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Ever since hydrocarbon resources were exploited off the coast of Terengganu in 1978, a state in Peninsular Malaysia, its built environment underwent dramatic physical transformation arising from huge investments in first‐grade infrastructure and industrial facilities, largely hydrocarbon‐related in nature. Yet, more than two decades later, the stock and technical competencies of the local contractors have not been to the level one might expect, despite prolonged robust demand that should have acted as an alluring incentive for entrepreneurship. There were, of course, enabling factors such as favorable client and government interventions. However, the inhibitors ‐ economic model, socio‐cultural traits, institution, mix of construction demand and even the recent change in political landscape ‐ were found to exert an even greater influence. The findings of this study underscore the necessity of identifying the influential forces exerting on the construction community's operating environment before any construction entrepreneurial development programme is instituted so that realistic targets can be set. Furthermore, as different regions may possess different types and intensities of such forces, implementing standard policy prescription is likely to yield sub‐national diversity

The resource‐based view (RBV) has been used on various industry studies. To examine the resources required to thrive in the private housing development sector in Malaysia, the RBV was similarly utilised. Using a combination of mailed questionnaires and face‐to‐face interviews, the study identified and ranked fourteen resources by virtue of their ability to exploit opportunities and/or neutralise threats, or in short, value. While the ranking of some of the resources echoe similar past industry studies, others interestingly did not, perhaps due to the unique characteristics of the industry, or even country. New players to the industry can take stock of the findings to maximise their chances of success. The paper ends by recommending that the study be repeated in Malaysia, this time with many more respondent, to confirm the findings. It also proposes that similar studies be conducted in other countries to enable cross‐country comparisons to be made.

Malaysia's open registration system (ORS) scheme, which began in 1997, was established as part of prevention mechanism by the Ministry of Housing and Local Government to plug the leakage in the low-cost housing (LCH) allocation process. After two decades, ineligible persons still secure LCH to the detriment of the Malaysian low-income earners (LIEs) house-buyers/rentals. This paper explored the LCH computerised ORS for LIEs and proffered policy solutions to improve the scheme.

The data were collected via unexplored exploratory sequential mixed methods approach that engaged 25 well-informed participants and the ‘quantilised findings’, validated by the Malaysian LCH policymakers.

This paper found that there is weak compliance to computerised ORS, which is pronounced in states with relaxed eligibility clearance. Also, it was found that under-declaration of income evident in states where there is relaxed verification and lack of data sharing between states and with federal governments, among others, are the root cause of weak compliance to computerised ORS.

This paper is limited to unravelling the encumbrances in the low-cost housing computerised open registration system in Malaysia's major cities. Future research is needed to use relevant information to access the level of enforcement of the computerised open registration system across the states of Malaysia.

This paper recommended that LCH computerised ORS should be devoid of party favouritism, state government should establish functional LCH computerised ORS, and the state and federal governments, should embrace cooperative federalism. Also, applicants should be subjected to the Central Credit Reference Information System check, and culprits should be referred to the Malaysian Anti-Corruption Commission. This paper provides salutary lessons on how to improve the scheme with a view to achieving the Sustainable Development Goals regarding housing in 2030.

This paper demonstrates that the low-cost housing computerised open registration system in Malaysia is yet to be implemented across the states.

The study aims to analyze the role of coronavirus testing capacity to possibly reduce the case fatality ratio (CFR) in a large cross-section of countries. The study controlled health-care expenditures, logistics performance index (LPI), carbon damages, and corporate social responsibility (CSR) to understand the nature of causation between the CFR and stated factors.

The study used a cross-sectional regression apparatus for coefficient estimates and variance decomposition analysis (VDA) for forecasting relationships between the variables over time.

The results confirmed the W-shaped relationship between CFR and case-to-test ratio (CTR) in the presence of a LPI that exacerbates the CFR cases across countries. The VDA estimates suggest that carbon damages, logistics activities, and CSR are likely to influence CFR over time.

