Araştırma Makalesi
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KÜRESEL ÜRETİM AĞLARINA KATILIM İLE LOJİSTİK SEKTÖRÜNDEN KAYNAKLI ÇEVRE KİRLİLİĞİ ARASINDAKİ İLİŞKİ

Yıl 2022, , 151 - 167, 30.07.2022
https://doi.org/10.31671/doujournal.1105198

Öz

Çevre kirliliği ve bu kirliliğe neden olan faktörlerin belirlenmesi ekonomik faaliyetlerin sürdürülebilirliği açısından önemlidir. Bu çalışma lojistik sektörü çerçevesinde çevreyi ele alırken, lojistiği üretim ağları teorisi çerçevesine yerleştirerek anlamaya çalışmaktadır. Bu nedenle, bu çalışmada küresel üretim ağlarına katılıma aracılık eden lojistik sektörünün neden olduğu çevre kirliliği incelenmiştir. Çalışmanın örneklemi 38 İslam ülkesinden oluşmakta ve verilerin zaman aralığı 2000-2018 yıllarını kapsamaktadır. Araştırma yöntemi panel eşbütünleşmedir. Sonuçlar, İslam ülkelerinin küresel üretim ağlarına katılımının çevre dostu olmadığını göstermektedir. Küresel üretim ağlarına katılım ile lojistik sektöründen kaynaklanan çevreye zararlı gazlar arasında uzun dönemde doğrusal bir ilişki tespit edilmiştir. Buna göre sonuçlar, küresel üretim ağlarına katılımı temsil eden lojistik sektörü ve ara malı ithalatından kaynaklanan CO2 ve GHG'nin uzun vadede birlikte hareket ettiğini göstermektedir. Bu sonuç, ekonomik kalkınma için küresel üretim ağlarına katılımın İslam ülkelerinin sürdürülebilirliğine zarar verebileceğini ve uzun vadede kalkınmalarını engelleyebileceğini göstermektedir. 38 İslam ülkesinin küresel üretim ağları aracılığıyla uluslararası işbölümüne katılımının sağlanması, lojistik operasyonların ve tedarik zinciri yönetiminin çevre dostu hale getirilmesi gerekmektedir. Bunun için operasyonlarda kullanılan araçların ekolojik araçlarla değiştirilmesi, lojistik (karayolu, liman, demiryolu vb.) altyapılarının çevre dostu araçlarla uyumlu hale getirilmesi, lojistik operasyonlarda CO2 ve GHG emisyonuna neden olan araçların payını azaltacak operasyonel yöntemler geliştirilmesi lojistik operasyonların idari açıdan daha çevreci hale getirilmesi seçenekler arasında değerlendirilmektedir.

