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Environmental adjustment of the EU27 GDP: an econometric quantitative model

Author

Listed:
  • Luis Antonio Galiano Bastarrica

    (Universidad de Sevilla)

  • Eva M. Buitrago Esquinas

    (Universidad de Sevilla)

  • María Ángeles Caraballo Pou

    (Universidad de Sevilla)

  • Rocío Yñiguez Ovando

    (Universidad de Sevilla)

Abstract

The use of natural resources as an input to economic growth and the interactions between economic and ecological systems have resulted in an accumulation of environmental externalities. This accumulation can negatively affect future levels of welfare and economic growth. In this paper, such dynamics are assessed and quantified by introducing explicit environmental externality variables in a production function. This is performed in an endogenous growth model where cumulative environmental externalities interact with economic growth. Using efficiency analysis, a dynamic econometric model is estimated showing the significance of a negative influence of past levels of use of natural resources on GDP over a broad range of stochastic frontier analysis estimations. The results are applied to propose an alternative specification to the production function of a modelling tool used by the European Commission for the assessment of climate policies in the European Union. The findings show that observed GDP is overestimated when environmental externalities are not considered.

Suggested Citation

  • Luis Antonio Galiano Bastarrica & Eva M. Buitrago Esquinas & María Ángeles Caraballo Pou & Rocío Yñiguez Ovando, 2023. "Environmental adjustment of the EU27 GDP: an econometric quantitative model," Environment Systems and Decisions, Springer, vol. 43(1), pages 115-128, March.
  • Handle: RePEc:spr:envsyd:v:43:y:2023:i:1:d:10.1007_s10669-022-09872-0
    DOI: 10.1007/s10669-022-09872-0
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    as
    1. Greene, William H., 1982. "Maximum likelihood estimation of stochastic frontier production models," Journal of Econometrics, Elsevier, vol. 18(2), pages 285-289, February.
    2. Basu, Susanto & Fernald, John G., 1995. "Are apparent productive spillovers a figment of specification error?," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 165-188, August.
    3. Nordhaus, William D, 1991. "To Slow or Not to Slow: The Economics of the Greenhouse Effect," Economic Journal, Royal Economic Society, vol. 101(407), pages 920-937, July.
    4. Marco Rogna, 2020. "Microeconomic models of a production economy with environmental externalities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 2625-2650, March.
    5. 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.
    6. Yantuan Yu & Yun Zhang & Xiao Miao, 2018. "Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China," IJERPH, MDPI, vol. 15(10), pages 1-27, October.
    7. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    8. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    9. Stratford, Beth, 2020. "The Threat of Rent Extraction in a Resource-constrained Future," Ecological Economics, Elsevier, vol. 169(C).
    10. Raihana, Bilkis, 2012. "Factor Substitution and Technical Change in Bangladesh Agriculture," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(4), pages 75-86, December.
    11. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    12. T. W. Swan, 1956. "ECONOMIC GROWTH and CAPITAL ACCUMULATION," The Economic Record, The Economic Society of Australia, vol. 32(2), pages 334-361, November.
    13. Kaja Bonesmo Fredriksen, 2012. "Income Inequality in the European Union," OECD Economics Department Working Papers 952, OECD Publishing.
    14. Hao-Dong Lv & Jin-Sheng Zhou & Lin Yang & Yi-Ming Li & Lu Liu, 2020. "An accounting of the external environmental costs of coal in Inner Mongolia using the pollution damage method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1299-1321, February.
    15. Tsigaris, Panagiotis & Wood, Joel, 2016. "A simple climate-Solow model for introducing the economics of climate change to undergraduate students," International Review of Economics Education, Elsevier, vol. 23(C), pages 65-81.
    16. Simone Marsiglio & Alberto Ansuategi & Maria Carmen Gallastegui, 2016. "The Environmental Kuznets Curve and the Structural Change Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 265-288, February.
    17. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    18. Lovell, C. A. Knox, 1995. "Econometric efficiency analysis: A policy-oriented review," European Journal of Operational Research, Elsevier, vol. 80(3), pages 452-461, February.
    19. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    20. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    21. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    22. Fabrizio Bulckaen & Marco Stampini, 2009. "On shadow prices for the measurement of sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(6), pages 1197-1213, December.
    23. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    24. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    25. Vincenzo Verardi & Catherine Dehon, 2010. "Multivariate outlier detection in Stata," Stata Journal, StataCorp LP, vol. 10(2), pages 259-266, June.
    26. Hanns de la Fuente-Mella & Ana María Vallina-Hernandez & Rodrigo Fuentes-Solís, 2020. "Stochastic analysis of the economic growth of OECD countries," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 2189-2202, January.
    27. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    28. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    29. Mauro Boianovsky & Kevin D. Hoover, 2009. "The Neoclassical Growth Model and Twentieth-Century Economics," History of Political Economy, Duke University Press, vol. 41(5), pages 1-23, Supplemen.
    30. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    31. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    32. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    33. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    34. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514.
    35. Moretti, Michele & Vanschoenwinkel, Janka & Van Passel, Steven, 2021. "Accounting for externalities in cross-sectional economic models of climate change impacts," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311093, Agricultural Economics Society - AES.
    36. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    37. Aweewan Mangmeechai, 2014. "Environmental externalities in relation to agricultural sector in Thailand with trade-linked analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(5), pages 1031-1040, October.
    38. Moretti, Michele & Vanschoenwinkel, Janka & Van Passel, Steven, 2021. "Accounting for externalities in cross-sectional economic models of climate change impacts," Ecological Economics, Elsevier, vol. 185(C).
    39. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    40. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    41. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    42. repec:zwi:journl:v:43:y:2012:i:1:p:55-72 is not listed on IDEAS
    43. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    44. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    45. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    46. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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