Energy Income Research Articles

The Influencing Factors and Future Development of Energy Consumption and Carbon Emissions in Urban Households: A Review of China’s Experience

Household energy consumption is one of the major drivers of carbon emissions, and an in-depth analysis of its influencing factors, along with forecasting carbon emission trajectories, is crucial for achieving China’s carbon emission targets. This study reviews the research progress on urban household energy-related carbon emissions (HErC) in China since 2000, with a focus on the latest developments in influencing factors. The study categorizes these factors into five major groups: household characteristics, economic attributes, energy consumption features, awareness and norms, and policies and interventions. The findings indicate that income levels, energy efficiency, and household size are the key determinants of urban HErC of China and are commonly used as core assumptions in scenario-based forecasts of emission trends. In addition, although environmental awareness and government services have increasingly garnered attention, their specific effects require further investigation due to the challenges in quantification. A synthesis of existing forecasting studies suggests that, without the implementation of effective measures, HErC will continue to rise, and the peak emission period will be delayed. Enhancing building and energy efficiency, promoting low-carbon consumption and clean energy applications, and implementing multidimensional coordinated policies are considered the most effective pathways for emission reduction.

Does Common Agricultural Policy Influence Regional Disparities and Environmental Sustainability in European Union Countries?

This study examines the impact of the European Union’s Common Agricultural Policy (CAP) funds, specifically the European Agricultural Fund for Rural Development (FEADR) and the European Agricultural Guarantee Fund (FEGA), on a range of economic, social, and environmental outcomes across European regions. Utilizing Fully Modified Ordinary Least Squares (FMOLS) estimators, this research analyses 13 equations corresponding to various dependent variables, including employment rates, poverty levels, agricultural productivity, and environmental indicators such as greenhouse gas emissions and renewable energy production from agriculture. This analysis covers the period from 2010 to 2021, and draws upon a balanced sample of 301 observations to ensure robust estimations. Results indicate that both FEADR and FEGA payments significantly influence these regional outcomes, though the effects vary depending on the specific economic or environmental indicator examined. The findings reveal that while FEADR payments positively impact rural employment, agricultural income, and renewable energy production, they are less effective in addressing poverty reduction and productivity enhancement. Conversely, FEGA payments exhibit a stronger influence on agricultural productivity and income, but have mixed effects on environmental sustainability. This study highlights significant regional disparities, suggesting that the allocation of CAP funds is uneven in its impact across regions. The implications for policymakers are clear: a more tailored approach is required to enhance the effectiveness of CAP funds in meeting diverse regional needs, particularly in promoting economic development while minimizing environmental harm. This study also emphasizes the need for further research to explore alternative policy mechanisms and innovative agricultural practices that can bridge the gaps identified in the current CAP framework. Limitations of this study include data availability and the inherent complexity of agricultural systems, which may affect the generalizability of the results across different EU member states.

The interaction of income inequality and energy poverty on global carbon emissions: A dynamic panel data approach

The interaction of income inequality and energy poverty on global carbon emissions: A dynamic panel data approach

Impact of business cycles on energy poverty: Exploring the significance with sustainable development goals in newly industrialized economies

Impact of business cycles on energy poverty: Exploring the significance with sustainable development goals in newly industrialized economies

Hostile Environments: Housing and Asylum Policies as Drivers of Energy Deprivation Among UK Refugee Communities

ABSTRACT Although refugees in the UK are highly susceptible to the triad of factors – low income, poor housing and high energy bills – that produce vulnerability to energy deprivation, literature on this issue is rare. We therefore propose a framework towards understanding the role of “non-energy” policies as drivers of energy deprivation among UK refugees, using the conceptual lenses of deservingness, welfare chauvinism and domicide to demonstrate how the condition has been deliberately produced under the UK government’s Hostile Environment approach. We argue that this approach not only damages the physical materiality of housing and the emotional space of home, but also deleteriously impacts upon refugees’ ability to access adequate energy services. Energy deprivation thus emerges as a hidden consequence of policies that normalize precarious housing, a denial of rights, and inadequate incomes, in which “home” becomes a site of exclusion that achieves the Hostile Environment’s goal – making everyday life unbearable.

Carbon footprints, dynamic capabilities, and financial inclusion in G7 and E7 nations

Carbon footprints, dynamic capabilities, and financial inclusion in G7 and E7 nations

Association of systemic immune-inflammation index with body mass index, waist circumference and prevalence of obesity in US adults

