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“Spatial Efficiency” Towards Sustainable Development; Case Study: Provinces of Iran

Yıl 2020, Cilt: 5 Sayı: 3, 312 - 328, 24.10.2020

Öz

Geographical spaces need to avoid environmental deterioration and simultaneously meet economic and social demands. Therefore, the integration of different dimensions of development is necessary in order to economic growth, understanding environmental conditions and social justice and equality. "How can the conflicting dimensions of sustainable development be reconciled?" is one of the issues that can be raised in the implementation of sustainable development. The present study takes an effective step in applying the concept of "spatial efficiency"(That concept is evolving). The spatial efficiency approach to development sustainability combines socio-economic values and environmental considerations in changes leading to development. Development sustainability of the Provinces of Iran in the form of space efficiency approach have been compared comparatively by covering multiple components of spatial enjoyment (economic, social and environmental) for each unit of pressing components (pressures on the living environment and human habitats). According to the overall results, the average efficiency of the provinces is 0.961, and in the meantime, Isfahan province, with a numerical value of 0.759, has the most unsuitable situation in efficiency. Most of the border and side provinces are efficient in terms of sustainable development, and it is the central provinces that need to revise the development indicators. The present article suggests that development policies need to be reconsidered.

Kaynakça

  • 1. Afrakhteh, H & Hajipour, M (2015). political economy of space and balance in Iran. Journal of Space Economics and Rural Development, Vol. 4, pp. 110-87.
  • 2. Alem Tabriz, A., Zareian, M & Rajabi Pourmibadi, A (2009), The study of the function of fuzzy TOPSIS technique in improving the efficiency of bank branches using DEA technique, Industrial Management, No. 3, pp. 85-104.
  • 3. Asghari, M., Kurd, B & Salarzehi, H (2013). Evaluation of relative efficiency of Mehr housing projects using data envelopment analysis (DEA) technique; (Study of cities with more than 25,000 people in Sistan and Baluchestan province), Economics and Urban Management, Vol. 2, No. 5, pp. 1-14.
  • 4. Askari, M & Baghdadi, A (2016) Evaluating the relative efficiency of Mehr housing program (selected cities of Tehran province); Quarterly Journal of Economic Research and Policy, Vol. 24, No. 8, pp. 119-142.
  • 5. Attar, S, (2012) Japan and development: a study on the role of planning system and development plan act in the development process of japan, Journal of Politics, Vol. 42, No. 4, pp. 125-145
  • 6. Azar, A and Gholamrezaei, D, (2006). Ranking of the country's provinces with a data envelopment analysis approach (using human development indicators), Iranian Economic Research, Vol. 8, No. 27, pp. 153-173.
  • 7. Bapat, S, P. (2009) Spatial Efficiency in Geography, concept publishing company, New Delhi. 2006
  • 8. Barandak, F. (2019). Analysis the Bio Performance Indicators of the Urban Regions of Isfahan in Realization of Sustainable, Journal of Urban Ecology Research, Vol. 10, No. 19, pp. 13-26.
  • 9. Barandak, f. and Karimi, H. (2016). Assess the Sustainability of Isfahan Using Ideal and Anti-ideal Decision-Making Units, 1st International Conference on Rethinking the Sustainable Development, Tabriz.
  • 10. Barandak, F. and Mohammadi asl ajirlo, L. (2016). Cultural economy analysis in the space of Gilan province, Journal of Geography and Environmental Studies, Vol. 5, No. 17, pp. 113-126.
  • 11. Borger, B & Kerstens, K. (1996). Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches. Regional Science and Urban Economics. Vol, 26. No, 2. pp.145-170
  • 12. Bray, S. Caggiani, L. Ottomanelli, O. (2013). Measuring transport systems efficiency under uncertainty by fuzzy sets theory-based Data Envelopment Analysis: theoretical and practical comparison with traditional DEA model. Transportation Research 5. 186-200.
  • 13. Chansarn, S. (2014). The Evaluation of the Sustainable Human Development: A Cross-Country Analysis Employing Slack-Based DEA. Environmental Sciences 20. 3-11.
  • 14. Corro, A. and Vera, R. (2014). Measuring the Institutional Efficiency Using DEA and AHP: The Case of a Mexican University. Journal of Applied Research and Technology, Vol. 12, No. 1, pp. 63-71.
  • 15. Dinverno, G,. Carosi, L & Ravagli, L. (2017). Global public spending efficiency in Tuscan municipalities. Socio-Economic Planning Sciences, Vol, 61. Pp. 102-113. https://doi.org/10.1016/j.seps.2017.01.006
  • 16. Ebrahimi, J; Azkia, M & Rasoulzadeh Aghdam, S. (2019) Study of the degree of development of East Azerbaijan cities by numerical taxonomy and cluster analysis, Iran Social Development Studies, Vol. 11, No. 2, pp. 65-83.
  • 17. Fancello, G. Uccheddu, B. Fadda, P. (2012). The performance of an urban road system: an innovative approach using D.E.A. (Data Envelopment Analysis). Social and Behavioral Sciences 87. 163-176.
  • 18. Fang, Ch., Guan, X., Lu, Sh., Zhou, M & Deng, Y (2013). Input- Output Efficiency of Urban Agglomerations in China: An Application of Data Envelopment Analysis (DEA). Urban Studies, Vol, 50. No.13, pp. 2766-2790.