Kaynakça

  • Barrett, H., Browne, A., & Ilbery, B. (2004). From farm to supermarket: the trade in fresh horticultural produce from sub-Saharan Africa to the United Kingdom. A. Hughes S. Reimer (Ed), Geographies of Commodity Chains (pp. 31-50). Routledge London.
  • Barrientos, S., Gereffi, G., & Rossi, A. (2010). Economic and social upgrading in global production networks: Developing a framework for analysis. International Labor Review, 150, (3-4), 319-340.
  • Bekhet, H., & Othman, N. (2018). The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia. Energy Economics,72, 47-61.
  • Beysenbaev, R., & Dus, Y. (2020). Proposals for improving the Logistics Performance Index. The Asian Journal of Shipping and Logistics, 36(1), 34-42. doi:https://doi.org/10.1016/j.ajsl.2019.10.001
  • Boukherroub, T., Ruiz, A., Guinet, A., & Fondrevelle, J. (2015). An integrated approach for sustainable supply chain planning. Computers & Operations Research, 54, 180-194.
  • Breusch, T., & Pagan, A. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  • Coe, N., & Yeung, H.-c. (2015). Global production networks theorizing economic development in an ınterconnected world. Oxford: Oxford University Press.
  • Coe, N., Dicken, P., & Hess, M. (2008). Introduction: global production networks—debates and challenges. Journal of Economic Geography, 8(3), 267-269.
  • Coe, N., Hess, M., Yeung, H.-c., Dicken, P., & Henderson, J. (2004). Globalizing’ regional development: a global production networks perspective. Transactions of The Institute of British Geographers, 29(4), 468–484.
  • Hall, P., Hesse, M., & Jean-Paul, M. (2006). Reexploring the interface between economic and transport geography. Environment and Planning, 38(8), 1401-1408.
  • Hamelinck, C., Suurs, R., & Faaij, A. (2005). International bioenergy transport costs and energy balance. Biomass and Bioenergy, 29(2), 114-134.
  • Hughes, A. (2000). Retailers, knowledges and changing commodity networks: the case of the cut flower trade. Geoforum, 31(2), 175-190.
  • Islam, M., Moeinzadeh, S., Tseng, M.-L., & Tan, K. (2020). A literature review on environmental concerns in logistics: trends and future challenges. International Journal of Logistics Research and Applications, 24(2), 126-151. doi:10.1080/13675567.2020.1732313
  • Kao, C., Chiang, M.‐H., & Chen, B. (1999). International R&D spillovers: an application of estimation and inference in panel cointegration. Oxford Bulletin of Economics and Statistics, 61(S1), 691-709.
  • Karaduman, H., Karaman-Akgül, A., Çağlar, M., & Akbaş , H. (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. doi:https://doi.org/10.1108/IJCCSM-05-2020-0041
  • Kee-hung, L., & Wong, C. (2012). Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters. Omega, 40(3), 267-282.
  • Khan, S., & Qianli, D. (2017). Does national scale economic and environmental indicators spur logistics performance? Evidence from UK. Environmental Science and Pollution Research, 24(34), 26692-26705. doi:https://doi.org/10.1007/s11356-017-0222-9
  • Khan, S., 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, 24(2), 1518-1531.
  • Khan, S., 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. doi:https://doi.org/10.1016/j.jclepro.2018.02.226
  • Knorringa, P., & Pegler, L. (2006). Globalisation, firm upgrading and impacts on labour. Tijdschrift Voor Economische En Sociale Geografie, 97(5), 470-479.
  • Li, X., Sohail, S., Majeed, M., & Ahmad, W. (2021). Green logistics, economic growth, and environmental quality: evidence from one belt and road initiative economies. Environmental Science and Pollution Research, 28(24), 30664–30674.
  • 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. doi:https://doi.org/10.1016/j.jclepro.2018.08.310
  • Liu, S., He, N., Shi, Y., & Li, G. (2021). The roles logistics agglomeration and technological progress play in air pollution -- New evidence in sub-regions of Chongqing, China. Journal of Cleaner Production, 317, 128414. doi:https://doi.org/10.1016/j.jclepro.2021.128414
  • 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. doi:https://doi.org/10.1016/j.strueco.2021.11.018
  • Milberg , W., & Winkler, D. (2011). Economic and social upgrading in global production networks: Problems of theory and measurement. International Labour Review, 150(3-4), 341-365.
  • Nassani, A., Aldakhil, A., Abro, M., & Zaman, K. (2017). Environmental Kuznets curve among BRICS countries: Spot lightening finance, transport, energy and growth factors. Journal of Cleaner Production, 154, 474-487.
  • Pesaran, M. (2004). General diagnostic tests for cross section dependence in panels. Institute For The Study of Labor. Peter, J. (2002). Commercial cultures: transcending the cultural and the economic. Progress In Human Geography, 26(1), 3-18.
  • Rodrigue, J.‐p. (2005). Transportation and the geographical and functional integration of global production networks. Growth and Change, 37(4), 510-525.
  • Rodrigue, J.-P., & Hesse, M. (2006). Guest editorial: global production networks and the role of logistics and transportation. Growth and Change, 37(4), 499-509.
  • Srivastava, S. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53-80. doi:https://doi.org/10.1111/j.1468-2370.2007.00202.x
  • Tang, S., Wang, W., Yan, H., & Hao, G. (2015). Low carbon logistics: Reducing shipment frequency to cut carbon emissions. International Journal of Production Economics, 164, 339-350. doi:https://doi.org/10.1016/j.ijpe.2014.12.008
  • World Bank. (2021). The world bank understanding poverty: Global value chains. Erişim adresi: https://www.worldbank.org/en/topic/global-value-chains#:~:text=Participation%20in%20global%20value%20chains,job%20creation%20and%20economic%20growth.&text=GVCs%20can%20deliver.-,Participation%20in%20global%20value%20chains%20(GVCs)%2C%20the%20internationa
  • Yeung, H.-c. (2009). Regional development and the competitive dynamics of global production networks: an East Asian perspective. Regional Studies, 43(3), 325-351.
  • 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. doi:https://doi.org/10.1016/j.jclepro.2016.12.150

