Despite increases in women’s employment, significant gender disparity exists in the time men and women spend on household and care work. Understanding how social expectations govern gender roles and contribute to this disparity is essential for designing policies that effectively promote a more equitable household division of labor. In this study, we examine how a woman’s identity may affect the trade-offs between the time she spends on household and care work and her well-being, using an analytical framework we develop based on the work of Akerlof and Kranton. Analyzing data from rural Bangladesh, we find that longer hours spent on household work are associated with lower levels of subjective well-being among women who disagree with patriarchal notions of gender roles, while the opposite is true for women who agree with patriarchal notions of gender roles. Importantly, this pattern holds only when a woman strongly identifies with patriarchal or egalitarian notions of gender role.
Time use, or how women and men allocate their time, is an important aspect of empowerment. To build on this area of study, we propose and explore the concept of time-use agency in this paper, which shifts the focus from the amount of time spent on activities to the strategic choices that are made regarding how to allocate time. We draw on 92 interviews from qualitative studies in Benin, Malawi, and Nigeria to explore across contexts the salience of time-use agency as a component of women’s empowerment. Our results indicate that time-use agency is salient among both women and men and dictates how women and men are able to make and act upon strategic decisions related how they allocate their time. Our findings suggest that time-use agency is important for fully understanding empowerment with respect to time use. Importantly, this study highlights the gendered dynamics and barriers women face in exercising their time-use agency. These barriers are tied to and conditioned by social norms dictating how women should spend their time. Women often make tradeoffs throughout any given day with respect to their time, balancing their expected priorities with the barriers or limitations they face in being able to spend any additional time on tasks or activities that further their own strategic goals. Additionally, these results on time-use agency echo similar themes in the literature on gendered divisions of labor, time poverty, and decision-making, but also add new subtleties to this work. For example, we find that women can easily adjust their schedules but must carefully navigate relationships with husbands to be able to attend trainings or take on new income generating activities, results that align with previous findings that women consistently have higher involvement in small decisions compared to large ones. While these themes have been observed previously in studies of women’s empowerment, to our knowledge, our study is the first to connect them to time use and time-use agency. Our study contributes the conceptualization of time-use agency, and the identification of themes relevant to time-use agency, through the emic perspectives of women and men across three diverse settings in Sub-Saharan Africa. As a concept, time-use agency goes beyond measuring time use to understand the gendered dynamics around controlling one’s time use to advance their own strategic goals and highlights any barriers one faces in doing so. It is a particularly relevant concept for interventions that aim to increase (or at least, not diminish) women’s empowerment by promoting women’s involvement in remunerated activities. Although time-use agency, as a concept, has yet to be addressed in women’s empowerment literature. A next step in this area of inquiry is to develop survey indicators on time-use agency, which may reduce bias and cognitively burden compared to existing time use surveys.
In this paper we explore the implications of Nepal’s new federal Constitution—passed in September 2015—for governance of the agricultural sector. Agriculture is the backbone of the Nepali economy, providing a livelihood for approximately two-thirds of the population, contributing one-third of the country’s GDP, and constituting more than half of the country’s exports. In transitioning from a unitary to a federal republic—with greater authority and autonomy granted to subnational units of government—it is of paramount importance to ensure that the agricultural sector is guided by coordinated planning, retains sufficient human capacity, and receives adequate fiscal resources. These considerations are particularly important given that the governance of Nepal’s agricultural sector already suffers from poor coordination, low human resources capacity, and inadequate financial resources. Addressing these issues may become more difficult under a federal structure. This paper begins by laying out the main challenges for agricultural governance in Nepal under the current structure. To do so, it relies on an original survey of 100 district agricultural and livestock officers in charge of local agricultural service delivery in Nepal as well as perspectives collected through more than two dozen semi-structured interviews with officials from the Ministry of Agricultural Development, the Ministry of Livestock Development, civil society, the private sector, and donors. Because Nepal is embarking on a pathway to more decentralized governance, which has been well-trodden by a number of other countries, the paper proceeds by examining five case studies, drawing lessons from India, Indonesia, Kenya, Malaysia, and South Africa. Based on these analyses, the paper offers policy recommendations on how the sector can be restructured to meet the constitutional provisions, while simultaneously ensuring that the government can deliver on its long-term objectives to develop the agricultural sector.
