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YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME

Year 2022, Volume: 12 Issue: 24, 322 - 352, 28.11.2022
https://doi.org/10.53092/duiibfd.1133548

Abstract

Bu çalışma genel lojistik performansın yanı sıra yeşil lojistik performansın da Dünya Yönetişim Göstergelerinden nasıl etkilendiği sorusu çerçevesine şekillenmiştir. Bu amaçla, gelişme aşamaları birbirine yakınsayan 14 gelişmekte olan ülkenin 1996-2020 yılları arasındaki verisi kullanılmıştır. Tahmin yöntemi olarak GMM (Generalized Method of Moments) ve SGMM (System Generalized Method of Moments) tahmincileri tercih edilmiştir. Elde edilen sonuçlar, hükümetin etkinliği, düzenleme kalitesi, hukukun üstünlüğü ve yolsuzluğu önleme göstergelerindeki iyileşmenin hem genel lojistik performansı hem de yeşil lojistik performansı arttırdığını ortaya koymuştur. Buna karşın politik İstikrar ve ifade özgürlüğü- hesap verilebilirlik göstergelerinin hem genel lojistik performans hem de yeşil lojistik performans üzerinde herhangi bir etkiye sahip olduğuna yönelik bir çıkarımda bulunmanın zor olduğunu söylemek mümkündür.

