Yeşil Lojistiğin Rekabetçilik Üzerindeki Etkisi: Gelişmekte Olan Ülkelere Yönelik Bir Panel Veri Analizinden Kanıtlar

Çevreye verilen zararların belki de en başında fosil yakıtların kullanımından kaynaklanan ve çevreye bırakılan gazlar gelmektedir. Fosil yakıtlar lojistik faaliyetlerde yoğun bir şekilde kullanılmaktadır. Bu çalışmanın temel amacı seçili gelişmekte olan ülkelerin yeşil lojistik performansları ile imalat sanayi ürünlerinin rekabet edebilirliği arasındaki ilişkiyi inceleyerek bu literatüre katkı sağlamaktır. Çevreci lojistik faaliyetin ölçütü olarak taşımacılıktan kaynaklanan karbon emisyon miktarı ve rekabetçilik ölçütü olarak imalat sanayi ürünlerine ait Açıklanmış Karşılaştırmalı Üstünlükler Endeksi (Revealed Comperative Adventage Index) kullanılmıştır. Açıklayıcı değişkenler olarak işçi başına üretkenlik, 15-65 yaş arasındaki nüfusun haftalık çalışma süresi ve doğrudan yabancı yatırımlar kullanılmıştır. 38 gelişmekte olan ülkenin 2010-2018 yılları arasındaki verileri kullanılmıştır. Panel veri yöntemiyle yapılan analizler sonucunda yeşil lojistiğin ülkelerin imalat sanayi ürünlerinin rekabetçiliğini olumlu bir şekilde etkilediği ortaya konulmuştur. Bu sonuç gelişmekte olan ülkelerin çevre standartlarından tavizler vermeden de uluslararası rekabet avantajı elde edebileceklerini desteklemektedir.

The Impact of Green Logistics on Competitiveness: Evidence from a Panel Data Analysis for Developing Countries

Perhaps the most important of the damages to the environment is the gases caused using fossil fuels and released into the environment. Fossil fuels are used extensively in logistics activities. The main purpose of this study is to contribute to this literature by examining the relationship between the green logistics performance of selected developing countries and the competitiveness of manufacturing industry products. The amount of carbon emissions derived from transportation has been used as a measure of green logistic performance, and the Revealed Comparative Advantage Index of manufacturing industry products used as a competitiveness proxy. Also, productivity per worker, weekly working hours of the population aged 15-65 and foreign direct investment have been used as explanatory variables. The data set includes 38 developing countries and covers between 2010 and 2018. As a result of the analyzes made with the panel data method, it has been revealed that green logistics positively affects the competitiveness of the manufacturing industry products of the countries. This result supports those developing countries can gain international competitive advantage without making concessions on environmental standards.

