Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-20T11:48:13.391Z Has data issue: false hasContentIssue false

Recent advances in empirical analysis on growth and environment: introduction

Published online by Cambridge University Press:  13 November 2017

George Halkos
Affiliation:
Laboratory of Operations Research, Department of Economics, University of Thessaly, 28hs Octovriou 78, Volos 38333, Greece. E-mail: [email protected]
Shunsuke Managi
Affiliation:
Department of Urban and Environmental Engineering, Urban Institute, Platform of Inter/Transdisciplinary Energy Research, Kyushu University, Japan. E-mail: [email protected]

Abstract

Recently, there has been significant research interest in the empirical formulations of the environment-income relationship using both global and disaggregated data. Advances in methods and availability of better and more extensive data make the old topic of growth and environment a unique field for Environment and Development Economics, among other journals. Conventionally, the environmental Kuznets curve has been important in testing for emissions of many pollutants in many different countries. Now, policy and institutional data including transparency variables are available, making many social and economic factors interesting for policy analysts. In light of these advances, and the existing associated empirical problems in analyzing the income-environment relationship, the key findings of each paper in this special issue are discussed and connected to the related areas of research interest.

Type
Introduction
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arrow, K.J., Dasgupta, P., Goulder, L.H., Mumford, K.J., and Oleson, K. (2012), ‘Sustainability and the measurement of wealth’, Environment and Development Economics 17(3): 317353.Google Scholar
Dasgupta, P., Duraiappah, A., Managi, S., et al. (2015), ‘How to measure sustainable progress’, Science 13(35): 748.Google Scholar
Halkos, G. (1993), ‘Sulphur abatement policy: implications of cost differentials’, Energy Policy 21(10): 10351043.Google Scholar
Halkos, G. (1994), ‘Optimal abatement of sulphur emissions in Europe’, Environmental and Resource Economics 4(2): 127150.CrossRefGoogle Scholar
Halkos, G. (2003), ‘Environmental Kuznets Curve for sulphur: evidence using GMM and random coefficient panel data models’, Environment and Development Economics 8(4): 581601.Google Scholar
Halkos, G. (2013), ‘Exploring the economy – environment relationship in the case of sulphur emissions’, Journal of Environmental Planning and Management 56(2): 159177.Google Scholar
Halkos, G. and Paizanos, E. (2016), ‘The effects of fiscal policy on CO2 emissions: evidence from the U.S.A.’, Energy Policy 88(C): 317328.Google Scholar
Halkos, G., Managi, S., and Tsilika, K. (2017), ‘Evaluating a continent-wise situation for Capital Data’, Economic Analysis and Policy 55: 5774.Google Scholar
Heil, M.T. and Selden, T.M. (2001), ‘Carbon emissions and economic development: future trajectories based on historical experience’, Environment and Development Economics 6: 6383.Google Scholar
Kuznets, S. (1955), ‘Economic growth and income inequality’, American Economic Review 45: 128.Google Scholar
Managi, S. (2015), The Routledge Handbook of Environmental Economics in Asia, New York: Routledge.Google Scholar
Managi, S., Hibiki, A., and Tsurumi, T. (2009), ‘Does trade openness improve environmental quality?’, Journal of Environmental Economics and Management 58(3): 346363.Google Scholar
Miah, M.D., Masum, M.F.H., and Koike, M. (2010), ‘Global observation of EKC hypothesis for CO2, SO x and NO x emission: a policy understanding for climate change mitigation in Bangladesh’, Energy Policy 38: 46434651.Google Scholar
Miyama, E. and Managi, S. (2014), ‘Global environmental emissions estimate: application of multiple imputation’, Environmental Economics and Policy Studies 16: 115135.CrossRefGoogle Scholar
Muñoz, P., Petters, K., Managi, S., and Darkey, E. (2014), ‘Accounting for the inclusive wealth of nations: key findings of the IWR 2014’, in UNESCO/UNU-IHDP and UNEP, Inclusive Wealth Report 2014. Measuring Progress toward Sustainability, Cambridge: Cambridge University Press.Google Scholar
Solow, R. (2012), ‘A few comments on ‘Sustainability and the measurement of wealth’, Environment and Development Economics 17(3): 354355.Google Scholar
UNESCO/UNU-IHDP and UNEP (2014), Inclusive Wealth Report 2014. Measuring Progress toward Sustainability, Cambridge: Cambridge University Press.Google Scholar
Urban Institute and UNEP (2017), ‘Inclusive wealth report 2017: measuring progress toward sustainability’, Presented at UNEP PAGE Ministerial Conference, 6 March 2017, Berlin, Germany.Google Scholar
Yamaguchi, R. and Managi, S. (2017), ‘New financing for sustainable development: the case for NNP- or inclusive wealth–linked bonds’, The Journal of Environment and Development 26(2): 214239.Google Scholar
Yang, J., Managi, S., and Sato, M. (2015), ‘The effect of institutional quality on national wealth: an examination using multiple imputation method’, Environmental Economics and Policy Studies 17(3): 431453.Google Scholar
Xepapadeas, A. (2012), ‘Sustainability and the measurement of wealth’, Environment and Development Economics 17(3): 315316.Google Scholar
Xepapadeas, A. and Stefan, J. (2014), ‘Introduction: 20 years later’, Environment and Development Economics 19(3): 271284.CrossRefGoogle Scholar