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Abstract

China has been witnessing an unprecedented urbanization process since the implementation of reform and opening policy in 1980s. And the blueprint of Chinese urbanization program will continue for the coming future. Nevertheless, the rapid urbanization progress in China has been consuming vast amount of resources, and the conflicts between limited resources and rapid urbanization development has become much more intensified. It is therefore essential to pursue and improve efficiency during the urbanization construction in order to save resources and achieve urbanization sustainability. This study investigates the efficiency of Chinese urbanization construction by employing “I-O” (input-output) indicators with considering not only desirable output also the undesirable outputs of urbanization construction. The Super-efficiency SBM (Slack-based Measure) model is adopted for conducting the analysis, and the research data are collected from 30 Chinese provinces during 2008–2015. The analysis results tell that the average performance of urbanization efficiency at national level in China is relatively low, though an improvement has been achieved during this surveyed period (2008–2015). There is significant variation between top performers and bottom players, and the results suggest that those socially and economically advanced provinces are found to be more efficient in the process of urbanization construction. It is also discovered that East China is much more advanced on the efficiency performance during the urbanization process, however Southwest region presents the lowest urbanization efficiency performance during the time period of 2008–2015.

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References

  1. Shen, L., Ren, Y., Xiong, N., Li, H., Chen, Y.: Why small towns can not share the benefits of urbanization in China? J. Cleaner Prod. 174, 728–738 (2018)

    Article  Google Scholar 

  2. Liu, J., Low, S.P., Wang, L.F.: Critical success factors for eco-city development in China. Int. J. Constr. Manag. 18, 1–10 (2017)

    Google Scholar 

  3. World Bank Open Data (2017). http://data.worldbank.org/

  4. Bakirtas, T., Akpolat, A.G.: The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries. Energy 147, 110–121 (2018)

    Article  Google Scholar 

  5. Guan, X., Wei, H., Lu, S., Dai, Q., Su, H.: Assessment on the urbanization strategy in China: achievements, challenges and reflections. Habitat Int. 71, 97–109 (2018)

    Article  Google Scholar 

  6. Chau, K.W.: Explaining total factor productivity trend in building construction: empirical evidence from Hong Kong. Int. J. Constr. Manag. 9(2), 45–54 (2009)

    Google Scholar 

  7. Yin, K., Wang, R., An, Q., Yao, L., Liang, J.: Using eco-efficiency as an indicator for sustainable urban development: a case study of Chinese provincial capital cities. Ecol. Ind. 36, 665–671 (2014)

    Article  Google Scholar 

  8. Li, H., Fang, K., Yang, W., Wang, D., Hong, X.: Regional environmental efficiency evaluation in China: analysis based on the Super-SBM model with undesirable outputs. Math. Comput. Model. 58(5), 1018–1031 (2013)

    Article  Google Scholar 

  9. Tone, K.: A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130(3), 498–509 (2001)

    Article  Google Scholar 

  10. Tone, K.: A slacks-based measure of super-efficiency in data envelopment analysis. Eur. J. Oper. Res. 143(1), 32–41 (2002)

    Article  Google Scholar 

  11. Tone, K.: Dealing with undesirable outputs in DEA: a slacks-based measure (SBM) approach, GRIPS Research Report Series (2003)

    Google Scholar 

  12. Bian, Y., Yang, F.: Resource and environment efficiency analysis of provinces in China: a DEA approach based on Shannon’s entropy. Energ. Policy 38(4), 1909–1917 (2010)

    Article  Google Scholar 

  13. Chuanjiang, L., Guiran, H.: Analysis on relation of rual labor transfer and regional competitiveness: an empirical analysis by taking Chongqing as an example. Chin. Popul. Res. Environ. 23(7), 116–121 (2013)

    Google Scholar 

  14. Zhou, Y., Xing, X., Fang, K., Liang, D., Xu, C.: Environmental efficiency analysis of power industry in China based on an entropy SBM model. Energ. Policy 57, 68–75 (2013)

    Article  Google Scholar 

  15. Song, M.L., Wang, S.H.: DEA decomposition of China’s environmental efficiency based on search algorithm. Appl. Math. Comput. 247, 562–572 (2014)

    Google Scholar 

  16. Nucci, F., Riggi, M.: Labor force participation, wage rigidities, and inflation. J. Macroecon. 55, 274–292 (2018)

    Article  Google Scholar 

  17. Chang, Y.T., Zhang, N., Danao, D., Zhang, N.: Environmental efficiency analysis of transportation system in China: a non-radial DEA approach. Energ. Policy 58, 277–283 (2013)

    Article  Google Scholar 

  18. Temple, J.B., Rice, J.M., McDonald, P.F.: Mature age labour force participation and the life cycle deficit in Australia: 1981–82 to 2009–10. J. Econ. Ageing 10, 21–33 (2017)

    Article  Google Scholar 

  19. Nucci, F., Riggi, M.: Labor force participation, wage rigidities, and inflation. J. Macroecon. 55, 274–292 (2018)

    Article  Google Scholar 

  20. Liu, Y., Song, Y., Arp, H.P.: Examination of the relationship between urban form and urban eco-efficiency in China. Habitat Int. 36(1), 171–177 (2012)

