Household Expenditure Survey Research Articles

Determinants of health seeking behaviours for malaria treatment in Cameroon

Background: Household health-seeking behaviour for malaria treatment is an important policy concern in malaria-endemic African countries. This paper aims to shed light on the determinants of household’s health-seeking behaviour for malaria treatment in Cameroon.Methods: The cross-sectional study used secondary data from the fourth Cameroonian household consumption survey conducted by the National Institute of Statistics. A stratified, 2-stage sampling was implemented with a sample of 918 households which sought malaria treatment from different alternatives providers. The multinomial probit model was used to estimate the probability based on socio-demographic and economics determinants for a household to choose between different types of providers of malaria treatment.Results: The findings of this study indicate that, the alternative providers for malaria treatment were: public health facilities (61.1%), private health facilities (8.5%), traditional healers (1.4%), pharmacies (4.6%), informal vendor (18%), other types of recourse (6.4%). The decision to choose the provider for malaria treatment depends on factors such as household head, region, level of education, religion, area of residence, socio-professional category, and gender. The level of education appears to be an important determinant of a household’s seeking behaviour. Those with higher education are more likely to seek care at formal health facilities.Conclusions: Health policy-makers need to strive to improve the socio-demographic and economic conditions and sensitize households on the appropriate alternative ways to ensure the universal access to diagnosis and effective treatment of malaria in line with the global strategies recommended by WHO to achieve malaria elimination by 2030.

A comparative analysis of sustainability of the usual food intakes of the Iranian population, Iranian food-based dietary guidelines, and optimized dietary models

Promoting sustainable diets might contribute toward achieving sustainable development goals. Considering the importance of national food-based dietary guidelines (FBDGs), this study aimed to assess and compare the sustainability dimensions of the usual Iranian dietary intakes with sustainable optimal diets based on Iranian (2006 and 2015 versions), Mediterranean, and vegetarian FBDGs. The usual dietary intakes of Iranian households were estimated using household expenditure survey data. Diet sustainability, including environmental (water, carbon, and land) footprints, cost, and nutrient-rich food (NRF) index, was calculated for the usual diet and compared with those of different FBDGs. Using linear and goal programming, optimal food models were calculated by minimizing environmental footprints and cost and maximizing NRF simultaneously for each FBDG, while maintaining nutritional considerations recommended by the FBDGs. Replacing the usual dietary intake of Iranians with the optimal diet based on the 2016 Iranian FBDG was associated with reductions equal to 20.9% for water footprint, 22.48% for carbon footprint, 20.39% for land footprint, 31.83% for cost, and 7.64% increase in NRF index. The optimal model based on the 2016 Iran FBDG was 10% more sustainable compared with the 2005 version. Changing the usual consumption of Iranians to the optimal model based on the Mediterranean pyramid was accompanied by the highest NRF index, lower environmental footprints, and cost compared to other models. The recent Iranian FBDG, compared with the older one, was more sustainable. Considering the dimensions of a sustainable diet for future FBDG revisions is recommended.

The burden of chronic diseases and patients' preference for healthcare services among adult patients suffering from chronic diseases in Bangladesh.

Low- and middle-income countries (LMICs) have a disproportionately high burden of chronic diseases, with inequalities in health care access and quality services. This study aimed to assess patients' preferences for healthcare services for chronic disease management among adult patients in Bangladesh. The present analysis was conducted among 10,385 patients suffering from chronic diseases, drawn from the latest Household Income and Expenditure Survey 2016-2017. We used the multinomial logistic regression to investigate the association of chronic comorbid conditions and healthcare service-related factors with patients' preferences for healthcare services. The top four dimensions of patient preference for healthcare services in order of magnitude were quality of treatment (30.3%), short distance to health facility (27.6%), affordability of health care (21.7%)and availability of doctors (11.0%). Patients with heart disease had a 29% significantly lower preference for healthcare affordability than the quality of healthcare services (relative risk ratio[RRR] = 0.71; 0.56-0.90). Patients who received healthcare services from pharmacies or dispensaries were more likely to prefer a short distance to a health facility (RRR = 6.99; 4.80-9.86) or affordability of healthcare services (RRR = 3.13; 2.25-4.36). Patients with comorbid conditions were more likely to prefer healthcare affordability (RRR = 1.39; 1.15-1.68). In addition, patients who received health care from a public facility had 2.93 times higher preference for the availability of medical doctors (RRR = 2.93; 1.70-5.04) than the quality of treatment in the health facility, when compared with private service providers. Patient preferences for healthcare services in chronic disease management were significantly associated with the type of disease and its magnitude and characteristics of healthcare providers. Therefore, to enhance service provision and equitable distribution and uptake of health services, policymakers and public health practitioners should consider patient preferences in designing national strategic frameworks for chronic disease management. Our research team includes four researchers (co-authors) with chronic diseases who have experience of living or working with people suffering from chronic conditions or diseases.

