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In Covid-19 pandemic era when most households' members have lost their jobs and incomes, the government assistance and programs in ensuring household consumption smoothing is very significant. The main objectives of this study are to analyze the impact of government expenditure and free maternal healthcare (FMHC) policy on household consumption expenditure in Ghana in both long run and short run.

They used the ARDL to estimate the impact of government expenditure on household consumption and Segmented Linear Regression to examine impact of FMHC policy household consumption using longitudinal data from 1967 to 2018.

The results revealed that government expenditure had a negative and statistically significant effect on household consumption expenditure suggesting that government expenditure crowed-out private consumption in Ghana. Also, it was observed that before the implementation of the FMHC policy, there was an increase household consumption expenditure, but after the introduction of the FMHC policy, the study household consumption expenditure decreases significantly suggesting that FMHC policy has strong association with household consumption in Ghana.

Due to limited data availability, this study did not assess the impact of the FMHC policy at the household or district level. Also, Ghana has introduced a free senior high school education policy in 2017 so further research could analyze the implications of these policies for household consumption in Ghana at the micro-level using different estimation technique such as the difference in difference.

The study suggests the need to increase public spending on basic social amenities and also extend the free maternal healthcare policy to all pregnant women especially those in the rural areas of Ghana as these have a greater impact on household consumption in Ghana. The findings from this study have important implications for household savings and interest rate in Ghana. The findings from this study also have important implications for both fiscal policy and healthcare policy in Ghana and other developing countries.

To the best of my knowledge this is the first empirical study to examine the effect of government expenditure and free maternal healthcare policy on household consumption in Ghana.

This study investigates implications of crop and income diversifications on consumption expenditure (welfare) of rice-producing households in Ghana. It further compares diversification by three rice production systems: two-season rain-fed, two-season irrigated and one-season rain-fed rice production.

Primary data were sourced from 225 rice farmers. Margalef index and three-stage least-squares were employed.

Majority of rice-farming households in Ghana diversify livelihoods. The extent of livelihood diversification differs among two-season rain-fed, two-season irrigated and one-season rain-fed rice-producing households. Credit, distance to district capitals, production purpose and number of farming seasons influence crop and income diversifications, and consumption expenditure of rice-producing households. While crop diversification reduces consumption expenditure, income diversification increases it. Crop and income diversifications positively influence each other. Consumption expenditure reduces crop diversification but increases income diversification.

Policy should be directed towards the promotion of more livelihood activities to boost rice farmers' welfare. There should be awareness creation and training programmes to enable rice farmers realize different economic activities within and outside the agricultural value chain.

Crop and income diversifications were measured as continuous response variables, unlike previous studies that used a binary response variable. The authors established a synergy among crop and income diversifications, and consumption expenditure (welfare). The authors further compared crop and income diversifications by three rice production systems: two-season rain-fed, two-season irrigated and one-season rain-fed rice production systems.

This paper focusses on how the educated and less-educated middle class react differently to income increases, against an intertwined literature backdrop of Engel's law, quality of life, aspirational and conspicuous consumption. The paper seeks to answer two main questions: Is there evidence of the middle class, particularly the educated, trying to emulate the upper class by shifting towards aspirational consumption? Is there any distinct expenditure behaviour amongst the middle class?

Combining the Malaysian 2016 Household Expenditure Survey (HES) and the 2016 Consumer Price Indices datasets, quantile estimations are applied on the merged dataset of 14,326 households.

There is evidence of the educated middle class emulating the upper class in terms of food share, home furnishing and starchy produce expenditure behaviour. The less-educated middle class exhibits a predilection for home furnishing expenditures when income increases, whilst the educated shows signs of dissociating themselves from such material acquisitions. The paper concludes that the middle class is collectively an aspirational class, but with diverging paths towards upward social mobility between the educated and less-educated households.

Aspirational consumption of the middle class has not been given detailed empirical treatment at the household micro-level in the literature, especially for upper-middle income countries like Malaysia. The paper starts off by detecting an anomaly in the Engel's food share coefficients, where the middle class sees unexpected larger declines in food share than those of the upper class. This is the paper's departure point from the literature.

