Household Consumption Patterns Research Articles

Reviewing the impact of energy-efficient appliances on household consumption

This review provides a succinct overview of the review on the impact of energy-efficient appliances on household consumption: Energy-efficient appliances play a pivotal role in mitigating energy consumption and promoting sustainability in households. This review examines the significant impact of energy-efficient appliances on household consumption patterns and energy usage. The review begins by elucidating the importance of energy efficiency in mitigating climate change and reducing carbon emissions. It underscores how household consumption accounts for a substantial portion of total energy usage, making it imperative to explore the role of energy-efficient appliances in curbing energy consumption. Key findings reveal that energy-efficient appliances offer substantial benefits, including reduced energy bills, lower environmental impact, and enhanced comfort and convenience for households. Through advanced technologies and design innovations, these appliances minimize energy wastage while maintaining optimal performance standards. Moreover, the review delves into the diverse range of energy-efficient appliances available to consumers, spanning from refrigerators and washing machines to HVAC systems and lighting fixtures. It examines the energy-saving features and efficiency standards governing these appliances, highlighting their role in promoting sustainable consumption habits among households. Furthermore, the review evaluates the economic and environmental implications of adopting energy-efficient appliances. It explores how energy savings translate into cost reductions for households, contributing to economic resilience and financial well-being. Additionally, it analyzes the environmental benefits, such as reduced greenhouse gas emissions and conservation of natural resources, associated with the widespread adoption of energy-efficient appliances. Challenges and barriers to the widespread adoption of energy-efficient appliances are also scrutinized, including upfront costs, consumer awareness, and market availability. Strategies to overcome these challenges, such as financial incentives, public awareness campaigns, and regulatory frameworks, are discussed to facilitate greater uptake of energy-efficient appliances among households. In conclusion, this review underscores the transformative impact of energy-efficient appliances on household consumption patterns and energy usage. It advocates for continued efforts to promote the adoption of energy-efficient appliances through policy interventions, technological advancements, and consumer education initiatives, ultimately fostering a more sustainable and energy-efficient future for households worldwide.

The impact of inclusive finance on household carbon emissions—evidence from China

ABSTRACT Access to financial services plays a crucial role in shaping household consumption patterns and carbon emissions. The advancement of inclusive finance in China, known for stimulating consumption, prompted an examination of its impact on household carbon emissions. Our study reveals that inclusive finance substantially lowers Chinese household carbon emissions by enhancing green awareness and reducing income inequality. Notably, the effects of inclusive finance are more significant in rural regions and among households with younger heads. Therefore, fostering inclusive finance is essential for harmonizing financial equity with environmental sustainability.

Causal relationship between household consumption transition and CO2 emission in China: a dynamic panel model.

The mitigation of carbon dioxide (CO2) generated from household consumption, accounting for 52% of China's total greenhouse gas emissions, plays a pivotal role in China's pursuit of reaching a carbon peak by 2030. The study used three waves of nationally representative longitudinal data, energy statistics data, and input-output table to estimate household CO2 emissions (HCEs) in China at the micro-scale. The dynamic relationship between household consumption pattern transition and HCEs per capita was explored by applying maximum likelihood and structural equation modeling (ML-SEM) with panel data. The results indicate that per capita HCE level in a given year appears to be positively associated with HCE level for the same household in the previous year. A U-shaped relationship between consumption pattern transition and HCEs per capita was confirmed, as well as the reinforcement effect of income on the impacts of consumption pattern transition. The increase in consumption propensity, household income, share of wage-income, household asset values, and house space results in higher HCEs per capita. The family size and dependency ratio have a negative relationship with HCEs, whereas households that are female-oriented and more Internet-dependent tend to produce more CO2. Exploring the consumption transition of households is crucial for reducing CO2 emissions at the household level in China.

Does being single bring freedom or burden? Examining the expenditure patterns of single-person households in Taiwan

This study utilizes data from Taiwan’s “The Survey of Family Income and Expenditure” from 2011 to 2021 to examine the differences in expenditure patterns between single-person households and multi-person households. The aim is to understand the impact of being single and living alone on living expenses. The estimation results indicate that, after controlling for other variables, single-person households spend significantly more on “housing, water, electricity, gas, and other fuels”, amounting to NT$67,920 per capita higher than other families. Additionally, per capita expenditures related to maintaining the living environment and daily operations are also significantly higher for single-person households. This shows the higher fixed cost of living alone without sharing expenses with others. However, single-person households have the advantage of being able to concentrate their expenses more on themselves. Significant higher per capita expenditures on several “treating oneself well” items demonstrate the freedom that comes with single living. On the other hand, the comparison of income elasticities shows that the expenditures of single-person households fluctuate more significantly, indicating higher financial risks.

Economic Survey of Household Expenditure Pattern during COVID-19 Pandemic in Ogun State, Nigeria

Economic Survey of Household Expenditure Pattern during COVID-19 Pandemic in Ogun State, Nigeria

Uncertain parameters adjustable two-stage robust optimization of a rural housing integrated energy system considering biomass on-site utilization

Rural areas will be an important component to achieve carbon neutrality. However, there are currently issues such as an unreasonable energy consumption structure and low efficiency in renewable energy utilization. It is urgent to propose an energy optimization solution to address these problems. Therefore, considering the advantages of renewable energy in rural areas and the diversified and decentralized energy consumption patterns of rural households, a rural housing integrated energy system (RHIES) is proposed, which includes photovoltaics and a biomass utilization chain through self-production and local consumption. Subsequently, considering the economic and low-carbon aspects of the system's operational process, an uncertain parameters adjustable two-stage robust optimization model (UPATSRO) is developed to achieve a balance between robustness and economic efficiency during the scheduling optimization process. The results of case study indicate that the proposed RHIES reduces costs and carbon emissions by 28.15% and 93.83%, respectively, compared to conventional approaches. The biomass utilization mode satisfies 52.31% of the gas load and 39.71% of the thermal load for households. Additionally, it is shown that the proposed UPATSRO optimization model can achieve a flexible adjustment of scheduling schemes during the scheduling optimization process.

Behavior change intervention to sustain iodide salt utilization in households in Ethiopia and study of the effect of iodine status on the growth of young children: community trial.

Monitoring systems in a broad range of countries are a notable effort to eliminate iodine deficiency disorders (IDDs). This study aimed to gather data on the amount of iodide present in table salt and how household consumption patterns affect children's iodine status and its effect on their growth. A single treatment arm community trial study design was designed. Lower community units (LCUs) were chosen at random from districts assigned either intervention or control. From a list of LCUs, 834 mothers and their paired children were chosen randomly. Urine and table salt samples were collected and examined in the national food and nutrition laboratory. The deference between arms was determined using a t test, and the generalized estimating equation (GEE) was used to forecast parameters. The mean iodide content in the table salt samples of 164 (98.1%) was 45.3 ppm and a standard deviation (SD) of 14.87, which were above or equal to the recommended parts per million (ppm). Between the baseline survey and the end-line survey, the mean urine iodine concentration (UIC) was 107.7 µg/L (+/- 8.64 SD) and 260.9 µg/L (+/- 149 SD). Children's urine iodine excretion (UIE) had inadequate iodine in 127 (15.2%) children at the beginning of the study, but only 11 (2.6%) of the intervention group still had inadequate iodine at the end. The childrens' mean height (Ht) was 83.1 cm (+/-10 SD) at baseline and 136.4 cm (+/-14 SD) at the end of the survey. Mothers knew a lot (72%) about adding iodized salt to food at the end of cooking, and 183 (21.9%) of them did so regularly and purposefully. A total of 40.5% of children in the intervention group had stunted growth at baseline, which decreased to 15.1% at the end of the study but increased in the control group to 51.1%. The mean difference (MD) of urine iodine concentration (UIC) between intervention and control groups was 97.56 µg/L, with a standard error (SE) of 9.83 (p=0.001). The end-line Ht of children in the intervention group was increased by 7.93 cm (β=7.93, p=0.005) compared to the control group. Our research has shown that mothers who embraced healthy eating habits had perceived improvements in both the iodine status and height growth of their children. In addition to managing and using iodine salt, it has also introduced options for other healthy eating habits that will also play a significant role in their children's future development. This sort of knowledge transfer intervention is essential for the sustainability of society's health. Therefore, this trial's implications revealed that the intervention group's iodine status and growth could essentially be improved while the control group continued to experience negative effects. ClinicalTrials.gov Identifier: NCT048460 1.

