GDP Of Bangladesh Research Articles

Exploring the Linkage between Temperature and Economic Growth in Bangladesh: An ARDL Approach

This study is investigated the nexus between temperature and GDP in Bangladesh and how GDP is affected by carbon emission, rainfall and temperature. The ARDL bound test is employed to examine the cointegration relationship among the variables and findings suggest that variables are cointegrated in both cases of dependent variable temperature and dependent variable of GDP. Results mirror that economic growth affect negatively the temperature and statistically significant for short run and long run. On the other hand, carbon emission and rainfall have statistically significant short run positive impact on GDP growth. The ECM result indicates the equilibrium converges to steady state at 78% annually when dependent variable is temperature and equilibrium also converges to steady state at 0.0891% annually, when dependent variable is GDP. Granger Causality test finds a one-way causal relationship between GDP and carbon emissions in both situation of the different dependent variables. Aftermath, results would say that carbon emission and rainfall have short run salutary impact on economic growth and the economic growth is conducive to reduce temperature in Bangladesh that moves to sustainable development. It might address underlying economic transitions such as shifts to greener industries or government interventions that promote sustainability. It will help researcher and policymakers for further study to identify environmental friendly growth projects that lead to reduce temperature in Bangladesh.

The elasticity of taxes to GDP in Bangladesh: Implications for policy

The elasticity of taxes to GDP in Bangladesh: Implications for policy

An Auto Regressive Distributed Lag (ARDL) Approach to Understanding the Impact of Agriculture, Industry, and the Service Sector on GDP in Bangladesh

The agriculture, industry, and service sectors are the three main sectors of Bangladesh's economy. Using the ARDL model, this study experimentally investigated the short-term and long-term effects of these three sectors on Bangladesh's GDP from 2005 to 2022. This study based on secondary data collected from World Development Indicator, World Bank. The intended results have been determined by applying a variety of econometric time series analysis techniques, such as the Augmented Dickey-Fuller test, the Autoregressive Distributed Lag (ARDL) bound test and the Granger Causality test. The Augmented Dickey-Fuller test has assured that neither series is integrated at level two. The outcome of the F-bounds test confirmed that the existence of a long-run relationship among the examined variables. The short-run and long-run coefficient revealed that there exists a positive impact of the agriculture, industry and service sector on GDP in Bangladesh. The long-run result shows that a 1% increase in agriculture sector increases the GDP by about of 0.173%, a 1% increase in industry sector increases the GDP by about 0.294%, and a 1% increase in service sector increases the GDP by about 0.533%. The short-run result shows that a 1% increase in agriculture sector increases the GDP by about 0.204248%, a 1% increase in industry sector increases the GDP by about 0.348179% and a 1% increase in service sector increases the GDP by about 0.631402%. The result of Granger Causality test shows that service sector and GDP Granger cause bi-directionally. All the outcomes are theoretically consistent and the policy recommendation are made based on our findings.

Analyzing the impact of remittance, FDI and inflation rate on GDP: A comparative study of Bangladesh, Pakistan and Sri-Lanka using VAR and BEKK-GARCH approach

This study examines the impact, conditional correlation and volatility spillover effect of remittances, foreign direct investment and inflation rate on GDP in Bangladesh, Pakistan, and Sri-Lanka, three Asian nations that are particularly vulnerable. While numerous studies have examined the relationship between remittances, FDI and IR on GDP but this paper approaches advanced econometric techniques to capture spillover effect and the dynamic interactions between the variables. For estimation purposes the study employs different econometric techniques such as Augmented Dickey-Fuller (ADF) test, VAR model, Granger causality tests, Impulse Response function, Variance Decomposition and BEKK-GARCH model. Bangladesh and Sri Lanka's REM, FDI and IR have no significant effects on GDP according to the VAR model. BEKK-GARCH demonstrates that three countries have both unidirectional and bidirectional transmissions of volatility, with the exception of Pakistan's REM and Bangladesh's FDI. We find that VAR model may not be adequate in capturing the complex dynamics between variables, which can be better captured by BEKK-GARCH model. Our comparison research shows how these variables affect GDP differently and similarly in each of the three nations, giving policymakers information they can use to create customized policies that encourage economic growth.