Enhancing household consumption and reducing inequality are among the fundamental goals of many developing countries. The purpose of this study therefore is to disaggregate household consumption expenditure into food and non-food and, thus, decompose inequality into within- and between-groups.

The study adopts generalised entropy (GE) measures. Second, the study uses regression-based inequality decomposition to ascertain the determinants of inequality in food and non-food expenditure using household demographic and socioeconomic characteristics as covariates.

The results show that non-food expenditure is the major source of inequality in household consumption expenditure in both urban and rural areas with inequality coefficients of above 0.6 compared to about 0.4 for food expenditure. The decompositions also show that within-group inequalities for non-food and food expenditure are, respectively, 0.97 and 0.365 using the Theil index, while between-group inequalities for non-food and food are, respectively, 0.016 and 0.035. Furthermore, the regression-based inequality decompositions show that variables such as living in rural areas, household size, household dwelling and household dwelling characteristics account for the significant proportion of inequality in food and non-food expenditure.

The policy implication of the findings, among others, is that policies should focus on addressing inequality within rural and urban areas, especially with respect to non-food expenditure than in inequality existing between urban and rural areas. These non-food expenditures include expenditure in education, health, energy, accommodation, water and sanitation.

The purpose of this study was to see the impact of increased out-of-pocket expenditure oh health care exerting budget pressure on households, which leads to change in dietary consumption.

It was a hospital-based cross-sectional study comprising 414 patients with a chronic or major illness attending a large tertiary care public hospital at Delhi, India. Each patient represented a household with total number of family members of 2,550 in the study. Questionnaire was used to gather data on factors responsible for changes in consumption of 12 major food items.

Moderate decrease in food consumption of a household after major illness is associated with: rural residence (p < 0.001), decrease in savings (p < 0.001), more number of household items sold (p < 0.001), education of the children affected (p < 0.001), upper socio-economic status (SES) (p < 0.001) and children started working after illness in family (p = 0.043). In addition to decrease in food items, there was also deterioration in quality of food preparation. More than 80% of the families did not change the intake of cereals (rice and wheat), pulses and sugar. Food items that were decreased by most families were fruits, followed by milk and its products, vegetables, meat and egg, oils and ghee.

This study is a subset of other two studies previously published. The authors had not been able to cover this aspect fully in those two studies but understood the importance of impact of expenditure on illness on food consumption. The authors studied change in food consumption pattern (not amount) in subjects after illness. The impact of weather changes in food consumption on the impacted nutritional status of family has not been studied. The authors only collected cross-sectional, observational data and recall bias cannot be completely ruled out and corrected. With such data, only associations could be concluded, not causality. The illness condition of a household was measured by presence of chronic disease and inpatient treatment. Such measures did not take into account the types of illness and number of episodes. Data of this study cannot capture whether food intake of family prior to illness was sufficient/in excess/deficient. The Kuppuswamy scale, mostly used in urban and peri-urban settings, was also used for rural subjects in the study, which might have resulted in impaired capture of rural SES. The authors did not assess whether families were allocated food grains by schemes like public distribution system, which might have resulted in biased decrease in food consumption. Questionnaire used was not validated.

This study demonstrates the various factors that act as barriers to proper food consumption, including non-financial factors. The policy of user fee in government is hitting poorer section, and equity and access to health are compromised. Health expenditure should be increased by public sector policies to implement uniform healthcare. There is need for more studies to identify measures that could be put in place when designing policies and interventions for the uniform distribution of benefits.

The policy of user fee in government is hitting poorer section, and equity and access to health are compromised. Health expenditure should be increased by public-sector policies to implement uniform healthcare.

Major or chronic illness affects money acquisition and priorities of expenditure, resulting in deterioration in quality of food consumption and by a household.

This paper aims to analyse the differential impact of foreign and domestic remittances on household expenditure shares.

This study uses micro-data from a very large and detailed income-expenditure survey in Mexico and runs consumption-share Engel equations to estimate income (expenditure) elasticities for different consumption goods groups. Trying to account for the standard problems of endogeneity, this paper considers only nuclear households with migrant fathers and compare households that receive remittances from abroad, from within Mexico and those not receiving remittances.

