Balancing the scales
Does public debt and energy poverty mitigate or exacerbate ecological distortions in Nigeria
Bibliographic Data
| ID | 7811075 |
|---|---|
| Authors | Uju Regina Ezenekwe (0000-0003-2751-4602, Department of Economics Nnamdi Azikiwe University Awka Nigeria), Kingsley Ikechukwu Okere (0000-0002-1845-4583, Department of Banking and Finance Kingsley Ozumba Mbadiwe University Imo State Nigeria), Stephen Kelechi Dimnwobi (0000-0002-5964-9627, Department of Economics Nnamdi Azikiwe University Awka Nigeria, corresponding author), Chukwunonso Ekesiobi (0000-0002-8750-7175, Department of Economics Chukwuemeka Odumegwu Ojukwu University Igbariam Nigeria) |
| Year | 2024 |
| Volume | 74 |
| Issue | 252 |
| Pages | 451-475 |
| Publication date | 2024-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Social Science Journal (JOURNAL) |
| Journal identifiers | ISSN: 0020-8701 • E-ISSN: 1468-2451 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/issj.12465 |
| OpenAlex | W4387595092 |
| Language | EN |
| Citations received | 5 |
| References cited | 71 |
Amid Nigeria's economic growth and energy challenges, the escalating public debt (PB) levels and persistent energy poverty (EP) raise critical questions about their potential impacts on the environment. Given the potential conflict among economic development, EP alleviation and ecological conservation, it becomes pertinent to understand whether increased PB and efforts to address EP inadvertently contribute to or alleviate ecological imbalances within the country. Hence, this research investigates the effect of PB and EP on the load capacity factor (LCF) in Nigeria. Using the STIRPAT model and annual data from 1990 to 2021, the study explores the relationships among total PB, EP, gross domestic product per capita, urbanization and LCF. Descriptive analysis, correlation assessments and unit‐root tests precede the data analysis conducted with the autoregressive distributed lag (ARDL) model and dynamic ARDL (DARDL) technique. Key findings reveal significant negative effects of urbanization and EP on LCF. Additionally, the ARDL and DARDL procedure highlights a positive long‐term relationship between PB and LCF. Both ARDL and DARDL analyses show a negative short‐term relationship between GDP growth per capita and LCF, signalling the need for sustainable economic practices. The study concludes with policy recommendations that aim to promote sustainable development and address ecological imbalances by tackling EP and PB challenges in Nigeria
Biology · Debt · Descriptive statistics · Development economics · Distributed lag · Econometrics · Economic growth · Economics · Gross domestic product · Macroeconomics · Natural resource economics · Per capita · Poverty · Sustainability · Sustainable development · Urbanization · Ecology · Energy and Environment Impacts · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth
Assessing energy poverty and its effect on CO2 emissions
Statistical inference in vector autoregressions with possibly integrated processes
Testing for short- and long-run causality
Recognition of and response to energy poverty in the United States
Impact of Population Growth
The impact of green technological innovation and institutional quality on CO2 emissions in African countries
Energy poverty, environmental degradation and agricultural productivity in Sub-Saharan Africa
The Ipat Equation and Its Variants
Transitions to sustainable development
The nexus between ecological footprint, economic growth, and energy poverty in sub-Saharan Africa
Renewable energy, fiscal policy and load capacity factor in BRICS countries
STIRPAT, Ipat and ImPact
Environmental justice, infrastructure provisioning, and environmental impact assessment
Funding the green transition
Flood Risk as Legacy Vulnerability
Reconsidering the nexus between monetary policy and economic growth in Nigeria
Population Growth and CO2 Emission in Nigeria
| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |