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The Gaza Strip in Palestine is suffering from a shortage of water and energy. To manage the current situation and address future issues, practical approaches need to be adopted to enhance water and energy efficiency. The purpose of this paper is to elicit professionals’ perceptions of the drivers affecting water and related energy consumption in residential buildings in the Gaza Strip.

In total, 19 drivers were identified from previous research and modified according to the results of a pilot study. These drivers were ranked under a Relative Importance Index (RII). A questionnaire survey was then administered and non-random purposive sampling used. The population of this study comprised stakeholders, including the United Nation Refugee Work Agency, Gaza Strip Governorates Municipalities, and the Coastal Municipalities Water Utility.

The results of all drivers (i.e. RII=71.43 per cent, mean=3.57) indicated that the respondents agreed about which drivers were affecting water and energy consumption. The sign Test-value was a positive 4.55 and the p-value was 0.000 (i.e. smaller than the level of significance a=0.050). The means of these drivers differed significantly and were greater than the hypothesised value of 3. Accordingly, it was concluded that the drivers investigated significantly affected household residents’ consumption of water and energy in residential buildings. The study revealed that climate changes, knowledge of how to conserve water and energy and household size were the most important drivers affecting household residents’ consumption of water and related energy in residential buildings.

The study will assist the parties concerned about water and energy use to be aware and understand the drivers affecting water and related energy the consumption in order to provide household residents with the necessary knowledge to ensure conservation and sustainability. Although this study related to a narrow geographical area in Palestine, the findings could be useful to similar locations in the Middle East and Africa.

This research demonstrates the drivers affecting water and related energy the consumption in residential buildings in the Gaza Strip which is considered the first study in Palestine and in the region. The study provides a useful platform for the development of appropriate water and energy strategies in Palestine and other similar geographical locations in the Middle East.

The purpose of this study is to explore the potential and challenges of biogas utilization as an alternative and sustainable energy source in the Gurage zone of Southern Ethiopia, where traditional energy sources such as firewood and charcoal are widely used.

The study adopts a mixed-methods approach to collect and analyze data from different sources and perspectives. The research collects quantitative data from structured interviews with 200 rural households who use biogas or other energy sources, and qualitative data from key informant interviews and focus group discussions with biogas experts, local authorities and community leaders. Socioeconomic analysis is conducted to assess the importance of biogas in terms of income, expenditure, health and environmental benefits, and a multivariate probit model is used to identify the factors influencing biogas energy adoption among rural households.

The findings indicate that biogas users are more likely to substitute traditional energy sources with biogas for cooking, lighting and heating purposes. The model reveals that age, sex, education level, land size and livestock quantity influence biogas energy adoption, whereas income, distance to market and access to credit do not have a significant effect. The findings also show that biogas users have higher income, lower expenditure, better health and lower greenhouse gas emissions than nonusers.

The study concludes that the socioeconomic impact of biogas varies among households based on location and lifestyle. The study also highlights the need for further research on the technical, institutional and behavioral aspects of biogas utilization in different contexts.

To address the challenges faced by biogas users and their energy choices, such as lack of awareness, maintenance, quality control and affordability, the study suggests exploring biogas energy to meet the diverse needs of cattle owners in different regions. The study also recommends enhancing the capacity of local stakeholders, promoting public–private partnerships, and developing supportive policies and regulations for biogas development in Ethiopia.

The study implies that biogas utilization can contribute to social development by improving the living standards, health status and gender equality of rural households. The study also suggests that biogas utilization can foster social cohesion and empowerment by creating opportunities for collective action, knowledge sharing and income generation among biogas users and their communities.

The study provides a comprehensive and empirical analysis of the socioeconomic landscape of biogas utilization and the determinants of energy choice in the Gurage zone of Southern Ethiopia. The study also offers valuable insights and recommendations for policymakers, practitioners, researchers and other stakeholders involved in biogas development in Ethiopia and other developing countries.

Energy-related financial literacy (ERFL) which consists of energy literacy, financial literacy and lifecycle cost literacy, can play an instrumental role in addressing climate change by ensuring efficient energy consumption (macro level benefit) and promoting financial well-being (micro level benefit) of households. This study aims to highlight the ERFL level and its effect on the energy consumption of the sample households in the state of West Bengal, India.

The study used primary data on 155 sample households from the two districts, i.e. Hooghly and North 24 Parganas in West Bengal, India, surveyed from September 2022 to November 2022 using a structured questionnaire. The study used the conceptual framework suggested by Blasch et al. (2018) to measure the ERFL. Pertinent statistical techniques and the ordinary least square regression method were used to attain the objectives of the study.

