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Environmental productivity growth across European industries

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  • Stergiou, Eirini
  • Rigas, Nikos
  • Kounetas, Konstantinos E.

Abstract

European industries are under pressure regarding their environmental performance and productivity growth. The current energy crisis offsets governments’ efforts to achieve carbon neutrality while removing significant degrees of freedom in terms of firm’s competitiveness. This paper studies environmental productivity and its components at a European industrial level using a dataset of 13 industries of the manufacturing sector from 27 European countries over the 1995–2014 period. Our results point out that industrial environmental productivity has deteriorated across Europe with best practice change being the main contributor. In addition, referring to the technological leaders in Europe, the findings point out that low tend to follow the middle-high technology industries. Finally, the non-convergence hypothesis and the creation of discrete clubs for the productivity index case and its components are supported.

Suggested Citation

  • Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos E., 2023. "Environmental productivity growth across European industries," Energy Economics, Elsevier, vol. 123(C).
    • Handle: RePEc:eee:eneeco:v:123:y:2023:i:c:s0140988323002050
    DOI: 10.1016/j.eneco.2023.106707
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    as
    1. Laurens Cherchye & Bram De Rock & Arthur Lewbel & Frederic Vermeulen, 2015. "Sharing Rule Identification for General Collective Consumption Models," Econometrica, Econometric Society, vol. 83(5), pages 2001-2041, September.
    2. William L. Weber & Bruce Domazlicky, 2001. "Productivity Growth and Pollution in State Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 195-199, February.
    3. Fulvio Castellacci & Bart Los & Gaaitzen Vries, 2014. "Sectoral productivity trends: convergence islands in oceans of non-convergence," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 983-1007, November.
    4. Ivan Haščič & Nick Johnstone & Fleur Watson & Christopher Kaminker, 2010. "Climate Policy and Technological Innovation and Transfer: An Overview of Trends and Recent Empirical Results," OECD Environment Working Papers 30, OECD Publishing.
    5. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
    6. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    7. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    8. Rahel Aichele & Gabriel Felbermayr, 2015. "Kyoto and Carbon Leakage: An Empirical Analysis of the Carbon Content of Bilateral Trade," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 104-115, March.
    9. Saliola, Federica & Zanfei, Antonello, 2009. "Multinational firms, global value chains and the organization of knowledge transfer," Research Policy, Elsevier, vol. 38(2), pages 369-381, March.
    10. Simona Bigerna & Maria Chiara D’Errico & Paolo Polinori, 2022. "Sustainable Power Generation in Europe: A Panel Data Analysis of the Effects of Market and Environmental Regulations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 445-479, October.
    11. Keith Maskus, 2010. "Differentiated Intellectual Property Regimes for Environmental and Climate Technologies," OECD Environment Working Papers 17, OECD Publishing.
    12. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    13. Manning, Stephan & Boons, Frank & von Hagen, Oliver & Reinecke, Juliane, 2012. "National contexts matter: The co-evolution of sustainability standards in global value chains," Ecological Economics, Elsevier, vol. 83(C), pages 197-209.
    14. Eirini Stergiou and Kostas Kounetas, 2021. "European Industries' Energy Efficiency under Different Technological Regimes: The Role of CO2 Emissions, Climate, Path Dependence and Energy Mix," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 93-128.
    15. Léopold Simar & Paul Wilson, 2011. "Inference by the m out of n bootstrap in nonparametric frontier models," Journal of Productivity Analysis, Springer, vol. 36(1), pages 33-53, August.
    16. Bart Los & Bart Verspagen, 2006. "The Evolution Of Productivity Gaps And Specialization Patterns," Metroeconomica, Wiley Blackwell, vol. 57(4), pages 464-493, November.
    17. Pasurka, Carl Jr., 2006. "Decomposing electric power plant emissions within a joint production framework," Energy Economics, Elsevier, vol. 28(1), pages 26-43, January.
    18. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    19. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    20. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
    21. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    22. Zhu, Runqing & Lin, Boqiang, 2021. "Energy and carbon performance improvement in China's mining Industry:Evidence from the 11th and 12th five-year plan," Energy Policy, Elsevier, vol. 154(C).
    23. Bart Los & Bart Verspagen, 2002. "An Introduction to the Analysis of Systems of Innovation: Scientific and Technological Interdependencies," Economic Systems Research, Taylor & Francis Journals, vol. 14(4), pages 315-322, December.