Sürdürülebilir Kalkınmaya Yönelik “Mekansal Verimlilik”; Örnek Olay: İran İlleri

Yıl 2020, Cilt: 5 Sayı: 3, 312 - 328, 24.10.2020

Öz

Coğrafi alanların çevresel bozulmadan kaçınması, aynı zamanda ekonomik ve sosyal talepleri karşılaması gerekir. Bu nedenle; ekonomik büyüme ve çevresel koşulları anlamanın yanı sıra sosyal adalet ve eşitliği sağlamak için farklı kalkınma boyutlarının entegrasyonu gereklidir. "Sürdürülebilir kalkınmanın çelişkili boyutları nasıl uzlaştırılabilir?" sorusu, sürdürülebilir kalkınmanın uygulanmasında ortaya çıkabilecek durumlardan biridir. Bu çalışma, "mekansal verimlilik" kavramının uygulanmasında etkili bir adım atmaktadır (bu kavram hala gelişmektedir). Kalkınma sürdürülebilirliğine mekânsal verimlilik yaklaşımı, sosyoekonomik değerleri ve çevresel düşünceleri birleştirirken kalkınmaya da yol açar. İran illerinin mekânsal verimliliği yaklaşımı biçimindeki kalkınma sürdürülebilirliği, her bir baskı bileşeni birimi (yaşam ortamı ve insan habitatları üzerindeki baskılar) için çok sayıda mekânsal değerler bileşenini (ekonomik, sosyal ve çevresel) kapsayarak karşılaştırmalı ele alınmıştır. Bu doğrultuda elde edilen sonuçlara göre illerin ortalama verimliliği 0.961 olmakla birlikte sayısal değeri 0.759 olan İsfahan Eyaleti, mekânsal verimlilikte en uygun olmayan duruma sahiptir. Sınır ve çevre illerin çoğu sürdürülebilir kalkınma açısından önemli potansiyele sahiptir. Kalkınma göstergelerini gözden geçirmesi gereken idari üniteler, merkezi illerdir. Bu çalışma söz konusu yerlerin kalkınma politikalarını tekrar gözden geçirmesi gerektiğini göstermiştir.