To the best of the authors’ knowledge, the study is believed to be the first study that assesses the W-shaped relationship between the CFR and CTR in the presence of dynamic variables, which helps to formulate long-term sustainable health-care policies worldwide.

The objective of this paper is threefold. First, it aims to empirically study whether firm-specific/idiosyncratic uncertainty, macroeconomic/aggregate uncertainty and political uncertainty have an adverse influence on firms' investment decisions in Pakistan. After establishing this, it scrutinizes whether the uncertainty effects on investment are different for firms of different sizes. Finally, it investigates whether any heterogeneity exists in the uncertainty impacts across different industries.

The empirical analysis is based on an unbalanced panel data of 468 nonfinancial firms listed at the Pakistan Stock Exchange (PSX) during the period 2000–2018. Departing from the literature, the paper builds a time-varying composite volatility/uncertainty index based on the principal component analysis (PCA) by utilizing the constructed volatility series for sales, cash flows and return on assets to gauge firm-specific uncertainty for each firm included in the analysis. Likewise, the paper develops a PCA-based composite index for macroeconomic uncertainty by using the conditional variance series of consumer price index (CPI), industrial production index (IPI), the interest rate and the exchange rate obtained by estimating the (generalized) autoregressive conditional heteroscedastic, (G)ARCH, models. Finally, political uncertainty is measured by political risk components maintained by the Political Risk Services Group. The empirical framework of the paper augments the standard investment equation by incorporating all three types of uncertainty. Firms are grouped into small, medium and large categories based on firms' total assets and the size indicators are generated. Next, the indicators are multiplied by each uncertainty measure to quantify the differential effects of uncertainty across firm size. Firms are also differentiated by sectors to explore the sector-based asymmetries in the uncertainty effects. The “robust two-step system generalized method of moments (2SYS GMM) (dynamic panel data) estimator” is applied to estimate the empirical models.

The results provide robust and strong evidence of the detrimental influence of all three types of uncertainty on investment. Yet, it is observed that the strength of the influence considerably varies across uncertainty types. In particular, compared to firm-specific uncertainty, both macroeconomic and political uncertainties have more unfavorable effects. The analysis also reveals that the effects of all three types of uncertainty are quite different at small, medium and large firms. Specifically, it is observed that although the investment of all firms is influenced adversely by magnified uncertainty, the adverse effects of all three kinds of uncertainty are quite stronger at small firms than medium and large firms. These findings support the phenomenon of size-based asymmetries in the effects of uncertainty on investment. The results also provide evidence that either type of uncertainty quite differently affects the investment policy of firms in different sectors.

The findings help different stakeholders to know how different types of uncertainty differently affect corporate firms' investments. Further, they suggest that firm size has a vital role in ascertaining the adverse effects of uncertainty on investment. The paper identifies to which type of uncertainty investors and policymakers should care more about and to which types of firms and industries they should concern more during volatile times. Firms should have more fixed assets and expand their size to mitigate the detrimental effects on investment of internal and external uncertainties. The government should enhance the political stability to induce firms for a higher level of investment, which, in turn, will result in higher growth of the economy.

The originality of the paper is credited to four aspects. First, unlike most previous studies that have utilized a single volatility measure, this paper constructs composite uncertainty indices based on the weights determined by the PCA. Second, it examines the effect of political uncertainty over and above the effects of idiosyncratic and aggregate (macroeconomic uncertainty) for an emerging economy. Third, and most important, it provides first-hand empirical evidence on the role of firm size in establishing the asymmetric effects of uncertainty on investment. Finally, it provides evidence on the industry-based heterogeneity in the uncertainty effects.

This study aimed at exploring the differential effects of different corporate governance (CG) indicators on risk management practices in Islamic financial institutions (IFIs) and conventional financial institutions (CFIs) of Pakistan. It also investigated the moderating role of institutional quality (IQ) in shaping the effects of CG practices on financial institutions of Pakistan.