Do Foreign Grants and Capital Formation Indeed Impact Economic Growth? An Empirical Evidence from Bangladesh

The paper examined how the growth of the foreign grants and the growth of gross fixed capital formation impact the growth of GDP in Bangladesh. We studied the relationships between those variables for a period spanning between 1983 and 2017. The Johansen cointegration test indicated that there is a long-run relationship between the variables. Therefore, by employing a vector error correction model (VECM), we found that previous year’s divergence between the variables adjusted by 69% in the following year. The study also found that both foreign grants, and the gross fixed capital formation had a positive impact on GDP growth in Bangladesh.

First Evidence of Fowl Adenovirus Induced Inclusion Body Hepatitis in Chicken in Bangladesh.

The livestock sector contributes 1.90% to the GDP in Bangladesh during 2021-22. Poultry is one of the important subsectors struggling with diseases. Fowl adenoviruses (FAdVs) cause numerous diseases resulting in economic losses to the poultry industry worldwide. Several FAdV serotypes cause inclusion body hepatitis in chicken. Although FAdV infection was suspected, there was no confirmatory report from Bangladesh. The study was conducted to investigate the FAdV infection and antibodies in chicken. A total of 50 samples, each composed of liver and spleen, were collected from different chickens of Gazipur, Dinajpur, and Panchagarh district. Each location belongs to A, B, and C poultry zones of Bangladesh, respectively. Viruses were detected by real-time PCR and conventional PCR. Blood samples (n = 303) were collected at the beginning and after the recovery from infection and tested by indirect ELISA. Sequencing of PCR products was done for serotyping and phylogenetic analysis. Clinical signs were observed including anorexia, drowsiness, ruffled feathers, reduced body weight, lack of uniformity, and high mortality (15-25%). Enlarged friable liver with yellow to tan color mottled with the focal soft area, fluid in pericardial sac, swollen and hemorrhagic kidneys, enlarged congested spleen and pancreas, etc. were found on postmortem examination. FAdVs were detected in 90% of the flocks except commercial layer flock from Dinajpur. Three serotypes, namely, 8b (70%), 11 (10%), and 5 (10%) were detected. Anti-FAdV antibody was detected in 80% flocks at the beginning of infection and in 90% of the flocks after recovery from infection. The antibody titer increases significantly (p < 0.05) after recovery from infection. Phylogenetic analysis revealed that the Bangladeshi FAdVs have close identity with viruses from Asia, Europe, and South and North America. These findings suggested that several introductions of FAdVs were taken place in Bangladesh. To combat the disease, vaccination along with maintenance of biosecurity is essential.

Measuring GDP in Bangladesh and its Challenges

Measuring GDP in Bangladesh and its Challenges

The Effect of Inflation and Unemployment on GDP: Evidence from Bangladesh

This study aims to investigate the impact of inflation and unemployment on GDP in Bangladesh from 1991 to 2021. The study utilizes unit root tests, the Autoregressive Distributed Lag (ARDL) Bound test, and the Error Correction Model (ECM) to analyze the relationships between these variables. The results indicate that GDP and inflation are stationary at both the level and first difference, while unemployment is stationary at the first difference and at the same time all three variables are stationary at the first difference. The ARDL Bound test reveals that both inflation and unemployment are harmful to GDP, hindering its growth over time. The F-statistics indicate a consistent relationship between the variables. The Error Correction Model shows a high correlation between the variables in both the short- and long-term, accounting for 82% of the equilibrium deviation. The findings suggest that policymakers should pay attention to the levels of inflation and unemployment in the country, as they have a significant impact on GDP growth.