This study aims to investigate the potential relationships between the systemic immune-inflammation index (SII) and body mass index (BMI), waist circumference, and the prevalence of obesity. A cross-sectional analysis was conducted on 7,645 individuals aged 20 and above from the NHANES 2017–2020. Multivariate linear regression analyses were conducted to evaluate the association of the logarithmically transformed SII (lgSII) with BMI and waist circumference. Additionally, multivariable logistic regression was utilized to explore the relationship between lgSII and the prevalence of obesity. Fitted smoothing curves and threshold-effect analysis were applied to elucidate nonlinear relationships. In the fully adjusted model, a positive relationship was observed between lgSII and BMI, waist circumference, and obesity prevalence (β = 3.13, 95% CI 2.10–4.16; β = 7.81, 95% CI 5.50–10.13; OR = 1.44, 95% CI 1.12–1.86). The variables of gender, age, race, education, marital status, poverty income ratio (PIR), energy intake, sleep disorder, smoking status, and alcohol use did not significantly modify the positive association between lgSII and obesity. However, physical activity appeared to influence the positive correlation between lgSII and obesity. Using a two-segment linear regression model, an inverted U-shaped relationship was observed between lgSII and both BMI and waist circumference. Furthermore, lgSII demonstrated a linear positive correlation with obesity prevalence. When stratified by physical activity, lgSII showed a non-significant negative correlation with obesity in the physically active group. Our findings underscore a robust association between the logarithmically transformed SII and BMI, waist circumference, and the prevalence of obesity.

Determinants of carbon emissions in Kenya and policy implications

Determinants of carbon emissions in Kenya and policy implications

Escaping the Energy Poverty Trap: Policy Assessment

Climate change and the ongoing energy transition can increase energy poverty rates. To date, the main tool employed to alleviate energy poverty has involved income transfers to vulnerable households. However, measures that seek to improve a home’s energy efficiency have recently gained increasing relevance. In this study we assess the effectiveness of these two types of policy, assuming universal coverage and optimal behaviour. Results points that income transfers and energy efficiency measures have the potential to decrease the proportion of households in energy poverty; however, the magnitude of their respective effects differs greatly. The average impact of energy efficiency measures provides for a greater reduction in energy poverty rates than income transfer policies. Although the greatest reduction in energy poverty is obtained by combining both measures, this combination of tools leads to overlapping effects with income transfers making only a marginal contribution once total retrofit have been implemented.

Role of multiple energy sources under carbon neturality goals, income and energy consumption in transition economies: A joint case study between China and Uzbekistan

Role of multiple energy sources under carbon neturality goals, income and energy consumption in transition economies: A joint case study between China and Uzbekistan

The wall between urban and rural: How does the urban-rural electricity gap inhibit the human development index

The wall between urban and rural: How does the urban-rural electricity gap inhibit the human development index

Energy Poverty and Democratic Values: A European Perspective

This paper explores the complex relationship between energy poverty and the maintenance of democratic values within the European Union (EU), suggesting that energy poverty not only impacts economic stability and health outcomes but also poses significant challenges to democratic engagement and equity. To measure energy poverty, a composite index is developed using the entropy method, which surpasses traditional measures focused solely on access to energy or its developmental implications. To assess the level of democratic governance in EU countries, the voice and accountability index (VEA), which is part of the World Governance Indicators compiled by the World Bank, is utilized. By analyzing EU data from 2006 to 2022, the findings suggest that a 1% improvement in VEA quality, represented by a coefficient of 0.122, is correlated with a notable improvement in the energy poverty index. This suggests that the EU should focus on enhancing transparency and public participation in energy decision-making, along with ensuring accountability in policy implementation. The research also differentiates between full and flawed democracies, noting that tailored approaches are needed. In full democracies, leveraging economic prosperity and trade is crucial due to their significant positive impacts on the energy poverty index. In contrast, in flawed democracies, enhancing governance and accountability is more impactful, as evidenced by a higher coefficient of 0.193. Strengthening legal and regulatory frameworks, improving regulatory quality, and ensuring public engagement in governance could substantially mitigate energy poverty in these contexts. In addition, this paper demonstrates that this relationship is influenced by factors such as income inequality, energy intensity, and trade openness.

Analyzing the nexus between environmental sustainability and clean energy for the USA

Environmental sustainability is a key target to achieve sustainable development goals (SDGs). However, achieving these targets needs tools to pave the way for achieving SDGs and COP28 targets. Therefore, the primary objective of the present study is to examine the significance of clean energy, research and development spending, technological innovation, income, and human capital in achieving environmental sustainability in the USA from 1990 to 2022. The study employed time series econometric methods to estimate the empirical results. The study confirmed the long-run cointegrating relationship among CO2 emissions, human capital, income, R&D, technological innovation, and clean energy. The results are statistically significant in the short run except for R&D expenditures. In the long run, the study found that income and human capital contribute to further aggravating the environment via increasing CO2 emissions. However, R&D expenditures, technological innovation, and clean energy help to promote environmental sustainability by limiting carbon emissions. The study recommends investment in technological innovation, clean energy, and increasing R&D expenditures to achieve environmental sustainability in the USA.

