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Although preference for sons has been documented among parents in developing countries, it is an open question whether and to what extent intra-household resource allocation is influenced by family sex composition. This study investigates the effects of sex composition on intra-household resource allocation based on the collective household model of Dunbar, Lewbel, and Pendakur (2013). I extend their model to estimate the influences on a household member’s resource share by observing how budget shares of a private assignable good vary not only with total expenditure and family size, but also with family sex composition. Using data from the 2005 Iranian Household Income and Expenditure Survey, I find that family composition significantly affects intra-household resource allocation in Iranian rural areas. Specifically, rural parents assign 1.6–1.9 percentage points more resources toward their sons. These resources are essentially coming at the expense of mothers. In all-boy families, mothers get 2.8–3.6 percentage points fewer resources than they do in all-girl families. These effects are more pronounced among farmer families than nonfarmer families. However, I find no significant role for gender composition in intra-household resource allocation in urban areas.

Changing climate has increasingly become a challenge for smallholder farmers. Identification of technical, institutional and policy interventions as coping and adaptation strategies and exploring risks of their adoption for smallholder farms are the important areas to consider. The aim of the present study was to carry out an in-depth analysis of adaptation strategies followed and the associated risk premium in technology adoption.

The study was carried out in the dryland systems of three Indian states – Andhra Pradesh, Karnataka and Rajasthan – and was based on a survey of 1,019 households in 2013. The flexible moment-based approach was used for estimating the stochastic production function, which allowed estimation of the relative risk premium that farmers are willing to pay while adopting the technologies to avoid crop production risks.

In all the three states, the risk premium (INR ha⁻¹) was higher for farm mechanization compared to supplemental irrigation, except in the case of Andhra Pradesh. The higher the level of technology adoption, the higher the risk premium that households have to pay. This can be estimated by the higher investment needed to build infrastructure for farm mechanization and supplemental irrigation in the regions. The key determinants of technology adoption in the context of smallholder farmers were climatic shocks, investment in farm infrastructure, location of the farm, farm size, household health status, level of education, married years, expected profit and livestock ownership.

Quantification of the risk premium in technology adoption and conducting associated awareness programs for farmers and decision-makers are important to strengthen evidence-based adoption decisions in the dryland systems of India.

Every year 1.3bn tonnes of food are lost or wasted in production, manufacture, distribution and at household level. Consumers are the biggest contributors to the total volume of food waste generated over the world. The purpose of this paper is to analyze the factors affecting consumer’s food waste behavior at household level, providing more insights to existing literature, basing on a hypothesized model.

Data collection was carried from May 2016 to March 2017, by means of a face-to-face structured questionnaire distributed among 580 Italian consumers, with seven constructs. Data analysis included two main steps: exploratory factor analysis and structural equation model (SEM) implemented by means of STATA 14.

Results show that price consciousness, environmental concern and time management influence the attitude that in turn affect the behavior toward food waste minimization. These findings provide basic guidelines for developing policies and campaigns aimed to decrease food waste.

This study point out the importance of the food waste behavioral determinants analysis at household level in Italy. Therefore, the research will include other constructs and further studies can be conducted in European countries to produce spatial SEM.

Waste prevention approaches should concentrate interests on avoiding losses, and releasing of information, best practices and education of consumers as well as strengthening the donation to social services.

The present findings may be used by decision makers, municipality, stakeholders, involved in food waste reduction policies. Moreover, social marketing campaigns can advantage by these results, in order to avoid food-related habits in consumers’ everyday lives not respecting the issues of the food waste. In addition, this study is addressed to academics and scholars that are already working on the role of consumer’s behavior and its implication on food waste reduction.

Food waste in Italy has been analyzed by several authors, yet not involving national samples, using different methodologies and aiming at analyze different aspects. The present study aims at analyzing main determinants affecting food waste behavior at household level: providing more insights to existing literature.

This paper empirically investigates the demand for pastured eggs in the United States and evaluates the welfare consequences of Japan's egg import tariff reductions for the US consumers.

