Collective Household Research Articles

Rural transformation and sustainable livelihood approaches under regional environmental policies: Evidence from two villages in the Yangtze River Delta metropolitan region, China

AbstractHasty and often uncontrolled urbanization and industrialization in metropolitan regions have pressured fragile rural ecosystems and large‐scale rural livelihoods in China. Through in‐depth observation and face‐to‐face interviews with key insiders in the villages of China's largest metropolitan region, the Yangtze River Delta, findings show that environmental policies in this region have profoundly influenced the local institutional processes and rural transformation. Through the lens of a modified sustainable livelihoods approach (MSLA), two institutional processes in formulating livelihoods strategies have stood out from case villages—state sponsorship exemplified by Yu village and grassroots entrepreneurship exemplified by Daxi village—and achieved sustainable livelihood outcomes in both collective level and household level. In particular, state‐sponsored development in Yu village was strongly supported by local leadership and trust between local cadres and villagers. In contrast, grassroots entrepreneurial development in Daxi village emphasized rural entrepreneurs' self‐learning and self‐governance capacities. As such, we argue that making sustainable livelihood strategies is not a unidirectional process like top‐down or bottom‐up, albeit multifaceted alternatives intertwined with dynamic institutional processes for collectives and households in rural areas. Ultimately, we call for more vivid and in‐depth case studies to nuance regional geography and its contextual attributes in further sustainable livelihood research in rural areas.

Collective market action, farm performance, and household welfare among maize farmers: the role of outgrower scheme in Northern Ghana

ABSTRACT Although outgrower scheme facilitates farmers’ collective action in agri-food value chain market participation, evidence of its impacts on farm performance and welfare is still limited. We examine the determinants and impact of outgrower scheme collective market participation on farm performance and household welfare in northern Ghana, using a multinomial endogenous switching regression (MESR) model to account for selectivity bias. The empirical findings show that participants in collective input and output markets as well as the joint markets outperform nonparticipants in terms of farm performance (commercialization and net farm income) and household expenditure, with the highest gains associated with joint market participation. We also observed that factors such as gender, age, extension service, credit, transaction cost, and awareness of outgrower scheme significantly influence farmers’ inclusion in group marketing. The findings suggest that policies that facilitate farmers’ access to agricultural inputs and output markets in collective action should be implemented through public–private partnerships to enhance farm performance and the livelihood of farmers.

Who benefits? Experimental evidence on Saudi women’s take-up of unemployment assistance

Does a woman’s take-up of government benefits vary with her perception of how they will be shared within the household? Using randomized assignment to alternative information treatments, we examine this question in the context of Saudi women’s willingness to apply for unemployment assistance (Hafiz). We compare the take-up among women who receive no program information to three groups: those who receive information on program eligibility conditions (Eligibility group) and those who receive additional information that their registration status is broadly confidential (Privacy group) or that they fully control registering and accessing benefits (Agency group). Three months later, the treatments, on average, doubled Hafiz applications, with the treatment impacts largest for the Agency group. Women from poorer households and married women are most responsive to the Agency and Privacy interventions respectively. These findings are consistent with collective household bargaining models where family members’ spending preferences differ; we predict larger treatment impacts when there is more competition for resources.

Collective forest tenure reform and forest conditions: evidence from the social-ecological system in Southwest China

China’s recent collective forest tenure reform (CFTR) aims to improve forest conditions by devolution of forest management rights from community collectives to individual households. Studies reveal substantial local variation in CFTR implementation, but the ecological effects and underlying mechanism have received little attention. Our study focused on community-managed forests and household-managed forests in four communities located in the mountains of Southwest China. The objective was to investigate the relationship between CFTR and forest conditions at the local scale. We employed a combination of remote sensing technology, field forest observations and socioeconomic surveys to gather data for analysis. The results showed that the forest cover change trends of collective forests and household forests in each community were consistent from 1994 to 2014. There was no significant relationship between CFTR implementation and local-level differences in species diversity and soil fertility in forests. The aboveground biomass of collective forests was significantly higher than that of household forests. Differentiated access and use, low compensation amounts, and loose payment terms jointly affected CFTR’s effectiveness to improve local-scale forest conditions in the study area. Attempts to formalize forest tenure rights must be flexible enough and adapted to the local environment so that changes induced by the CFTR can improve local access to forest resources and its benefits.

