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This paper aims to test two hypotheses related to the supposedly negative impact of rent control on residential mobility: the mobility of renters is, first, negatively related to how attractive their residential areas are and, second, relatively high for renters living in properties built after 2005.

This paper estimates logit and multinomial logit regressions and models household moves. The multinomial logit regressions separate between short- and long-distance moves and between moves to rentals and to owned dwellings. This paper uses the “relative income” of the tenants’ residential areas to proxy area attractiveness. This paper estimates regressions for entire Sweden and the three largest “commuting” regions and municipalities, respectively.

The full sample provides support of both hypotheses in all regressions. Hypothesis one gets stronger support for moves to other rentals than moves to owned dwellings but about equally strong support for short- and long-distance moves. Hypothesis one obtains strongest support in Gothenburg municipality while hypothesis two obtains strongest support in the Malmö region. Also, hypothesis two obtains stronger support for short-distance moves than long-distance moves and slightly stronger support for moves to owned dwellings than those to rented dwellings.

This paper does not estimate “how much” rent control affects mobility, and results cannot be used to design specific rent setting policies. Results may be sensitive to how different types of moves are defined.

Efforts to reform rent setting policies in Sweden are encouraged.

To the best of the author’s knowledge, this paper’s two hypotheses are not tested before in Sweden and can be tested without control groups.

With the growing interconnectedness of global markets brought about by globalization and technological innovation, there is a heightened worldwide risk of money laundering, posing a considerable negative impact on economies and social equality. Therefore, the primary purpose of this research is to examine factors that underpin the pervasiveness of money laundering risk.

By using a cross-section sample of 84 countries, the study uses ordered logit and multinomial logit regression to test and explain the role of main and varied determinants of money laundering risk covering countries’ economic, social, regulatory and corporate environment.

The authors conclude that, overall, the macroeconomic indicators are less relevant in influencing money laundering risk than the other factors adopted from the Basel report. Nonetheless, the volume of exports and the exchange rate were robust in both the ordered and multinomial regression analyses alongside financial secrecy, auditing standards and corporate transparency. While more financial secrecy and a higher volume of exports were found to increase this risk, the other variables showed a negative relationship. The authors further conclude that it is mostly less secrecy, more transparency and better auditing that could gradually transform a high-risk country into medium risk.

This study recommends the implementation of publicly accessible ownership registries to address the issues around secrecy, transparency and auditing misconducts. Additionally, the general strengthening of laws and policies in these three domains is also necessary alongside the application of current technologies, such as machine learning, for the detection of money laundering.

The authors believe this study uses advanced econometric techniques rarely used in the literature on money laundering. Separating the impact of economic and social/regulatory is also valuable

This study aims to learn how a three-way interaction moderation model is used to analyse the role of country-specific characteristics, in the form of the implementation of Sharia law and legal origin in a particular country, in the choice of sukuk type.

The firm profitability and firm leverages of sukuk issuer are used as the firm characteristics that can influence the choice of sukuk type between Mudharaba sukuk, Ijara sukuk and Murabaha sukuk. The research sample of 545 global sukuk issuances, obtained from the IIFS database, includes the issuance of Mudharaba sukuk, Ijara sukuk and Murabaha sukuk from ten sukuk issuer countries all over the world.

The research results show that the probability of choosing Mudharaba and Ijara sukuk is found in issuers sukuk with a high firm leverage, while the probability of choosing Murabaha sukuk is found in issuers sukuk with a high firm profitability. A three-way interaction moderation model is used in this research to explain that sukuk issuers in countries that implement Sharia law and adopt a legal origin common law system will have a higher choice of Mudharabah and Ijarah sukuk types if the firm’s leverage is high. If the firms’ profitability is high, then the sukuk issuer prefers Murabaha sukuk.

The use of firm’s characteristic variables is based solely on trade-off theory and pecking order theory. Also, limitations on the implementation of Sharia law in countries that do not provide opportunities for countries that apply a mixed law system.

The role of Sharia law and common law legal origin is proven, through a three-way interaction model, to strengthen the interaction of the firm leverage and choice of Mudharaba sukuk.

Legal certainty for Islamic financial institutions is created in the context of ease of investing in sukuk. Flexibility in the structure is also one of the factors that encourage the development of market acceptance of sukuk. The right structure of the sukuk can be used for specific target markets.