References

  • Acemoglu, D., Johnson, S., & Robinson, J. (2001). The colonial origins of comparative development: An empirical investigation. American economic review , 1369-1401.
  • Al-Marhubi, F. (2005). Openness and governance: Evidence across countries. Oxford Development Studies, 453-471. doi:https://doi.org/10.1080/13600810500199269
  • Anderson , T., & Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of econometrics, 18(1), 47-82. doi:https://doi.org/10.1016/0304-4076(82)90095-1
  • Apaza, C. (2009). Measuring governance and corruption through the worldwide governance indicators: Critiques, responses, and ongoing scholarly discussion. PS: Political Science & Politics, 139-143. doi:doi:10.1017/S1049096509090106
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277-297.
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of econometrics, 68(1), 29-51. doi:https://doi.org/10.1016/0304-4076(94)01642-D
  • Arvis, J.-F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., & Kiiski, T. (2018). Connecting to Compete 2018 Trade Logistics in the Global Economy The Logistics Performance Index and Its Indicators. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.
  • Bersch, K., & Botero, S. (2014). Measuring governance: Implications of conceptual choices. The European Journal of Development Research, 124-141. doi:https://doi.org/10.1057/ejdr.2013.49
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115-143. doi:https://doi.org/10.1016/S0304-4076(98)00009-8
  • Bolumole, Y., Closs, D., & Rodammer, F. (2015). The Economic Development Role of Regional Logistics Hubs: A Cross-Country Study of Interorganizational Governance Models. Journal of Business Logistics, 182–198. doi:10.1111/jbl.12088
  • Bozkurt , C., & Funda , M. (2019). Türkiye ve G8 ülkelerinin lojistik performans endeksine göre karşılaştırılması. İşletme ve İktisat Çalışmaları Dergisi, 7(2), 107-117. https://dergipark.org.tr/en/pub/iicder/issue/48806/621310?publisher=http-www-cag-edu-tr-ilhan-ozturk adresinden alındı
  • Eygü, H., & Kılınç, A. (2020). OECD ülkelerinin lojistik performans endekslerinin ridge regresyon analizi ile araştırılması. Trakya Üniversitesi Sosyal Bilimler Dergisi, 22(2), 899-919. doi:https://doi.org/10.26468/trakyasobed.688737
  • Goel, R., Mazhar, U., & Saunoris, J. (2020). Identifying the corrupt cog in the wheel: Dimensions of supply chain logistics and cross-country corruption. Australian Economic Papers , 60(4), 693-709. doi:10.1111/1467-8454.12226
  • Goldstone, J. (1996). Saving the environment (and political stability too): Institutional responses for developing nations. Environmental Change and Security Report 2, 33-34.
  • Guner, S., & Coskun, E. (2012). Comparison of impacts of economic and social factors on countries' logistics performances: a study with 26 OECD countries. Research in logistics & production, 330-343.
  • Huque, A., & Jongruck, P. (2018). The challenge of assessing governance in Asian states: Hong Kong in the Worldwide Governance Indicators ranking. Asian Journal of Political Science, 276-291.
  • Knack, S. (2006). Measuring corruption in Eastern Europe and Central Asia: A critique of the cross-country indicators. World Bank Publications.
  • Koh, B., Wong, W., Tang, C., & Lim, M. (2018). The double-edge resource-based view of logistics performance and governance in Asian countries. Asia Pacific Journal of Marketing and Logistics, 652-668.
  • Kurtz, M., & Schrank, A. (2007). Growth and governance: Models, measures, and mechanisms. The Journal of Politics, 538-554. doi:https://doi.org/10.1111/j.1468-2508.2007.00549.x
  • Larson, P. (2020). Corruption, gender inequality and logistics performance. The International Journal of Logistics Management, 31(2), 381-397.
  • Levchenko, A. (2007). Institutional quality and international trade. The Review of Economic Studies, 791-819. doi:https://doi.org/10.1111/j.1467-937X.2007.00435.x
  • Méon, P.‐G., & Sekkat, K. (2008). Institutional quality and trade: which institutions? Which trade? Economic Inquiry, 227-240. doi:https://doi.org/10.1111/j.1465-7295.2007.00064.x
  • Ojala, L., & Celebi, D. (2015). The World Bank’s Logistics Performance Index (LPI) and drivers of logistics performance. OECD.
  • Raimbault, N. (2019). From regional planning to port regionalization and urban logistics. The inland port and the governance of logistics development in the Paris region. Journal of Transport Geography, 205-213. doi:https://doi.org/10.1016/j.jtrangeo.2019.06.005
  • Rodrik, D. (2009). Tek Ekonomi Çok Reçete. (N. Domaniç, Çev.) Ankara: Efil Yayınevi.
  • Rodrik, D., Subramanian, A., & Trebbi, F. (2004). Institutions rule: the primacy of institutions over geography and integration in economic development. Journal of economic growth, 131-165. doi:https://doi.org/10.1023/B:JOEG.0000031425.72248.85
  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The stata journal, 9(1), 86-136. doi:https://doi.org/10.1177/1536867X0900900106
  • Seabra, F., Flores, G., & Gomes, K. (2016). Effects of corruption and logistics performance inefficiencies on container throughput: the Latin America case. Transnational Corporations, 44-57.
  • Sudibyo, Y., & Jianf, S. (2015). Institutional theory for explaining corruption: An empirical study on public sector organizations in China and Indonesia. Corporate Ownership and Control, 817-958.
  • Tang, C., & Abosedra, S. (2019). Logistics performance, exports, and growth: Evidence from Asian economies. Research in Transportation Economics, 100743. doi:https://doi.org/10.1016/j.retrec.2019.100743
  • Tavakoli, G., Babaei, S., & Sajadieh, A. (2020). An Explanation and Analysis of the Indicators of Good Governance in the Ministry of Defense and Iranian Armed Forces Logistics. Defensive Researches and Management, 73-102.
  • Thomas, M. (2010). What do the worldwide governance indicators measure? The European Journal of Development Research, 31-54. doi:https://doi.org/10.1057/ejdr.2009.32
  • Treisman, D. (2000). The causes of corruption: a cross-national study. Journal of public economics, 399-457. doi:https://doi.org/10.1016/S0047-2727(99)00092-4
  • Uca, N., Ince, H., & Sumen, H. (2016). The Mediator Effect of Logistics Performance Index on the Relation Between Corruption Perception Index and Foreign Trade Volume. European Scientific Journal, 12(25), 37-45. doi:10.19044/esj.2016.v12n25p37
  • Uyar, A., Fernandes, V., & Kuzey, C. (2021). The mediating role of corporate governance between public governance and logistics performance: International evidence. Transport Policy, 37-47. doi:https://doi.org/10.1016/j.tranpol.2021.05.023
  • Wang, Q., Huo, B., & Zhao, X. (2020). What Makes Logistics Integration More Effective? Governance from Contractual and Relational Perspectives. Journal of Business Logistics, 259–281. doi:10.1111/jbl.12236
  • Wei, S.-J. (2000). Natural openness and good government. World Bank Policy Research Working Paper.
  • Wong, W., & Tang, C. (2018). The major determinants of logistic performance in a global perspective: evidence from panel data analysis. International Journal of Logistics Research and Applications, 431-443. doi:https://doi.org/10.1080/13675567.2018.1438377
  • World Bank. (2022, Ocak 15). Worldwide Governance Indicators. World Bank: http://info.worldbank.org/governance/wgi/Home/Documents adresinden alındı Yerdelen Tatoğlu, F. (2020). İleri Panel Veri Analizi (4 b.). İstanbul: Beta Yayıncılık.