The outcome of the study showed that the average ERFL score was found to be moderate (63%). The findings of the study also indicated that the ERFL exerts a positive influence on reducing energy consumption among the sample households in India.

There is a dearth of research studies on the topic of ERFL around the globe. The very few studies so far conducted are mostly in the context of European economies and Nepal. Perhaps, to the best of the our knowledge, this is the first study on the issue of ERFL in the Indian context. Therefore, the present study will make an original contribution to the small but growing scholarship on ERFL.

The purpose of this study is to examine households’ behavior towards dirty cooking energy utilisation in an environment where relatively higher accessibility to clean energy is noted. Although the low utilisation rate of clean energy can partly be attributed to utility gains anticipated in dirty energy mixes (DEMs) arising out of accessibility constraints, affordances and enablers, it is still unclear on the extend at which each of these contributes towards DEMs manifestation among the seemingly well-to-do households with higher levels of clean energy mixes (CEM) access. This study, therefore, hinges on scrutinising on this lower utilisation patterns despite a seemingly higher accessibility of CEMs, specifically liquified petroleum gases (LPG).

The study is based on a household’s survey that was carried out in 2018, reaching a sample of 393 households using questionnaires in four wards of the Kigamboni district in Tanzania. Subsequent analyses were descriptive as well as inferential based on binary logistic regression analysis where utilisation of DEMs was predicted for both the high and low social economic status (SES) households by incorporating accessibility constraints, affordances and enablers.

The results show, first, if one assumes energy stacking is not an issue, as households become more constrained towards CEMs utilisation, they shift towards DEMs suggesting that the overall effect is a substitution, and second, the complementarity effect ultimately outweighs the substitution effect as households do not shift from DEMs to CEMs rather stack multiple energy. DEMs flourish in this case study area because those with high income are among those in the lowest SES, and some of those with the highest SES are from among the lowest income category, and all of them end up with more DEMs because shifting towards CEMs require income to complement SES.

Policy-wise, removing hurdles in accessing CEMs such as LPG subsidy programme, gas stove provision to the poor, and enhanced LPG awareness will most likely benefits only those who do not stack energy in cooking while strategies targeting those at the lowest SES such as higher education attainment, empower women as a family decision maker, encourage co-occupancy to enlarge the household size and contain urban growth within certain perimeter will have a significant impact only if they raise both incomes and SES.

Despite of the dominance of DEMs for cooking such as charcoal and firewood in Tanzania, CEMs such as LPG, have emerged as complements or alternatives in the household energy basket. The utilisation of such CEMs is, however, still very low despite the accessibility, cost, environmental and health advantages they offer. Accessibility is not the only factor fuelling CEMs; a complementarity must exist between SES and income for the positive transition towards CEMs to be realised.

The escalating levels of greenhouse gas emissions have become a growing global concern, with household energy consumption emerging as a significant contributor. To develop effective public policies, it is crucial to understand the energy-saving behavior of households. This study delves into the determinants of energy-saving practices in a developing country.

The authors chose a multivariate probit model, as it allowed to look after possible correlations among seven energy-saving practices within households.

The findings underscore the significant influence of sociodemographic variables, such as gender, civil status, income and education, on energy-saving practices. Furthermore, the authors discovered that households where the head actively volunteers in social organizations are more likely to adopt energy-saving behaviors. Additionally, internet access positively contributes to pro-environmental behavior. This research reveals that certain energy-saving practices are interconnected, acting as complements or substitutes.

Recommendations for public policy include prioritizing education in rural areas to boost energy-saving practices, improving internet access in nonurban regions and promoting citizen involvement in social organizations to enhance environmental awareness and encourage energy-saving behavior. The authors contribute to literature evidencing that certain energy-saving practices are not independent of each other, they are rather complementary and, in some cases, substitutes.

Recommendations for public policy include prioritizing education in rural areas to boost energy-saving practices, improving Internet access in nonurban regions and promoting citizen involvement in social organizations to enhance environmental awareness and encourage energy-saving behavior.

Previous studies have overlooked these interdependencies, highlighting the necessity of a system of equations to yield more efficient estimates by considering correlations between error terms.