This study was undertaken to assess the utility of remotely sensed net primary productivity (NPP) data to measure agricultural sustainability by applying a new methodology that captures spatial variability and trends in total NPP and in NPP removed at harvest. The sustainable intensification of agriculture is widely promoted as a means for achieving the Sustainable Development Goals (SDGs) and transitioning toward a more productive, sustainable, and inclusive agriculture, particularity in fragile environments. Yet critics claim that the 17 SDGs and 169 targets are immeasurable and unmanageable. We propose adoption of satellite-estimated, time-series NPP data to monitor agricultural intensification and sustainability, as it is one indicator potentially valuable across several SDGs. To illustrate, we present a unique monitoring framework and a novel indicator, the agricultural appropriation of net primary productivity (AANPP) and analyze spatial trends in NPP and AANPP across the continent of Africa. AANPP focuses on the proportion of total crop NPP removed at harvest. We estimate AANPP by overlaying remotely sensed satellite imagery with rasterized crop production data at 10-by-10-kilometer spatial resolution; we explore variation in NPP and AANPP in terms of food and ecological security. The spatial distribution of NPP and AANPP illustrates the dominance of cropping systems as spatial drivers of NPP across many regions in West and East Africa, as well as in the fertile river valleys across North Africa and the Sahel, where access to irrigation and other technological inputs are inflating AANPP relative to NPP. A comparison of 2000 and 2005 datasets showed increasing AANPP in African countries south of the Sahara—particularly in Mozambique, Angola, and Zambia—whereas NPP either held stable or decreased considerably. This pattern was especially evident subnationally in Ethiopia. Such trends highlight increasing vulnerability of populations to food and ecological insecurity. When combined with other indicators and time-series data, the significance of NPP and the capacity of spatially explicit datasets have far-reaching implications for monitoring the progress of sustainable development in a post-2015 world.
We conduct an ex ante evaluation of the impacts of a potential global recession within the next years and the possible policy responses to support economic activity and improve social indicators in five Central American countries: Costa Rica, El Salvador, Guatemala, Honduras, and Nicaragua. We review the economic and social evolution of the past decades in those countries, and we consider a global scenario that includes further deceleration of world growth, lower commodity prices, and a decline in remittances and capital flows to those countries. We simulate those scenarios and related policy issues using recursive dynamic CGE models for the countries considered. The global shock is run under fixed exchange rates and flexible exchange rates (in the case of El Salvador, which has adopted the US dollar as the domestic currency, the simulation of a flexible exchange rate is just indicative). In all cases, a flexible exchange rate delivers better results in terms of GDP per capita, by softening the overall economic impact of the external shocks. Two possible interventions to deal with the recession are simulated: one focuses on policies to strengthen the safety net for the poor; the other applies a more general macroeconomic stimulus (a tax cut plus a modest increase in public investments, financed by un-conventional monetary policy) to try to cushion the shock. For all countries except El Salvador, these two simulations are run with a flexible exchange rate. In the first policy simulation GDP per capita in those countries does not change much, but the poor groups targeted clearly improve their incomes and consumption, helping them the most during the years of the negative shocks. In the second simulation, the macroeconomic stimulus improves the performance of the economies, allowing GDP per capita to be higher than in the case of the shock alone. In summary, facing a potential global downturn as the one simulated here, those countries that have flexible exchange rates and the use of domestic monetary policies can use a mix of adjustment in exchange rates combined with targeted poverty transfers and macroeconomic stimulus to alleviate the shock. El Salvador, which does not have the exchange rate and monetary instruments, will require further support from multilateral and bilateral sources to soften the shock
This paper assesses the Subramanian and Deaton (S–D) approach for imputing the caloric intake of households from food prepared away from home (FAFH) and composite foods (CF) by juxtaposing it with the imputations of alternative approaches, and extends these approaches to four additional nutrients—vitamin A, iron, zinc, and calcium. The apparent relative nutritional insignificance of FAFH and CF in Bangladesh obfuscates our efforts to assess alternatives to the S–D approach to imputation, and we remain uncertain about the relative value of the alternative imputation approaches examined. FAFH and CF—although widely consumed in Bangladesh—constitute a relatively unimportant source of nutrients, regardless of how the nutrient content of FAFH and CF is imputed.