Why do the educated poor pay less price per calorie? Evidence from household-level calorie consumption data

PurposeWhile the monetary returns to education are well documented in the economics literature, the studies on non-monetary returns to education are scarce. The purpose of this study is to provide new insights into the non-market outcomes by exploring how education influences the food consumption choices of households and how these effects vary across different socio-economic groups using household-level calorie consumption data from Sri Lanka.Design/methodology/approachThis study uses two waves of Household Income and Expenditure Surveys – 2006/2007 and 2016. The methods adopted in analysing the data were descriptive statistics and the OLS regression model.FindingsThe empirical results show that educated poor households pay less per calorie compared to non-educated poor households, highlighting the role of education in improving the ability to make better food choices and manage household budgets more economically.Practical implicationsThis study informs policy-makers of the importance of education for formulating food and nutritional policies, which aim to raise the standard of living of resource-poor and vulnerable households in Sri Lanka as well as other developing countries with similar socio-economic conditions.Originality/valueTo the best of the authors' knowledge, this study is the first to explore the impact of education on the calorie consumption behaviour of people in the Sri Lankan context using nationwide household surveys.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2022-0007

The Association between Fruit and Vegetable Intake and Socioeconomic Factors in the Households of Pakistan Using Quantile Regression Model

ABSTRACT The purpose of this study was to examine the impact of socioeconomic factors on fruit and vegetable consumption in the households of Pakistan. Secondary data were used from a national-level survey, i.e. “Household Integrated Income and Consumption Survey” (HIICS) 2015–2016 published by the Pakistan Bureau of Statistics. A total of 11,187 households were included in the final analysis. Quantile regression models were applied to investigate the association between socioeconomic factors and the consumption of fruit and vegetable. More than half of the households in the sample did not meet the World Health Organization’s (WHO) recommended criteria for fruit and vegetable consumption, which is 400 g/day/capita. According to the quantile regression model, household income is an important factor in increasing fruit and vegetable intake because an increase in income leads to a greater likelihood of spending on healthy and nutritious foods. The increased consumption of fruit and vegetable was caused by the household head’s high education, which created multiple resources to increase income. Households in two provinces, i.e. Khyber Pakhtunkhwa and Baluchistan, have a greater impact on fruit and vegetable consumption than other provinces due to natural resource availability. Household size and dependency ratio hurt the consumption of fruit and vegetable because women and children are not able to do work. These results are very useful because a better understanding of the socioeconomic characteristics associated with fruit and vegetable intake could improve the effectiveness of policies aimed at increasing fruit and vegetable consumption and reducing the risk of chronic diseases.

Using Household Consumption Data to Flag Low Nutrient Access.

Information on food consumption, dietary diversity, and nutrient inadequacies are key for informing food security and nutrition programming. Household- and individual-level data together provide the most complete information, but individual dietary modules are not always feasible in humanitarian contexts due to cost and time constraints. This article asks to what extent it is possible to use food consumption data which is commonly collected at household level through food security and vulnerability surveys, to assess the household's access to vitamin A and iron. The validation analysis uses household food consumption and expenditure surveys from Guatemala, Honduras, Nepal, and Uganda and the adult male equivalent approach for calculating nutrient access. The results show a positive significant correlation between the frequency of consumption and adequacy as estimated from comprehensive household food consumption modules, with correlation in the range of 0.4 to 0.7. Frequency thresholds for distinguishing between adequate and inadequate nutrient access, based on how often foods rich in the relevant nutrient are eaten during 1 week, mostly fulfill standard sensitivity and specificity criteria. The article concludes that in humanitarian contexts, a frequency-based proxy for nutrient access based on household data commonly collected in emergency assessments and through monitoring systems can be used and can support this particular data gap. As a rule of thumb, a frequency threshold of 7 should be used for vitamin A and of 12 for iron.