Contributions of homestead agroforestry during the war in Tigray, Ethiopia

Rapid population growth and unplanned settlement and resettlement has increased agricultural development in Ethiopia's Tigray Region, causing forest and land degradation. Governmental and non-governmental organisations have responded to this by establishing exclosures and communal grazing lands to foster natural regeneration. Their efforts have significantly enhanced environmental recovery, reduced soil erosion and increased water recharge, but challenges remain. Transplanted seedlings have low growth and survival rates, and economic gain is hampered by biased benefit sharing and ownership. Additionally, the war that began in Tigray in 2020 has made it difficult to implement watershed-level communal plantations. Farmers and their families have, therefore, adopted homestead agroforestry, an integrated tree-crop-animal production system. The Relief Society of Tigray (REST) assessed farmers' experiences with homestead agroforestry practices and found that, in addition to providing beneficial ecosystem services, homestead agroforestry had contributed significantly towards income generation, food production and energy supply, which proved especially vital in times of war and extreme poverty. The tree species Ziziphus spina-christi was even named "the tree that saved lives" as its fruit became a staple food for those affected by the war. Homestead agroforestry also reduced pressure on forests by meeting people's increasing need for biomass energy, helping to curb deforestation. Despite its many benefits, there remain challenges to developing homestead agroforestry, but available remedies and recent advancements have led district leaders to commit to making homestead agroforestry their priority agenda. Regional strategic documents, technical and financial support, and capacity strengthening are now needed to propel homestead agroforestry to improve more people’s livelihoods and further mitigate forest degradation and land loss.

Nonparametric analysis of the relationship between income inequality and energy consumption in African countries

AbstractEnergy usage and disparities in income have emerged as the major threats that hinder the achievement of sustainable development goals in Africa. This study aims to assess the time‐varying impact of income inequality on both renewable and nonrenewable energy consumption, utilizing both parametric and nonparametric models across a panel of 18 African countries from 1990 to 2015. We find that, according to the parametric model, income inequality does not affect energy consumption. However, the nonparametric estimates point the presence of both positive and negative relationship between the two variables at different time period. The time varying impacts reveal that unfair income distribution affects renewable energy consumption via the dominance of some channels at specific times. Accordingly, the findings of this study emphasize that policymakers in African countries need to give particular heed to the role played by the income inequality in designing cleaner and greener energy transition policies.

How do energy consumption, globalization, and income inequality affect environmental quality across growth regimes?

This paper investigates the impacts of renewable and nonrenewable energy consumption, income inequality, and globalization on the ecological footprints of 49 countries for the period of 1995–2018. Panel cointegration test reveals a long-run relationship between the variables. Long-run parameter estimates derived from AMG and CCEMG, increasing income and nonrenewable energy consumption, have a significant positive impact on the ecological footprint, while countries that consume more renewable energy have seen an improvement in the quality of the environment. Conversely, neither income inequality nor globalization has a significant effect on national EFs. Evidence from the estimation of the panel threshold error correction model, where GDP growth is used as the transition variable, indicates a significant threshold effect, which supports a nonlinear relationship among the variables by identifying two distinct growth regimes: lower and upper. For the estimation sample, the positive and significant parameter estimates for economic growth in both growth regimes do not support the EKC hypothesis. The results indicate that renewable and nonrenewable energy consumption has a larger impact on the EF in the upper than lower growth regime. The threshold estimates are in line with the linear long-run estimates that do not indicate that income inequality has a significant impact on ecological footprint. However, globalization appears to negatively affect environmental quality in the lower growth regime.

Exploring the impact of social capital, institutional quality and political stability on environmental sustainability: New insights from NARDL-PMG

Exploring the impact of social capital, institutional quality and political stability on environmental sustainability: New insights from NARDL-PMG

Does fiscal burden impede green transition? Income, taxation, clean energy, and ecological sustainability in sub‐Saharan Africa

AbstractThis study examines the role of tax burden (TB) in the income–energy–environment nexus in sub‐Saharan Africa (SSA) using the ecological load capacity (ELC) factor as a sustainability indicator. Analyzing data from 1999 to 2021 using the method of moments quantile regression with the bootstrap variance algorithm, the results defy the load capacity curve hypothesis, revealing an inverted U‐shaped relationship between income and ELC. The turning point income is $3257.48 at the 10th quantile and $4317.23 at the 90th quantile. An increased renewable energy share in the consumption mix boosts ELC. Regarding TB, a U‐shaped curve exists between fiscal freedom and ELC, with significance at the 40th and 90th quantiles, with TB score turning points at 67.60 and 71.37, respectively. The Dumitrescu–Hurlin test uncovers bidirectional causality between ELC and the variables. TB affects income and renewable energy unidirectionally, while income and renewable energy have bidirectional causality. These findings suggest that higher taxes on households and businesses hinder the transition to a greener economy via income and energy consumption. An integrated policy approach is necessary to balance revenue generation with the preservation of ecological sustainability in SSA.

A focus on Ghana's sustainable development: Examining the interplay of income inequality and energy poverty

A focus on Ghana's sustainable development: Examining the interplay of income inequality and energy poverty

Does Gender Equality Influence Climate Change in Emerging Market Economies?

This study examines the role of gender equality in CO2 emissions for a panel of six emerging market economies over the period of 1990-2019. The results of cointegration and causality analysis reveal that income inequality, economic growth and energy consumption contribute to environmental degradation, while gender equality helps to reduce it. Though Kuznets’ hypothesis is confirmed, promoting gender equality on the natural environment is nullified in the presence of income inequality and economic growth.