A sample of 57 financial institutions including commercial banks, insurance companies and Modarba companies over the period 2006–2017 is used to carry out the empirical analysis. The authors applied the robust two-step system-generalized method of moments estimator, which is also called the dynamic panel data estimator. They also built the PCA-based composite index of CG and IQ by using different indicators to investigate the moderating role of IQ. They used three proxies for risk taking, five for CG and one for Shari’ah governance. To test the validity of the instruments, they applied the Arellano and Bond’s (1991) AR (1) and AR (2) tests and the J-statistic of Hansen (1982).

The results provided strong evidence that several individual characteristics of CG and the composite index are significantly related to the operational risk, the liquidity risk and the Z-score (a proxy for solvency risk). The results also revealed that IQ significantly and substantially contributes in reducing the level of risks. Finally, the estimation results indicated that the effects of CG on risk management are significantly different at IFIs and CFIs. This differential impact is mainly attributed to the fundamental differences in business models, operational strategies and contractual obligations of both types of institutions.

The findings of this study are important for enhancing our understanding of how CG relates to risk taking in Islamic and conventional financial services industries and how good quality institutions are important for formulating the governance effects on the risk-taking behavior of financial institutions. The findings suggest that a suitable size of board should be chosen to manage the risk effectively. As the findings show that the risk-taking behavior of IFIs differs from that of CFIs, the regulators and international standard setting bodies should tailor the regulatory frameworks accordingly.

This paper is different from the existing studies in four aspects. First, to the best of the authors’ knowledge, this is the first empirical investigation in Pakistan, which does the comparison of IFIs and CFIs while examining the impacts of CG on risk management. Second, the paper constructs the composite index of CG by considering several different indicators of governance and examines the combined effect of governance indicators on risk management process. Third, this paper adds to the growing literature on the role of IQ by investigating whether it acts as a moderator between CG structures and risk management and if yes, then whether this moderating role is different for IFIs and CFIs. Finally, the paper builds upon the existing research work on the CG effects for different types of financial institutions by proposing a single regression based analytical framework for comparing the effects across two different types of institutions, harvesting the benefits of higher degrees of freedom and avoiding/minimizing the measurement error.

Studies showed that policy influences housing provision. The review of these policies in the Southeast Asia's is possibly not yet adequate because of recent gap in housing demand-supply across the region. This review evaluates the state policy in low-cost housing (LCH) provision in Southeast Asian developing countries reported in published studies.

An electronic search (ScienceDirect, Scopus, Web of Science, and Google Scholar) was conducted using the following search terms: “Low-Cost Housing policy in Southeast Asia.” Reference list of identified studies was scanned to identify more studies. Studies published between 1991 and 2020 that focused either on the region or country within the region were selected. An independent reviewer extracted data from the studies using a standardised form and 27 studies were included in this review.

LCH developing countries experience, encumbrances and measures to mitigate LCH demand-supply gap in Southeast Asia were the issues addressed from the reviewed. Findings from the studies indicate that the level of lax state policy and enforcement of LCH varies across nations.

Findings and recommendations of this paper were based on systematically reviewed literature but does not compromise the robustness regarding state policy in low-cost housing provision in Southeast Asian developing countries. Thus, exploratory sequential mixed methods approach has been recommended as part of the implications for future research.

As part of the practical implications, this paper highlights the mechanism behind the success of Singapore LCH policy and transferability of the model to the developing countries within and outside the region, and open up the possibility to adopt these policies.

This study is probably the first systematic review on low-cost housing in Southeast Asia.

This paper aims to investigate whether negative and positive monetary policy (MP) shocks have asymmetric impacts on corporate firms’ investment decisions in Pakistan using firm-level panel data set. Moreover, the authors emphasized on symmetric effects of MP; the authors examine whether high-leverage and low-leverage firms respond differently to negative and positive unanticipated shocks in MP instruments.

