

Yayımlanma Tarihi 11 Eylül 2024
Gönderilme Tarihi 8 Ağustos 2024
Kabul Tarihi 8 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 13 Sayı: 2

Kaynak Göster

APA Ekmen Özçelik, S., & Töngür, Ü. (2024). Logistics Performance and Environmental Degradation: The Case of MENA Countries. Ekonomi-Tek, 13(2), 198-229.