scholarly journals Impact of women’s share of income on household expenditure in southeast Nigeria

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Patience Opata ◽  
◽  
Adaku Ezeibe ◽  
Chikwuma Ume ◽  
◽  
...  
Keyword(s):  
Household Income ◽  
Policy Implications ◽  
Household Expenditure ◽  
Bargaining Model ◽  
Cross Sectional ◽  
Household Data ◽  
Household Incomes ◽  
The Impact ◽  
Gender Specific ◽  
Specific Control

The main focus of this paper was to: (i) determine the impact of women’s share of household income on the pattern of expenditure on various categories of basic goods in southeast Nigeria; (ii) explain the pattern of household expenditure using the bargaining model of household behaviour; and (iii) extrapolate the results to the policy implications of gender-specific control of household incomes. We used cross-sectional household data elicited from a sample of 400 households constituting 2 520 members collected from November 2016 to March 2017 and disaggregated by gender. We found that increasing women’s share of incomes raises the budget share for food, children’s clothes, children’s school fees, fuel for household services and other expenditure, although not significantly with the budget shares for alcohol and meals out of the home. Our results suggest that any strategy by policymakers in southeast Nigeria to improve any of the expenditure items should target the empowerment of the gender that will more likely spend their money on the items concerned.

scholarly journals Impact of price and non-price policies on household cigarette consumption and nutrient intake in smoking-tolerant Indonesia

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e039211
Author(s):  
Triasih Djutaharta ◽  
Nachrowi Djalal Nachrowi ◽  
Aris Ananta ◽  
Drajat Martianto
Keyword(s):  
Protein Intake ◽  
Smoking Prevalence ◽  
National Health Survey ◽  
Secondary Outcome ◽  
Household Expenditure ◽  
Food Groups ◽  
Cigarette Price ◽  
Cross Sectional ◽  
Budget Share ◽  
The Impact

ObjectiveTo examine the impact of cigarette price and smoking environment on allocation of household expenditure and its implication on nutrition consumption.DesignA cross-sectional study was conducted using the 2014 National Socioeconomic Survey (SUSENAS), the 2014 Village Potential Survey (PODES) and the 2013 Basic National Health Survey (RISKESDAS). SUSENAS and PODES data were collected by the Central Bureau of Statistics. RISKESDAS was conducted by National Institute of Health Research and Development (Balitbangkes), Indonesian Ministry of Health (MOH).Setting and participantsThe sample covered all districts in Indonesia; with sample size of 285 400 households. These households are grouped into low, medium and high smoking prevalence districts.Primary and secondary outcome measuresThe impact of cigarette price and smoking environment on household consumption of cigarette, share of eight food groups, as well as calorie and protein intake.Result1% increase in cigarette price will increase the cigarette budget share by 0.0737 points and reduce the budget share for eggs/milk, prepared food, staple food, nuts, fish/meat and fruit, from 0.0200 points (eggs/milk) up to 0.0033 points (fruit). Reallocation of household expenditure brings changes in food composition, resulting in declining calorie and protein intake. A 1% cigarette price increase reduces calorie and protein intake as much as 0.0885% and 0.1052%, respectively. On the other hand, existence of smoke-free areas and low smoking prevalence areas reduces the household budget for cigarettes.ConclusionA pricing policy must be accompanied by non-pricing policies to reduce cigarette budget share.

Effectiveness of non-farm diversification on rural household income – evidence and policy implications from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shreya Kapoor ◽  
Sanjeev Kapoor
Keyword(s):  
Household Income ◽  
Rural Households ◽  
Rural Household ◽  
Policy Implications ◽  
Sample Survey ◽  
Indian States ◽  
Farm Sector ◽  
Content Type ◽  
Farm Diversification ◽  
Household Incomes