    Article  Google Scholar 

  21. Wu, H.Q., Shi, Y., Xia, Q., Zhu, W.D.: Effectiveness of the policy of circular economy in China: a DEA-based analysis for the period of 11th five-year-plan. Resour. Conserv. Recycl. 83, 163–175 (2014)

    Article  Google Scholar 

  22. Hubacek, K., Guan, D., Barrett, J., Wiedmann, T.: Environmental implications of urbanization and lifestyle change in China: ecological and water footprints. J. Cleaner Prod. 17(14), 1241–1248 (2009)

    Article  Google Scholar 

  23. Domene, E., Saurí, D.: Urbanisation and water consumption: influencing factors in the metropolitan region of Barcelona. Urban Stud. 43(9), 1605–1623 (2006)

    Article  Google Scholar 

  24. Liu, Q., Wang, S., Zhang, W., Li, J., Zhao, Y., Li, W.: China’s municipal public infrastructure: estimating construction levels and investment efficiency using the entropy method and a DEA model. Habitat Int. 64, 59–70 (2017)

    Article  Google Scholar 

  25. Shahbaz, M., Lean, H.H.: Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia. Energ. Policy 40, 473–479 (2012)

    Article  Google Scholar 

  26. Dogan, E., Turkekul, B.: CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environ. Sci. Pollut. Res. 23(2), 1203–1213 (2016)

    Article  Google Scholar 

  27. Jia, S., Wang, C., Li, Y., Zhang, F., Liu, W.: The urbanization efficiency in Chengdu City: an estimation based on a three-stage DEA model. Phys. Chem. Earth Parts A/B/C 101, 59–69 (2017)

    Article  Google Scholar 

  28. Bai, Y., Deng, X., Jiang, S., Zhang, Q., Wang, Z.: Exploring the relationship between urbanization and urban eco-efficiency: evidence from prefecture-level cities in China. J. Cleaner Prod. 195, 1487–1496 (2017)

    Article  Google Scholar 

  29. Morais, P., Camanho, A.S.: Evaluation of performance of European cities with the aim to promote quality of life improvements. Omega 39(4), 398–409 (2011)

    Article  Google Scholar 

  30. Jianshuang, F., Xiaofen, Y., Lihua, Z.: Comprehensive efficiency level and driving factors of china’s regional urbanization. Scientia Geographica Sinica 35(9), 1077–1085 (2015)

    Google Scholar 

  31. Chen, M., Lu, D., Zha, L.: The comprehensive evaluation of China’s urbanization and effects on resources and environment. J. Geograph. Sci. 20(1), 17–30 (2010)

    Article  Google Scholar 

  32. Song, L., Zhang, Y., Guo, Y.J.: The regional differences and spatial pattern of Shaanxi Province under the restriction of environment. Hum. Geograph. 6, 016 (2016)

    Google Scholar 

  33. Rongtian, Z., Huafu, J.: Measurement and spatial correlation pattern of urbanization efficiency in the Changjiang River Delta. Sci. Geogr. Sinica 35(4), 433–439 (2015)

    Google Scholar 

  34. Chen, Y., Ren, Y.T., Huang, Y.L., Shen, L.Y.: Indicators for guiding sustainable development of townships in mountainous regions in Southwest China. In: Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, pp. 917–926. Springer, Singapore (2018)

    Google Scholar 

  35. Byomkesh, T., Nakagoshi, N., Dewan, A.M.: Urbanization and green space dynamics in Greater Dhaka, Bangladesh. Landscape Ecol. Eng. 8(1), 45–58 (2012)

    Article  Google Scholar 

  36. Deilmann, C., Lehmann, I., Reißmann, D., Hennersdorf, J.: Data envelopment analysis of cities–Investigation of the ecological and economic efficiency of cities using a benchmarking concept from production management. Ecol. Indic. 67, 798–806 (2016)

    Article  Google Scholar 

  37. Zhang, J., Zeng, W., Wang, J., Yang, F., Jiang, H.: Regional low-carbon economy efficiency in China: analysis based on the Super-SBM model with CO2 emissions. J. Cleaner Prod. 163, 202–211 (2017)

    Article  Google Scholar 

  38. Zhou, Z.J., Hu, J.H.: Evaluation of low carbon economy development efficiency based on a super-SBM model. Resour. Sci. 35(12), 2457–2466 (2013)

    Google Scholar 

  39. Intergovernmental Panel on Climate Change (IPCC). 2006 IPCC guidelines for national greenhouse gas inventories (2006). www.ipcc.ch

  40. National Coordination Committee Office on Climate Change and Energy Research Institute under the National Development and Reform Commission: National greenhouse gas inventory of the People’s Republic of China. Chinese Environmental Science Press, Beijing (2007). (In Chinese)

    Google Scholar 

Download references

Acknowledgement

The research of this conference paper is financially supported by two research funding, namely, National Social Science Foundation of China (Grant No. 17ZDA062), and National Social Science Foundation of China (15BJY038).

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Correspondence to Yitian Ren .

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Ren, Y., Lu, W., Shen, L., Zhang, Y., Liu, Z. (2021). How Efficient is the Urbanization Process in China?. In: Long, F., Zheng, S., Wu, Y., Yang, G., Yang, Y. (eds) Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate. CRIOCM 2018. Springer, Singapore. https://doi.org/10.1007/978-981-15-3977-0_1

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