    24. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    25. Mariam Camarero & Juana Castillo-Giménez & Andrés Picazo-Tadeo & Cecilio Tamarit, 2014. "Is eco-efficiency in greenhouse gas emissions converging among European Union countries?," Empirical Economics, Springer, vol. 47(1), pages 143-168, August.
    26. Fulvio Castellacci, 2007. "Technological regimes and sectoral differences in productivity growth ," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(6), pages 1105-1145, December.
    27. Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2015. "Convergence of carbon dioxide performance across Swedish industrial sectors: An environmental index approach," Energy Economics, Elsevier, vol. 51(C), pages 227-235.
    28. Fulvio Castellacci & Jinghai Zheng, 2010. "Technological regimes, Schumpeterian patterns of innovation and firm-level productivity growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(6), pages 1829-1865, December.
    29. Yang, Chih-Hai & Tseng, Yu-Hsuan & Chen, Chiang-Ping, 2012. "Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(4), pages 514-532.
    30. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas, 2017. "Productive performance, technology heterogeneity and hierarchies: Who to compare with whom," International Journal of Production Economics, Elsevier, vol. 193(C), pages 465-478.
    31. Adam B. Jaffe et al., 1995. "Environmental Regulation and the Competitiveness of U.S. Manufacturing: What Does the Evidence Tell Us?," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 132-163, March.
    32. Chatzistamoulou, Nikos & Kounetas, Kostas & Tsekouras, Kostas, 2022. "Technological hierarchies and learning: Spillovers, complexity, relatedness, and the moderating role of absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    33. Ku-Hsieh Chen & Hao-Yen Yang, 2011. "A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China," Journal of Productivity Analysis, Springer, vol. 35(3), pages 197-212, June.
    34. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo, 2020. "Heterogeneous impacts of regulatory policy stringency on the EU electricity Industry:A Bayesian shrinkage dynamic analysis," Energy Policy, Elsevier, vol. 142(C).
    35. Billor, Nedret & Hadi, Ali S. & Velleman, Paul F., 2000. "BACON: blocked adaptive computationally efficient outlier nominators," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 279-298, September.
    36. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2012. "Is energy intensity important for the productivity growth of EET adopters?," Energy Economics, Elsevier, vol. 34(4), pages 930-941.
    37. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2013. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," American Economic Review, American Economic Association, vol. 103(1), pages 305-334, February.
    38. Areti Gkypali & Kostas Kounetas & Kostas Tsekouras, 2019. "European countries’ competitiveness and productive performance evolution: unraveling the complexity in a heterogeneity context," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 665-695, April.
    39. Mahlberg, Bernhard & Sahoo, Biresh K., 2011. "Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application," International Journal of Production Economics, Elsevier, vol. 131(2), pages 721-726, June.
    40. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    41. Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-323, July.
    42. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    43. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    44. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    45. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
    46. Martijn J. Burger & Kostas Kounetas & Oreste Napolitano & Spyridon Stavropoulos, 2022. "Do innovation and human capital actually narrow the technology gap? Champions and laggards of European regional productive performance," Regional Studies, Taylor & Francis Journals, vol. 56(10), pages 1655-1670, October.
    47. 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.
    48. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    49. Alessandra Colombelli & Francesco Quatraro, 2019. "Green start-ups and local knowledge spillovers from clean and dirty technologies," Small Business Economics, Springer, vol. 52(4), pages 773-792, April.
    50. Stergiou, Eirini & Kounetas, Konstantinos, 2022. "Heterogeneity, spillovers and eco-efficiency of European industries under different pollutants’ scenarios. Is there a definite direction?," Ecological Economics, Elsevier, vol. 195(C).
    51. Yu-Ying Lin, Eugene & Chen, Ping-Yu & Chen, Chi-Chung, 2013. "Measuring green productivity of country: A generlized metafrontier Malmquist productivity index approach," Energy, Elsevier, vol. 55(C), pages 340-353.
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    More about this item

    Keywords

    European industries; Metafrontier Malmquist–Luenberger index; Environmental productivity; Convergence; Technological heterogeneity;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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