Beyond the scenery: Understanding the impact of rural tourism development on household consumption in China

AbstractThe positive effects of rural tourism are widely recognized, yet its influence on local household consumption has been insufficiently explored. Our study fills this gap by investigating the relationship between rural tourism development and household consumption, using the Leisure Agriculture and Rural Tourism Demonstration County (LARTDC) policy as a quasi‐natural experiment framework. Employing a staggered difference‐in‐differences (DID) method, we found that rural tourism development contributes to a 4.91% increase in per capita household consumption. The robustness of our main results is confirmed using advanced techniques such as Bacon decomposition and DIDM estimations. We attributed this positive impact to the rise in nonfarm employment and infrastructure development. Our heterogeneity analysis further reveals the inclusive nature of rural tourism, showing its significant role in improving household consumption patterns, diminishing consumption inequality, and enhancing welfare, especially in disadvantaged rural households. Further analysis confirms that greater LARTDC policy exposure may lead to higher levels of household consumption. Moreover, we revealed that rural tourism increased the freedom of employment, especially for the elderly and women; however, it did not squeeze out leisure time or hurt the quality of life and welfare. Theoretically, this study contributes to the discourse on tourism's role in fostering economic growth and social equity, addressing the patterns of high savings and low consumption in rural China. Practically, our findings suggest that post‐COVID‐19 recovery strategies in developing countries may emphasize rural tourism development, aiming to stimulate household spending and achieve balanced growth.

Household carbon footprints of age groups in China and socioeconomic influencing factors

China has a large fastest-aging population, which would reshape household consumption patterns and influence global CO2 emissions. This study examines global CO2 emissions driven by household consumption (i.e., household carbon footprints, HCFs) of 34 age groups in China's 30 provinces and uncovers relevant socioeconomic influencing factors. Results show that China's population aging (i.e., the proportion of the elderly population) is conducive to global CO2 emission reduction during 2011–2014. This trend is mainly due to the relatively lower per capita HCFs of the elderly (1.7 t in 2014). In contrast, the per capita HCFs of the youth group are higher (3.3 t in 2014), mainly affected by the large expenditure on residence and transportation & communication. In addition, the HCFs of all age groups have increased during 2011–2014. Per capita expenditure is the most significant driver of this increase. The decline in CO2 emission intensity makes the largest contribution to reducing the HCFs of the youth group. For the aged group, expenditure structure change is the largest contributor to HCFs reduction. These findings reveal the differentiated impacts of China's household consumption by age on global CO2 emissions. This study lays the scientific foundation for deriving amelioration policies and achieving emission reduction targets in the process of population aging.

Analysis of Green Transformation and Driving Factors of Household Consumption Patterns in China from the Perspective of Carbon Emissions

Over the years, the household sector has become the main source of carbon emissions. Thus, it is crucial to study the green transformation of household consumption patterns (HCPs) and its driving factors from the perspective of carbon emissions (CEs). This study used the Tapio decoupling method to analyze the green transformation of HCPs, employed the logarithmic mean divisia index (LMDI) method to find the driving factors of green transformation of HCPs, and conducted marginal effect analysis to identify the marginal effects of the major driving factors of green transformation of HCPs, based on the China Family Panel Studies (CFPS) database from 2012 to 2018. It was found through statistical analysis that dominant types of direct HCPs included electricity and fuel, and dominant types of indirect HCPs included necessities, health, transportation, and education. The results of empirical analysis indicated that direct household consumption structure and the per capita residential area promoted the green transformation of HCPs, while direct household per square meter residential consumption and per capita net income inhibited it. Furthermore, other factors had varying positive or negative impacts on the green transformation of HCPs, depending on regions, income levels, and urban–rural areas. The results of marginal effect analysis suggested that the marginal effects of residential area on per capita household carbon emissions (HCEs) present a trend from increasing to decreasing, while the marginal effect of household income on per capita HCEs presents an increasing trend. However, the marginal effect of household size on per capita HCEs presents a decreasing trend only for the low-income group and the western region when household size increased from five to six persons. This paper enriches the research on the green transformation of HCPs, and provides references for the formulation of green transformation policies for HCPs in different regions, income levels, and urban–rural areas.