Family bargaining over parental leave: A collective household model with endogenous gender power

AbstractAlthough existing studies have suggested that men's leave‐taking positively affects children's development and their involvement in childcare and household chores in the long run, the underlying mechanism remains unclear. To shed light on this ambiguity, this study develops a dynamic collective household model and analyses household decisions on parental leave‐sharing between spouses, resource allocation, home production, and labour supply. We demonstrate that gender equality in bargaining positions within families before leave‐taking is crucial in explaining the positive impacts of men's leave‐taking. Specifically, if women's intrahousehold bargaining power before taking parental leave is sufficiently low, their husbands are unlikely to take leave, and women's positions may deteriorate after leave. Consequently, households may allocate fewer resources to children, and men may not actively participate in childcare and household chores. Our model suggests that implementing parental leave policies for both genders may not be sufficient; simultaneous measures to increase women's bargaining power are necessary to encourage men to take parental leave and maximize the policies' benefits.

Food demand and cash transfers: A collective household approach with Homescan data

I study how individual preferences and bargaining power within older couples affects the impact of cash transfers on food demand. Using longitudinal Homescan data, I find that wives have stronger preferences for food than husbands, and that household demand patterns for food are affected by spouse’s relative bargaining power. Failure to account for these effects leads to underestimates of older couples’ total food demand, and of their implied response (at both intensive and extensive margins) to a counterfactual experiment of a cash transfer program with equivalent benefit size as the Supplemental Nutrition Assistance Program (SNAP). I find that the cash transfer can achieve the goals of SNAP to some extent.

Estimation of sharing rule: an application of intra-household collective model on Indian data

PurposeMany aspects of well-being depend critically on individual-level expenditure and consumption. The Millennium Development Goals include the promotion of gender equality and the empowerment of women, which partly have to do with women’s access to resources within households. Many important questions in labour, public and development economics also hinge on the intra-household distribution of resources. This paper aims to estimate the resource shares within a household in the rural and urban sectors of West Bengal through a collective household model, where each household member has a specific utility function. The sharing rule parameters, that determine the apportionment of resources between members within a household, are estimated in an intra-household collective framework. The analysis is based on a system of log-quadratic Engel curves estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian National Sample Survey Office (NSSO) for rural and urban sectors separately for the state of West Bengal.Design/methodology/approachThe sharing rule parameters (that determine the apportionment of resources between members) within a household are estimated in an intra-household collective framework as suggested by Dunbar et al. (2013). The analysis is based on a Quadratic Almost Ideal Demand System (QUAIDS) estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian NSSO.FindingsIn this paper, the authors estimate the sharing rule of total household expenditure between couples in a household in the state of West Bengal. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.Originality/valueThis paper is an attempt to estimate the sharing rule for households using NSSO consumption expenditure data. This paper also highlights the intra household unequal resource allocation through the sharing rule. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.

The more the poorer? Resource sharing and scale economies in large families

In large families, individuals must share resources with many others but may benefit from economies of scale. This paper studies individual consumption in different types of households, with a focus on family structures that are common in developing countries. Based on a collective household model, we develop a methodology to identify intra-household resource allocation and the extent of joint consumption. Unlike existing approaches, we do not require consumption data on single-person households, which are rare in low-income countries. We illustrate our methodology using data from Bangladesh and Mexico. We document intra-household consumption inequality in both countries and substantial economies of scale in consumption in Mexico but not Bangladesh. Using our estimates, we then compute poverty rates for men, women, and children. Contrary to existing poverty calculations that ignore either intra-household inequality or economies of scale in consumption, ours account for both dimensions.

A socio-spatial approach to the first legal hall dwelling setting in Switzerland: the case study of Hallenwohnen in Zurich.

