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This study aims to investigate the relationship between political connections and the over-indebtedness of firms in the construction industry. Furthermore, this study explores the moderating effect of corporate governance mechanisms with monitoring intent on this relationship.

This study uses the data from China’s listed construction firms for the years 2010–2019 to run the fixed-effect regression. This study constructs the optimal capital structure mathematical model by following the trade-off approach.

The research results show that most of China’s listed construction firms are surprisingly over-indebted in the long run. This study affirms that political connections positively impact the over-indebtedness of China’s listed construction firms. However, corporate governance can alleviate the impact of political connections on the over-indebtedness of China’s listed construction firms.

There were limited studies to discuss the relationship between political connections and the over-indebtedness of construction firms, and no particular attention has been given to the moderating effect of corporate governance mechanisms on the relationship between political connections and over-indebtedness. Moreover, in calculating the over-indebtedness of China’s listed construction firms, this study considers the financial characteristics of China’s construction firms when building the mathematical model of optimal capital structure, which makes the calculation results of over-indebtedness closer to reality.

This paper seeks to measure and characterise the extent of consumer over‐indebtedness among the European Union (EU) member states.

The study evaluates alternative measures of over‐indebtedness on the basis of the permanent‐income/life‐cycle theories of consumption behaviour and adopts a subjective approach in identifying over‐indebted households on the basis of European household survey data. It then investigates the main characteristics of over‐indebted households.

The empirical results reveal that over‐indebtedness was a significant problem across EU member states in the mid‐1990s. Moreover, an inverse relationship emerged between the extent of the over‐indebtedness problem and the extent of consumer borrowing across EU countries.

Anecdotal evidence seemed to suggest that some main factors behind over‐indebtedness could be “market failure” on the credit market, the existence of liquidity constraints and lack of access to formal credit markets. However, a comprehensive and rigorous investigation of the extent and determinants of over‐indebtedness can only be achieved through analysis of more extended household data sets, particularly panel data.

The EU credit markets exhibited certain symptoms of “market failure”, on the one hand, and there was also need for further financial liberalisation in the Southern European countries, on the other hand.

The paper provides a first systematic evaluation of existing measures of consumer over‐indebtedness as well as the first EU‐wide empirical investigation of the problem. It should provide valuable information to the credit industry as well as financial regulatory bodies.

Although credit plays a crucial role in modern society, the increased availability of credit is partly responsible for higher levels of debt burden and household over-indebtedness. However, despite the serious consequences of over-indebtedness on household welfare our understanding of the factors that determine over-indebtedness and the link between over-indebtedness and poverty is limited. The purpose of this paper is therefore to identify drivers of over-indebtedness at an individual level and its link with poverty.

The authors analysed the determinants of over-indebtedness and its links with poverty employing a binary logistic regression model using data on 51,359 individuals from 11 economies in the Southern Africa Development Community.

The results suggest that over-indebtedness is driven by, among others, lack of credit literacy, cross-borrowing and income. The results also suggest that over-indebtedness is likely to impoverish the indebted.

Policies that encourage access to financial services such as credit should be designed such that increased financial inclusion does not aggravate poverty and inequality.

The authors used a unique financial inclusion survey that reports data on financial inclusion and poverty measures to identify the determinants of over-indebtedness and its link with poverty.

This paper aims to explore the linkage between households' social interactions and credit context and how these interactions may influence household borrowing decisions.

Based on a sample of 45,907 individuals referred to 18 countries, drawn from the Survey of Health, Ageing and Retirement in Europe, different probit regressions are used to test the four hypotheses proposed.

Empirical evidence confirms that intensive and extensive sociability are positively related to consumer debt holding. However, when social activities are considered separately, there is weak evidence that they are also related to mortgage debt holding and over-indebtedness. Moreover, at this level of analysis, the different nature of the social activities in which the individual participates in may condition the relationship with borrowing behaviour. The findings also show that relative income plays a passive role in household borrowing behaviour, since low-income households are more likely to hold mortgage and informal loans or to be over-indebted in highly indebted countries.

