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Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data

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  • Long, Xingle
  • Sun, Mei
  • Cheng, Faxin
  • Zhang, Jijian

Abstract

China has become the largest producer and consumer of cement worldwide. In 2011, carbon emissions of China’s cement industries accounted for 60.6% of cement carbon emissions worldwide. In this context, this paper mainly investigates whether eco-efficiency of China’s cement manufacturers has converging tendency or not. First, we evaluated eco-efficiency under directional distance function (DDF) and the directional slack-based measure (DSBM) to compare their biases. Furthermore, we also implement unit root test of panel data to testify convergence analysis upon eco-efficiency in different regions of China in order to overcoming the demerit of conventional convergence approach, which might have invalid inferences. Our empirical analysis revealed that eco-efficiency under DDF has gaps with that under DSBM due to excess input or output shortages. Eco-efficiency in the east, middle and west converged. It is necessary to substitute raw material, increase additive and improve waste use for China’s cement manufacturers.

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  • Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
  • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:709-717
    DOI: 10.1016/j.energy.2017.05.079
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    as
    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    2. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    3. Keun‐Yeob Oh & Paul Evans, 2011. "Test Of The Convergence Hypothesis Allowing For Cross‐Sectional Dependence," Pacific Economic Review, Wiley Blackwell, vol. 16(3), pages 302-312, August.
    4. Arielle Beyaert & Maximo Camacho, 2008. "TAR Panel Unit Root Tests and Real Convergence," Review of Development Economics, Wiley Blackwell, vol. 12(3), pages 668-681, August.
    5. Barro, Robert J & Sala-i-Martin, Xavier, 1997. "Technological Diffusion, Convergence, and Growth," Journal of Economic Growth, Springer, vol. 2(1), pages 1-26, March.
    6. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    7. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    10. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.
    11. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    12. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    13. Sala-i-Martin, Xavier X., 1996. "Regional cohesion: Evidence and theories of regional growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1325-1352, June.
    14. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    15. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    16. Evans, Paul & Karras, Georgios, 1996. "Convergence revisited," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 249-265, April.
    17. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    18. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    19. Su, Bin & Ang, B.W. & Low, Melissa, 2013. "Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports," Ecological Economics, Elsevier, vol. 88(C), pages 119-125.
    20. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    21. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    22. Oh, Da-Young & Noguchi, Takafumi & Kitagaki, Ryoma & Park, Won-Jun, 2014. "CO2 emission reduction by reuse of building material waste in the Japanese cement industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 796-810.
    23. Lamas, Wendell de Queiroz & Palau, Jose Carlos Fortes & Camargo, Jose Rubens de, 2013. "Waste materials co-processing in cement industry: Ecological efficiency of waste reuse," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 200-207.
    24. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    25. Seiford, Lawrence M. & Zhu, Joe, 2005. "A response to comments on modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 161(2), pages 579-581, March.
    26. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    27. Hasanbeigi, Ali & Morrow, William & Masanet, Eric & Sathaye, Jayant & Xu, Tengfang, 2013. "Energy efficiency improvement and CO2 emission reduction opportunities in the cement industry in China," Energy Policy, Elsevier, vol. 57(C), pages 287-297.
    28. Riccardi, R. & Oggioni, G. & Toninelli, R., 2012. "Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function," Energy Policy, Elsevier, vol. 44(C), pages 140-152.
    29. Doğan, İbrahim & Bilgili, Faik, 2014. "The non-linear impact of high and growing government external debt on economic growth: A Markov Regime-switching approach," Economic Modelling, Elsevier, vol. 39(C), pages 213-220.
    30. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    31. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    32. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    33. Xu, Jin-Hua & Fleiter, Tobias & Fan, Ying & Eichhammer, Wolfgang, 2014. "CO2 emissions reduction potential in China’s cement industry compared to IEA’s Cement Technology Roadmap up to 2050," Applied Energy, Elsevier, vol. 130(C), pages 592-602.
    34. Wang, Juan & Zhang, Kezhong, 2014. "Convergence of carbon dioxide emissions in different sectors in China," Energy, Elsevier, vol. 65(C), pages 605-611.
    35. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    36. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    37. Ramanathan, Ramakrishnan, 2005. "An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa," Energy, Elsevier, vol. 30(15), pages 2831-2842.
    38. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    39. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    40. Daniel Tyteca, 1997. "Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results," Journal of Productivity Analysis, Springer, vol. 8(2), pages 183-197, May.
    41. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    42. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    43. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 1127-1170.
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