Food Demand Projection and Consumption Patterns of Urban Households in Nigeria’s Kano State

Changes in population and income are essential components for altering the pattern of food demand. In light of the importance of food demand analysis, this study set out to ascertain urban household consumption trends in Nigeria’s Kano State in order to forecast future demand levels for certain food items. This research contributes to becoming a basis for policymakers to increase food productivity. A household’s cross-sectional survey data elicited through a well-structured questionnaire complemented with an interview schedule from a total of 144 households chosen via a multi-stage sampling procedure was used for the study. The collected data were analyzed using both Linear Approximate/ Almost Ideal Demand System (LA/AIDS) and factor analysis models. Based on empirical evidence, households’ poor purchasing power is owed to high food inflation, which causes them to have low dietary diversity. Besides, the necessary and luxury goods, respectively, were rice, beans, spaghetti, and meat; and millet, yam, Irish potatoes, semovita, fish and groundnut. Meanwhile, maze, garri, and palm oil were established to be inferior commodities. Besides rice and semovita being everyday goods, they demand high price-sensitive commodities. Consequently, to maintain the status quo in the households’ welfare, the onus lies on policymakers to compensate consumers if there is a rise in the prices of local rice, indomie and groundnut oil. The study advises policymakers to increase the productivity of those food items projected to witness the steep-to-gentle rise in demand, and government should endeavour to adopt macro-economic policies with human-face so as to cushion/soften households’ economic hardship in the study area.

Analysis of household consumption function based on permanent income hypothesis in Sabah, Malaysia: A conceptual framework

In the past, Sabah has often been reported as Malaysia’s poorest state, with the recorded highest incidence of absolute poverty among all the other states. The consumption patterns of households in Sabah have been significantly impacted by such circumstances. This further draws light on the adverse impact on the broader economy, as low levels of spending may restrict demand for products and services, stifling economic growth. The understanding of households’ consumption functions based on the Permanent Income Hypothesis (PIH) will advance knowledge in identifying the key factors that influence the households’ spending decisions. Pointing out the scant number of past studies done within this very context, and focusing on the Sabah state in particular, further motivated this study, this paper aims to develop a conceptual framework that can estimate and examine the households’ consumption functions in Sabah. As such, the methodology of drawing upon narrative reviews from research in the past will be used in this paper to develop the conceptual framework. The result of this study built upon the framework developed will help in identifying the factors that explain the households’ consumption patterns, in particular, whether the function estimated will be consistent with the Permanent Income Hypothesis (PIH). It is hoped that the conceptual framework built will aid in providing valuable empirical insight for policymakers in designing effective policies that can uplift households that are living in poverty.

Changing patterns of household water consumption and conservation behaviour in Bangladesh: an exploration in the context of COVID-19 pandemic

Changing patterns of household water consumption and conservation behaviour in Bangladesh: an exploration in the context of COVID-19 pandemic

Changing patterns of household water consumption and conservation behaviour in Bangladesh: an exploration in the context of COVID-19 pandemic

Changing patterns of household water consumption and conservation behaviour in Bangladesh: an exploration in the context of COVID-19 pandemic

A Study on Consumption Pattern of Household in Vallanadu, Thoothukudi District of Tamilnadu, India

The study focussed on the consumption pattern of rural households to analyse household consumption expenditure on both food and non food items. The present study used the primary data collected from rural households in Vallanadu village of Thoothukudi district in Tamilnadu using the questionnaire. In demographic details,we have observed that the average family size of the household is 4.The village has almost equal population of male and female.Then the village has comparatively higher male adult than the female adult , higher male children than the female children. In profession the most of the village people has only primary income for their survival and only few people has secondary income in additional to primary income. In land holding pattern, the village has the highest wetland area for farming and food source.In cropping pattern, the major crop grown in vallanadu is paddy. In household assets, TV & Bike are the most available household assets. In Household consumption expenditure,the consumption of the cereals is comparatively higher than the pulses. In non-food expenditures, most of their income is spend for the education purpose.percapita consumption as highest for cereals with 400g and 177g per day of vegetables.

ANALYSIS OF THE PATTERNS AND DETERMINANTS OF HOUSEHOLDS’ COOKING ENERGY DEMAND IN YOBE STATE, NIGERIA

The paper investigates household cooking energy consumption pattern in Yobe State, Nigeria utilizing secondary data sourced from Nigeria’s COVID-19 national longtitudinal phone survey (NLPS, 2020). Descriptive statistics and ordinarily least squares estimation technique were employed in the analysis of the data. The findings indicate that about 66.7% of the households in Yobe are multiple fuel users. Additionally, among the specific fuel users about half (50%) of the users relied on fuelwood for their household needs. With regards to the determinants of energy sources, income, household size and age were found to be positive and statistically significance at 1% for all the energy sources. The influence of income was the most substantial for charcoal. Household size has the most influence on fuelwood. Similarly, Older households seem to consume more of all fuels. The results for area of residence was only positive and and statistically significance at 1% for kerosene demand while Gender does not significantly affect any fuel type demand. The study concludes that socio-economic factors influence cooking energy demand in Yobe State.Hence, recommends that various stakeholders should support economic empowerment, energy education and promote outreach for specific demographics.

