TÜRKİYE VE AVRUPA BÖLGESİNDE EKO-VERİMLİLİK: DİNAMİK MEKÂNSAL PANEL VERİ YAKLAŞIMI

Yıl 2022, , 569 - 584, 26.10.2022

Mehmet Ali Yücel , Mehmet Kenan Terzioğlu

https://doi.org/10.51551/verimlilik.934024

Cited By: 3

Öz

Amaç: Bu çalışmada, Türkiye ve seçilmiş Avrupa ülkelerinin eko-verimlilik düzeylerinin belirlenmesinin yanı sıra makroekonomik değişkenlerle birlikte olan dönemsel (kısa-uzun) mekânsal etkileşiminin ortaya çıkarılması amaçlanmaktadır.

Yöntem: Makale kapsamında, çalışma grubunda bulunan ülkelerin mekânsal ilişkileri gözetilerek eko-verimlilik düzeylerinin belirlenmesi amacıyla iki model kurgulanmaktadır. Makalede, statik panel veri modellerinin aksine dönemsel (kısa-uzun) olarak doğrudan ve dolaylı etkilere ait sonuçları göstererek daha kapsayıcı sonuçlar veren dinamik mekânsal panel veri yöntemi kullanılmıştır.

Bulgular: Çalışma kapsamında gerçekleştirilen analiz sonucunda, ülkelerin eko-verimlilik ve göstergeleri arasında uzun ve kısa dönem dolaylı-doğrudan olarak anlamlı bir mekânsal ilişki elde edilmektedir. Bu kapsamda, çalışma grubunda bulunan ülkelerin mekânsal ilişkilerini gözeterek çevre dostu teknolojilerin kullanılabilirlik seviyelerini artırması, çevresel inovasyon uygulamalarını artırması ve eko-verimlilik politikalarının kalkınma politikalarıyla birlikte ele alınmasının gerekliliği anlaşılmaktadır.

Özgünlük: Çalışma, ülke düzeyinde dinamik mekânsal ilişiklerinin gözetilerek eko-verimliliğinin belirlenmesi konusunda ilk olma özelliğini taşımaktadır.

Anahtar Kelimeler

Sürdürülebilir Kalkınma, Çevresel Sürdürülebilirlik, Eko-Verimlilik, Dinamik Mekânsal Panel Veri

ECO-EFFICIENCY IN EUROPEAN REGIONS AND TÜRKİYE: DYNAMIC SPATIAL PANEL DATA APPROACH

Öz

Purpose: In this study, it is aimed to determine the eco-efficiency levels of Türkiye and selected European countries, as well as to reveal the periodic (short-long) spatial interaction with macroeconomic variables.

Methodology: Within the scope of the article, two models are constructed in order to determine the eco-efficiency levels by considering the spatial relations of the countries in the study group. In article, the dynamic spatial panel data method, which gives more inclusive results by showing the results of direct and indirect effects periodically (short-long) unlike the static panel data models, is used.

Findings: As a result of the analysis carried out within the scope of the study, a long and short-term indirect-directly significant spatial relationship is obtained between the eco-efficiency and indicators of the countries.In this context, it is understood that the countries in the study group should increase the usability levels of environmentally friendly technologies by considering their spatial relations, increase environmental innovation practices, and consider eco-efficiency policies together with development policies.

Originality: The study is the first to determine environmental efficiency by taking into account its dynamic spatial relations at the country level. 

Anahtar Kelimeler

Sustainable Development, Environmental Sustainability, Eco-Efficiency, Dynamic Spatial Panel Data