Using household-level Nielsen Homescan panel data, a fixed-effects Heckman two-stage sample selection model is estimated.

The estimation results ascertain the importance of a set of household socioeconomic characteristics, which are found to influence both the purchase probabilities and the consumption amounts associated with pastured eggs. In addition, demand for pastured eggs is estimated to be inelastic, and pastured eggs are found to be a normal good, more specifically a luxury.

The dataset used in this study reflect purchases only for at-home consumption, lacking information on away-from-home purchases.

Building upon previous research, this study makes the following distinct contributions to the current literature. To the best of our knowledge, it constitutes the first study to empirically examine the demand for pastured eggs, using household-level panel data and an estimation model that not only allows for left-censoring but also controls for regional and time fixed effects. Second, the present study reflects a unique effort in analyzing the adverse welfare consequences of the increased egg prices in the United States brought by a reduction of Japanese import tariffs on US-supplied eggs, focusing specifically on pastured eggs.

Education transmits knowledge and abilities that are essential for any society’s socioeconomic progress. It improves the quality of life by providing both individuals and civilizations with several advantages. In this regard, women’s education is critical as they spend longer time with children than men. Despite the fact that education plays an immense role in overall wellbeing of society, in India, there are fewer educational opportunities available to young women than to young men. The gender bias that persists in Indian education and professional training is evident even in the richest countries in the world. In this regard, this study focuses on this intergenerational transmission of knowledge from the mother to her progenies in Karimganj District of Assam using the data from the household level primary survey. This study examines mothers’ educational profiles and ascertains the extent to which their education influence their children’s educational attainments. The results show that woman’s education has a direct role in enhancing the overall welfare of children and, thus, indirectly improves the economic status of the family. The results provide definite causal connections between a mother’s education and children’s educational attainment.

The constantly changing prices, promotions, and packaging options have made decision making more complex for consumers of packaged goods. The purpose of this paper is to explore how price and promotions influence consumer propensity to buy a certain package size.

Scanner panel data for shelf-stable salad dressing obtained from Information Resources Inc. were used to compute the proportion of large packages bought, the relative price paid for large packages, propensity to use various types of promotions, and a behavioral covariate for each household. Data of over 5,600 households were analyzed using a multiple regression analysis for hypothesis testing.

The positive nature of relationship between the relative price of large packages and the proportion of large packages bought demonstrates the suboptimal nature of consumer decision making. The inefficiency is partially attributable to the abundance of promotions, to consumers’ lack of price awareness, and to the use of heuristics by consumers. Also, consumers who are prone to use promotions such as displays and temporary price reductions tend to purchase larger packages. They are more likely to buy impulsively and base their decisions on heuristics. In contrast, consumers who are influenced by featured price cuts and who utilize coupons tend to purchase smaller packages.

Data were obtained from grocery stores; only a single product category was studied.

Offer coupons and advertise featured price cuts on small packages to increase the sales of smaller packages. To move large packages successfully, retailers should rely more on in-store displays and temporary price reductions.

The impact of price and promotions on package size propensity has never been investigated. This study is also one of the few that uses a household-level analysis based on observable purchase data for consumer packaged goods.

The purpose of this paper is to analyze the extent of aging in the agricultural labor force and its effect on farm production in a province of China.

The analysis uses panel data for the years 2004 through 2008 from a representative sample of farm households in Liaoning province. Descriptive statistics reveal the age structure of the agricultural labor force and correlations between labor force age and production characteristics. A translog stochastic frontier production function and technical inefficiency model is employed to analyze the effect of aging of the labor force on the technical efficiency of crop production.

The paper finds an accelerating trend towards aging of the agricultural labor force in the data. Results from the stochastic frontier production function and efficiency analysis reveal that household‐level technical efficiency increases until maximum efficiency is reached when the average age of the household labor force is 45, after which efficiency declines.