A REVIEW ON THE RELATIONSHIP BETWEEN LOGISTICS PERFORMANCE AND GOVERNANCE QUALITY

Year 2022, Volume: 12 Issue: 24, 322 - 352, 28.11.2022
https://doi.org/10.53092/duiibfd.1133548

Abstract

This study is shaped around the question of how World Governance Indicators affect green logistics performance as well as overall logistics performance. For this purpose, data from 14 developing countries have been used whose development stages converge. The data are annual and cover between 1996 and 2020. GMM (Generalized Method of Moments) and SGMM (System Generalized Method of Moments) estimators have been preferred as estimation methods. The results have revealed that the improvement in government efficiency, regulatory quality, rule of law and anti-corruption indicators improved both overall logistics performance and green logistics performance. On the other hand, it is possible to say that it is difficult to make an inference that political stability and voice and accountability indicators have any effect on both general logistics performance and green logistics performance.

References

  • Acemoglu, D., Johnson, S., & Robinson, J. (2001). The colonial origins of comparative development: An empirical investigation. American economic review , 1369-1401.
  • Al-Marhubi, F. (2005). Openness and governance: Evidence across countries. Oxford Development Studies, 453-471. doi:https://doi.org/10.1080/13600810500199269
  • Anderson , T., & Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of econometrics, 18(1), 47-82. doi:https://doi.org/10.1016/0304-4076(82)90095-1
  • Apaza, C. (2009). Measuring governance and corruption through the worldwide governance indicators: Critiques, responses, and ongoing scholarly discussion. PS: Political Science & Politics, 139-143. doi:doi:10.1017/S1049096509090106
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277-297.
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of econometrics, 68(1), 29-51. doi:https://doi.org/10.1016/0304-4076(94)01642-D
  • Arvis, J.-F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., & Kiiski, T. (2018). Connecting to Compete 2018 Trade Logistics in the Global Economy The Logistics Performance Index and Its Indicators. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.
  • Bersch, K., & Botero, S. (2014). Measuring governance: Implications of conceptual choices. The European Journal of Development Research, 124-141. doi:https://doi.org/10.1057/ejdr.2013.49
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115-143. doi:https://doi.org/10.1016/S0304-4076(98)00009-8
  • Bolumole, Y., Closs, D., & Rodammer, F. (2015). The Economic Development Role of Regional Logistics Hubs: A Cross-Country Study of Interorganizational Governance Models. Journal of Business Logistics, 182–198. doi:10.1111/jbl.12088
  • Bozkurt , C., & Funda , M. (2019). Türkiye ve G8 ülkelerinin lojistik performans endeksine göre karşılaştırılması. İşletme ve İktisat Çalışmaları Dergisi, 7(2), 107-117. https://dergipark.org.tr/en/pub/iicder/issue/48806/621310?publisher=http-www-cag-edu-tr-ilhan-ozturk adresinden alındı
  • Eygü, H., & Kılınç, A. (2020). OECD ülkelerinin lojistik performans endekslerinin ridge regresyon analizi ile araştırılması. Trakya Üniversitesi Sosyal Bilimler Dergisi, 22(2), 899-919. doi:https://doi.org/10.26468/trakyasobed.688737
  • Goel, R., Mazhar, U., & Saunoris, J. (2020). Identifying the corrupt cog in the wheel: Dimensions of supply chain logistics and cross-country corruption. Australian Economic Papers , 60(4), 693-709. doi:10.1111/1467-8454.12226
  • Goldstone, J. (1996). Saving the environment (and political stability too): Institutional responses for developing nations. Environmental Change and Security Report 2, 33-34.
  • Guner, S., & Coskun, E. (2012). Comparison of impacts of economic and social factors on countries' logistics performances: a study with 26 OECD countries. Research in logistics & production, 330-343.
  • Huque, A., & Jongruck, P. (2018). The challenge of assessing governance in Asian states: Hong Kong in the Worldwide Governance Indicators ranking. Asian Journal of Political Science, 276-291.
  • Knack, S. (2006). Measuring corruption in Eastern Europe and Central Asia: A critique of the cross-country indicators. World Bank Publications.