First, this paper extends the knowledge of the relationship between social interactions and borrowing behaviour by considering not only the intensity and diversity of the social activities in which the individual participates, but also the different nature of these activities. Second, it proposes that social interactions may play a passive role on borrowing decision, suggesting that household's behaviour might be passively affected by the density of borrowers surrounding it. To the best of our knowledge, there has not been any attempt to test this issue regarding household borrowing decisions. Third, unlike the few empirical papers on the topic, the paper also analyses previous issues by distinguishing between different types of debts; a distinction that revels the different role played by social interactions.

The purpose of this paper is to assess the existence of critical tipping points for explanatory variables (age, government grants, education and household size) – in particular, household debt service-to-income on multidimensional poverty.

The paper applies a generalized additive model (GAM) using regression splines on National Income Dynamics Study data to establish threshold effects of the explanatory variables on multidimensional poverty.

The results show that the tipping point at which debt is associated with improved household welfare is 42.5 percent (level of debt service-to-income). With significant findings, household heads younger than 60 years of age and more children are associated with lower multidimensional poverty. Government grants may suffer from fungibility as they do not seem to be an effective tool for multidimensional poverty eradication. The ideal household size with negative significant correlation to multidimensional poverty is less than four members. And lastly, education proves to be the best instrument for households to escape multidimensional poverty.

High household indebtedness is a severe social problem. Its effects include deteriorating physical and mental health, relationship difficulties and breakdown. Significant social costs arise such as medical treatment and indirectly, reduction of productivity. Further effects on society include rising criminal behavior, children dropping out of school thereby transferring poverty to succeeding generations. Non-performing loans increase and in turn lead to reduced credit availability. The overall health of the economy is impacted due to reduced aggregate demand.

Macro studies have demonstrated the presence of thresholds on debt analyses. However, such is not known in micro analyses, this paper attempts to bridge this knowledge gap by applying GAM for analysis of debt-poverty nexus at the micro level.

Some sections of society have expressed concerns that consumer debt has risen to a dangerous level. However, there is little evidence regarding how consumers themselves feel about debt. This paper reports up‐to‐date findings from the International Institute of Banking and Financial Services’ Financial Well‐being Survey about consumers’ attitudes towards debt in general and their current levels of borrowing. The implications for the financial services industry and its regulation are discussed.

This study aims to develop and test a parsimonious theoretical model of risky indebtedness behaviour, a facet of over-indebtedness that refers to the behavioural tendency of often assuming hazardous debt levels.

The authors administered an online survey to credit card owners (n = 1,288) in an emerging economy in which consumer credit is characterized by extremely high interest rates (i.e. Brazil). The authors used covariance-based structural equation modelling to analyse the data and test for mediation effects.

Individuals who inadvertently consider their credit limits a part of their current income or are typically anxious about money are prone to engage in impulsive buying and, consequently, risky indebtedness behaviour. By engaging in such indebtedness behaviour, individuals weaken their financial preparedness for emergencies, which potentially jeopardizes their overall financial well-being.

As indebtedness is a highly sensitive issue, the self-report measures used may have produced social desirability bias.

This study discusses the responsibility of financial institutions to support consumers in building awareness on how to adequately use financial services and to provide credit access to high-risk consumers. Policymakers need to ensure that those in the private sector play fairly.

This study adds new knowledge about how destructive financial behaviours operate and impact marketing and consumers’ financial well-being. It theorizes about indebtedness by critically examining existing and newly developed concepts in the financial services marketing literature.

The purpose of this paper is to discuss the stakeholders of debt settlement programmes in general and some lessons learnt from the most significant debt settlement programmes of recent years in Hungary. The study also presents a planned debt settlement programme in Hungary. The paper explores and details behaviours and motivations of different stakeholders in debt settlement in general and also with reference to a specific case study. As for its main research question, the paper seeks to identify the preconditions of a successful debt settlement programme with specially emphasis on the poor.

