Assessing Sustainable Development Through Wavelet‐Quantile Based Analysis
Comparative Insights From Four Developed Countries
Bibliographic Data
| ID | 12307231 |
|---|---|
| Authors | Ali Çeli̇k (0000-0003-3794-7786, Department of Electronic Commerce and Management Istanbul Gelisim University Istanbul Turkey, corresponding author), Natalia Veselitskaya (0000-0002-2645-7936, Institute for Statistical Studies and Economics of Knowledge National Research University Higher School of Economics Moscow Russia), Sadeq Damrah (0000-0002-5500-3685, Department of Mathematics and Physics, College of Engineering Australian University Safat Kuwait) |
| Year | 2025 |
| Volume | 34 |
| Issue | S2 |
| Pages | 1274-1301 |
| Publication date | 2025-11-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Development (JOURNAL) |
| Journal identifiers | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.70391 |
| OpenAlex | W4415976653 |
| Language | EN |
| References cited | 53 |
Balancing economic growth with environmental sustainability remains a key challenge for developed economies. The load capacity factor (LCF), as a ratio of biocapacity to ecological footprint, provides an integrated measure of this balance. Yet, little is known about how gross domestic product (GDP), labor productivity, and green technologies interact with LCF over time. The present study employs wavelet coherence analysis (WCA) and wavelet quantile regression (WQR) to evaluate the impact of country characteristics such as GDP, population, patents on environmental technologies, renewable energy usage and labor productivity on the LCF in Australia, Canada, the United Kingdom (UK) and the United States of America (USA) during the period 1961–2019. The results suggest that (i) GDP generally affects the LCF negatively for countries; (ii) the population growth rate also has similar negative effects on the LCF; (iii) patents on environmental technologies affect the LCF positively as expected; (iv) finally, renewable energy usage and labor productivity's impact varies—beneficial in the UK, but detrimental in Australia, Canada, and the USA. However, in terms of WCA results, a positive correlation between renewable energy usage and LCF in Australia, Canada, and the USA was detected. These results focus attention on green innovation and renewable energy development, promoting labor productivity in accordance with the unique characteristics of countries. This comparative analysis addresses the temporal and spatial variability of sustainability drivers and provides recommendations for policymakers on balancing economic growth, green technologies, and sustainable development
Gross domestic product · Population · Productivity · Renewable energy · Sustainability · Sustainable development · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Global Energy and Sustainability Research
Determinants of the load capacity factor in China
Effects of population and affluence on CO 2 emissions
Application of the cross wavelet transform and wavelet coherence to geophysical time series
Economic Growth and the Environment
Renewable energy and population growth for sustainable development in the Southeast Asian countries
Unveiling energy efficiency and renewable electricity’s role in achieving sustainable development goals 7 and 13 policies
Environmental consequences of fossil fuel in Spain amidst renewable energy consumption
STIRPAT, Ipat and ImPact
Augmenting agricultural sustainability
Advancing Circular Economy for Climate Change Mitigation and Sustainable Development in the Nordic Region
Toward a sustainable environment within the framework of carbon neutrality scenarios
Empirical Exploration of the Drivers of Human Development in Central and West Asian Countries
Advocating green economy in India
| Citation velocity | historical |
|---|---|
| Highly cited | No |