Environmental adjustment of the EU27 GDP: an econometric quantitative model

Bastarrica, Luis Antonio Galiano; Esquinas, Eva María Buitrago; Caraballo, M. Ángeles; Ovando, Rocío Yñiguez

doi:10.1007/s10669-022-09872-0

Cited by 5 publications

(2 citation statements)

References 69 publications

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“…As for the other implications related to, in particular, GDP, unemployment and trade, it is necessary to increase economic growth via research and development and innovation while avoiding human and environmental externalities (Galiano Bastarrica et al , 2023). It is equally advisable to increase commercial exchanges through less protectionism and the resilience of essential supply chains, while producers should adopt risk mitigation tactics by increasing the number of suppliers for key components and safety stocks.…”

Section: Discussionmentioning

confidence: 99%

Methods of regulatory impact assessment: critical analysis and alternative method

El Kadiri Boutchich

2023

JFRC

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Purpose This study aims to carry out a critical analysis of the methods used to deal with the regulatory impact assessment while proposing an alternative method to overcome some of the drawbacks of the aforementioned methods. Design/methodology/approach To achieve the objective of this work, the methods currently used in regulatory impact analysis are presented by highlighting their scope and the problems they may pose during their applications. After that, the adjusted variant of radial measure is suggested as an alternative method to the aforementioned methods while showing its relevance with regard to other methods using pertinent criteria. Finally, for concretization, a case study related to the sanctions against Russia after its invasion of Ukraine is presented. Findings The findings show that regulations related to the sanctions against Russia are good enough, with a score of 0.846. However, this score is less good in several countries like Germany (0.671), Italy (0.677) and France (0.745) and in the poorest countries. Originality/value The originality of this work resides in using a novel method in the regulatory impact analysis field, which is adjusted variant of radial measure. This method increases the effectiveness of the regulatory impact assessment.

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Section: Discussionmentioning

confidence: 99%

Methods of regulatory impact assessment: critical analysis and alternative method

El Kadiri Boutchich

2023

JFRC

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“…Using the VAR model, Gedikli et al (2022) did not find any causalities between economic growth and environmental pollution in OECD countries. Galiano Bastarrica et al (2022) discussed natural resources and their stochastic properties in the EU-27 countries, using econometrics at the GDP level.…”

Section: Modelling Techniquementioning

confidence: 99%

GHG Emissions and Economic Growth in the European Union, Norway, and Iceland: A Validated Time-Series Approach Based on a Small Number of Observations

Gričar

Bojnec

Baldigara

2022

JRFM

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This research aims to ensure methodological conformance and to test the validity of its empirical application. To do so, the study analysed differentiation of the development patterns of four time-series variables. The relationships between greenhouse gas (GHG) emissions, employment, inflation, and gross domestic product (GDP) at constant prices were analysed, comparing the European Union (EU-27) and two European Free Trade Association countries. The study period covers twelve years of monthly and quarterly data from the beginning of 2010 to mid-2021, where the highest frequency of data was 138 observations. The methodology used included unit root testing and the vector autoregressive model (VAR). The study’s main results show that GDP at constant prices significantly affected GHG emissions in the EU-27 countries. Meanwhile, the lag between inflation and employment did not have a considerable impact. This finding shows that inflation was not a stable variable and had a strong autocorrelation. Variable employment did not follow a normal distribution. It was necessary for this research to adopt a suitable model for the technical procedure.

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Building a Social Progress-Adjusted Indicator of GDP Per Capita for the European Union’s Regions

Picazo-Tadeo,

Gianmoena,

Peiró-Palomino

et al. 2023

Soc Indic Res

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Boosting economic, social and territorial cohesion is a high priority for the European Union. The regional Cohesion Policy is its instrument for achieving this objective, with GDP per capita being the principal criterion for funding allocation. However, social cohesion also embraces a comprehensive range of non-economic features. This paper proposes a composite indicator of GDP per capita adjusted for social progress that incorporates both economic and non-economic issues. Notably, the indicator can account for policymakers’ preferences regarding the relative importance assigned to income and social progress. This novel indicator is used to simulate the eligibility status of European Union regions for funding in several policy scenarios. Regions’ simulated eligibility is then compared with their current eligibility for the period 2021–2027. Based on that comparison, winner and loser regions are identified, thus providing policymakers in charge of the European Cohesion Policy with an insight into the effect of incorporating social progress into funding allocation.

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Environmental adjustment of the EU27 GDP: an econometric quantitative model

Cited by 5 publications

References 69 publications

Methods of regulatory impact assessment: critical analysis and alternative method

Methods of regulatory impact assessment: critical analysis and alternative method

GHG Emissions and Economic Growth in the European Union, Norway, and Iceland: A Validated Time-Series Approach Based on a Small Number of Observations

Building a Social Progress-Adjusted Indicator of GDP Per Capita for the European Union’s Regions

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