In contrast to the conventional framework of VAR, it uses an alternative methodology of Taylor rule to estimate unanticipated MP shocks. The two-step system-generalized method of movement (GMM) estimation method is applied to examine the effect of MP shocks on firm investment through leverage-based asymmetry.

The two-step system-GMM estimation results indicate that unanticipated negative changes (unfavorable shocks) in MP instruments have negative, significant effects on investment. In contrast, unanticipated positive changes (favorable shocks) have statistically insignificant impacts on firm investment. The results also reveal that firm leverage has a significant role in establishing the effect of unanticipated negative changes in MP instruments on investments. Finally, the results indicate that high-leverage firms respond more to negative changes than low-leverage firms. Yet, the results show that only low-leverage firms positively respond to unanticipated positive shocks in MP.

The findings of the paper suggest that MP authorities should pay due attention to the asymmetric effects of MP shocks on firm investment while designing MP. Because firm leverage has a significant influence on the effects of MP shocks, firm managers should take into account such role of leverage while deciding capital structure of their firms.

First, unlike “Keynesian asymmetry” and most of published empirical research work, the authors use both unanticipated negative and positive MP shocks simultaneously. Departing from the conventional empirical literature, the authors differentiate between unanticipated positive and negative shocks in MP using the backward-looking Taylor rule. Second, the authors contribute to the existing literature by investigating the differential effects of positive and negative unanticipated MP shocks on firms’ investment decisions. Unlike the published studies that have emphasized on the symmetric effects of MP, the authors examine whether high-leverage and low-leverage firms respond differently to negative and positive unanticipated shocks in MP instruments.

The purpose of this paper is twofold. First, based on the value optimization problem of the firm, the authors proposed a theoretical model for firms’ investment decisions, which incorporates the effects of both idiosyncratic (firm specific) and macroeconomic uncertainty/risk. Second, the authors empirically estimate the proposed model for Pakistan.

The authors utilize an unbalanced firm-level panel data covering the period 1988-2013. To generate time-variant firm-specific uncertainty, the authors estimate the autoregressive model on firm sales for each firm included in the sample over the examined period. Firm-specific risk is also measured based on the square of the residuals of firms’ sales. Two measures of macroeconomic uncertainty are computed using the conditional variance obtained by estimating the ARCH model for consumer price index and industrial production index. Several alternative measures of both types of uncertainties are used to ensure the robustness of uncertainty effects. To mitigate the problem of endogeneity, the robust two-step system-generalized method of moments estimator is used to estimate the empirical model.

The results indicate that firms are likely to cut down their level of investment spending when either type of uncertainty increases. The results also reveal that the sensitivity of firms’ investment decisions to macroeconomic (aggregate) uncertainty is higher as compared to the firm-specific uncertainty. The authors show that these findings are robust to different uncertainty measures used in the analysis. The results related to firm characteristics suggest that the firm-specific variables namely the debt to assets ratio, the costs of debt to assets ratio, and the sales to assets ratio are also equally important in the determination of investment decisions of corporate manufacturing firms.

The empirical findings of the paper are useful for firm managers, investors, and government authority. Specifically, the results help firm managers and investors to understand how firm-specific and macroeconomic uncertainty affects firms’ investment decisions. The finding that firms cut their investment spending in times of macroeconomic instability implies that declines in firms’ investment spending during the periods of macroeconomic turmoil may delay the process of recovery. Therefore, the policy makers should design such policies that encourage firms to invest more in economic crisis periods, which, in turn, would enhance the growth of the economy and help to overcome the problem of downturn/recession.

The authors first propose a theoretical model for firms’ investment decisions based on the value optimization problem of the firm by incorporating the role of both firm-specific and macroeconomic uncertainty. Next, unlike most of previous studies, they estimate the proposed model for non-financial firms operating in Pakistan. The authors predict that a higher exposure to both idiosyncratic and macroeconomic uncertainties leads to lower investment in Pakistani manufacturing firms. Further, the authors hypothesize that both types of uncertainties have differential effects on firms’ investment decisions.