The study explores the collective settings of Hallenwohnen (hall dwelling) as a section of the Zollhaus settlement, which is the follow-up project by the Kalkbreite housing cooperative, functioning since January 2021 in Zurich, Switzerland. Hallenwohnen is the first legal hall cohousing arrangement in Switzerland. The private and semiprivate spaces of Hallenwohnen consist of a large open hall with collective basic structures and mobile residential towers (rollable spaces) as the core concept, which offer an affordable, self-managed/self-build, collaborative living and coworking arrangement in the center of Zurich. The qualitative case study method has been applied through the face-to-face semistructured interviews mainly with three occupants of Hallenwohnen as representatives of this residential community, in-situ observations, spatial investigations and document analyses. The theoretical framework of the study is grounded in the concept of collaborative housing. The results reveal that the innovative socio-spatial potentials of the collective spaces have been activated through the participatory intentions of the microcommunity and intended functional mix of the setting. Living as one collective household , multiplicity usage of hybrid spaces and the spatial activation of intermediate spaces have enabled participation-capable residential spaces and have resulted in optimal usage of housing spaces. Nonetheless, constraints and points of conflicts, which trigger the (re)negotiations and reinterpretations of the usage of collective housing spaces facilitate collective solutions of the residential community. A bottom-up initiative such as Hallenwohnen is helped along, through the long-term planning and top-down support of the cooperative housing model of Zurich.

Measuring Women's Empowerment in Collective Households

Measuring women's empowerment within families is challenging. Social scientists often rely on close-ended survey questions on women's participation in household decisions, domestic abuse, and autonomy to measure women's power and agency. Recent advances in family economics have allowed researchers to identify and estimate structural measures of women's power and resource control based on the collective household model. We provide a brief overview of this literature. We then apply machine learning techniques to answer the following questions: How do such measures compare to women's responses to close-ended survey questions? Which survey questions are most predictive of model-based estimates of women's empowerment?

Identification of unobserved distribution factors and preferences in the collective household model

This paper develops a non-parametric collective random utility model with a continuous choice of consumption and sharing. We allow for a heterogeneous population by introducing unobserved distribution factors and preferences that are non-separable in the stochastic household choice system. We provide necessary and sufficient conditions for invertibility with respect to the vector of unobserved heterogeneity. Further, we show non-parametric identification of each individual’s idiosyncratic preferences and Pareto weights from the distribution of observed choices. Based on this result we develop a non-parametric two-step estimation procedure and estimate individual counterfactuals in a collective labour supply model for households with children using the LISS panel.

Interregional Migration: Who Decides to Move?

Abstract The functionality of a region depends on its people. Yet for some regions within Australia, attracting and retaining varied skilled people continues to be a challenge. What influences people to want to stay, move away from or move into a region? Before we can answer this question, we firstly need to understand ‘who’ is making this decision. Much of past research assumes the decision is made at the individual head of household level or must assume the decision is made at the individual as opposed to the household level as a result of data availability. This paper highlights the limitations of making such an assumption and offers an alternative method transforming secondary microdata to reflect the collective household unit as the decision making unit. We find that our migration models are statistically robust with results consistent with conventional studies that show smaller, younger households are more mobile. Most importantly, however, we find evidence that our proxies which represent characteristics of the collective unit, termed “Decision Making Unit”, are also statistically significant. Thus, justifying the need for migration models to reflect the collective unit and not just the individual, should we seek to better understand motives. JEL classification numbers: J61, R23, R58 Keywords: interregional migration, migration, decision-making, households, regions

Health Service Needs from a Household Perspective: An Empirical Study in Rural Empty Nest Families in Sinan and Dangyang, China.

This study aimed to explore the health service needs of empty nest families from a household perspective. A multistage random sampling strategy was conducted to select 1606 individuals in 803 empty nest households in this study. A questionnaire was used to ask each individual about their health service needs in each household. The consistency rate was calculated based on their consistent answers to the questionnaire. We used a collective household model to analyze individuals’ public health service needs on the family level. According to the results, individuals’ consistency rates of health service needs in empty nest households, such as diagnosis and treatment service (H1), chronic disease management service (H2), telemedicine care (H3), physical examination service (H4), health education service (H5), mental healthcare (H6), and traditional Chinese medicine service (H7) were 40.30%, 89.13%, 98.85%, 58.93%, 57.95%, 72.84%, and 63.40%, respectively. Therefore, family-level health service needs could be studied from a family level. Health service needs of H1, H3, H4, H5, and H7 for individuals in empty nest households have significant correlations with each other (r = 0.404, 0.177, 0.286, 0.265, 0.220, p < 0.001). This will be helpful for health management in primary care in rural China; the concordance will alleviate the pressure of primary care and increase the effectiveness of doctor–patient communication. Health service needs in empty nest households who took individuals’ public needs as household needs (n = 746) included the H4 (43.3%) and H5 (24.9%) and were always with a male householder (94.0%) or at least one had chronic diseases (82.4%). Health service needs in empty nest households that considered one member’s needs as household needs (n = 46) included the H1 (56.5%), H4 (65.2%), H5 (63.0%), and H7 (45.7%), and the member would be the householder of the family (90.5%) or had a disease within two weeks (100.0%). In conclusion, family members’ roles and health status play an important role in health service needs in empty nest households. Additionally, physical examination and health education services are the two health services that are most needed by empty nest households, and are suitable for delivering within a household unit.