  • Koh, B., Wong, W., Tang, C., & Lim, M. (2018). The double-edge resource-based view of logistics performance and governance in Asian countries. Asia Pacific Journal of Marketing and Logistics, 652-668.
  • Kurtz, M., & Schrank, A. (2007). Growth and governance: Models, measures, and mechanisms. The Journal of Politics, 538-554. doi:https://doi.org/10.1111/j.1468-2508.2007.00549.x
  • Larson, P. (2020). Corruption, gender inequality and logistics performance. The International Journal of Logistics Management, 31(2), 381-397.
  • Levchenko, A. (2007). Institutional quality and international trade. The Review of Economic Studies, 791-819. doi:https://doi.org/10.1111/j.1467-937X.2007.00435.x
  • Méon, P.‐G., & Sekkat, K. (2008). Institutional quality and trade: which institutions? Which trade? Economic Inquiry, 227-240. doi:https://doi.org/10.1111/j.1465-7295.2007.00064.x
  • Ojala, L., & Celebi, D. (2015). The World Bank’s Logistics Performance Index (LPI) and drivers of logistics performance. OECD.
  • Raimbault, N. (2019). From regional planning to port regionalization and urban logistics. The inland port and the governance of logistics development in the Paris region. Journal of Transport Geography, 205-213. doi:https://doi.org/10.1016/j.jtrangeo.2019.06.005
  • Rodrik, D. (2009). Tek Ekonomi Çok Reçete. (N. Domaniç, Çev.) Ankara: Efil Yayınevi.
  • Rodrik, D., Subramanian, A., & Trebbi, F. (2004). Institutions rule: the primacy of institutions over geography and integration in economic development. Journal of economic growth, 131-165. doi:https://doi.org/10.1023/B:JOEG.0000031425.72248.85
  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The stata journal, 9(1), 86-136. doi:https://doi.org/10.1177/1536867X0900900106
  • Seabra, F., Flores, G., & Gomes, K. (2016). Effects of corruption and logistics performance inefficiencies on container throughput: the Latin America case. Transnational Corporations, 44-57.
  • Sudibyo, Y., & Jianf, S. (2015). Institutional theory for explaining corruption: An empirical study on public sector organizations in China and Indonesia. Corporate Ownership and Control, 817-958.
  • Tang, C., & Abosedra, S. (2019). Logistics performance, exports, and growth: Evidence from Asian economies. Research in Transportation Economics, 100743. doi:https://doi.org/10.1016/j.retrec.2019.100743
  • Tavakoli, G., Babaei, S., & Sajadieh, A. (2020). An Explanation and Analysis of the Indicators of Good Governance in the Ministry of Defense and Iranian Armed Forces Logistics. Defensive Researches and Management, 73-102.
  • Thomas, M. (2010). What do the worldwide governance indicators measure? The European Journal of Development Research, 31-54. doi:https://doi.org/10.1057/ejdr.2009.32
  • Treisman, D. (2000). The causes of corruption: a cross-national study. Journal of public economics, 399-457. doi:https://doi.org/10.1016/S0047-2727(99)00092-4
  • Uca, N., Ince, H., & Sumen, H. (2016). The Mediator Effect of Logistics Performance Index on the Relation Between Corruption Perception Index and Foreign Trade Volume. European Scientific Journal, 12(25), 37-45. doi:10.19044/esj.2016.v12n25p37
  • Uyar, A., Fernandes, V., & Kuzey, C. (2021). The mediating role of corporate governance between public governance and logistics performance: International evidence. Transport Policy, 37-47. doi:https://doi.org/10.1016/j.tranpol.2021.05.023
  • Wang, Q., Huo, B., & Zhao, X. (2020). What Makes Logistics Integration More Effective? Governance from Contractual and Relational Perspectives. Journal of Business Logistics, 259–281. doi:10.1111/jbl.12236
  • Wei, S.-J. (2000). Natural openness and good government. World Bank Policy Research Working Paper.
  • Wong, W., & Tang, C. (2018). The major determinants of logistic performance in a global perspective: evidence from panel data analysis. International Journal of Logistics Research and Applications, 431-443. doi:https://doi.org/10.1080/13675567.2018.1438377
  • World Bank. (2022, Ocak 15). Worldwide Governance Indicators. World Bank: http://info.worldbank.org/governance/wgi/Home/Documents adresinden alındı Yerdelen Tatoğlu, F. (2020). İleri Panel Veri Analizi (4 b.). İstanbul: Beta Yayıncılık.
There are 39 citations in total.

