The Perception on Food Quality among Urban People

Contaminated and unhygienic food intake is a major problem in the urban cities of Bangladesh. This raises a serious concern for health of the urban citizens. The research investigates into the attitude of the urban educated people on their awareness of food safety. The findings of the study suggest a high degree of awareness amongst respondents of the attitudinal survey. People with higher educational background show higher degree of awareness of how the quality of food should be maintained. A lack of confidence on the functions of government regulatory agency in testing the food standard is also reflected in the study.

Does Corruption Lead to Welfare Loss? An Empirical Evidence From Real Estate Sector of Bangladesh

Regulation may give rise to corrupt practices thereby resulting in welfare loss in an economy. This research aims at measuring the impact of corruption on the real estate sector of Dhaka city, the capital of Bangladesh. It makes an attempt to measure the welfare loss resulting from corrupt practices exercised mainly by government regulatory agencies. Bribe and extortion fee are the two main indicators whereby welfare loss is measured. Evidence from the study reveals that around 8 floors are lost due to payment of bribe and other such payments

Re-Visiting Financial Development and Economic Growth Nexus: The Role of Capitalization in Bangladesh

This paper revisits the relationship between financial development and economic growth in Bangladesh by incorporating trade openness in production function using quarter frequency data over the period of 1976-2012. We applied combined Bayer-Hanck cointegration to examine cointegration amongst variables in the presence of structural breaks. The results show that financial development facilitates economic growth but capitalization impedes it. In addition, trade openness stimulates economic growth. Labour is also positively linked with economic growth. The causality analysis reveals the feedback effect between financial development and economic growth. Trade and labour Granger cause economic growth. This paper provides new insights for policy making authorities to use financial development and trade openness as tool to sustain economic growth in long run. This paper also suggests policy makers to utilise capitalization in proper way to sustain economic growth for long run

Re-Visiting Financial Development and Economic Growth Nexus: The Role of Capitalization in Bangladesh

This paper revisits the relationship between financial development and economic growth in Bangladesh by incorporating trade openness in production function using quarter frequency data over the period of 1976-2012. We applied combined Bayer-Hanck cointegration to examine cointegration amongst variables in the presence of structural breaks. The results show that financial development facilitates economic growth but capitalization impedes it. In addition, trade openness stimulates economic growth. Labour is also positively linked with economic growth. The causality analysis reveals the feedback effect between financial development and economic growth. Trade and labour Granger cause economic growth. This paper provides new insights for policy making authorities to use financial development and trade openness as tool to sustain economic growth in long run. This paper also suggests policy makers to utilise capitalization in proper way to sustain economic growth for long run

How Urbanization Affects CO2 Emissions in Malaysia? The Application of STIRPAT Model

We investigate the impact of urbanisation on CO2 emissions by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in the case of Malaysia over the period of 1970Q1-2011Q4. Empirically, after testing the integrating properties of the variables using unit root test, we applied the Bayer-Hanck combined cointegration approach to examine the cointegration relationship between the variables. Further, we tested the robustness of long-run relationship in the presence of structural breaks using ARDL bounds testing approach. The causal relationship between the variables is investigated by applying the VECM Granger causality test. Our results validate the existence of cointegration in the presence of structural breaks. The empirical results exposed that economic growth is a major contributor to CO2 emissions. Besides, energy consumption raises emissions intensity and capital stock boosts energy consumption. Trade openness leads affluence and hence increases CO2 emissions. More importantly, we find that the relationship between urbanisation and CO2 emissions is U-shaped i.e. urbanisation initially reduces CO2 emissions, but after a threshold level, it increases CO2 emissions. The causality analysis suggests that the urbanization Granger causes CO2 emissions

How Urbanization Affects CO2 Emissions in Malaysia? The Application of STIRPAT Model

We investigate the impact of urbanisation on CO2 emissions by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in the case of Malaysia over the period of 1970Q1-2011Q4. Empirically, after testing the integrating properties of the variables using unit root test, we applied the Bayer-Hanck combined cointegration approach to examine the cointegration relationship between the variables. Further, we tested the robustness of long-run relationship in the presence of structural breaks using ARDL bounds testing approach. The causal relationship between the variables is investigated by applying the VECM Granger causality test. Our results validate the existence of cointegration in the presence of structural breaks. The empirical results exposed that economic growth is a major contributor to CO2 emissions. Besides, energy consumption raises emissions intensity and capital stock boosts energy consumption. Trade openness leads affluence and hence increases CO2 emissions. More importantly, we find that the relationship between urbanisation and CO2 emissions is U-shaped i.e. urbanisation initially reduces CO2 emissions, but after a threshold level, it increases CO2 emissions. The causality analysis suggests that the urbanization Granger causes CO2 emissions

Understanding the Relationship between Inflation and Growth: A Wavelet Transformation Approach in the Case of Bangladesh

International audienc

On the predictability of crude oil market : a hybrid multiscale wavelet approach

First published online: 25 November 2019Past research indicates that forecasting is important in understanding price dynamics across assets. We explore the potentiality of multiscale forecasting in the crude oil market by employing a wavelet multiscale analysis on returns and volatilities of Brent and West Texas Intermediate crude oil indices between January 1, 2001, and May 1, 2015. The analysis is based on a shift-invariant discrete wavelet transform, augmented by an entropy-based methodology for determining the optimal timescale decomposition under different market regimes. The empirical results show that the five-step-ahead wavelet forecast that is based on volatilities outperforms the random walk forecast, relative to the wavelet forecast that is based on returns. Optimal wavelet causality forecasting for returns is suggested across all frequencies (i.e., daily-yearly), whereas for volatilities it is suggested only up to quarterly frequencies. These results may have important implications for market efficiency and predictability of prices on the crude oil markets