Snap and Food Consumption: A Collective Household Approach with Homescan Data

Snap and Food Consumption: A Collective Household Approach with Homescan Data

Food Demand and Cash Transfers: A Collective Household Approach with Homescan Data

Food Demand and Cash Transfers: A Collective Household Approach with Homescan Data

Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares

We provide new results showing identification of a large class of fixed-T panel models, where the response variable is an unknown, weakly monotone, time-varying transformation of a latent linear index of fixed effects, regressors, and an error term drawn from an unknown stationary distribution. Our results identify the transformation, the coefficient on regressors, and features of the distribution of the fixed effects. We then develop a full-commitment intertemporal collective household model, where the implied quantity demand equations are time-varying functions of a linear index. The fixed effects in this index equal logged resource shares, defined as the fractions of household expenditure enjoyed by each household member. Using Bangladeshi data, we show that women’s resource shares decline with household budgets and that half of the variation in women’s resource shares is due to unobserved household-level heterogeneity.

Home Location Choices and the Gender Commute Gap

Using administrative records of home mortgages in Beijing, we show that dual-income households systematically choose to buy homes that are closer to the wife’s workplace. The wife’s commute from the newly purchased home is on average 11% shorter by distance than the husband’s. We estimate a discrete home location choice model and find that households derive substantially larger disutility from the wife’s commute than from the husband’s. Through the lens of a simple collective household model, we show evidence that the gender commute gap reflects the intra-household division of labor and relative bargaining power.

Dowries, resource allocation, and poverty

We study the relationship between dowries – wealth transfers from the bride’s family to the groom or his family at the time of marriage – and individual-level poverty in rural India. Based on the estimates of a collective household model, we show that the share of household consumption expenditure allocated to a woman is strongly associated with the dowry she paid at the time of her marriage. We compute poverty rates separately for women and men and find that women’s poverty relative to men decreases with dowry. Moreover, women who paid dowries are less likely to be poor relative to women who did not, even when their households’ consumption expenditures are the same. Our counterfactual policy analysis indicates that abolishing or reducing dowries (through anti-dowry laws or taxes, for example) may have the unintended effect of aggravating intra-household inequality and increasing women’s risk of living in poverty after marriage.

New Round of Collective Forest Rights Reform, Forestland Transfer and Household Production Efficiency

The purpose of this paper was to analyze the influence mechanism of the new round of Collective Forest Rights Reform (CFRR) on farmers’ production efficiency from the perspective of forestland transfer. Based on the panel data of field investigation in Jiangxi Province, a panel logit model was used to verify whether the new round of CFRR has affected farmers’ forestland circulation behavior. The results showed that the new round of CFRR has played a significant role in promoting forestland circulation. Secondly, the non-parametric DEA method was used to estimate the technical, scale, and comprehensive efficiency of households. DID and panel quantile models were constructed to analyze the impact of forestland inflow policy and forestland outflow policy effects on rural household productivity. The regression results showed that the effect of forestland inflow has had a significantly positive impact on scale and comprehensive efficiency, but it only had a significant effect on technical efficiency in the 0.1 quartile. The effect of forestland outflow was not found to be significant for technical, scale, and comprehensive efficiency, but it was found to be negative for technical efficiency in the 0.75 quartile and negative for scale efficiency in the 0.5 and 0.75 quantiles.

Identification of semiparametric model coefficients, with an application to collective households

We prove identification of coefficients for a set of semiparametric specifications that are related to multiple index models. Potential applications of these results include models of observed heterogeneity in production functions and in consumer demand systems. We then generalize these results to identify a class of collective household consumption models. We extend the existing literature by proving point identification, rather than the weaker generic identification, of all the features of the collective household model, including price effects. We estimate the model using Japanese consumption data, and find substantial variation in resource shares and indifference scales across households of different sizes.