There has been no study carried out on a three-way interaction moderation model used to analyse the role of country-specific characteristics. The role of Sharia law and common law legal origin is proven, through a three-way interaction model, to strengthen the interaction of the firm leverage and choice of Mudharaba sukuk.

This paper addresses the following questions: Why do some firms employ multiple debt types? What explains debt heterogeneity? Is the choice of the source of debt a function of corporate governance?

The author's paper is empirical and uses multiple regression analysis.

Firms under weak corporate governance have a higher propensity to use multiple debt types and have a dispersed debt structure. Contrastingly, firms that are well-managed tend to concentrate debt and borrow predominantly from a few creditors. The author also found that while bank debt is negatively associated with debt concentration, market debt is positively associated with debt concentration.

Firms under weak corporate governance have a higher propensity to use multiple debt types and have a dispersed debt structure. Well-managed firms tend to concentrate debt and borrow predominantly from a few creditors. Bank debt is negatively associated with debt concentration and market debt is positively associated with debt concentration.

Policymakers and practitioners need to account not only for changes in the firm’s total debt level but also for changes within the firm’s debt composition. Understanding a manager’s choice of debt structure can incentivize creditors to effectively monitor and use debt concentration as a form of commitment device that transfers some control rights from the manager to creditors.

While a vast body of corporate finance literature examines the conflict between shareholders and management, there is little empirical work on the conflict between creditors and management. In this paper, the author examines how managerial entrenchment affects debt structure. The results provide a comprehensive picture of how corporate governance influences debt choice(s).

The purpose of the present research is to examine the comparative values that urban Vietnamese consumers place on attributes of rice that is produced using environmentally friendly methods. The authors consider the impacts that this may have on the livelihoods of rural Vietnamese small farmers. Rice is an “impure public good” that includes both “private” and “public” attributes that consumers consider in their purchase decisions. Consumers make tradeoffs between environmentally and socially beneficial practices (public goods) and perceptions of product quality (private goods). The authors used latent class modeling to investigate the values associated with attributes of rice that is produced using sustainable farming practices.

The authors used a discrete choice experimental design in which consumers stated their choices among combinations of rice attributes. The survey provided responses from 360 urban Vietnamese consumers and allowed to estimate the preferences and nonpecuniary values for rice grown using different levels of environmentally beneficial production methods.

The results identify two segments of rice consumers: one group of consumers who are sensitive to price and the other group who are sensitive to environmental issues. The individual characteristics are reflected in the choices of production methods and in the willingness to pay for environmentally beneficial outcomes of those methods.

Given the number of independent variables measured, the sample was relatively small, such that confirmatory statistical methods were inconclusive. However, the authors used multiple analytical tools that provide corroboration of the significant determinants of the utility functions for the two segments.

The results provide directions for production of rice at a national level, as well as practical implications for consumer-oriented communications.

Results suggest that the emerging middle class of Vietnamese consumers are willing to pay more for rice that is produced using methods that are beneficial to the environment. Results also indicate challenges to provide sustainably-produced rice to poorer groups of consumers.

The study provides important context for consumer preferences within emerging economies. This also adds to a growing literature that uses the choice experiment method to estimate consumer valuation of the outcomes of various agricultural practices.

This study aims to investigate low-carbon footprint travel choices, considering both destination attributes and climate change perceptions, and examine the impacts of nudging (a communication tool to alter individuals’ choices in a predictable way) on tourists’ preferences for carbon mitigation in destinations.

A discrete choice experiment questionnaire was administered to a sample of 958 Hong Kong respondents. Hybrid choice modeling was used to examine the respondents’ preferences for destination attributes and to explain preference heterogeneity using tourists’ climate change perceptions. The respondents’ willingness to pay for the destination attributes was also calculated to measure the monetary value of the attributes.

Destination type, carbon emissions and travel cost had significant effects on tourists’ choices of destination. Nudging increased tourists’ preference for low-carbon footprint choices. Tourists with higher climate change perceptions were more likely than others to select low-carbon destinations with carbon offset projects.

The findings of this study provide an impetus for destination management organizations to support local carbon offset projects, implement policies that mitigate carbon emissions and develop sustainable tourism to fulfill tourists’ demand for low-carbon footprint travel choices. Based on the findings, policymakers could promote sustainable tourism by publishing relevant climate change information on social media.

This study addressed a gap in the literature on tourist travel choice by considering carbon emission-related attributes and climate change perceptions and by confirming the role of nudging in increasing the choice of low-carbon destinations.

