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This study aims to study the sensitivity of nonlisted real estate investment companies’ accounting earnings to house prices. This study evaluates whether house price changes determined these companies’ return on equity (ROE) or if other factors influenced the industry’s profitability beyond house price growth.

The authors collected a ten-year sample with the aggregate ROE of Portugal’s real estate investment companies, split by regions, and data on house prices and the per capita gross domestic product as a control variable. The authors ran a national-level time series with the canonical cointegrating regression estimator, which is robust to a small sample size; the authors also performed a regression on regional-level panel data with the common correlated effects mean group estimator, thus allowing slope coefficient heterogeneity and controlling for cross-sectional dependence. The authors also ran ordinary least squares regressions as a means of comparison.

This study found that an increase in the house price is not translated into an increase in the aggregate ROE. The results are robust with a reduced survivorship-biased sample, meaning that even the best-succeeded real estate investment companies do not have their accounting ROE dependent on house price growth.

The sample size is small and specific to one country. This paper did not study the housing market structure to verify whether it operates under monopolistic competition, which could further explain the attained results.

Policy decision-makers should know that there are no excess profits in the real estate investment companies’ industry because of house price growth that could be subject to windfall taxes.

To the best of the authors’ knowledge, the connections between house prices and real estate investment companies’ accounting earnings have never been studied.

This chapter develops robust panel estimation in the form of trimmed mean group estimation for potentially heterogenous panel regression models. It trims outlying individuals of which the sample variances of regressors are either extremely small or large. The limiting distribution of the trimmed estimator can be obtained in a similar way to the standard mean group (MG) estimator, provided the random coefficients are conditionally homoskedastic. The authors consider two trimming methods. The first one is based on the order statistic of the sample variance of each regressor. The second one is based on the Mahalanobis depth of the sample variances of regressors. The authors apply them to the MG estimation of the two-way fixed effects model with potentially heterogeneous slope parameters and to the common correlated effects regression, and the authors derive limiting distribution of each estimator. As an empirical illustration, the authors consider the effect of police on property crime rates using the US state-level panel data.

Amongst the major concerns of sub-Sahara Africa are the rising external debt and poor performances in governance. This paper aims to lend a voice to the relevance of governance on the relationship between external debt and economic growth in selected five sub-Saharan African (SSA) countries.

Using available data from the World Governance and Development Indicators, between 1996 and 2016, the study uses the fully-modified OLS technique after establishing the absence of unit root and existence of long-run relationship amongst the variables of the model.

The findings confirm a non-linear relationship between external debt and economic with a positive net effect of $5.05 increase in economic performance for a US$ rise in external debt. While the index of governance depicts a negative association with economic growth, the indicators show mixed results. The interaction effect of external debt and governance on economic performance explain that improved governance quality reduces its negative effect on economic performance by US$1.288 (with a total effect of –4.180 + 1.288*EXDBT); it equally enhances the (net) positive impact of external debt by US$1.288 (with a total effect 5.05 + 1.288*IQ).

The governments of the selected countries are, therefore, advised to seek other means of financing their expenditure while curbing financial mismanagement and its long-term impacts on growth. Also, governance infrastructures should be improved to restore both domestic and foreign investors’ confidence so that more private capitals may be attracted in lieu of excessive borrowings.

The research is the first to comprehensively examine the nexus between external debt, governance and economic growth in the selected countries, given their external debt position in SSA. This includes examining the impacts of each of the governance indicators and the comprehensive index of governance on growth. Furthermore, the study adds to the literature by examining the interaction effects of external debt and governance on economic growth of these countries. This gives both the partial and total estimates of the effects of external debt and governance on economic growth in the countries under consideration.

The objective of this chapter is to introduce the reader to Spatial Health Econometrics (SHE). In both micro and macro health economics there are phenomena that are characterised by a strong spatial dimension, from hospitals engaging in local competitions in the delivery of health care services, to the regional concentration of health risk factors and needs. SHE allows health economists to incorporate these spatial effects using simple econometric models that take into account these spillover effects. This improves our understanding of issues such as hospital quality, efficiency and productivity and the sustainability of health expenditure of regional and national health care systems, to mention a few.

This study attempts to explore the determinants of tourism demand that impact tourist arrivals in Australia from Asia using an augmented panel gravity model.

The augmented panel gravity model was utilised to analyse the demand for Australian tourism from 15 major countries of Asia over the period 1991 to 2018. Tourist arrivals were the dependent variable while per capita gross domestic product (GDP) and weighted distance were important explanatory variables. Further other indicators like population, money supply, globalisation, price index, exchange rate, uncertainty and two dummy variables were added as control variables.

The results demonstrate based on the novel methodology of Pesaran (2006), namely CCE (common correlated effects) that tourist arrivals are impacted positively and significantly by per capita GDP of both the country of origin and destination country, globalisation also impacts tourist flows positively. However, tourist arrivals are adversely affected by distance and prices confirming the economic theory.

Gravity models have been intensively used in the recent literature on tourism; however, this study has attempted to explore tourism demand from Asia into Australia which is indeed an unexplored area further the study has used the CCE methodology which takes care of the problems of cross-sectional dependence unlike the earlier methods widely used in the literature like the DOLS and the FMOLS. Last by utilising a wide-ranging set of macro factors the study contributes a novel assessment to the recent literature on tourism demand model.

The purpose of this paper is to provide a survey of the empirical literature on environmental Kuznets curve (EKC) estimation of carbon dioxide (CO₂) emissions over the period of 1991–2017.

This survey categorizes the studies on the basis of power of income in empirical models of EKC. It has been hypothesized that the EKC shows an inverted U-shaped association between economic growth and CO₂ emissions.

For all the contexts, the results of EKC estimation for CO₂ emissions are inconclusive in nature. The reasons behind this discrepancy can be attributed to the choice of contexts, time period, explanatory variables, and methodological adaptation.

The future studies in this context should not only consider new set of variables (e.g. corruption index, social indicators, political scenario, energy research and development expenditures, foreign capital inflows, happiness, population education structure, public investment toward alternate energy exploration, etc.), but also the data set should be refined, so that the EKC estimation issues raised by Stern (2004) can be addressed.

By far, no study in the literature of ecological economics has focused on the empirical estimation of EKC for CO₂ emissions. This particular context has been used for this study, as CO₂ is one of the highest studied pollutants in the ecological economics, and especially within the EKC hypothesis framework.

This paper aims to focus on the absence of a direct criterion for the ideal level of net working capital (NWC) for which Acikgoz (2014) theoretically demonstrates that this NWC can be treated in a manner that allows the assessment of repayments. The study presents and discusses a new multiplier (i.e. the afa coefficient), defined as the ratio of cash equivalents ratio to NWC, measured as the percentage of short-term liabilities (Acikgoz, 2014). In other words, the study explores whether NWC could be an indicator of the ratios of corporate short-term bank credit to STL and of bank credit to total assets.

Sectoral panel regressions are used in the case of Turkey, spanning the period 1996-2013, on data obtained from the Central Bank of Turkey. Through second-generation panel unit root tests for cross-section dependence and panel cointegration methodologies, the results illustrate the statistical significance of the CD statistics, indicating the presence of cross dependence, the presence of non-stationary variables and the presence of a long-run association for the variables under study.

The findings document that a transformed variable of NWC is more substantive than the explicatory quality of the current ratio and may potentially be used in the prediction of bank credit in corporate liabilities.

The afa coefficient shows the ratio of liquid assets to NWC as a percentage of STL. The results illustrate that this coefficient plays a significant role for corporate bank credit usage in the case of the Turkish sectoral analysis.