THE RELATIONSHIP BETWEEN PARTICIPATION IN GLOBAL PRODUCTION NETWORKS AND ENVIRONMENTAL POLLUTION ORIGINATING FROM THE LOGISTICS INDUSTRY

Yıl 2022, , 151 - 167, 30.07.2022
https://doi.org/10.31671/doujournal.1105198

Öz

Determining environmental pollution and the factors causing this pollution is important for the sustainability of economic activities. While this study deals with the environment within the framework of the logistics sector, it tries to understand logistics by placing it within the framework of production networks theory. So, this study examined the environmental pollution caused by the logistics industry, which mediates participation in global production networks. The sample of the study consists of 38 Islamic countries and time range of the data covers 2000-2018. The research method is panel cointegration. The results show that the participation of Islamic countries in global production networks is not environmentally friendly. A linear relationship has been determined in the long run between participation in global production networks and gases that are harmful to the environment originating from the logistics industry. Accordingly, the results show that CO2 and GHG arising from logistics industry and imports of intermediate goods, which represent participation in global production networks, move together in the long run. This result indicates that participation in global production networks for economic development may harm the sustainability of Islamic countries and hinder their development in the long run.

Kaynakça

  • Barrett, H., Browne, A., & Ilbery, B. (2004). From farm to supermarket: the trade in fresh horticultural produce from sub-Saharan Africa to the United Kingdom. A. Hughes S. Reimer (Ed), Geographies of Commodity Chains (pp. 31-50). Routledge London.
  • Barrientos, S., Gereffi, G., & Rossi, A. (2010). Economic and social upgrading in global production networks: Developing a framework for analysis. International Labor Review, 150, (3-4), 319-340.
  • Bekhet, H., & Othman, N. (2018). The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia. Energy Economics,72, 47-61.
  • Beysenbaev, R., & Dus, Y. (2020). Proposals for improving the Logistics Performance Index. The Asian Journal of Shipping and Logistics, 36(1), 34-42. doi:https://doi.org/10.1016/j.ajsl.2019.10.001
  • Boukherroub, T., Ruiz, A., Guinet, A., & Fondrevelle, J. (2015). An integrated approach for sustainable supply chain planning. Computers & Operations Research, 54, 180-194.
  • Breusch, T., & Pagan, A. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  • Coe, N., & Yeung, H.-c. (2015). Global production networks theorizing economic development in an ınterconnected world. Oxford: Oxford University Press.
  • Coe, N., Dicken, P., & Hess, M. (2008). Introduction: global production networks—debates and challenges. Journal of Economic Geography, 8(3), 267-269.
  • Coe, N., Hess, M., Yeung, H.-c., Dicken, P., & Henderson, J. (2004). Globalizing’ regional development: a global production networks perspective. Transactions of The Institute of British Geographers, 29(4), 468–484.
  • Hall, P., Hesse, M., & Jean-Paul, M. (2006). Reexploring the interface between economic and transport geography. Environment and Planning, 38(8), 1401-1408.
  • Hamelinck, C., Suurs, R., & Faaij, A. (2005). International bioenergy transport costs and energy balance. Biomass and Bioenergy, 29(2), 114-134.
  • Hughes, A. (2000). Retailers, knowledges and changing commodity networks: the case of the cut flower trade. Geoforum, 31(2), 175-190.
  • Islam, M., Moeinzadeh, S., Tseng, M.-L., & Tan, K. (2020). A literature review on environmental concerns in logistics: trends and future challenges. International Journal of Logistics Research and Applications, 24(2), 126-151. doi:10.1080/13675567.2020.1732313
  • Kao, C., Chiang, M.‐H., & Chen, B. (1999). International R&D spillovers: an application of estimation and inference in panel cointegration. Oxford Bulletin of Economics and Statistics, 61(S1), 691-709.