Details

Primary Language Turkish
Subjects Economics
Journal Section Research Article
Authors

Mücahit Çitil 0000-0002-6788-7115

Publication Date November 28, 2022
Submission Date June 21, 2022
Acceptance Date September 22, 2022
Published in Issue Year 2022 Volume: 12 Issue: 24

Cite

APA Çitil, M. (2022). YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME. Dicle Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 12(24), 322-352. https://doi.org/10.53092/duiibfd.1133548
AMA Çitil M. YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. November 2022;12(24):322-352. doi:10.53092/duiibfd.1133548
Chicago Çitil, Mücahit. “YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME”. Dicle Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 12, no. 24 (November 2022): 322-52. https://doi.org/10.53092/duiibfd.1133548.
EndNote Çitil M (November 1, 2022) YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 12 24 322–352.
IEEE M. Çitil, “YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME”, Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 12, no. 24, pp. 322–352, 2022, doi: 10.53092/duiibfd.1133548.
ISNAD Çitil, Mücahit. “YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME”. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 12/24 (November 2022), 322-352. https://doi.org/10.53092/duiibfd.1133548.
JAMA Çitil M. YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2022;12:322–352.
MLA Çitil, Mücahit. “YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME”. Dicle Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, vol. 12, no. 24, 2022, pp. 322-5, doi:10.53092/duiibfd.1133548.
Vancouver Çitil M. YEŞİL LOJİSTİK VE LOJİSTİK PERFORMANS İLE YÖNETİŞİM KALİTESİ ARASINDAKİ İLİŞKİYE YÖNELİK BİR İNCELEME. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2022;12(24):322-5.

Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Dicle University, Journal of Economics and Administrative Sciences