Financial risk protection against noncommunicable diseases: trends and patterns in Bangladesh

BackgroundDemographic and epidemiological transitions are changing the disease burden from infectious to noncommunicable diseases (NCDs) in low- and middle-income countries, including Bangladesh. Given the rising NCD-related health burdens and growing share of household out-of-pocket (OOP) spending in total health expenditure in Bangladesh, we compared the country’s trends and socioeconomic disparities in financial risk protection (FRP) among households with and without NCDs.MethodsWe used data from three recent waves of the Bangladesh Household Income and Expenditure Survey (2005, 2010, and 2016) and employed the normative food, housing (rent), and utilities method to measure the levels and distributions of catastrophic health expenditure (CHE) and impoverishing effects of OOP health expenditure among households without NCDs (i.e. non-NCDs only) and with NCDs (i.e. NCDs only, and both NCDs and non-NCDs). Additionally, we examined the incidence of forgone care for financial reasons at the household and individual levels.ResultsBetween 2005 and 2016, OOP expenses increased by more than 50% across all households (NCD-only: USD 95.6 to 149.3; NCD-and-non-NCD: USD 89.5 to 167.7; non-NCD-only: USD 45.3 to 73.0), with NCD-affected families consistently spending over double that of non-affected households. Concurrently, CHE incidence grew among NCD-only families (13.5% to 14.4%) while declining (with fluctuations) among non-NCD-only (14.4% to 11.6%) and NCD-and-non-NCD households (12.9% to 12.2%). Additionally, OOP-induced impoverishment increased among NCD-only and non-NCD-only households from 1.4 to 2.0% and 1.1 to 1.5%, respectively, affecting the former more. Also, despite falling over time, NCD-affected individuals more frequently mentioned prohibiting treatment costs as the reason for forgoing care than the non-affected (37.9% vs. 13.0% in 2016). The lowest quintile households, particularly those with NCDs, consistently experienced many-fold higher CHE and impoverishment than the highest quintile. Notably, CHE and impoverishment effects were more pronounced among NCD-affected families if NCD-afflicted household members were female rather than male, older people, or children instead of working-age adults.ConclusionsThe lack of FRP is more pronounced among households with NCDs than those without NCDs. Concerted efforts are required to ensure FRP for all families, particularly those with NCDs.

Do Education and Employment Play a Role in Youth’s Poverty Alleviation? Evidence from Morocco

In Morocco, youth represent a large segment of society, but there are multiple structural constraints, such as unemployment, particularly among graduates, which exposes them to a great risk of poverty. Using data from the Household Consumption and Expenditure National Survey 2014, this article explores the determinants of youth poverty, focusing on the role of education and employment. Two indicators of poverty are used. The first one is a binary short-term indicator showing whether the young in a given household are poor or not at the threshold of 60% of the median annual expenditure. The second is a poverty measure of the long-term economic status or what is called the Wealth Index, computed using the Principal Component Analysis method. The results from both the logit and the quantile regressions show that being more educated constitutes a rampart against poverty for young people. By contrast, access to employment is not enough to guarantee a decent level of well-being. Moreover, there are no gender differences, but poverty seems higher among rural young and those between 15 and 19 years old compared to those who reside in the urban areas and who are between 20 and 29 years old, respectively. Youth poverty is also significantly associated with family/household characteristics such as education and employment of the other members and household size.

Out-of-pocket expenditure on medicines in Bangladesh: An analysis of the national household income and expenditure survey 2016-17.

High out-of-pocket expenditures (OOPE) increases the probability that households will become impoverished or will forgo needed care. The aim of this paper is to study household medicines expenditure and its associated determining factors to develop policies to protect households from financial hardship. The present cross-sectional and population-level study used the Bangladesh 2016-17 National Household Income and Expenditure Survey (HIES). The final sample size was 46,080 households. We analyzed the probability of OOPE for medicines, the share of total OOPE due to medicines out of total OOPE in health (reported as a ratio between zero and one), the OOPE amount for medicines reported (in United States Dollars), and the share of OOPE amount on medicines out of total household expenditure (reported as a ratio between zero and one). Predictors of analyzed outcomes were identified using three regression models. Out of those households who spent on healthcare, the probability of having any OOPE on medicines was 87.9%. Of those who spent on medicines, the median monthly expenditure was US$3.03. The poorest households spent 9.97% of their total household expenditure as OOPE on medicines, nearly double that of the wealthiest households (5.86%). The characteristic which showed the most significant correlation to a high OOPE on medicines was the presence of chronic diseases, especially cancer. Twenty six percent of all surveyed households spend more than 10% of their OOPE on medicines. Our study shows that financial protection should be targeted at the poorest quintiles and such protection should include enrollment of rural households. Further, outpatient medicines benefits should include those for non-communicable diseases (NCDs).

