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The paper aims to investigate the impact of financial liabilities on households’ holdings of financial assets. The debt-to-income ratio of the household sector increased from 75 per cent in 2000 to 99 per cent in 2010 in the euro area on average, and the rapid accumulation of household debt has induced the need to study how indebtedness affects the behaviour of households beyond their borrowing decisions.

The paper uses the first wave of the Household Finance and Consumption Survey from 2009-2010 covering euro area countries. The paper estimates a system of equations for households’ financial liabilities and assets, taking account of endogeneity and selection bias.

The results indicate that higher household liabilities are related to lower holdings of financial assets. The results are confirmed by a large number of robustness tests. The findings support the hypothesis that credit availability reduces precautionary savings as income shocks can be smoothed by borrowing, meaning fewer assets are held for self-insurance against consumption risk.

The results are obtained from a recession period when households faced aggregate shocks, whereas credit constraints were tighter than during good times. The implications of lower incentives to keep financial assets by indebted households is that they are actually more vulnerable to aggregate shocks, as they have fewer resources available when they are hit by a negative shock.

This is the first paper to investigate the effect of liabilities on financial assets using household level data. The paper takes a holistic view and models financial assets and liabilities jointly while controlling for endogeneity and selection bias.

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.

The purpose of this paper is to examine the impact of off-farm employment on agricultural fixed assets among households in rural China.

The authors drew on panel data from two rounds of household-level surveys of more than 2,000 households in rural China. The two surveys were conducted in 2008 and 2012 in five provinces. The authors used instrumental-variable Tobit model to test whether the current value of agricultural fixed assets differ between households with different levels off-farm employment.

The authors observe that off-farm employment has a negative effect on the current value of agricultural fixed assets at the household level in rural China.

The authors believe that the results will contribute positively to the assessment of the effect of off-farm employment on the investment in agricultural fixed assets at the household level in the context of China.

This article aims to examine the role of capital assets in rural household poverty transitions of poverty escape and poverty descent over periods of 2014–2016 and 2016–2018.

Based on the sustainable livelihood approach, this paper uses binary logit model to explore the influence of multidimensional capital assets on poverty transitions and use instrumental variable estimation to solve the endogeneity between total net asset and poverty transitions.

Capital assets have significant impacts on household poverty transitions. The role of capital assets in households' poverty escape and poverty descent are not symmetrical. The authors verify that rural households with rich total net asset are more likely to escape poverty and less likely to descend into poverty by using instrumental variable estimation. The authors verify that there is a mediation effect that total net asset can help households' escaping poverty and prevent them from falling into poverty through promoting rural households to engage in business activities.

This paper is the first to explore how capital assets affect poverty transitions in rural China based on the sustainable livelihood approach. The findings of this research can provide valuable policy implications for the pursuit of common prosperity in China and references for other developing countries.

The purpose of this paper is to empirically analyze the relationship between risky asset allocation and background risk of Chinese residents.

Using Chinese macroeconomic data, this study uses numerical method to solve dynamic stochastic optimal problem.

When risk of labor income is considered, ratio of risky asset declines with rising of age for those people with same age and wealth state; any of the following situations will lead to lower risky assets holdings: lower labor income growth expectations, higher labor income risk or higher labor and financial market covariance risk.

This study uses real economy investment return as a proxy of risky asset return.

Residents with higher background risks should hold less risky assets, and overcome home‐bias problem during asset allocation.

This study takes two kinds of background risk into consideration: labor income risk, and covariance between labor income and risk asset.

The study analyzes the relationship between homeownership and financial investment of households in the context of emerging markets like India. It also examines how homeownership affects the portfolio decisions of Indian households.

Using the nationally representative All-India Debt and Investment Survey of 2019 and employing an instrumental variable approach, the authors analyze the relationship between homeownership and the share of financial assets held by Indian households. The study also employs several sensitivity checks, including alternate estimation techniques and alternative definitions of the housing variables, and accounts for additional factors to ensure that the authors are able to capture the effect of homeownership on the outcome variable.

The analysis suggests homeownership crowds out financial investment in India due to high repair and maintenance costs. The negative effect is mainly observed in urban households. Further, the findings imply that homeownership leads households to reallocate their asset portfolio. Homeowners have a lower share in liquid short term deposits, indicating the high liquidity risk of their portfolios. On the other hand, homeownership increases the share of long term retirement funds along with no effect on risky asset share. The authors observe that the crowding out effect is more striking for younger households and poorer households with low income, and the effect is lower for indebted households.