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  • Akyüz, K. C. (2019). Açıklanmış Karşılaştırmalı Üstünlükler İndeksi Kullanılarak Kağıt ve Kağıt Ürünleri Sanayi Sektörünün Rekabet Gücünün Belirlenmesi. Bartın Orman Fakultesi Dergisi, 21(1), 168.
  • Altay, B., & Gürpınar, K. (2008). Açıklanmış karşılaştırmalı üstünlükler ve bazı rekabet gücü endeksleri:Türk mobilya sektörü üzerine bir uygulama. Afyon Kocatepe Üniversitesi, İ.İ.B.F. Dergisi, 10(1), 264.
  • Bakan, S., Akkaya, O., & Yalçın, T. (2019). Açıklanmış Karşılaştırmalı Üstünlükler Endeksi:Türkiye Taşıma Araçları Üzerine Bir Uygulama. Sosyal Bilimler Araştırmaları Dergisi, 2(2), 195.
  • Baltagi, B., & Li, Q. (1991). A joint test for serial correlation and random individual effects. Statistics & Probability Letters , 277-280.
  • Bashimow, G. (2016). Turkey’s Export Performance of Tomato and Competitiveness. Alınteri Zirai Bilimler Dergisi, 8(1), 2.
  • Bhargava, A., Franzini, L., & Narendranathan, W. (1982). Serial correlation and the fixed effects model. The Review of Economic Studies , 533-549.
  • Bojnec, Š., & Fertő, I. (2012). Complementarities of trade advantage and trade competitiveness measures. Applied Economics, 44(4), 401.
  • Brown, M., & Forsythe, A. (364-367). Robust tests for the equality of variances. Journal of the American Statistical Association , 1974.
  • Campos, J., & Hardwick, M. (2006). A traceability information model for CNC manufacturing. Computer-Aided Design , 540-551.
  • Cosimato, S., & Troisi, O. (2015). Green supply chain management: Practices and tools for logistics competitiveness and sustainability. The TQM Journal, 256-276. doi:https://doi.org/10.1108/TQM-01-2015-0007
  • D’Aleo, V., & Sergi, B. (2017). Human factor: the competitive advantage driver of the EU’s logistics sector. International journal of production research, 642-655.
  • Dang, V., & Yeo, G. (2018). Weighing the key factors to improve Vietnam's logistics system. The Asian journal of shipping and logistics, 308-316. doi:https://doi.org/10.1016/j.ajsl.2018.12.004
  • Dekker, R., Bloemhof, J., & Mallidis, I. (2012). Operations Research for green logistics – An overview of aspects, issues,contributions and challenges. European Journal of Operational Research(219), 671.
  • Driscoll , J., & Kraay, A. (1998). Consistent covariance matrix estimation with spatially dependent panel. Review of Economics and Statistics, 549–560.
  • Hambalkova, M. (2006). The factors of competitiveness and the quantification of their impact on the export efficiency of grape and wine in the Slovak Republic. Agriculture Journals, 390.
  • Hausman, J. (1978). Specification tests in econometrics. Econometrica: Journal of the econometric society , 1251-1271.
  • Helo, P., & Ala-Harja, H. (2018). International Journal of Logistics Research and Applications. Green logistics in food distribution – a case study, 21(4), 465.
  • Jedliński, M. (2014). The position of green logistics in sustainable development of a smart green city. Procedia - Social and Behavioral Sciences(151), 104.
  • Khalid, Z., Naseer, M. A., Ullah, R., & Khan, S. (2021). Measuring the Global Trade Competitiveness of Pakistan’s Cotton Crop. Sarhad Journal of Agriculture, 37(1).
  • Kutlu, B. H., & Ercoşkun, Ö. Y. (2021). Türkiye’deki lojistik firmalarının yeşil lojistik uygulamaları üzerinden değerlendirilmesi. Eksen Dokuz Eylül Üniversitesi Mimarlık Fakültesi Dergis, 2(1), 54.
  • Lai, K.-h., & Wong, C. (2012a). Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters. Omega, 267-282. doi:https://doi.org/10.1016/j.omega.2011.07.002
  • Lai, K.-h., Wong, C., & Cheng, T. (2012b). Ecological modernisation of Chinese export manufacturing via green logistics management and its regional implications. Technological Forecasting and Social Change, 766-770. doi:https://doi.org/10.1016/j.techfore.2011.10.004
  • Li, F., Haasis, H.-D., & Dovbischuk, I. (2016). Challenges and solutions toward green logistics under EU-emission trading scheme. H.
  • Kotzab, J. Pannek, & K.-D. Thoben içinde, Dynamics in Logistics (s. 397-405.). Springer, Cham.
  • Martí, L., Martin, J., & Rosa , P. (2017). A DEA-logistics performance index. Journal of applied economics, 169-192. doi: https://doi.org/10.1016/S1514-0326(17)30008-9
  • McKinnon, A., Cullinane, S., Browne, M., & Whiteing, A. (2010). Green Logistics;Improving the environmental sustainability of logistics. New Delhi: Kogan Page Limited.
  • Mensah, Y. A., & Tang, L. (2021). The relationship among green human capital, green logistics practices, green competitiveness,social performance and financial performance. Journal of Manufacturing Technology Management, 32(7), 1377.
  • Moulton, B., & Randolph, W. (1989). Alternative tests of the error components model. Econometrica: Journal of the Econometric Society, 685-693.
  • Paul R. Murphy, J., & Knemeyer, A. M. (2015). Contemporary Logistics. England: Pearson Education Limited.
  • Pazirandeh, A., & Jafari, H. (2013). Making sense of green logistics. International Journal of Productivity and Performance Management, 62(8), 890.
  • Pazirandeh, A., & Jafari, H. (2013). Making sense of green logistics. International Journal of Productivity and Performance Management, 889-904.
  • Pesaran, M. (2004). General diagnostic tests for cross section dependence in panels. Working Papers in Economics.
  • Rodrigue, j. P., Slack, B., & Comtois, C. (2001). Green Supply Chain Management. London: SAGE Handbook of Transport Studies.
  • S.Ubeda, F.J.Arcelus, & J.Faulina. (2011). Green logistics at Eroski: A case study. International Journal of Production Economics, 131(1), 44.
  • Saroha, R. (2014). Green Logistics & its Significance in Modern Day Systems. International Review of Applied Engineering Research., 4(1), 90.
  • Sbihi, A., & Eglese, R. W. (2009). Combinatorial optimization and Green Logistics. Annals of Operations Research volume(175), 159.
  • Seroka-Stolka, O., & Ociepa-Kubicka, A. (2019). Green logistics and circular economy. Transportation Research Procedia(39), 472.
  • Şahinli, M. A. (2011). Açıklanmış Karşılaştırmalı Üstünlükler Endeksi e Türkiye Pamuk Endüstrisi Üzerine Bir Uygulama. SÜ İİBF Sosyal ve Ekonomik Araştırmalar Dergisi , 235-236.
  • Vollrath, T. L. (1991). A Theoretical Evaluation of Alternative Trade Intensity Measures of Revealed Comparative Advantage. Weltwirtschaftliches Archiv, 266.
  • Wang, D.-F., Dong, Q.-L., Peng, Z.-M., Khan, S., & Tarasov, A. (2018). The Green Logistics Impact on International Trade: Evidence from Developed and Developing Countries. Sustainability, 22-35.
  • Wong, W., Soh, K., Sinnandavar, C., & Mushtaq, N. (2018). Could the service consumption-production interface lift national logistics performance? Resources, Conservation and Recycling, 222-239. doi:https://doi.org/10.1016/j.resconrec.2016.10.002
  • Yingfei, Y., Mengze, Z., Zeyu, L., Ki-Hyung, B., Avotra, A., & Nawaz, A. (2021). Green logistics performance and infrastructure on service trade and environment-Measuring firm’s performance and service quality. Journal of King Saud University, 101683. doi:https://doi.org/10.1016/j.jksus.2021.101683
  • Zhang, W., hang, M., Zhang, W., & Zhou, Q. (2020). What influences the effectiveness of green logistics policies? A grounded theory analysis. Science of The Total Environment, 714.