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Households are exposed to a wide array of risks, characterized by a known or unknown probability distribution of events. Disasters are one of these risks at the extreme end. Understanding the nature of these risks is critical to recommending appropriate mitigation measures. A household’s resilience in resisting the negative outcomes of these risky events is indicative of its level of vulnerability. Vulnerability has emerged as the most critical concept in disaster studies, with several attempts at defining, measuring, indexing and modeling it. The paper presents the concept and meanings of risk and vulnerability as they have evolved in different disciplines. Building on these basic concepts, the paper suggests that assets are the key to reducing risk and vulnerability. Households resist and cope with adverse consequences of disasters and other risks through the assets that they can mobilize in face of shocks. Asustainable strategy for disaster reduction must therefore focus on asset‐building. There could be different types of assets, and their selection and application for disaster risk management is necessarily a contextual exercise. The mix of asset‐building strategies could vary from one community to another, depending upon households’ asset profile. The paper addresses the dynamics of assets‐risk interaction, thus focusing on the role of assets in risk management.

This paper investigates the deterrence effect of development on crime against women in India. Specifically, the authors examine the deterrence effect of the composite development index, i.e. Human Development Index (HDI), along with other variables acting as development indicators such as women’s employment, the relative strength of women in the police force, urbanization, etc., on crimes against women.

This study adopts a fixed effect within-group (WG) panel regression model and pooled regression model on the data of 28 states over 20 years from 2000 to 2019. For checking the robustness of the results, the authors use the estimation from the system generalized method of moments.

The results confirm the deterrence effect of development as measured by the HDI and female labor force participation on various crimes against women. In addition, female feticide representing the socio-cultural attitude toward women turned out to be another significant determinant of almost all types of crime against women. Further, the study also finds the deterrence effect of variables such as police expenditure, the relative strength of women in the police force, urbanization and arrest rate on various crimes against women.

This research paper is unique because it tries to examine the deterrence hypothesis of development by taking a composite index of development, i.e. HDI and other variables at the state level in the Indian union.

As digital technologies expand access to new forms of legalized gambling, including sports betting and online gaming, it is important to assess the impact of macroeconomic and equity market outcomes on fund flows into gambling. The authors’ findings will be of interest to policymakers and the gambling industry, as various forms of gambling, including day trading, gain broad public acceptance.

The authors examine the impact of macroeconomic forces, business cycles, and financial market wealth on gambling. The authors propose a nonlinear model linking aggregate gambling expenditures to macroeconomic, stock market, and gambling industry variables. The authors estimate the proposed model using nonlinear estimation procedures.

The authors find that price of wagering, incomes, and supply of gambling opportunities are the primary determinants of wagering demand. Aggregate wagering is negatively impacted by realized stock returns and market volatility, but rises during recessions.

To the best of the authors’ knowledge, the questions posed and addressed in this manuscript have not been addressed in prior literature.

The purpose of this paper is to look forward to explore the links between projected rapid rates of agribusiness expansion and Africa's economic growth, equity and spatial development.

The paper draws inferences from 30 years of agribusiness value chain research in Africa.

Africa's agribusinesses stand poised for exceptionally rapid growth over the coming 40 years. Because of strong interdependencies between agribusiness and agriculture, productivity growth in agribusiness systems will critically affect Africa's overall economic growth rate, its spatial development patterns and progress toward poverty reduction. But the necessary efficiency gains in agribusiness performance will not appear automatically. They will require substantial private investments, a competitive private sector and heightened public attention in areas where governments have historically proven weak: promoting regional trade, improving town and regional planning, financing scientific research, funding higher education and building commercially viable rural financial systems.

Researchers can help by assembling empirical evidence in these topic areas and by examining value chain models that stimulate private sector investment, accelerate efficiency gains and facilitate access and egress by the poor.

Drawing on 30 years of value chain research in Africa, the paper examines links between agribusiness trajectories and economic growth, equity and spatial development.

This paper aims to assess the efficiency of public investment in West African Economic and Monetary Union (WAEMU) countries at both the global and sectoral level over the 2005–2015 period.

This paper estimates efficiency scores using stochastic frontier analysis (SFA) models. Efficiency is divided into managerial efficiency (related to inputs management) and technological efficiency (related to production technology). A Tobit model is then used to investigate the determinants of public investment efficiency.

The findings suggest that, at the global level, WAEMU countries are less efficient than sub-Saharan African and Asian reference countries. However, the breakdown of global efficiency into managerial and technological reveals that WAEMU countries are more efficient than sub-Saharan African countries in terms of technological efficiency. Moreover, these findings are robust to nonparametric estimation. The assessment of financing sources indicates that external debt has a more positive and significant effect on public investment efficiency than internal debt does.

This paper is unique in that it disentangles managerial efficiency from the technological efficiency of public investment in WEAMU countries and highlights how financing sources of investment affect its efficiency. In terms of policy implications, the underlying message of the results is that the rules and conditions of domestic or regional debt in the WAEMU countries must be strengthened to ensure better monitoring and then better efficiency of these resources.