Consumption Expenditure on Processed Meat and Its Correlates: An Ethnic Comparison

Background: The objective of the present study is to investigate the influences of sociodemographic and household factors on consumption expenditure on processed meat among households in Malaysia.Methods: Data were extracted from the Malaysian Household Expenditure Survey (HES) 2016. Lognormal hurdle models were utilized to assess the likelihood of consuming processed meat and the amount consumed. The independent variables consisted of household heads’ age, educational level, gender, marital status, employment status, ethnicity, as well as household income, household region and household locality.Results: Bumiputera households with younger heads were more likely to consume processed meat and spent more than households with older heads. Chinese and Indian households in a higher income group had a higher likelihood of consuming and spending on processed meat than those in a lower income group. The probability of consuming processed meat and the amount consumed were positively associated with being from East Malaysia and urban areas.Conclusions: There are distinguished roles of sociodemographic and household factors across ethnic groups in consumption expenditure on processed meat. Policy makers should take account of age, income, education, household region and household locality factors when formulating intervention measures.

Household and non-household factors influencing multidimensional energy poverty in Bangladesh: Demographics, urbanization and regional differentiation via a multilevel modeling approach

This study offers the first national investigation quantifying the socioeconomic factors affecting household multidimensional energy poverty, a comparatively new challenge facing policymakers in Bangladesh. Using two rounds of the latest household income and expenditure survey as well as population and housing censuses, we employ a multilevel logistic regression modeling approach that incorporates regional-level variables in addition to the traditional focus on a set of household characteristics. The conclusion is robust to a linear probability model and a suite of other sensitivity checks. The results suggest that household characteristics, such as income, age, married household head, living space area, household literacy rate, primary and secondary school completion of the household head, and living in an urban area reduce the likelihood of household multidimensional energy poverty, whereas male-headed household enhances such likelihood. Moreover, regional characteristics like border district, distance from divisional headquarters, and social safety net ratio increase the chance of household multidimensional energy poverty, whereas urbanization rate has the opposite effect. Hence, this research calls for designing suitable policies, such as direct financing for clean cooking equipment under a particular scheme or providing cooking fuels at a concessional price to marginalized groups to address critical issues, including energy deprivation and energy inequality, that arise as a consequence of multidimensional energy poverty.

Remittances and multidimensional energy poverty: Evidence from a household survey in Bangladesh

This paper explores the impact of remittances on multidimensional energy poverty in Bangladesh by employing a nationally representative Household Income and Expenditure Survey (HIES)-2016 with a sample size of 46,080 households. Remittance is one of the sources of household income that can be utilized for energy services. Energy poverty is generally described and quantified at the household level, exposing potential household characteristics in terms of energy costs and benefits and access to energy services. Controlling for the relevant characteristics of investigated households, mixed-effect linear regression, two-stage least square, and generalized ordered logistic regression reveal that households with remittance income have a significantly lower level of multidimensional energy poverty in Bangladesh. The outcomes of this work advocate that an upsurge in remittance inflow engenders a strong contribution toward alleviating energy poverty in Bangladesh and likely in other developing nations. National programs should be established for devising policies to promote migrant workers, lowering energy costs at the household level, and investing remittance income into modern energy technologies to ensure and enhance access to clean energy sources.

A study on time series linkage in the Household Income and Expenditure Survey

A study on time series linkage in the Household Income and Expenditure Survey

Using Household Expenditure Surveys for Comparable and Replicable Nutritional Analysis: Evidence from México.

In this study, we explore how to use household expenditures and income surveys (HEIS) to provide replicable and comparable measures of nutrients availability at the population level. Our method formalizes the common practice in the literature and consists of three steps: identification of relevant food categories, pairing of food contents food groups in HEIS data, and calculation of the typical amount of nutrients by food group. We illustrate the usage of the method with Mexican data and provide a publicly available data set to readily convert food purchases into six nutrients: calories, proteins, vitamins A and C, iron, and zinc. We perform a descriptive analysis of the evolution of nutrients intake among Mexican households between 2008 and 2020, considering differences by income level. Our results reflect the effect of the COVID-19 pandemic on nutrient availability in Mexican households, mainly driven by a substantial reduction in the expenditure in food consumed away from home, although for most nutrients the trend was stable over most of the period.