Kaynakça

• Alves, J.L.S. ve Denise D.M. (2015). Eco-Efficiency in Micro-Enterprises and Small Firms: A Case Study in the Automotive Services Sector, Journal of Cleaner Production, 108, 595-602.
• Anselin, L., Julie, G. ve Hubert, J. (2008). Spatial Panel Econometrics, The Econometrics of Panel Data, Springer, Berlin, Heidelberg, 625-660.
• Anselin, L. (1988). Spatial Econometrics: Methods and Models, Kluwer Academic Boston, MA.
• Carvalho, H., Govindan, K., Azevedo, S.G. ve Cruz-Machado, V. (2017). Modelling Green and Lean Supply Chains: An Eco-Efficiency Perspective, Resources, Conservation and Recycling, 120, 75-87.
• Charmondusit, K., Phatarachaisakul, S. ve Prasertpong P. (2014). The Quantitative Eco-Efficiency Measurement for Small and Medium Enterprise: A Case Study of Wooden Toy Industry, Clean Technologies and Environmental Policy, 16(5), 935-945.
• Côté, R., Booth, A. ve Louis, B. (2006). Eco-Efficiency and SMEs in Nova Scotia, Canada, Journal of Cleaner Production, 14(6-7), 542-550.
• Darmofal, D. (2006). Spatial Econometrics and Political Science, Society for Political Methodology Working Paper, Archive: http://polmeth.wustl.edu/workingpapers.php.
• De Almeida Guimarães, V. ve Junior, I.C.L. (2017). Performance Assessment and Evaluation Method for Passenger Transportation: A Step Toward Sustainability, Journal of Cleaner Production, 142, 297-307.
• Demirkiran, S., Yücel, M.A. ve Terzioğlu, K.M. (2020). Dijitalleşmenin Düzenleyici Kalite Üzerindeki Etkisi, SADAB 7th International Conference on Social Researches and Behavioral Sciences, Ekim 2020, Antalya, Türkiye.
• Elkington, J. (1998). Cannibals with Forks: Triple Bottom Line of 21st Century Business, New Society Publishers, Grabiola Island.
• Geng, Y., Fu, J., Sarkis, J. ve Xue, B. (2012). Towards a National Circular Economy Indicator System in China: An Evaluation and Critical Analysis, Journal of Cleaner Production, 23(1), 216-224.
• Getis, A. ve Aldstadt, J. (2004). Constructing the Spatial Weights Matrix Using a Local Statistic, Geographical Analysis 36(2), 90-104.
• Hadian, S. ve Madani, K. (2015). A System of Systems Approach to Energy Sustainability Assessment: Are All Renewables Really Green?, Ecological Indicators, 52, 194-206.
• Hoffrén, J. ve Apajalahti E.L. (2009). Emergent Eco‐Efficiency Paradigm in Corporate Environment Management, Sustainable Development, 17(4), 233-243.
• Huang, J., Yang, X., Cheng, G. ve Wang, S. (2014). A Comprehensive Eco-Efficiency Model and Dynamics of Regional Eco-Efficiency in China, Journal of Cleaner Production, 67, 228-238.
• Huang, J., Yang, X., Cheng, G. ve Wang, S. (2014). A Comprehensive Eco-Efficiency Model and Dynamics of Regional Eco-Efficiency in China, Journal of Cleaner Production, 67, 228-238.
• Jollands, N., Lermit, J. ve Patterson, M. (2004). Aggregate Eco-Efficiency Indices for New Zealand- A Principal Components Analysis, Journal of Environmental Management, 73, 293-305.
• Kolsch, D., Saling, P., Kicherer, A., Grosse-Sommer, A. ve Schmidt, I. (2008). How to Measure Social Impacts? A Socio-Eco-Efficiency Analysis by the Seebalance Method, International Journal of Sustainable Development, 11(1), 1-23.
• Le Gallo, J. (2002). Econométrie Spatiale: l'autocorrélation Spatiale Dans les Modèles de Régression Linéaire, Economie Prevision, (4), 139-157.
• Lozano, F.J. ve Lozano R. (2018). Assessing the Potential Sustainability Benefits of Agricultural Residues: Biomass Conversion to Syngas for Energy Generation or to Chemicals Production, Journal of Cleaner Production, 172, 4162-4169.
• Maxime, D., Marcotte, M. ve Arcand, Y. (2006). Development of Eco-Efficiency Indicators for the Canadian Food and Beverage Industry, Journal of Cleaner Production, 14(6-7), 636-648.
• Mickwitz, P., Melanen, M., Rosenstrom, U. ve Seppala, J. (2006). Regional Eco-Efficiency Indicators a Participatory Approach, Journal of Cleaner Production, 14, 1603-1611.
• Müller, K., Holmes, A., Deurer, M. ve Clothier, B.E. (2015). Eco-Efficiency as a Sustainability Measure for Kiwifruit Production in New Zealand, Journal of Cleaner Production, 106, 333-342.
• Park, Y.S., Egilmez, G. ve Kucukvar, M. (2015). A Novel Life Cycle-Based Principal Component Analysis Framework for Eco-Efficiency Analysis: Case of the United States Manufacturing and Transportation Nexus, Journal of Cleaner Production, 92, 327-342.
• Rashidi, K. ve Saen, R.F. (2015). Measuring Eco-Efficiency based on Green Indicators and Potentials in Energy Saving and Undesirable Output Abatement, Energy Economics, 50, 18-26.
• Reith, C.C. ve Guidry, M.J. (2003). Eco-Efficiency Analysis of an Agricultural Research Complex, Journal of Environmental Management, 68, 219-229.
• Sproedt, A., Plehn, J., Schonsleben, P. ve Herrmann, C. (2015). A Simulation-Based Decision Support for Eco-Efficiency Improvements in Production Systems, Journal of Cleaner Production, 105, 389-405.
• Terzioğlu, M.K., Yücel, M., Demirkiran, S. ve Acaroğlu, D. (2020). Kentsel İnovasyonun Kentleşme Üzerine Mekânsal Etkisi, İdealkent, 11(30), 592-620.
• Uhlman, B.W. ve Saling, P. (2010). Measuring and Communicating Sustainability Through Eco-Efficiency Analysis, Chemical Engineering Progress, 106(12), 17-26.
• Van Caneghem, J., Block, C., Cramm, P., Mortier, R. ve Vandecasteele, C. (2010). Improving Eco-Efficiency in the Steel Industry: The ArcelorMittal Gent Case, Journal of Cleaner Production, 18(8), 807-814.
• Virtanen, T., Tuomaala, M. ve Pentti, E. (2013). Energy Efficiency Complexities: A Technical and Managerial Investigation, Management Accounting Research, 24, 401- 416.
• Xu, T., You, J., Li, H. ve Shao, L. (2020). Energy Efficiency Evaluation based on Data Envelopment Analysis: A Literature Review, Energies, 13(14), 3548.
• Yücel, M.A. (2021). Sürdürebilir Kalkınma Çerçevesinde Eko-Verimlilik ve Eko-İnovasyon: Dinamik Mekansal Panel Veri Analizi, Yüksek Lisans Tezi, Trakya Üniversitesi Sosyal Bilimler Enstitüsü, Edirne.
• Zhang, B., Bi, J., Fan, Z., Yuan, Z. ve Ge, J. (2008). Eco-Efficiency Analysis of Industrial System in China: A Data Envelopment Analysis Approach, Ecological Economics, 68, 306-316.