Consumption Over Life Cycle Of Remittances Recipients In Indonesia

Purpose of this study is to examine and analyze the consumption patterns of remittance recipient households using the Life Cycle Hypothesis (LCH) model. Using data from three periods of the IFLS (IFLS 2000, IFLS 2007 and IFLS 2014) and the decomposition of cohort and age effects on consumption, the results show that consumption behavior is not as described as in the LCH theory. The curve of average consumption-age in this remittance recipient household has a "hump shape" pattern.

A Study on Income and Expenditure Pattern of Fishermen During Fishing Holiday Period in Kakinada Harbour, Andhra Pradesh

India is the second leading fish producing country in the world accounting for 7.56 per cent of global production. Fisheries sector plays an important role in the Indian economy through contributing national income, employment creation; promote exports, provides food and nutritional security. Andhra Pradesh has favorable agro-climatic conditions for the growth of fisheries and aquaculture sector. The State is contributing about 29.7% of national fish production and is a major exporter of shrimp in India with share of 40.4% in total value of sea food exports of the country during 2019-20. The sector is providing employment to nearly 26.5 lakhs. Andhra Pradesh has 26 coastal districts. The present study analyzing the socio-economic status of fishermen and various problems encountered by the fishermen during fishing holiday period in the study area. To analyze the income and expenditure pattern and asset structure of fisher households. This study is confined to Kakinada Harbour Area. A major proportion of the sample respondents were joined in fishing due to poverty i.e. 45 per cent, a higher proportion of the respondents (67%) are living in nuclear family, Major proportion of respondents had 11-20 years of fishing experience (42%), followed by 21-30 years (24%), 1-10 years (17%) and more than 30 years (16%), 97 per cent of respondents are living in the pucca and semi-pucca houses

Addressing unproductive credit consumption and beneficiary malpractices in social welfare programs for slum-dwellers: A study from India

This study examines the credit consumption pattern of slum-dweller households under different social welfare schemes and its impact on credit escalation and cross-financing. Using a multistage sampling approach, data were collected from 585 respondents in Punjab's most congested cities with municipal corporations. Exploratory factor analysis was applied to reduce dimensions, and confirmatory factor analysis (CFA) was performed to test validity and reliability. Structural equation modeling (SEM) was used to test hypotheses. The findings reveal that unproductive loan consumption by low-income families through social welfare programs is associated with beneficiary malpractices. The assessment models developed in this study can assist the Indian government and policymakers in improving the execution and implementation of social welfare programs aimed at poverty reduction and policy formulation. This study contributes to efforts towards financial inclusion and addresses a critical topic in the context of the current governmental attention on urban low-income families. It fills a research gap on the impact of unproductive credit usage patterns on beneficiary malpractices and provides insights into the role of social welfare schemes' norms in credit consumption patterns among low-income households in urban slums. The findings have implications for policy development, program implementation, and poverty reduction strategies, highlighting the need for effective monitoring and regulation of credit utilization in social welfare programs for vulnerable populations.

Exploring the Impact of Household Spending Patterns on Education Outcomes among Residents in Malappuram District, Kerala, India

This study investigates the relationships between household expenditure patterns and education status, based on 386 households in Malappuram district between December 2021 and September 2022. Malappuram district, located in the southern Indian state of Kerala, is known for its distinctive features that encompass cultural, historical, and demographic aspects. Employing statistical tools such as Correlation, multiple regression, ANOVA, and chi-square, the research scrutinizes and quantifies these relationships. Notable findings underscore the prioritization of food and education in household budgets, emphasizing their pivotal role. The strong connection between education level and marital status unveils the interdependence of these decisions, reflecting societal norms. Financial implications of educational achievement shed light on how education acts as a mitigator of economic inequality by exposing income disparities. The correlation between total expenditure and education is positive, indicating that household spending plays a crucial role in achieving educational goals. The impact of food and medical expenses in affecting educational status is further highlighted by the regression analysis. When taken as a whole, these results add to a more sophisticated picture of the relationship between spending patterns and academic achievement. In the particular context of the Malappuram district, this knowledge provides insightful information for policymakers and programmes aiming to improve economic prosperity and educational accomplishment at the same time.