A new database on Green GDP; 1970–2019: a framework for assessing the green economy

Saša Stjepanoviæ, Daniel Tomiæ and Marinko Skare
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Saša Stjepanoviæ: Juraj Dobrila University, Croatia
Daniel Tomiæ: Juraj Dobrila University, Croatia

Oeconomia Copernicana, 2022, vol. 13, issue 4, 949-975

Abstract: Research background: Numerous modern indicators are attempting to integrate better economic, political, social, and environmental ambitions to uncover potential synergy, trade-offs, and future views that center around the notion of a so-called green economy. As long as the various indicators are not bounded in one comprehensive measurement, utilizing knowledge of relevant information and statistics that are crucial for monitoring the progress will not give us answers on the progress towards green growth either. Without an adequate measurement framework and robust statistics, the evaluation of the green economy is open to subjective reasoning. Purpose of the article: This paper aims to offer a strong standpoint for green topics by exploring the concept of Green GDP. The paper introduces a new, updated database on Green GDP for the set of 160 countries from 1970–2019. Methods: This database is distinctive due to its balanced coverage of two components of the green economy: quantitative feature (standard methodological algorithm) and qualitative feature (opportunity costs) within a common Green GDP accounting framework. Findings & value added: Standardizing new methodologies and procedures for estimating environmental costs with a statistical foundation provides added value, which we hope will support the creation of reliable accounting and valuation systems for the green economy on a developing "green platform."

Keywords: green economy; green GDP; environment; database as time series; methodology; sustainability; sustainable growth; sustainable green development (search for similar items in EconPapers)
JEL-codes: C80 F01 Q51 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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