Purpose Doubling farming households’ income through occupational diversification to the non-farm sector has been advocated to be of paramount importance in an agrarian economy such as India. The purpose of this paper is to analyse the effects of non-farm activities on rural household incomes in four different Indian states by using a propensity score matching technique and developing an endogenous switching model. Design/methodology/approach The research is based on secondary data taken from four quinquennial rounds of employment and unemployment surveys conducted by the National Sample Survey Organization. Findings The matching results indicate a maximum monthly rise in per capita income of Rs. 60 in Gujarat and a minimum increase of Rs. 18 in Rajasthan among rural households employed in the non-farm sector as compared to the farm sector. The findings confirm that rural non-farm structural diversification cannot be viewed as a blueprint for increasing rural household incomes in different states. Further, it suggests the need to segmenting the different states on the basis of agricultural development for increasing rural incomes. Research limitations/implications The study argues that Indian states with a strongly developed farm sector i.e. Gujarat and Punjab are not ideally suited to undergo structural changes in their economic pursuit. The estimates suggest that the transition of rural households from farm to non-farm-sector activities is a very weak strategy in agriculturally developed states of Gujarat and Punjab, whereas non-farm diversification becomes a pivotal strategy for increasing rural household incomes in less agriculturally developed states such as Rajasthan and Uttar Pradesh. A contrasting point that arises from these evidence is that although diversification to the non-farm sector leads to higher income, but the resultant figures are very scanty. Originality/value The present study contributes to the existing literature by providing evidence and policy implications on rural non-farm diversification in India and its impact on the rural household income. The study can help the policymakers in framing policies aiming at increasing the income of the rural household through the structural transition of the rural economy.

Aging, social capital, and health care utilization in Canada

2008 ◽  
Vol 3 (4) ◽  
pp. 393-411 ◽  
Author(s):  
AUDREY LAPORTE ◽  
ERIC NAUENBERG ◽  
LEILEI SHEN
Keyword(s):  
Social Capital ◽  
Adam Smith ◽  
Positive Association ◽  
Policy Implications ◽  
Care Utilization ◽  
Cross Sectional ◽  
Standard Deviation Increase ◽  
Physician Visits ◽  
Gp Visits ◽  
The Impact

AbstractThis paper examines relationships between aging, social capital, and healthcare utilization. Cross-sectional data from the 2001 Canadian Community Health Survey and the Canadian Census are used to estimate a two-part model for both GP physicians (visits) and hospitalization (annual nights) focusing on the impact of community- (CSC) and individual-level social capital (ISC). Quantile regressions were also performed for GP visits. CSC is measured using the Petris Social Capital Index (PSCI) based on employment levels in religious and community-based organizations [NAICS 813XX] and ISC is based on self-reported connectedness to community. A higher CSC/lower ISC is associated with a lower propensity for GP visits/higher propensity for hospital utilization among seniors. The part-two (intensity model) results indicated that a one standard deviation increase (0.13%) in the PSCI index leads to an overall 5% decrease in GP visits and an annual offset in Canada of approximately $225 M. The ISC impact was smaller; however, neither measure was significant in the hospital intensity models. ISC mainly impacted the lower quantiles in which there was a positive association with GP utilization, while the impact of CSC was strongest in the middle quantiles. Each form of social capital likely operates through a different mechanism: ISC perhaps serves an enabling role by improving access (e.g. transportation services), while CSC serves to obviate some physician visits that may involve counseling/caring services most important to seniors. Policy implications of these results are discussed herein.How selfish soever man may be supposed, there are evidently some principles in his nature, which interest him in the fortune of others, and render their happiness necessary to him, though he derives nothing from it, except the pleasure of seeing it. … That we often derive sorrow from the sorrow of others, is a matter of fact too obvious to require any instances to prove it; for this sentiment, like all other original passions of human nature, is by no means confined to the virtuous and humane, though they perhaps may feel it with the most exquisite sensibility. The greatest ruffian, the most hardened violator of the laws of society, is not altogether without it.Adam Smith,The Theory of Moral Sentiments, Chapter 1, Part first.

scholarly journals The Impact of Program Participation on Rural Household Income: Evidence from China’s Whole Village Poverty Alleviation Program

2019 ◽  
Vol 11 (6) ◽  
pp. 1545 ◽  
Author(s):  
Junying Lin ◽  
Zhonggen Zhang ◽  
Lingli Lv
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Household Income ◽  
Poverty Alleviation ◽  
Household Head ◽  
The Political ◽  
Program Participation ◽  
Household Data ◽  
The Poor ◽  
The Impact

Villagers’ participation in poverty alleviation programs has received considerable attention, especially with regard to the poor. However, not much is known about the welfare effect of villagers’ program participation. This paper analyzes the impact of villagers’ program participation on their incomes. We used household data from 529 villagers in China’s Whole Village Poverty Alleviation Program. We focused on two types of program participation—discussion and voting. Using the propensity score matching approach, we estimate the impact of rural households’ program participation on their income. The results show that the education and the political career of the household head determine program participation. Households participating in discussion and voting have a positive and significant effect on household income. Richer households benefit more from the program. However, the poor receive less benefits. We conclude that broadening villager’s participation can boost the effectiveness of China’s poverty alleviation program.

