A new database on Green GDP; 1970-2019
A framework for assessing the green economy
Bibliographic Data
| ID | 19484178 |
|---|---|
| Authors | Saša Stjepanović (0000-0003-1938-3681, Juraj Dobrila University of Pula), Daniel Tomić (0000-0002-7309-6096, Juraj Dobrila University of Pula), Marinko Škare (0000-0001-6426-3692, Juraj Dobrila University of Pula) |
| Year | 2022 |
| Volume | 13 |
| Issue | 4 |
| Pages | 949-975 |
| Publication date | 2022-12-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Oeconomia Copernicana (JOURNAL) |
| Journal identifiers | ISSN: 2083-1277 • E-ISSN: 2353-1827 |
| Publisher | Instytut Badan Gospodarczych / Institute of Economic Research (PUBLISHER) |
| DOI | 10.24136/oc.2022.027 |
| OpenAlex | W4313393548 |
| Language | EN |
| Citations received | 11 |
| References cited | 22 |
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."
Economics · Economy · Green Economy · Green growth · Machine learning · Political science · Sustainable development · Climate Change Policy and Economics · Computer Science · Energy, Environment, Economic Growth · Sustainable Development and Environmental Policy · Accounting
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| Unique citing works | 11 |
|---|---|
| Citations per year | 3,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |