Novel research methods for energy use, carbon emissions, and economic growth
Evidence from the USA
Bibliographic Data
| ID | 15067009 |
|---|---|
| Authors | Xiaoxi Liu (0000-0001-5917-5495, Xi'an Jiaotong University, corresponding author), Xiaoling Yuan (0000-0002-0795-0266, Xi'an Jiaotong University) |
| Year | 2023 |
| Volume | 36 |
| Issue | 1 |
| Pages | 1735-1750 |
| Publication date | 2023-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2022.2092763 |
| OpenAlex | W4287447815 |
| Language | EN |
| References cited | 73 |
Researchers and governments are debating whether to use renewable energy sources or fossil fuels. The impact of the final decision on developed and developing regions is either the same or different. To investigate the answers to these issues, the current study used panel data for the US economy from 1985 to 2020. Following preliminary diagnostic testing, the researchers discovered that the data is stationary at the level and has long-run cointegration. Furthermore, the influence of economic growth (GDP), nonrenewable energy (EU), and renewable energy consumption was investigated using the quantile regression approach (REC). The analysis discovered that the impact of GDP and the EU on carbon emissions is lowest in industrialized countries and highest in underdeveloped countries. However, the corrective influence of REC on carbon emissions is lowest in industrialized countries and highest in developing regions. Although the GDP and EU have less influence on carbon emissions, the corrective effect of REC is also the least; consequently, policymakers should encourage the aggregate production system to use more REC than the EU as a sustainable alternative
Carbon fibers · Economics · Greenhouse gas · Natural resource economics · Climate Change Policy and Economics · Computer Science · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Science · Ecology
The process of economic growth
Combining non‐cointegration tests
An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
Does higher economic and financial development lead to environmental degradation
On the relationship between energy consumption, CO2 emissions and economic growth in Europe
The impact of international trade on CO2 emissions in oil exporting countries
Statistical Inference in Instrumental Variables Regression with I(1) Processes
The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam
Economic Growth and Climate Change
Consumption-based carbon emissions and International trade in G7 countries
Economic growth, energy, and environmental Kuznets curve
How urbanization affects CO 2 emissions in Malaysia? The application of STIRPAT model
The role of environmental technology for energy demand and energy efficiency
The impact of foreign direct investment on environmental quality
Recent Advances in Quantile Regression Models
CO2 emissions, energy consumption and economic growth in BRIC countries
Regression Quantiles
Investigating the spill overs and connectedness between financial globalization, high-tech industries and environmental footprints
Transitions in pathways of human development and carbon emissions
High‐tech industries, financial expansion, and low‐carbon energy deployment along the Belt and Road Initiative
Energy consumption, income, and carbon emissions in the United States
Scrutinizing the direct rebound effect for French households using quantile regression and data from an original survey
Tourism development, energy consumption and Environmental Kuznets Curve
Business Cycles, Indicators, and Forecasting
L'économie française
Quantile Regression
| Citation velocity | historical |
|---|---|
| Highly cited | No |