Kaynakça

  • 1. Afrakhteh, H & Hajipour, M (2015). political economy of space and balance in Iran. Journal of Space Economics and Rural Development, Vol. 4, pp. 110-87.
  • 2. Alem Tabriz, A., Zareian, M & Rajabi Pourmibadi, A (2009), The study of the function of fuzzy TOPSIS technique in improving the efficiency of bank branches using DEA technique, Industrial Management, No. 3, pp. 85-104.
  • 3. Asghari, M., Kurd, B & Salarzehi, H (2013). Evaluation of relative efficiency of Mehr housing projects using data envelopment analysis (DEA) technique; (Study of cities with more than 25,000 people in Sistan and Baluchestan province), Economics and Urban Management, Vol. 2, No. 5, pp. 1-14.
  • 4. Askari, M & Baghdadi, A (2016) Evaluating the relative efficiency of Mehr housing program (selected cities of Tehran province); Quarterly Journal of Economic Research and Policy, Vol. 24, No. 8, pp. 119-142.
  • 5. Attar, S, (2012) Japan and development: a study on the role of planning system and development plan act in the development process of japan, Journal of Politics, Vol. 42, No. 4, pp. 125-145
  • 6. Azar, A and Gholamrezaei, D, (2006). Ranking of the country's provinces with a data envelopment analysis approach (using human development indicators), Iranian Economic Research, Vol. 8, No. 27, pp. 153-173.
  • 7. Bapat, S, P. (2009) Spatial Efficiency in Geography, concept publishing company, New Delhi. 2006
  • 8. Barandak, F. (2019). Analysis the Bio Performance Indicators of the Urban Regions of Isfahan in Realization of Sustainable, Journal of Urban Ecology Research, Vol. 10, No. 19, pp. 13-26.
  • 9. Barandak, f. and Karimi, H. (2016). Assess the Sustainability of Isfahan Using Ideal and Anti-ideal Decision-Making Units, 1st International Conference on Rethinking the Sustainable Development, Tabriz.
  • 10. Barandak, F. and Mohammadi asl ajirlo, L. (2016). Cultural economy analysis in the space of Gilan province, Journal of Geography and Environmental Studies, Vol. 5, No. 17, pp. 113-126.
  • 11. Borger, B & Kerstens, K. (1996). Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches. Regional Science and Urban Economics. Vol, 26. No, 2. pp.145-170
  • 12. Bray, S. Caggiani, L. Ottomanelli, O. (2013). Measuring transport systems efficiency under uncertainty by fuzzy sets theory-based Data Envelopment Analysis: theoretical and practical comparison with traditional DEA model. Transportation Research 5. 186-200.
  • 13. Chansarn, S. (2014). The Evaluation of the Sustainable Human Development: A Cross-Country Analysis Employing Slack-Based DEA. Environmental Sciences 20. 3-11.
  • 14. Corro, A. and Vera, R. (2014). Measuring the Institutional Efficiency Using DEA and AHP: The Case of a Mexican University. Journal of Applied Research and Technology, Vol. 12, No. 1, pp. 63-71.
  • 15. Dinverno, G,. Carosi, L & Ravagli, L. (2017). Global public spending efficiency in Tuscan municipalities. Socio-Economic Planning Sciences, Vol, 61. Pp. 102-113. https://doi.org/10.1016/j.seps.2017.01.006
  • 16. Ebrahimi, J; Azkia, M & Rasoulzadeh Aghdam, S. (2019) Study of the degree of development of East Azerbaijan cities by numerical taxonomy and cluster analysis, Iran Social Development Studies, Vol. 11, No. 2, pp. 65-83.
  • 17. Fancello, G. Uccheddu, B. Fadda, P. (2012). The performance of an urban road system: an innovative approach using D.E.A. (Data Envelopment Analysis). Social and Behavioral Sciences 87. 163-176.
  • 18. Fang, Ch., Guan, X., Lu, Sh., Zhou, M & Deng, Y (2013). Input- Output Efficiency of Urban Agglomerations in China: An Application of Data Envelopment Analysis (DEA). Urban Studies, Vol, 50. No.13, pp. 2766-2790.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Farhad Barandak 0000-0002-3842-5536

Şule Demir 0000-0002-9247-446X

Yayımlanma Tarihi 24 Ekim 2020
Gönderilme Tarihi 15 Ağustos 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 5 Sayı: 3

Kaynak Göster

APA Barandak, F., & Demir, Ş. (2020). “Spatial Efficiency” Towards Sustainable Development; Case Study: Provinces of Iran. The Journal of International Scientific Researches, 5(3), 312-328.