scholarly journals Measuring the Differential Economic Impact of Education across Income Groups and Provinces in Pakistan: A Model- Consistent Approach

2013 ◽  
Vol 18 (Special Edition) ◽  
pp. 161-182
Author(s):  
Fahd Rehman ◽  
Russel J. Cooper
Keyword(s):  
Household Income ◽  
Educational Opportunities ◽  
Social Effects ◽  
Household Expenditure ◽  
Differential Impact ◽  
Engel Curve ◽  
Income Groups ◽  
Long Run ◽  
Expenditure Data ◽  
The Impact

Engel’s Law states that the share of food in household expenditure declines with households’ total expenditure—a regularity that is clearly evident in Pakistani household income and expenditure data. This study uses an “Engel curve” to incorporate additional social effects—including the impact of education on welfare—to infer the differential impact of education on measures of household wellbeing across income groups and provinces. Our Engel curve specifications close the gap between economic theory and empirical applications critical to evaluating the effects of education on economic wellbeing. The results show that net primary and matriculation education enrolment ratios can bring about a significant improvement in people’s welfare. Accordingly, there is a need to specifically redirect resources to Balochistan where access to educational opportunities is rather low; and to increase access to such opportunities in Sindh and Khyber Pakhtunkhwa. Data for the period 2008–11 shows that households in the two lowest income groups are worst off in terms of access to educational opportunities. Efforts should thus be stepped up to enhance their access to educational opportunities at the primary and matriculation levels. The study’s predictions are intended to guide policymakers in terms of where to concentrate their efforts and reduce economic distortions, and move the economy onto a sustainable path in the long run.

scholarly journals Effects of Diabetes on The Output of Farmer and Its Policy Implications

2020 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Syed Asif Ali Naqvi ◽  
Bilal Hussain ◽  
Syed Ale Raza Shah ◽  
Muhammad Sohail Amjad Makhdum
Keyword(s):  
Logistic Regression ◽  
Marital Status ◽  
Work Performance ◽  
Negative Influence ◽  
Policy Implications ◽  
Cross Sectional ◽  
Farming Communities ◽  
Regression Techniques ◽  
The Impact ◽  
Working Efficiency

This study investigated the impact of diabetes on work performance of different farming communities from Punjab, Pakistan. This study was based on cross-sectional data. A representative sample of 374 farmers was collected from five selected districts. Three types of respondents were analyzed in the study e.g.,laborer, small and large growers. Poisson and logistic regression techniques were used for the sake of analysis. According to the investigated results for thelabor category, respondents with more age, less qualification, low earning per month (Rupees), and having positive record of family diabetes, would havemore leave per month. In the same way, findings for small farmers revealed that education, family size, family with diabetic records, marital status and availability at farm (hour/day) were significant. In case of third category, study outcome highlighted that age, education, marital status, having positive record offamily diabetes and number of hours spent at farm would be positively correlated with the reduction in working efficiency at farm due to diabetes. It can beconcluded that diabetes have negative influence on the work performance of selected farming groups.

scholarly journals The Impact of Land Conversion on Income and Food Security Status For Farmer Households in 5 Villages in Temon Sub-District, Kulon Progo District, 2017

2017 ◽  
Vol 21 (2) ◽  
pp. 180
Author(s):  
Anisa Nurpita ◽  
Latri Wihastuti ◽  
Ike Yuli Andjani
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Income ◽  
Secondary Data ◽  
Primary Data ◽  
Land Conversion ◽  
Paired Samples ◽  
Food Security Status ◽  
Household Incomes ◽  
The Impact

Preparation for the construction and development of  NYIA airport in Temon sub district, Kulon Progo district, D.I. Yogyakarta province has caused displacement of people for their land, including farmers. Farmers affected are located in five villages that include Jankaran, Palihan, Sindutan, Glagah and Kebon Rejo. The objective of this resrarch is to  analyze the impact of land conversion on farmer household incomes and food security status.  The research used both primary and secondary data. Primary data was collected using structured questionnaire.  Analysis of data was based on descriptive statistics and test of differences between paired samples. Results showed that land conversion has had a negative and significant influence on incomes of affected farmer households. The decline in household income of farmers in 5 villages in Temon sub district among other factors, is attributable to the reduction in farming land. Secondly, consequently, loss of farmer household income aggravated the vulnerability of the affected households to food insecurity.  The number of farmer households that experienced food insecurity increased from 87 percent of all farmer households prior to land conversion to 90 percent after land conversion. Conclusions formed the basis for several policy recommendations to mitigate and if possible overcome the problem.