Measuring Progress toward Universal Health Coverage in Iran: Two Years after the Implementation of the Health Transformation Plan

Introduction: One of the most important 2015-post agendas of countries’ health systems is achieving Universal Health Coverage (UHC), so countries should monitor the activities carried out. The present study aimed to investigate the UHC status two years after Health Transformation Plan (HTP) in Iran.
 Methods: This is a secondary analysis of the national household income and expenditure survey (with close 40,000 households as the survey sample). The survey was used to estimate financial protection indicators (out-of-pocket payment, catastrophic and impoverishment health expenditure) in 2016. Estimation for service coverage index provided by international databases was applied at the country level. Indicators of financial protection and service coverage were evaluated in relation to each other using the World Health Organization joint levels assessment method, which indicates UHC attainment in terms of a plot with four zones. The relationship was estimated for the entire population, first quintile, and fifth quintile in 2000, 2017, and 2030.
 Results: The average per capita of OOP annually was 1,940,613 Rials (162.415 PPP int $). About 15.85% of households endured catastrophic health expenditures at the 10% threshold. The impoverishment health expenditure is about 0.6. Accordingly, Iran is on the border between zones 1 and 2 in 2017 in terms of achieving UHC and will move to zone 1 in 2030 with the current trend.
 Conclusion: According to the results of this study, universal health coverage has not been achieved even despite the implementation of the HTP. Even with improved service coverage, achieving UHC by 2030 may seem impossible with the current trends.

Linking Internal Migration, Flow of Remittances and Household Wellbeing

Labor migration is usually considered as economically benefiting the household family members who are left behind through remittances. The extent of migration and remittances have shown significant growth however the empirical evidence on the casual impact of migration on economic status and wellbeing of those who are left behind is not well documented at the regional level in Pakistan. The study aimed to assess the impact of regional remittance flow on household economic status and wellbeing by using propensity score matching (PSM) technique. The first approach is to develop Multidimensional Poverty Index and second to show how pattern of inter and intra-provincial and regional remittances flow decreases the probability of poverty and affects the household wellbeing. For the analysis, the study utilized the nationally representative Pakistan Household Income and Expenditure Survey (HIES) 2013–2014. The results of the analysis lead to the conclusion that internal labor mobility occurs because of poverty, instead of benefitting the households who are left behind further had dragged them into risk of poverty. The poor individuals moving to urban or other areas in search of job opportunities had not been able to support themselves in new areas but also had failed to support their family back at home.

Disease-specific distress healthcare financing and catastrophic out-of-pocket expenditure for hospitalization in Bangladesh

BackgroundFinancial risk protection and equity are two fundamental components of the global commitment to achieve Universal Health Coverage (UHC), which mandates health system reform based on population needs, disease incidence, and economic burden to ensure that everyone has access to health services without any financial hardship. We estimated disease-specific incidences of catastrophic out-of-pocket health expenditure and distress financing to investigate progress toward UHC financial risk indicators and investigated inequalities in financial risk protection indicators by wealth quintiles. In addition, we explored the determinants of financial hardship indicators as a result of hospitalization costs.MethodsIn order to conduct this research, data were extracted from the latest Bangladesh Household Income and Expenditure Survey (HIES), conducted by the Bangladesh Bureau of Statistics in 2016–2017. Financial hardship indicators in UHC were measured by catastrophic health expenditure and distress financing (sale/mortgage, borrowing, and family support). Concentration curves (CC) and indices (CI) were estimated to measure the pattern and severity of inequalities across socio-economic classes. Binary logistic regression models were used to assess the determinants of catastrophic health expenditure and distress financing.ResultsWe found that about 26% of households incurred catastrophic health expenditure (CHE) and 58% faced distress financing on hospitalization in Bangladesh. The highest incidence of CHE was for cancer (50%), followed by liver diseases (49.2%), and paralysis (43.6%). The financial hardship indicators in terms of CHE (CI = -0.109) and distress financing (CI = -0.087) were more concentrated among low-income households. Hospital admission to private health facilities, non-communicable diseases, and the presence of chronic patients in households significantly increases the likelihood of higher UHC financial hardship indicators.ConclusionsThe study findings strongly suggest the need for national-level social health security schemes with a particular focus on low-income households, since we identified greater inequalities between low- and high-income households in UHC financial hardship indicators. Regulating the private sector and implementing subsidized healthcare programmes for diseases with high treatment costs, such as cancer, heart disease, liver disease, and kidney disease are also expected to be effective to protect households from financial hardship. Finally, in order to reduce reliance on OOPE, the government should consider increasing its allocations to the health sector.

