Environmental Regulation and Green Skills: An Empirical Exploration

Vona, Francesco; Marin, Giovanni; Consoli, Davide; Popp, David

doi:10.1086/698859

Cited by 120 publications

(202 citation statements)

References 42 publications

(48 reference statements)

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“…They generally found modest differences but also a bias towards higher skills for green jobs (see also Bowen et al, 2018). Vona et al (2018) was the first paper to provide a direct test of the effect of recent amendments to the Clean Air Act on skill demand in US regions over the period 2006-2014. Extending the nuanced results of Consoli et al (2016) obtained using standard skill measures, they also used O * NET to identify the skills that are significantly different between green jobs and other jobs.…”

Section: Related Literaturementioning

confidence: 99%

“…We focus our analysis on four occupational groups: managers (ISCO 1), professionals (ISCO 2), technicians (ISCO 3) and manual workers (ISCO 7, 8 and 9). The paper by Vona et al (2018), which empirically identifies the skills relevant for green and brown jobs, motivates the separate inclusion of professionals, managers and technicians. Engineering and design skills emerge as the most important skills for both the green and polluting sectors.…”

Section: Data and Measuresmentioning

confidence: 99%

“…We contribute in three ways to the scant empirical literature on the distributional impacts of environmental policies across different worker groups, which has mostly been limited to the US (Walker, 2011;Vona et al, 2018). First, we expand the breadth and generality of previous works by considering a more aggregated level of analysis.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Climate policies and skill-biased employment dynamics: Evidence from EU countries

Marin

Vona

2019

Journal of Environmental Economics and Management

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The political acceptability of climate policies is undermined by job-killing arguments, especially for the least-skilled workers. However, evidence of the distributional impacts for different workers remains scant. We examine the associations between climate policies, proxied by energy prices, and workforce skills for 14 European countries and 15 industrial sectors over the period 1995-2011. Using a shift-share instrumental variable estimator and controlling for the influence of automation and globalization, we find that climate policies have been skill biased against manual workers and have favoured technicians. The long-term change in energy prices accounted for between 9.2% and 17.5% (resp. 4.2% and 8.0%) of the increase (resp. decrease) in the share of technicians (resp. manual workers).

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Section: Related Literaturementioning

confidence: 99%

Section: Data and Measuresmentioning

confidence: 99%

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Climate policies and skill-biased employment dynamics: Evidence from EU countries

Marin

Vona

2019

Journal of Environmental Economics and Management

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“…Since the reform and opening up of China's economy in December 1978, the environmental problems caused by the country's extensive economic growth are attracting increasing global attention [1][2][3]. The signing of the International Framework Convention on Climate Change and the finalization of the Paris Agreement have shown that governments, while striving to increase the level of economic development, must also consider environmental protection [4][5][6]. Given the nature of environmental public goods, property rights are difficult to define, and the problem of negative externalization cannot be solved completely by relying solely on the market mechanism.…”

Section: Introductionmentioning

confidence: 99%

Does Environmental Regulation Repress the International R&D Spillover Effect? Evidence from China

2019

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The inconsistent direction between environmental regulation and technological progress is receiving increasing attention, but scholars have neglected the relationship between the two in the open economy. Against this background and based on the panel data of 30 provinces in China from 2003 to 2015, we examined the effect of environmental regulation on the international research and development (R&D) spillover effect and its regional differences in three economic regions: The Bohai Rim, Pan-Yangtze River Delta, and Pan-Pearl River Delta economic regions. The results show that (1) at China's macro level, and at that of the three economic regions, the level of environmental regulation and international R&D spillover from import trade or foreign direct investment channels show an inverted N relationship; that is, in all provinces the weak environmental regulation initially inhibited the international technology spillover. However, as the intensity of environmental regulation increased, the level of international R&D spillovers continually rose, but overly harsh environmental regulation was not conducive to the overflow of international technology; (2) the adoption of different environmental regulations will affect the international R&D spillover effect and the inverted N relationship of environmental regulation, thus changing the inflection point of environmental regulation; and (3) currently, the level of environmental regulation is relatively low, as most provinces have not yet broken through the first turning point of the inverted N, and only a few provinces are within the rising stage of the inverted N curve. This paper provides corresponding policy suggestions according to the above conclusions.

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“…However, significant empirical contributions emerged from the use of the BLS GGS data, and from debates regarding the definition and measurement of green economic activities in the US. This includes research where the BLS data has been linked to the O*NET database to enable the task-based identification of green jobs (Vona et al, 2018a(Vona et al, , 2018b. This approach, and the relationship of the BLS data to NAICS codes, permits analyses of the distribution of green jobs that are disaggregated by location and by education-level.…”

Section: Previous Green Economy Measurement By the Us Federal Governmentmentioning

confidence: 99%

Estimating the scale of the US green economy within the global context

Georgeson

Maslin

2019

Palgrave Commun

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The green economy has previously been defined and measured in various, but limited, ways. This article presents an estimation of the scale of and employment in the US Green Economy using a data triangulation approach that uses many sources of data and multiple types of data. This can give a suggestion of the green economy's role in economic development and employment at the country level. It also makes it possible to compare the scale of 'green jobs' to employment in fossil fuel-related sectors, and to compare the US green economy to other economies. Through the Low Carbon and Environmental Goods and Services Sector (LCEGSS) dataset, the US green economy is estimated to represent $1.3 trillion in annual sales revenue and to employ nearly 9.5 million workers; both of which have grown by over 20% between 2012/13 and 2015/16. Comparison with China, OECD members and the G20 countries suggests that the US is estimated to have a greater proportion of the working age population employed (4%) and higher sales revenue per capita in the green economy. Estimated values for other countries suggests that they too have significant production and consumption in the green economy and the US should consider, as other economies are, developing energy, environmental and educational policies relevant to the green economy to remain competitive in these areas. Given the shortcomings of other data sources, this information can contribute to understanding the potential impact of changes to federal-level policies on economic sectors that are vital to combating climate change and protecting the environment.

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Environmental Regulation and Green Skills: An Empirical Exploration

Cited by 120 publications

References 42 publications

Climate policies and skill-biased employment dynamics: Evidence from EU countries

Climate policies and skill-biased employment dynamics: Evidence from EU countries

Does Environmental Regulation Repress the International R&D Spillover Effect? Evidence from China

Estimating the scale of the US green economy within the global context

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