Gold mining is the main economic activity in Madre de Dios, Peru. Despite efforts, the state has not yet managed to identify a formalization process achievable for small operators. In addition, many small-scale miners are driven by poverty and need income to provide for their basic needs. Because participation in small-scale mining is largely driven by poverty, it is likely that, in the longer term, much artisanal mining activity will disappear naturally if, through economic development, more attractive work options become available. This paper reviews the importance of illegal mining in Madre de Dios and the potential for development of the agriculture sector. It also analyzes three different policy scenarios: (1) government spending to rectify the environmental damage in the region caused by illegal mining, (2) development of the agricultural sector in the region, and (3) a final scenario with both environmental restoration and agricultural development. Results show that additional government spending in Madre de Dios does not significantly affect the rest of the country and that investment in agriculture can achieve structural change in the gross domestic product of Madre de Dios. Development of the agricultural sector also slightly increases household incomes in Madre de Dios.
It is a daunting task to build institution and infrastructure over a short time period in developing countries. But in the absence of sound institutions and adequate infrastructure, it is difficult for economic transformation to take place. An alternative is to facilitate existing industrial clusters or build industrial parks by creating an enabling environment in a limited place. This paper reviews the commonly used strategies to build effective clusters and industrial parks. Clusters and industrial parks are location specific. Because they have an informational advantage, local governments are in a better position than the central government to identify and solve the bottlenecks that affect clusters and industrial parks. As clusters and industrial parks evolve, new bottlenecks emerge, thereby requiring new solutions. This in turns calls for continuous tinkering by local governments. It is important to place local governments and business communities in the driver’s seat of local economic growth so that they can watch out for and adjust to the bumps in the road ahead.
Much empirical research has shown that individuals’ decisions to adopt a new technology are the result of learning–both through personal experimentation through observing the experimentation of others. Yet even casual observation would suggest significant heterogeneity of learning processes, manifesting itself in widely varying patterns of adoption over space and time. This paper explores this heterogeneity in the context of early adoption of hybrid rice in rural India. Using specially designed experiments conducted as part of a primary survey in the field, we identify which of four broad learning heuristics most accurately reflects individuals’ information processing strategies. Linking these learning heuristics with observed use of rice hybrids, we demonstrate that pure Bayesian learning is well suited for the tinkering and marginal adjustments that are required to learn about a technology like hybrid rice, but it is also more cognitively taxing than other learning styles requiring a longer memory and more complex updating processes. Consequently, only about 25 percent of the farmers in our sample can be characterized as pure Bayesian learners. Present-biased learning and relying on first impressions will likely hinder adoption of a technology like hybrid rice, even after controlling for access to credit and a rudimentary proxy for intelligence.
As the effects of climate change set in, and population and income growth exert increasing pressure on natural resources, food security is becoming a pressing challenge for countries worldwide. Awareness of these threats is critical to transforming concern into long-term planning, and modeling tools like the one used in the present study are beneficial for strategic support of decision making in the agricultural policy arena. The focus of this investigation is the Republic of Korea, where economic growth has resulted in large shifts in diet in recent decades, in parallel with a decline in both arable land and agricultural production, and a tripling of agricultural imports, compared to the early 2000s. Although these are recognized as traits of a rapidly growing economy, officials and experts in the country recognize that the trends expose the Republic of Korea to climate change shocks and fluctuations in the global food market. This study uses the IMPACT (International Model for Policy Analysis of Agricultural Commodities and Trade) economic model to investigate possible future trends of both domestic food production and dependence on food imports, as well as the effects from adoption of agricultural practices consistent with a climate change adaptation strategy. The goal is to help assess the prospects for sustaining improvements in food security and possibly inform the national debate on agricultural policy. Results show that historical trends of harvested area and imports may continue into the future under climate change. Although crop models suggest negative long-term impacts of climate change on rice yield in the Republic of Korea, the economic model simulations show that intrinsic productivity growth and market effects have the potential to limit the magnitude of losses; rice production and yield are projected to keep growing between 2010 and 2050, with a larger boost when adoption of improved technologies is taken into consideration. At the same time, food production and net exports from the country’s major trading partners are also projected to increase, although diminished by climate change effects. In sum, these results show that kilocalorie availability will keep growing in the Republic of Korea, and although climate change may have some impact by reducing the overall availability, the effect does not appear strong enough to have significant consequences on projected trends of increasing food security.