Aging of China's rural labor force may affect efficiency and productivity in crop production. Agricultural policies may need to pay more attention to the aging of the agricultural labor force. Some measures should be taken to address the pattern of migration, and policies to improve the social and economic environment in rural areas for younger workers should be developed. Also, extension programs could help older farmers to maintain efficient farming methods.

This is one of very few analyses of the effects of aging on production efficiency for a developing country, as well as for China. The analysis uses a unique panel dataset that covers 24 counties, 1,890 rural households, and more than 6,000 individuals, with each household tracked for five years. Most of the literature estimating technical efficiency carries out the analysis at the individual level; in China and other developing countries, farming is carried out at the household level. We have adapted the methodology to apply to situations where the unit of analysis is the household.

The purpose of this study is to examine the impact of remittance inflow on households’ savings behaviour in Bangladesh. Remittances are considered as the countercyclical flow of income for its recipient economies. It surges the liquidity of the households receiving remittances, allows them to endure local economic shocks and facilitates them to practice productive activities. Remittances often form a big pool of resources for investment which complement the national savings and support the country’s growth through higher rates of capital accumulation. Therefore, if a significant portion of the remittance is used for savings it can lead to prominent economic growth in the long term.

Existing literature indicates remittance-receiving households have a greater propensity to use remittance income to meet basic consumption. However, based on the survey conducted by the Bangladesh Bureau of Statistics on remittances and household savings (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s saving (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s savings behaviour in Bangladesh.

The findings of this study represent remittances encourage households to pursue different kinds of savings in Bangladesh. Savings are made in the form of opening savings accounts, deposit pension scheme/fixed deposits/Bonds, insurance policies, also savings through non-governmental organizations, cooperative societies and savings at home. Other than remittances the demographic characteristics of the household head also influence the savings choices.

To enable the implementation of appropriate policies to boost savings, analysis from both perspectives; the household and the national level, requires strong vigilance and surveillance.

The purpose of this paper is to assess the vulnerability of communities prone to earthquake hazards in Baluchistan at the community and household levels and identify the determinants accounting for the vulnerability of the communities. Baluchistan is vulnerable to potential seismic risk and has recently suffered huge economic and property losses due to the October 2008 earthquake.

The study is based on household surveys, field observations, key informant interviews and focus-group discussions for the assessment of community vulnerability to earthquakes.

The analysis revealed that the community is vulnerable to earthquake hazards both at the community and household levels. The logistic regression model identified three variables, namely, ownership of residential unit, family size and household income, as the most important factors in influencing community vulnerability to earthquake hazards.

The paper may help emergency managers, policymakers and local government authorities to implement building codes, urban planning by-laws and projects and activities to empower communities for disaster preparedness and disaster risk reduction.

The paper concludes that for earthquake safety, building regulations and spatial planning by-laws should be implemented and monitored rigorously. Community preparedness is essential for enhancing people’s awareness against future earthquake hazards in the area.

The purpose of this paper is to critically examine the multinational oil companies’ (MOCs) corporate social responsibility (CSR) initiatives in Nigeria. Its special focus is to investigate the impact of the global memorandum of understanding (GMoU) on improving female status by improving nutrition in the Niger Delta region of Nigeria.

This paper adopts a survey research technique, aimed at gathering information from a representative sample of the population, as it is essentially cross-sectional, describing and interpreting the current situation. A total of 768 women respondents were sampled across the rural areas of the Niger Delta region.

The results from the use of a combined propensity score matching and logit model indicate that GMoU model has made significant impact in the key areas of assessment – gender-sensitive nutrition education, food security at household level, reduction on food taboos and female access to education.

This suggests that CSR interventions targeting to improve the nutrition status of girls and adolescents will help to ensure that female’s status improves throughout the life circle in the region.

This implies that MOCs’ investment in the nutrition of female is an important short-term barometer in assessing expected returns to improving household nutrition and overall human development capacity for sub-Saharan Africa.

This research contributes to the inequality debate in the women’s nutrition and inclusive growth literature from the CSR perspective. It concludes that business has an obligation to help in solving problems of public concern.