The findings underscore the need for financial awareness programs so that housing does not crowd out liquid investments of households. Additionally, the results highlight that policies should first focus on young and poor households as the negative effect is more prominent for these groups. Finally, there is scope for policies to support repair and maintenance costs incurred by vulnerable households to reduce the negative effect of housing on liquid financial investments.

This paper is among the few studies that provide insights into how homeownership relates to financial investment and portfolio decisions in the context of an emerging economy. Furthermore, the heterogeneous effects based on poor economic status and age underscore the need for complementary policies.

Using harmonized wealth data and a novel decomposition approach in this literature, we show that cohort effects exist in the income profiles of asset and debt portfolios for a sample of European countries, the United States, and Canada. We find that the association between household wealth portfolios at the intensive margin (the level of assets) and household characteristics is different from that found at the extensive margin (the decision to own). Characteristics explain most of the cross-country differences in asset and debt levels, except for housing wealth, which displays large unexplained differences for both the under-50 and over-50 populations. However, there are cohort differences in the drivers of wealth levels. We observe that younger households’ levels of wealth, given participation, may be more responsive to the institutional setting than mature households. Our findings have important implications, indicating a scope for policies which can promote or redirect investment in housing for both cohorts and which promote optimal portfolio allocation for mature households.

Currently, Malaysia uses the Poverty Line Income (PLI) to measure poverty. This is because income measurement is the easiest way to collect data, but in its simplicity, it fails to capture the broader meaning and implications of poverty. Asset index is one of the non-monetary poverty measurements which have been established by researchers but not used in measuring poverty in Malaysia. A household might be poor in income, but assets may prevent them from being trapped in poverty.

This study will reassess the poverty of 302 households in the Northern States of Malaysia using the asset index and also the current state of poverty incidence with change under asset index.

The results show that households in the Northern States of Malaysia are interpreted as being ‘poorer’ when poverty is measured using assets as opposed to income alone. Besides that, poverty incidence of Malay households, households living in urban area and households with middle-aged heads have high poverty incidence, while households with a head of households that is single and highly educated have low poverty incidence. The logistic regression analysis shows that the determinants of poverty incidence based on the asset index are Indian, Penang and Perak State, the age of the head of household, distance to the education centre from home.

This study shows the asset index measurement which have not been done in Malaysia. This will contribute to the improvement of poverty measurement of the country.

The purpose of this paper is to contribute to the literature on microcredit impacts by quantifying the gender disaggregated effects of long-term borrowing on capital accumulation in order to address the existing gap. Separate models are estimated for male-headed and female-headed households to determine if the effects of microcredit differ between these gender types.

The paper adopts the method proposed by Deaton (1990) in which he specifies a model without borrowing restrictions whereby the household maximizes an inter-temporal utility function. To account for self-selection and endogeneity of micro credit, the fixed effects instrumental variable approach is used. Data are disaggregated by gender and analyzed separately.

The paper finds that micro credit indeed increases productive assets and human capital but has no significant effect on non-productive assets. One striking result is that after disaggregating the data by gender, the authors find no effect of micro credit on women-headed households.

The paper provides an empirical evidence for the need to address gender issues in finance and lending. Furthermore, targeted lending particularly to women makes a great difference in the fight against poverty.

This paper fills the gap on gender and micro credit impacts on capital accumulation in a developing country context.

This study aims to reconstruct how smallholder farmers implement livelihood adaptation strategies to survive and escape poverty, thereby mitigating or eliminating potential livelihood risks by utilizing their available assets.

This research employed a qualitative approach. For the collection of primary data, the researcher conducted observations and in-depth interviews and engaged with the lives of smallholder farmers during the data collection period.

Among the various livelihood adaptation strategies, only migration and profit-sharing strategies enable smallholder farmers to escape poverty. However, migration is an unsustainable adaptation strategy. When farmers move to new locations, they often resort to slash-and-burn methods for clearing land, which can lead to forest degradation and deforestation. Profit sharing is a sustainable livelihood adaptation strategy that falls into a different category. This approach can lift farmers out of poverty, increase their income and have no negative environmental impact. Other adaptation strategies include adjustments to traditional agriculture, both on and off-farm diversification, involving the family in income generation, reducing farming costs, practicing frugality in post-harvest processes, converting land from coffee cultivation to other crops and borrowing money and selling owned assets. Smallholder farmers implement these strategies to survive the existing economic conditions.

The profit-sharing strategy was a novel livelihood adaptation approach that previous studies had yet to uncover at the research site. In this strategy, farmers assume the roles of both managers and laborers simultaneously during farming, while toke (the capital owners) play the role of farming funders. The generated profit is then shared between farmers and toke based on the agreement established at the outset of their collaboration.