The Impact of Community Based Health Insurance in Enhancing Better Accessibility and Lowering the Chance of Having Financial Catastrophe Due to Health Service Utilization

2015 ◽  
Vol 47 (3) ◽  
pp. 504-518 ◽  
Author(s):  
Somdeth Bodhisane ◽  
Sathirakorn Pongpanich
Keyword(s):  
Health Care ◽  
Health Insurance ◽  
Household Income ◽  
Health Care Services ◽  
Lower Probability ◽  
Community Based ◽  
Cross Sectional ◽  
Community Based Health Insurance ◽  
Care Services ◽  
The Impact

The Lao population mostly relies on out-of-pocket expenditures for health care services. This study aims to determine the role of community-based health insurance in making health care services accessible and in preventing financial catastrophe resulting from personal payment for inpatient services. A cross-sectional study design was applied. Data collection involved 126 insured and 126 uninsured households in identical study sites. Two logistic regression models were used to predict and compare the probability of hospitalization and financial catastrophe that occurred in both insured and uninsured households within the previous year. The findings show that insurance status does not significantly improve accessibility and financial protection against catastrophic expenditure. The reason is relatively simple, as catastrophic health expenditure refers to a total out-of-pocket payment equal to or more than 40% of household income minus subsistence. When household income declines as a result of inability to work due to illness, the 40% threshold is quickly reached. Despite this, results suggest that insured households are not significantly better off under community-based health insurance. However, compared to uninsured households, insured households do have better accessibility and a lower probability of reaching the financial catastrophe threshold.

The Impact of Labor Remuneration and the Differentiation of Household Income on Labor Productivity in the Regions of Russia

2019 ◽  
Vol 7 (4) ◽  
pp. 15-18
Author(s):  
Елена Басовская ◽  
Elena Basovskaya ◽  
Леонид Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Labor Productivity ◽  
Household Income ◽  
Institutional Environment ◽  
Production Factor ◽  
Labor Remuneration ◽  
Household Incomes ◽  
The Impact ◽  
Regions Of Russia

The models of regions, econometric based on crosscutting statistics, have established that wages and the differentiation of household incomes have a significant impact on labor productivity in the regions of modern Russia. Changes in the level of remuneration and differentiation of incomes of the population in recent years explain 78–82% of changes in labor productivity in the regions, and the effect of the level of remuneration is twice the impact of the differentiation of incomes of the population. The impact of wages on productivity in the period grows. This indicates an increase in the efficiency of labor as a production factor. The influence of income differentiation on labor productivity, which had previously been lost due to the formation of an unfavorable institutional environment under the laws adopted in the country, resumed. The impact of income differentiation decreases, which indicates a decrease in its stimulating effect on labor productivity.

Household Expenditure on Tobacco Consumption in a Poverty-Stricken Rural District in Sri Lanka

2017 ◽  
Vol 29 (2) ◽  
pp. 140-148 ◽  
Author(s):  
K. Manuja N. Perera ◽  
G. N. Duminda Guruge ◽  
Pushpa L. Jayawardana
Keyword(s):  
Sri Lanka ◽  
Household Income ◽  
Sampling Method ◽  
Response Rate ◽  
Tobacco Consumption ◽  
Cross Sectional Study ◽  
Household Expenditure ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Household Level

Tobacco is a determinant of poverty and a barrier for development. Monaragala, a rural, agricultural district, reports the highest poverty-related indicators in southern Sri Lanka. A cross-sectional study was used to describe the household expenditure on tobacco and its association with food- and education-related expenditures at household level. This study used a 4-stage cluster sampling method to recruit a representative sample of 1160 households. Response rate was 98.6%. Median monthly household income was LKR 20 000 (interquartile range [IQR] = LKR 12 000-30 000). The median monthly expenditure on tobacco was LKR 1000 (IQR = LKR 400-2000) with the highest spending tertile reporting a median of LKR 2700 (IQR = LKR 2000-3600).The proportionate expenditure from the monthly income ranged from 0.0% to 50% with a median of 5.0% (IQR = 2.0-10.0) and a mean of 7.4% (7.6). The poorest reported the highest mean proportionate expenditure (9.8%, SD = 10) from the household income. Household expenditure on tobacco negatively associated with expenditure on education.

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