Promoting clean heating in rural areas is crucial for achieving a low-carbon transition of energy consumption and China's dual-carbon target. The study aims to consider the energy stacking behavior in heating energy use, reveals the determinants that affect household cleaner heating choices under the winter clean heating plan (WCHP), and proposes policy recommendations for the sustainable promotion of clean heating.

With unique rural household survey data covering the clean heating pilot regions in northern China in 2020, this study estimates the relationship between driving factors and heating energy choices through binary and multivariate probit models.

The regression estimates show that the main drivers of heating energy choices include household income per capita, education level of household head, knowledge of the WCHP, access to heating subsidies and perception of indoor air pollution. There is energy stacking behavior in rural household heating energy use. Household decisions to adopt electricity or clean coal heating are correlated with firewood or soft coal use.

This study is one of the few to investigate the heating energy use of rural households by allowing for the adoption of multiple energy types. Combined with a unique microsurvey dataset, it could provide rich information for formulating proper energy transition planning. The findings also shed light on the importance of heating subsidies, households' knowledge of WCHP and awareness of environmental health in choosing clean heating energy, which has not been fully valued in related research.

The adoption of solar energy by households is an important avenue of protecting the environment and enabling energy access in rural areas, especially in developing countries like Uganda, where energy access is low. Therefore, this study aims to investigate the factors that influence the households’ willingness to adopt solar photovoltaic (PV) energy and how soon the households are willing to adopt solar PV energy for business use in Uganda.

Heckman’s two-step selection model was used to determine the willingness and urgency of adopting solar PV energy for business use in selected districts in Eastern Uganda. The respondents were selected purposively at the household level at a given point in time.

Results show that sex, household head estimated income, mode of acquisition and repayment terms of solar technology positively influence both willingness and urgency to adopt solar energy for business use in households. However, financial disclosure only influences willingness to adopt solar. Then, age and energy need only significantly influence how soon the household is willing to adopt solar PV energy for business use.

This study’s findings essentially apply to the individual factors that determine the willingness and urgency to adopt solar PV energy for business use by households. Hence, further research is needed to understand the external and industrial factors which could strengthen the predictive potential of the elements in this study.

This study underscores the need for regulatory enforcement on the supply and usage of quality, reliable and affordable solar equipment which are suitable for business use. Also, the need to promote and finance the usage of solar PV as a green energy source for household businesses has been emphasized.

The study simultaneously examines the willingness and urgency to adopt solar PV energy for household business purposes using Heckman’s two-step selection model. This has hitherto remained unknown empirically.

This paper aims to examine the role of off-farm work in the rural residential energy transition in China.

To guide this empirical work, the authors present a simple farm-household model to explain rural energy consumption. The authors then empirically assess three main mechanisms through which off-farm work can speed up energy transition in rural China using panel data methods.

The study shows that income growth from off-farm work can reduce the consumption of traditional biomass energy and facilitate a shift to commercial energy. The losses of labor available for on-farm production raise the shadow price of non-tradable biomass energy and further dampen the demand for traditional biomass energy. More importantly, the authors find that working in service sectors can significantly promote the consumption of commercial energy by rural households. The sectoral exposure effect indicates that a new working environment may influence rural households' energy preferences and thus accelerate the transition away from traditional biomass energy.

Previous studies focus mainly on the income effect of off-farm work on rural energy consumption. The authors first identify three related but essentially different effects of off-farm work on rural energy transition in China. This study provides new insights into the process of energy consumption transition in rural China.

The authors estimate the reduction of electricity poverty in Vietnam. The essential argument is that human development is about subjective feeling as much as technology and income.

The authors use a self-reported satisfaction indicator as complementary to objective indicators based on national household surveys from 2008 to 2018.

In 2010, the fraction of households with access to electricity was over 96%. However, over 24% declared their electricity use did not meet their needs. Since 2014, the satisfaction rate is around 97%, even if 25% of the households used less than 50 kWh/month. Today there is electricity for all in Vietnam, but electricity bills weigh more and more in the budget of households.

The subjective energy poverty measure allows better international statistics: unlike poverty or needs-based criteria, self-assessed satisfaction of needs compares across income levels and climates.

Inequalities in electricity use among Vietnamese households decreased during the 2008–2018 period, but are not greater than inequalities in income, contrary to the findings of Son and Yoon (2020).

Engineering and econometric objectivist approaches dominate the literature on sustainability monitoring. Out of 232 sustainable development goal (SDG) indicators, only two are subjective. Yet the findings show that subjective indicators tell a different part of the story. Access is not grid building, but the meaningful provision of electricity to satisfy the needs.