scholarly journals Impact of Cooperative Membership on Rural Income Generation in Southwest, Nigeria

2021 ◽  
Vol 138 ◽  
pp. e75563
Author(s):  
Sofoluwe Nurudeen Afolabi ◽  
Yinusa Olumuyiwa Ganiyu
Keyword(s):  
Household Survey ◽  
Probit Model ◽  
Income Generation ◽  
Matching Method ◽  
Empirical Estimates ◽  
Rural Income ◽  
Southwest Nigeria ◽  
Household Survey Data ◽  
Land Size ◽  
The Impact

This study examines the impact of cooperative membership on rural income generation. It also analyzes the factors influencing participation in cooperatives among rural households in Southwest, Nigeria. The study was designed to account for selection bias into cooperative organizations. Rural household survey data were used and the estimates were based on both the Probit model and non-parametric propensity score matching method. The findings show that income generated through cooperative membership is approximately 10% higher than those generated by noncooperative members. Empirical estimates of determinants of cooperative membership indicate that years of education, age and land size have significant influences on the decision to join cooperatives.

scholarly journals Effect of Land Expropriation on Land-Lost Farmers’ Health: Empirical Evidence from Rural China

2019 ◽  
Vol 16 (16) ◽  
pp. 2934 ◽  
Author(s):  
Yuxin Wang ◽  
Wenlong Li ◽  
Jinping Xiong ◽  
Ying Li ◽  
Huaqing Wu
Keyword(s):  
Health Status ◽  
Negative Impact ◽  
Rural China ◽  
Household Survey ◽  
Probit Model ◽  
Rapid Urbanization ◽  
Land Expropriation ◽  
Income Effects ◽  
Household Survey Data ◽  
The Impact

With rapid urbanization and industry development, China has witnessed substantial land acquisition. Using the rural household survey data, this paper examines the impact of land expropriation on land-lost farmers’ self-reported health with the ordered probit model and investigates the possible mechanisms. The results show that the land expropriation puts higher health risks over those land-lost farmers and the health status of land-lost farmers is significantly worse than that of those with land. Land expropriation has a negative impact on the land-lost farmer’s health through income effects and psychological effects. The health status of land-lost farmers can be enhanced through amending current land requisition policies, increasing the amount of compensation, improving the earning capacity of land-lost farmers and strengthening mental health education.

Farmers’ satisfaction with compensations for farmland expropriation in China

2018 ◽  
Vol 10 (4) ◽  
pp. 572-588 ◽  
Author(s):  
Song Qu ◽  
Nico Heerink ◽  
Ying Xia ◽  
Junping Guo
Keyword(s):  
Household Survey ◽  
Probit Model ◽  
Western China ◽  
Content Type ◽  
Factors Affecting ◽  
The Social ◽  
Household Survey Data ◽  
Potential Interactions ◽  
The Impact ◽  
Compensation Payments

Purpose The purpose of this paper is to examine the impact of the compensation amount as well as the mode through which compensations are paid on farmers’ satisfaction with the compensation received for farmland expropriation in China. Design/methodology/approach Using rural household survey data collected among 450 households in three provinces, located in eastern, central and western China, this paper estimates the impacts of compensation payments, compensation modes, household characteristics and other control variables on farmers’ satisfaction applying an ordinal probit model. Findings The major findings are: farmers’ satisfaction with the compensation depends not only on the size of the compensation but also on the gap between the compensation and the market value of the expropriated land; and the compensation amount positively affects farmers’ satisfaction when the social security compensation mode is used, but does not significantly affect farmers’ satisfaction when other modes are used. Originality/value First, it contributes to the literature on farmland expropriation by providing empirical evidence of the direct impact of the compensation amount and other factors on the degree of farmers’ satisfaction with farmland compensations. Second, potential interactions between compensation amount and compensation mode are taken into account in estimating factors affecting farmers’ satisfaction.

Can Alcohol Prohibition Reduce Violence Against Women?

2015 ◽  
Vol 105 (5) ◽  
pp. 625-629 ◽  
Author(s):  
Dara Lee Luca ◽  
Emily Owens ◽  
Gunjan Sharma
Keyword(s):  
Violence Against Women ◽  
Household Survey ◽  
Gender Violence ◽  
Violent Crimes ◽  
Alcohol Control ◽  
Household Survey Data ◽  
Reported Crime ◽  
Crimes Against Women ◽  
The Impact ◽  
Alcohol Prohibition

Violence against women is a critical problem across the world. In this paper, we exploit state and temporal variation in alcohol control in India to examine the impact of prohibition on alcohol consumption and violent crimes against women. We first use detailed household survey data to show that prohibition policies are associated with substantially lower rates of drinking among men and domestic violence. Next, we provide evidence that alcohol prohibition reduces aggregate violence against women in officially reported crime data. The results suggest that policies that restrict access to alcohol may help reduce gender violence.

scholarly journals Household fuel choice in urban China: evidence from panel data

2017 ◽  
Vol 22 (4) ◽  
pp. 392-413 ◽  
Author(s):  
Xiao-Bing Zhang ◽  
Sied Hassen
Keyword(s):  
Economic Status ◽  
Household Survey ◽  
Probit Model ◽  
Clean Energy ◽  
Urban China ◽  
Fuel Prices ◽  
Gender And Education ◽  
Correlated Random Effects ◽  
Household Survey Data ◽  
Generalized Ordered Probit