Bivariate Generalized Half-Logistic Distribution: Properties and Its Application in Household Financial Affordability in KSA

The generalized half-logistic distribution is ideal to fit the lifetime of some products, such as ball bearings and electrical insulation. In this paper, we aim to extend this scope by creating a motivated bivariate version. We thus introduce the bivariate generalized half-logistic distribution using the Farlie Gumbel Morgenstern (FGM) copula, which is called the FGM bivariate generalized half-logistic distribution (FGMBGHLD for short). In particular, the FGMBGHLD finds application in describing bivariate lifetime datasets that have weak correlations between variables. Some statistical properties and functions of our new distribution, such as the product moments, moment generating function, reliability function, and hazard rate function, are derived. We discuss the maximum likelihood estimation method of the FGMBGHLD parameters. As an application of the FGMBGHLD in reliability, we consider the stress–strength model when the stress and strength random variables are dependent. We also derive the point and interval estimates of the stress–strength coefficient. Finally, we use the data from the household income and expenditure survey of KSA 2018 for Saudi households by administrative region to demonstrate the practicability of the proposed model. A comparison with a modern bivariate Weibull distribution is performed.

Estimation of Sodium Availability and Food Sources from 2018 to 2019 and Its Trends during the 2004-2019 Period in Costa Rica.

Sodium availability and food sources in 2018–2019 were estimated and trends analyzed for 15 years (2004–2019) in Costa Rica. Food purchase records from the National Household Income and Expenditure Survey (ENIGH) 2018–2019 were converted to energy and sodium using food composition tables measuring “apparent consumption”. Foods were classified by sodium content. ENIGH is a probabilistic, stratified, two-stage and replicated national survey, carried out regularly by the national statistics institution. Results from the 2004–2005 and 2012–2013 ENIGHs came from previous analysis. Differences between periods were determined through descriptive and inferential statistics. The available sodium adjusted to 2000 kcal/person/day was 3.40, 3.86, and 3.84 g/person/day (g/p/d) for periods 2004–2005, 2013–2014, and 2018–2019, respectively. In this last period, this was 3.94 urban and 3.60 g/p/d rural (p < 0.05), with a non-linear increase with income. During 2004–2019 sodium from salt and salt-based condiments increased from 69.5 to 75.5%; the contribution of common salt increased, from 60.2 to 64.8% and condiments without added salt from 9.3 to 10.7%. From 2012–2013 to 2018–2019, processed and ultra-processed foods with added sodium intake increased from 14.2 to 16.9% and decreased in prepared meals (7.2 to 2.8%). Costa Rica has been successful in reducing salt/sodium available for consumption; after a 12% increase of salt consumption between 2004–2005 and 2012–2013, to a level almost twice as high as recommended, it has stabilized in the last period.

Response of China's electricity consumption to climate change using monthly household data.

Intensifying climate change significantly impacts residential electricity consumption, especially in developing countries, such as China, that are experiencing rapid income growth. By combining meteorological and monthly household consumption survey data, this study explores the response function of residential electricity consumption to temperature in China from a micro perspective. Future residential electricity demands and related CO2 emissions are then forecast under different climate scenarios. Overall, the response function is U-shaped, and one additional day above 34 °C will increase monthly residential electricity consumption by 2.11%. Global warming will more likely increase the electricity burden on low-income groups. There will be notable seasonal changes in electricity demand in the future, and the largest increase will occur in August. The total demand for residential electricity caused by temperature change will show a fluctuating growth trend, from 0.8% and 1% in 2025 to 2% and 2.9% in 2060 under the RCP4.5 scenario and RCP8.5 scenario, respectively; meanwhile, this demand will be accompanied by a cumulative increase in carbon dioxide emissions.