This study finds that international remittances have a larger impact on the expenditure shares of women’s clothes, insurances and durable goods, while domestic remittances have a larger impact on the share of income dedicated to food, health and education.

Based on the results, differences in consumption shares between families receiving foreign and domestic remittances might depend not only on the relative size of the income transfer but also on the nature of the transfer and the sender’s capacity to monitor in person the use of those remittances. The results indicate that households that receive remittances from abroad present higher shares of consumption of some goods the literature commonly associates with the mothers’ preferences.

We analyze the food security implications of off-farm labor reallocation decisions of rural farm households in transitional Albania. We accomplish this by examining local and nonlocal off-farm incomes for at-home food consumption expenditures.

An instrumental variable approach is employed to correct for endogeneity and censorship biases of off-farm income variables in a two-stage estimation of the food consumption expenditures.

We find that local off-farm income exerts a positive and significant effect on per capita food consumption expenditures of farm households, while private remittances from nonlocal off-farm income has the opposite effect on food consumption expenditures. In terms of regional heterogeneity, we discover that the mountain region spends significantly less on annual per capita food consumption compared to the central region. This confirms anecdotal evidence that food and nutrition insecurity in rural Albania is predominant in the mountain region.

Our findings suggest the need for policy makers to promote a development agenda that enables farm households to exploit the synergies among the various income-generating activities in the rural economy. This spectrum of income-generating activities forms complex livelihood strategies adopted by rural farm households to improve and maintain their food security.

We distinguish between local and nonlocal sources of off-farm income. Knowing which off-farm income source(s) has the largest impact on household welfare through improved food security status should be of interest to policy makers.

This study aims to analyse the consumption inequality between farm and non-farm households in rural Vietnam, using the data from the 2016 Vietnam household living standards survey.

The present paper applies the “recentered influence functions (RIF)” in “Oaxaca-Blinder (OB)” type decomposition as proposed by Firpo et al. (2018) to allow for the flexible distribution of the outcome variables and the non-randomness of non-farm employment that violates the classical linearity assumption.

Non-farm households have significantly higher per capita consumption expenditure than farm households for the entire distribution. The gap in expenditure is large at low percentiles and narrowing with higher percentiles. At 10th percentile, the gap is estimated at 27.1%, but it is decreasing to 11.1% at 90th percentile. Most of the gaps are explained by the differences in the observed characteristics between farm and non-farm households such as ethnicity, education, income, internal transmittances and household composition. Non-farm households are endowed with more productive factors that result in higher per capita consumption expenditure.

Gaps in ethnicity and education are found to be key predictors of the inequality in consumption expenditures between farm and non-farm households, then, government policies that are aimed at increasing access to non-farm employment and education for ethnic minorities and for rural poor households are pathways to improve rural household welfare and hence reduce inequality.

In response to the pandemic, the Korean government introduced fiscal measures: including the Emergency Disaster Relief Funds which is the first-ever universal benefit in Korea. This paper identifies the effects of the measures on poverty, household income and household consumption expenditure under the disproportionate effect of the pandemic.

This study analysed the Korea Household Income and Expenditure Survey (KHIES) with Changes-in-Changes at five percentiles (5, 25, 50, 75 and 95%) instead of Difference-in-Differences (DD) because the parallel trends assumption of DD cannot be investigated due to the recent KHIES redesign. In addition, it also exmined the effects on vulnerable groups (e.g. female, elderly and young households).

COVID-19 has had prompt and disproportionate effects on the vulnerable, such as low-income, female and elderly households. However, the government measures had a limited effect. First, the measures could not mitigate the initial income reduction and only had temporary positive effects on income and consumption expenditure. Second, young households tended to save the relief instead of present consumption. Lastly, education disparity was observed at 25 and 50%. Therefore, this study suggests that response measures need to be sustainable and concentrated on the vulnerable.

A large literature estimated effects on either household income or household consumption expenditure, and focused on macroeconomic indices (e.g. marginal propensity to consumption). This study analysed both income (poverty) and consumption expenditure and found policy implications for better welfare system in an economic downturn.