Do Big-Four affiliates earn audit fee premiums in emerging markets?

The paper investigates whether Big-Four affiliated (B4A) firms earn audit premiums in an emerging economy context, using Bangladesh as a case. The joint determination of audit and non-audit service fees is also examined using a sample of 122 companies listed in the Dhaka Stock Exchange. Our findings reveal that although the B4A firms do not generally earn a fee premium in Bangladesh, they charge higher audit fees for clients not purchasing non-audit services. This suggests that the B4A firms may actually lower audit fees to attract non-audit services, and cross subsidizes audit fees through non-audit-services fees. The lack of a B4A premium implies that there is lack of quality audit in emerging markets. We also document that audit and non-audit service fees are jointly determined in Bangladesh. Thus, we provide evidence of joint determination of audit and non-audit service fees in an emerging economy context.     

Consumer credit and monetary policy in Malaysia

What is the impact of monetary policy on the Malaysian consumer? The study addresses this issue by empirically investigating the consequences of interest rate shocks on consumer credit in Malaysia. The study relies on the impulse response functions and the variance decomposition analysis based on the structural Vector Auto‐regression methodology. Apart from analysing the responses of aggregate consumer loans (ACL) to interest rate changes, further disaggregation is made in efforts to arrive at more detailed findings. In particular, the ACL data are categorized into loans for purchase of residential property, loans for personal uses, loans for credit cards, loans for purchase of consumer durables, loans for purchase of passenger cars and loans for purchase of securities. Through this disaggregation, the study shows the relative sensitivity of the various types of consumer loans to interest rate shocks.     

Economic uncertainty and growth performance: a macroeconomic modeling analysis for Pakistan

This paper investigates the effects of economic uncertainty on growth performance of Pakistan through developing a small macroeconomic model. The GARCH method has been used for construction of economic uncertainty variables related to macroeconomic policies. The structural outcomes clearly indicate that economic policy uncertainty affects negatively on real and nominal sectors of Pakistan. The forecasting of model and different policy uncertainty simulation shocks also indicated that an adjustment in economic policies due to change of policy objectives create uncertain environment in country, which not only deteriorates the investment climate of country, it also affects the economic growth. Our study concludes that economic uncertainty not only reduces the current investment and economic growth, it also affects the future decision of investment and economic growth. This study suggests that sustainable and steady economic policies always reduce economic uncertainty and promote the confidence of economic agents, which help in achieving the targets of investment, trade and economic growth. Our study also maintains the predictability and reliability of government policies for the accomplishment of macroeconomic goals and economic development of country.     

Is Trade Liberalisation Pro-Poor in Pakistan? Evidence from Large-Scale Manufacturing

This article aims to analyse the impact of industry-level trade liberalisation (measured through industry-specific tariff rates) on poverty in Pakistan. Combining data for tariff rates with the Labour Force Survey of Pakistan, we use quantile regression analysis to estimate the impact of changes in tariff rates on workers’ wages (associated with the manufacturing sector of Pakistan) that are at different points of the income distribution. Our findings meaningfully signal that trade liberalisation helps to reduce poverty in the economy. Based on these results, this study provides policy recommendations to reap maximum benefits from trade liberalisation.     

Similarity of differential information with subjective prior beliefs

We present a complete, separable and metrizable topology on the product space of information and (subjective) beliefs. Such a topology formalizes similarity of differential information without the assumption of a common prior, but under the assumption that objectively impossible events are considered impossible by subjective beliefs. As an application to the theory of the consumer, we provide results on the continuity of expected utility and demand functions. We also provide continuity results for the value of information and the insurance premium as defined in the literature.     

Terrorist economic impact evaluation (TEIE) model: the case of Pakistan

Quality & Quantity - The terrorist economic impact evaluation (TEIE) model is a new model to evaluate the intensity of terrorism to measure the economic cost in a state (province) of any...     

Prospect of off-seasonal vegetable production in Bangladesh: a socioeconomic diagnosis

Quality & Quantity - The research work was conducted to estimate comparative profitability, seasonal price variations, and factors affecting the farmers’ decision in the adoption of...     

Productivity impacts of infrastructure development in Asia

This study investigates the impact of infrastructure capital on total factor productivity in selected Asian countries. The scope of the assessment is broadened by exploring the effect of infrastructure development on sectoral differences in total factor productivity. The study calculated the total factor productivity over the period 2006–2016 for 16 manufacturing industries in 19 Asian countries. Further, the impact of lagged infrastructure and endowment is also explored with an eye toward improving different infrastructural measures. The empirical findings show that lagged infrastructure and endowment exert a positive and significant impact on infrastructural improvement. The impact of telecommunications, road, and power infrastructure on sectoral productivity is investigated by applying the fully modified ordinary least squares estimation technique to control the endogeneity problem associated with infrastructure provision. Overall, the empirical findings show that infrastructure provision, particularly the provision of telecommunications and power, is an important factor for explaining patterns of comparative advantage, whereas the provision of roads is important to explain patterns of absolute advantage. The results further indicate that road infrastructure is more important for low technology-intensive industries, while power infrastructure is crucial for high technology-intensive industries.