Data from semi-structured in-depth expert interviews, documents and former research papers were collected for identifying previous Hungarian debt settlement programmes and potential lessons learnt. After a general discussion, based on primary and secondary sources, a case study is presented to obtain a more comprehensive understanding of opportunities and challenges of debt settlement.

Six preconditions of successful debt settlement targeting the poor are identified. In the case study, the existence and relevance of these preconditions are tested: the main finding is that they all are important for solving the situations, so a partial solution is not sufficient. In the scope of the case study, more precisely within the planned innovative banking solution, the motivations of the bank and the coordinator NGO are identified. On the part of the bank, motivations for solving social problems (both as far as business and moral issues are concerned) are relevant, while – as for the other party – the situation of the debtor is important to understand so that opportunities of cooperation can be identified. In addition, as other stakeholders also influence the potentials of the programme, their cooperative attitude is also needed.

Limitations consist in generalisation: the study presents some cases from one single country and finally it focuses only on one specific case in one specific social and economic context in Hungary. Having recognized this risk, the author opted for basing research questions on theory, documented the process in detail, and also used triangulation through applying a multiple data collection (interview, content analysis, literature review) method.

Besides presenting an academic understanding of the phenomena, the goal of the study is to contextualize and interpret the case, to help the realization of currently frozen initiatives and to promote similar future ones.

Indebtedness is a stressful situation affecting families, smaller communities and broader society as well. The planned cooperation of BAGázs and MagNet tries to help people excluded from the banking system. So that a deeper debt trap can be avoided, the goal of this programme is to purchase, partially discharge and reschedule pre-accumulated debts of carefully selected people who have regular income and are willing to undertake bearable repayment. The idea is very innovative with literally no good practice to follow. The research seeks to clarify the pitfalls and opportunities to help the realization of the project and similar future ones.

A certain form of values-based banking concerns the financial inclusion of the poor, e.g. debt settlement. Nevertheless, over-indebtedness and the settlement of existing debts as well as the relevance of such issues to the financial inclusion are not emphasized enough in the literature or in practice. Besides presenting an academic understanding of the phenomena, the goal of the study is to contextualize and interpret the case, to help the realization of currently frozen initiatives and to promote similar future ones.

The purpose of this study is to assess the impact of credit constraints on agricultural labour productivity as well as the impact of credit constraints and agricultural labour productivity on rural households' consumption in Ghana.

This study uses the Ghana Living Standard Survey round six (GLSS 6) as the main source of data, which happens to be one of the most comprehensive household datasets in Ghana. Quantitative estimation techniques (namely: Endogenous Switching Regression and Two Stage Least Squares) are used to address possible endogeneity and selection into credit markets.

First, large households are prone to credit constraints while age (experience) and compliance with extension advice reduce credit constraints. Second, the determinants of agricultural labour productivity for both constrained and unconstrained households are age, sex, farm equipment, herbicide and farm size. Third, household size, education and livestock rearing influence agricultural labour productivity of constrained households. Fourth, credit constraints, irrespective of how they are measured, impede agricultural labour productivity while access to credit fosters labour productivity. Lastly, credit constraints robustly reduce consumption while agricultural labour productivity strongly enhances rural households' consumption.

The first contribution is that, unlike most previous studies, we do not focus on the widely used measure of productivity – output per unit land, but on agriculture labour productivity in particular. Secondly, unlike most previous studies which examine the effect of credit constraints either on productivity alone or consumption alone, our study examines the impact of credit constraints on both. Thirdly, unlike the existing literature which uses one or two measures of credit constraints, we use a wide range of measures of credit constraints – seven different measures of credit constraints. Lastly, our empirical strategy solves at least two critical econometric problems – sample selection bias and endogeneity.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.