AbstractUsing eight rounds of household survey data that span two decades, this paper analyzes the determinants of household fuel choice in urban China. Using the correlated random effects generalized ordered probit model, the authors find that household fuel choice in urban China is related to fuel prices, households’ economic status and size and household head's gender and education. The results suggest that policies and interventions that increase households’ income, reduce the price advantage of dirty fuels (e.g., taxing coal) and empower women in the household are of great significance in encouraging the use of clean energy sources.

scholarly journals Mobilitas Sirkuler Daya Faktor-faktor Yang mempengaruhinya Di Desa Sidorejo Kec Ponjong Kab Gunung Kidul = Circular Mobility And The Factors Influencing It In Sidorejo Village Ponjong Sub District Gunung Kidul Regency

Agro Ekonomi ◽  
2016 ◽  
Vol 10 (1) ◽  
pp. 48
Author(s):  
Utami A Yulianti ◽  
Mas Sadjono ◽  
Slamet Hartono
Keyword(s):  
Affecting Factors ◽  
Factors Affecting ◽  
Farm Production ◽  
Rural Income ◽  
Wage Ratio ◽  
Urban Rural ◽  
Land Size ◽  
Farmer Income ◽  
On Farm ◽  
The Impact

The research aims to find out the factors affecting the circular mobility and the impact of circular mobility on farm production and farmers income.Primary data are .from sample farmers migrant and non migrant. The sample size is 70. The data analyzed by logit model and by difference mean testThe result showed. the affecting factors to circular mobility are. ll. The rural income is negatif flea. 2). Land size is posilif affect 3). wage ratio urban rural negatif affect, The impact of circular mobility increas production and .farmer income. The income ofmigrant familly is Rp -1722611 per year and Rp 2848168 per year for non migrant. The mobility activity contributed higher peoduction and income for migran.

scholarly journals Impact of food price increases on poverty in Indonesia: empirical evidence from cross-sectional data

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faharuddin Faharuddin ◽  
M. Yamin ◽  
Andy Mulyana ◽  
Y. Yunita
Keyword(s):  
Rural Areas ◽  
Household Survey ◽  
Food Prices ◽  
Food Price ◽  
Food Groups ◽  
Cross Sectional ◽  
Content Type ◽  
Price Increases ◽  
Household Survey Data ◽  
The Impact

PurposeUsing cross-sectional household survey data, this paper aims to determine the impact of food price increases on poverty in Indonesia.Design/methodology/approachThis paper uses the quadratic almost ideal demand system applied to the 2013 Indonesian household survey data. The impact of food price increase on household welfare is calculated using a welfare measure, compensating variation.FindingsThree food groups with the most outstanding price impact on poverty are rice, vegetables and fish were studied. The 20% increase in the price of each food group causes an increase in the headcount ratio by 1.360 points (rice), 0.737 points (vegetables) and 0.636 points (fish). Maintaining food price stability for these food groups is very important because the more price increases, the more impact on poverty. Food price policies in rural areas are also more critical than in urban areas because the impact of food price increases in rural areas is higher.Research limitations/implicationsThis paper does not consider the positive impact of rising food prices on food-producing households.Practical implicationsImplementing appropriate poverty alleviation policies through food policies for main food groups and social protection.Social implicationsPromoting rural development policies and agricultural growth.Originality/valueThis paper contributes to the existing literature by providing empirical results regarding the impact of domestic food prices increase on poverty in Indonesia.

FINTECH, GROWTH AND INEQUALITY: EVIDENCE FROM CHINA’S HOUSEHOLD SURVEY DATA

2020 ◽  
Vol 65 (supp01) ◽  
pp. 75-93
Author(s):  
XUN ZHANG ◽  
JIAJIA ZHANG ◽  
GUANGHUA WAN ◽  
ZHI LUO
Keyword(s):  
Survey Data ◽  
Financial Services ◽  
Rural China ◽  
Household Survey ◽  
Rapid Expansion ◽  
Rural Income ◽  
Urban Counterpart ◽  
Urban Rural ◽  
Household Survey Data ◽  
The Rich

This paper represents an early attempt to investigate the growth and distributional effects of Fintech development, using household survey data from China. China’s rapid expansion of Fintech in the past decade has significantly improved the accessibility and affordability of financial services, particularly for formerly financially excluded population groups. Linking the index of digital financial inclusion with China Family Panel Studies (CFPS) data, we find that Fintech development is positively correlated with household income, and the positive effect is larger for rural households than the urban counterpart, suggesting that Fintech development has helped narrow the urban–rural income gap. Moreover, the poor gain more than the rich from Fintech development in rural China, indicating its benign distributive impacts within rural China.

Income Polarization in Asia

2013 ◽  
Vol 12 (2) ◽  
pp. 101-136 ◽  
Author(s):  
Maria Socorro Gochoco-Bautista ◽  
Carlos C. Bautista ◽  
Dalisay S. Maligalig ◽  
Noli R. Sotocinal
Keyword(s):  
Household Survey ◽  
Rural Income ◽  
Income Polarization ◽  
Rural And Urban ◽  
Two Measures ◽  
The Subject ◽  
Household Survey Data ◽  
Per Capita ◽  
Household Heads ◽  
Rates Of Growth

The subject of this study is income polarization, an important but neglected dimension of income distribution. Estimates of two measures of income polarization are obtained for the population, rural, and urban sectors using household survey data on expenditures per capita for a sample of Asian countries. The findings include the following: Income polarization and inequality, the latter measured using the Gini coefficient, are highly positively correlated; in most countries, urban income polarization is higher than rural income polarization; and lastly, higher rates of growth in GDP and per capita GDP, higher levels of educational attainment of household heads, and high rates of employment in manufacturing may be important in keeping income polarization at low levels.

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