Environmental policies and productivity growth

Koźluk, Tomasz; Zipperer, Vera

doi:10.1787/eco_studies-2014-5jz2drqml75j

Cited by 82 publications

(37 citation statements)

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“…However, Jaffe and Palmer () argued the opposite, that is, environmental regulation does not affect environmental innovation. So, the effect of environmental regulation on innovation activities depends on the level of study (Kozluk & Zipperer, ). Firm‐specific factors mean companies start from different places in their environmental innovation activities (Rehfeld et al, ), which makes it important to consider firms’ age and size as determinants of EI.…”

Section: Literature Review: Definition Types and Determinants Of Eimentioning

confidence: 99%

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

2018

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In the past decade a stream of studies has analyzed the determinants of eco‐innovation. Four main clusters of drivers have been identified in the literature: “technology push,” “market pull,” “regulatory push‐pull,” and “firm specific factors.” Nevertheless, the empirical quantitative and comparative analysis of those clusters is rare, scattered and inconclusive. This article aims to fill this gap by analyzing the determinants of eco‐innovation on the basis of a meta‐analytic study of quantitative empirical studies published over the period 2006 to 2017—a meta‐analysis which accounts for a total of 211,123 firms. The findings show that firms with collaborative networks and/or more environmental concern are more prone to eco‐innovate, emphasizing the role of “technology push” as the main cluster of determinants, regardless of whether a typology of eco‐innovation is included as a moderator in the meta‐analysis. Based on the results of the meta‐analytic study, the paper discusses several courses of action to foster eco‐innovation and achieve environmental benefits.

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Section: Literature Review: Definition Types and Determinants Of Eimentioning

confidence: 99%

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

2018

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“…Source: (i) Authors elaboration, (ii) Koźluk and Zipperer, (2014), (iii) Brunel and Levinson, 2013 3.…”

Section: Environmental Performance/outcomesmentioning

confidence: 99%

Measuring Environmental Policy Stringency in OECD Countries

Botta

Koźluk

2014

OECD Economics Department Working Papers

132

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JT03367916Complete document available on OLIS in its original format This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. ECO/WKP(2014)73 Unclassified English -Or. English ECO/WKP(2014)73 2 OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s).Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works.Comments on Working Papers are welcomed, and may be sent to This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. © OECD (2014)You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgment of OECD as source and copyright owner is given. All requests for commercial use and translation rights should be submitted to rights@oecd.org ECO/WKP (2014)73 3 ABSTRACT/RÉSUMÉ Measuring Environmental Policy Stringency in OECD Countries-A Composite Index ApproachCross-country analysis of the economic effects of environmental policies is limited by the lack of reliable, comparable measures of the stringency of environmental policies. This paper attempts to fill this gap, by constructing new quantitative indexes of environmental policy stringency (EPS). Selected environmental policy instruments, primarily related to climate and air pollution, are scored and aggregated into composite EPS indexes. Two EPS indexes are proposedone for the energy sector, and an extended one to proxy for the broader economy ("economy-wide"). They cover most OECD countries over 1990s-2012. While a simplification of the multidimensional reality of environmental policies, the EPS indicators are a first tangible effort to measure environmental policy stringency internationally over a relatively long time horizon. They show relatively high and significant correlations with alternative proxies of EPS used in the literature, such as measures of perceived stringency based on surveys, measures based on environmental outcomes and a composite policy-based measure with no time series. The paper describes some additional features of the EPS indicators and sketches out possible future ext...

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“…Other major topics, both in research and policy, are the influence and the effects of environmental expenditure and regulation on economic development (Pearce & Palmer, 2001;Dechezleprêtre & Sato, 2014;Koźluk & Zipperer, 2015), if command and control measures limit technological progress, as they do not offer any motivation for innovation (De Santis & Lasinio, 2015), reduce productivity growth (Smith & Sims, 1985;Managi, Opaluch, Jin, & Grigalunas, 2005) and firms' profitability with respect to the relationship between free trade and pollution regulations (Alpay, Buccola, & Kerkvliet, 2002). The negative effects on labor productivity are either ambiguous (Becker, 2011), or contradictory, depending on the timeframe (Alpay et al, 2002), on the analysis model (Gray, 1987), or the chosen pollutant (Greenstone, List, & Syverson, 2012).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Exploring Environmental Kuznets Curve. An Investigation on Eu Economies

Bădulescu

Simuț

et al. 2019

Technological and Economic Development of Economy

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Designing and implementing relevant and effective environmental policies and fostering green and environmental-friendly approaches and behaviors are constant aims for policy makers all over the world. Concurrently, implementing environmental policies involves significant economic and financial efforts, in order to repair environmental damage and to prevent future negative environmental consequences. How effective are the environmental expenditures and how are they related to the economic growth, i.e. the GDP level, are issues of major concern at a governmental level. In this article we are examining the relation between GDP and environmental expenditure, by using statistical data available for EU economies, for the time period 1995-2013. We found that the Environmental Kuznets Curve hypothesis is supported in most of the EU economies, both for government environmental protection and specialized providers, public and private environmental protection. Further and deeper analyses performed showed different situations for specific countries and even a negative relation between GDP and government environmental protection for specific cases.

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Environmental policies and productivity growth

Cited by 82 publications

References 0 publications

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

Shedding light on the determinants of eco‐innovation: A meta‐analytic study

Measuring Environmental Policy Stringency in OECD Countries

Exploring Environmental Kuznets Curve. An Investigation on Eu Economies

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