This study empirically identifies household demographic and socioeconomic characteristics as well as restaurant characteristics that affect the probability of households choosing an ethnic restaurant (American, Asian, European, Mexican and other) in the USA.

A multinomial logistic regression model is applied using the data derived from the information from the National Household Food Acquisition and Purchase Survey conducted between April 2012 and January 2013.

The empirical findings suggest that such factors as the unit cost on away-from-home food items (i.e. price), region of residence, primary respondent's ethnicity, race, education level, marital status and employment status as well as such restaurant characteristics as availability of loyalty program and presence of coupons significantly affect the probability of households choosing a particular ethnic restaurant in the USA.

The original dataset employed in this study does not permit the quantification of information associated with size, location, and number of years in operation for the ethnic restaurants considered. Also, the dataset does not permit the classification of the ethnic restaurants included in the “other” category.

To the best of the authors' knowledge, there has been no empirical micro-level analysis associated with determining factors impacting households' choice of ethnic restaurants using a polytomous logistic regression model allowing for a wide range of ethnic restaurants and covering the entire USA, based on an extensive set of household demographic and socioeconomic factors and restaurants characteristics. As such, the current study plugs this research gap, with the empirical findings furnished by this study being of importance to ethnic restaurant operators (owners) in the operators' effort to develop effective marketing strategies.

This paper examines the determinants of concurrent adoption of farm risk management strategies by rice growers in two different ecosystems of Telangana agriculture-irrigated and rainfed ecosystems.

The primary data have been collected from the rice growers in two different ecosystems, and after checking the variance inflation factor (VIF) for controlling multicollinearity, a multinomial logit model has been used to examine the determinants of concurrent adoption of coping strategies by rice growers.

The study finds that adopting one risk management strategy persuades farmers to embrace other strategies, reducing the risk in agriculture between the two ecosystems. Among the determinants, farmers' age, education, contact with extension services, irrigation sources, livestock income, total farm income, crop loss reasons, and crop insurance awareness significantly influence the adoption of various risk management measures. However, considerable heterogeneity is found among the driving forces across the rice ecosystems.

The major policy implications that can be drawn from the analysis are increased access to information through government-funded extension services and the provision of alternative risk management technologies, such as drought-resistant or flood-resistant seeds, farmers' field schools and increased provision of crop insurance, farmer-friendly agriculture extension services, and farm investment support, are critical for assisting farmers managing risks. In addition, however, there should be ecosystem-specific policies to tackle the ecosystem heterogeneity.

This paper is very timely and entails some relevant policy implications for the development of Indian agriculture.

COVID-19 has had various effects on women’s labour supply worldwide. This study investigates how women’s labour market outcomes in the MENA region have been affected by the stringency of governments’ COVID-19 responses and school closures. We examine whether women, particularly those with children at young age, reduced their labour supply to take care of their families during the pandemic.

To investigate whether having a family results in an extra penalty to women’s labour market outcomes, we compare single women to married women and mothers. Using the ERF COVID-19 MENA Monitor Household Surveys, we analyse the key conditions underlying women’s labour market outcomes: (1) wage earnings and labour market status including remaining formally employed, informally, unpaid or self-employed, unemployed or out of the labour force and (2) becoming permanently terminated, being suspended, seeing a reduction in the hours worked or wages, or seeing a delay in one’s wage payments because of COVID-19. Ordered probit and multinomial logit are employed in the case of categorical outcomes, and linear models for wage earnings.

Women, regardless of whether they have children or not, appear to join the labour market out of necessity to help their families in the times of crisis. Child-caring women who are economically inactive are also more likely to enter the labour market. There is little difference between the negative experiences of women with children and child-free women in regard to their monthly pay reduction or delay, or contract termination, but women with children were more likely to experience reduction in hours worked throughout the pandemic.

These findings may not have causal interpretation facilitating accurate inference. This is because of potential omitted variables such as endogenous motivation of women in different circumstances, latent changes in the division of domestic work between care-giving and other household members, or selective sample attrition.

Our analysis explores the multiple channels in which the pandemic has affected the labour outcomes of MENA-region women. Our findings highlight the challenges that hamper the labour market participation of women, and suggest that public policy should strive to balance the share of unpaid care work between men and women and increase men’s involvement, through measures that support child-bearing age women’s engagement in the private sector during crises, invest in childcare services and support decent job creation for all.