This paper first examines how changes in the real effective exchange rate and its volatility affect the exporting activities of firms. Next, it investigates whether exchange rate volatility (EXRV) affects the export behavior of financially constrained and unconstrained firms differently. Finally, it examines the role of financial development in mitigating the effects of EXRV and financial constraints on firms' exports.

The empirical analysis of the paper is based on a wide panel of Pakistani nonfinancial firms listed at the Pakistan Stock Exchange during the period 2001–2016. To mitigate the problem of endogeneity and to take into account the dynamic nature of the empirical model, the authors apply the robust two-step system-GMM estimator developed by Blundell and Bond (1998). To examine the role of credit constraints, firm-year observations are sorted as financially constrained and unconstrained based on the median value of three alternative measures: the liquidity ratio, the dividend payout ratio and the Whited and Wu (WW) index.

The results reveal that an increase in the real effective exchange rate has a positive and significant impact on firms' exports. However, the results show that the EXRV is significantly and negatively related to exporting decisions, suggesting firms considerably decrease their exports during periods of increased unpredictable variations in exchange rates. The findings also suggest that compared to financially constrained firms, the adverse effect of EXRV on exports is weaker for financially unconstrained firms. This finding implies that firm-level financial constraints unfavorably impact exports by making exporting more sensitive to the EXRV. Finally, the findings indicate that financial development not only positively affects firms' exports but also plays a vital role in declining the adverse effects of EXRV on firm-level exports. Specifically, the results show that financial development decreases the negative impact of EXRV on exports for both financially constrained and unconstrained firms. However, the moderating role of financial sector development is higher for financially unconstrained firms.

Notwithstanding that the authors present robust and strong empirical evidence of the effects of EXRV on exporting and on the role of both firm-level financial constraints and financial sector development in formulating these effects, there are some limitations of the study. The authors use a single proxy for measuring financial sector development. However, one may construct an index for the financial sector developed using principal component analysis (PCA) by considering different measures of financial development. The authors use three different measures of financial constraints. Nonetheless, more sophisticated techniques such as switching regression can be used to endogenously determine whether firms are financially constrained. Moreover, an examination of the asymmetric effects of EXRV on exporting across different industries would also be worthwhile.

From a policy point of view, the results suggest that the development of the financial sector and the strategies to lessen credit constraints faced by firms will help in mitigating the adverse effects of the EXRV on the exporting behavior of firms in Pakistan. The findings also suggest that managers in financially constrained firms should apply appropriate hedging strategies to hedge exchange rate risks. Finally, the findings suggest that investors should take into consideration exchange rate dynamics and firms' financial constraints while investing in exporting firms' stocks.

Since the findings suggest that financially constrained firms' exports are more exposed to EXRV, managers of such exporting firms are suggested to apply effective and suitable currency risk-minimizing hedging instruments for enhancing their exports. The government should also implement economic and financial policies in such a way that they should help in reducing volatilities of exchange rates and in turn, encouraging firms to export more. Definitely, any policy, at both government and firm level, favoring exporting and export-oriented growth will not only help in overcoming the problem of a persistent and wide trade deficit but also help society by providing more employment and investment opportunities.

Recently, Pakistan has experienced significant declines in foreign reserves, persistent political unrest and enlarged trade deficits. All these have increased the uncertainty about the exchange rate. Therefore, it is valuable to know the EXRV effects on firms' exporting activities. Second, Pakistani firms face more financial constraints, and thus, the influence of financial constraints in formulating the volatility effects on exporting would be worth exploring. Finally, no research has yet taken place to scrutinize the role of financial development in mitigating the adverse effects of EXRV and financial constraints on exporting activities. This paper provides firsthand empirical evidence on the role of financial constraints and financial sector development in formulating the EXRV impacts on firm-level exports in Pakistan.