  • Karaduman, H., Karaman-Akgül, A., Çağlar, M., & Akbaş , H. (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. doi:https://doi.org/10.1108/IJCCSM-05-2020-0041
  • Kee-hung, L., & Wong, C. (2012). Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters. Omega, 40(3), 267-282.
  • Khan, S., & Qianli, D. (2017). Does national scale economic and environmental indicators spur logistics performance? Evidence from UK. Environmental Science and Pollution Research, 24(34), 26692-26705. doi:https://doi.org/10.1007/s11356-017-0222-9
  • Khan, S., 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, 24(2), 1518-1531.
  • Khan, S., 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. doi:https://doi.org/10.1016/j.jclepro.2018.02.226
  • Knorringa, P., & Pegler, L. (2006). Globalisation, firm upgrading and impacts on labour. Tijdschrift Voor Economische En Sociale Geografie, 97(5), 470-479.
  • Li, X., Sohail, S., Majeed, M., & Ahmad, W. (2021). Green logistics, economic growth, and environmental quality: evidence from one belt and road initiative economies. Environmental Science and Pollution Research, 28(24), 30664–30674.
  • 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. doi:https://doi.org/10.1016/j.jclepro.2018.08.310
  • Liu, S., He, N., Shi, Y., & Li, G. (2021). The roles logistics agglomeration and technological progress play in air pollution -- New evidence in sub-regions of Chongqing, China. Journal of Cleaner Production, 317, 128414. doi:https://doi.org/10.1016/j.jclepro.2021.128414
  • 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. doi:https://doi.org/10.1016/j.strueco.2021.11.018
  • Milberg , W., & Winkler, D. (2011). Economic and social upgrading in global production networks: Problems of theory and measurement. International Labour Review, 150(3-4), 341-365.
  • Nassani, A., Aldakhil, A., Abro, M., & Zaman, K. (2017). Environmental Kuznets curve among BRICS countries: Spot lightening finance, transport, energy and growth factors. Journal of Cleaner Production, 154, 474-487.
  • Pesaran, M. (2004). General diagnostic tests for cross section dependence in panels. Institute For The Study of Labor. Peter, J. (2002). Commercial cultures: transcending the cultural and the economic. Progress In Human Geography, 26(1), 3-18.
  • Rodrigue, J.‐p. (2005). Transportation and the geographical and functional integration of global production networks. Growth and Change, 37(4), 510-525.
  • Rodrigue, J.-P., & Hesse, M. (2006). Guest editorial: global production networks and the role of logistics and transportation. Growth and Change, 37(4), 499-509.
  • Srivastava, S. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53-80. doi:https://doi.org/10.1111/j.1468-2370.2007.00202.x
  • Tang, S., Wang, W., Yan, H., & Hao, G. (2015). Low carbon logistics: Reducing shipment frequency to cut carbon emissions. International Journal of Production Economics, 164, 339-350. doi:https://doi.org/10.1016/j.ijpe.2014.12.008
  • World Bank. (2021). The world bank understanding poverty: Global value chains. Erişim adresi: https://www.worldbank.org/en/topic/global-value-chains#:~:text=Participation%20in%20global%20value%20chains,job%20creation%20and%20economic%20growth.&text=GVCs%20can%20deliver.-,Participation%20in%20global%20value%20chains%20(GVCs)%2C%20the%20internationa
  • Yeung, H.-c. (2009). Regional development and the competitive dynamics of global production networks: an East Asian perspective. Regional Studies, 43(3), 325-351.
  • 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. doi:https://doi.org/10.1016/j.jclepro.2016.12.150
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonomi
Bölüm Araştırma Makalesi
Yazarlar

Mücahit Çitil 0000-0002-6788-7115

Yayımlanma Tarihi 30 Temmuz 2022
Gönderilme Tarihi 18 Nisan 2022
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Çitil, M. (2022). THE RELATIONSHIP BETWEEN PARTICIPATION IN GLOBAL PRODUCTION NETWORKS AND ENVIRONMENTAL POLLUTION ORIGINATING FROM THE LOGISTICS INDUSTRY. Doğuş Üniversitesi Dergisi, 23(2), 151-167. https://doi.org/10.31671/doujournal.1105198