Investigating the Effect of Agricultural Crops on Agricultural GDP in Bangladesh

The main purpose of this study is to investigate the relationship between boro price, aman price, wheat price, potato price and GDP per capita income and then this study is to analyze the effects of per capita income and prices on the agricultural GDP. This study used Pearson correlation and the panel data fixed effect regression model from 2009 to 2021. The data was collected from the Bangladesh Bureau of Statistics. The results showed that the relation between GDP per capita income and the price of all products are positively correlated. Finally, the results disclosed production, price and GDP per capita income are significant at 1% level of significance as well as Boro price and wheat price is significant at 5% level of significance. But aman price and potato price are not significant at 5% level of significance. Therefore, GDP per capita income, production, price of boro rice and wheat price affected sufficiently on agricultural GDP.

Impact of FDI Inflow and FDI Outflow on the GDP of Bangladesh and India

Impact of FDI Inflow and FDI Outflow on the GDP of Bangladesh and India

Inequality in Household Resources and Amenities in Dhaka City: The Case of Dhanmondi, Pallabi, and Kallayanpur

This Paper examines the existing spatial inequalities in residential areas of Dhaka City, the megacity of Bangladesh on the basis of household resources and amenities. The empirical data has been collected through a detailed semi-structured questionnaire from 180 purposively selected respondents in Dhanmondi and Mirpur residential area and Kallayanpur slum area. . The results clearly indicate that there exist significant differences and variations of household resource and amenity indicators, particularly household and housing characteristics, sanitation facilities, water, electricity, and gas supplies, etc. More specifically, the finding reveals that there is a huge gap in tenure systems, income-expenditure, occupational, education and social status, utilities, and physical developments, and these are the prime issues for creating massive inequality in slum area from other residential areas. Furthermore, the slum dwellers are more deprived and neglected from all kinds of urban facilities though they play significant role in informal economy of urban areas as well as in GDP of Bangladesh. Hence, the findings suggest that policymakers should take proper initiatives to address multi-dimensional issues of slum areas to ensure a sustainable environment among residential areas of Dhaka City.&#x0D; The Dhaka University Journal of Earth and Environmental Sciences, Vol. 9(1), 2020, P 49-62

Impediments of financing and impact of domestic and foreign financing on economic growth in Bangladesh

The main objective of the study is to analyze a significant impact of financing on economic growth in Bangladesh. Besides, study has identified the impediment of financing on borrower perspective. From the data of last twenty years (FY 1999-2018), we have found that there is a significant gap between domestic financing and net foreign financing to contributions of economic growth in Bangladesh. To conduct quantitative analysis, we have used Correlation, regression, test of hypothesis and descriptive analysis in the paper. Primary and secondary data has been used in this paper. Primary data has been collected through structure questionnaires format from borrowers, investor, and businessmen. Secondary data has been collected from some economic reviews and journals. The results suggest that, if the government can overcome impediments of financing and make balance both the sources of financing, which will help more significantly in achieving targeted GDP in Bangladesh. The study will make available to the policy makers that how overcome the impediments of financing and which financing is more emphasis for achieving targeted level of GDP. At the end, have given some recommendations regarding overcome the impediments of financing and how to make the financing balance between the domestic financing and foreign financing to drive the economic growth by accelerating investment

Impact of Macroeconomic Variables on GDP of Bangladesh: An Empirical Analysis

Impact of Macroeconomic Variables on GDP of Bangladesh: An Empirical Analysis

Forecasting GDP Per Capita In Bangladesh: Using Arima Model

GDP per capita is one of the key indicators of the economic health of any country. It is often used by academicians and decision-makers to plan public and private policies. The work aims to forecast the real per capita GDP in Bangladesh. Using yearly data for Bangladesh from 1972 to 2019, the study analyzes future GDP per capita using the ARIMA technique. The ADF, PP, and KPSS tests showed that the appropriate model to forecast Bangladeshi GDP per capita is ARIMA (0, 2, 1). Finally, we applied in our paper the ARIMA model (0,2,1) to forecast the GDP per capita of Bangladesh for the next decade. The future GDP per capita shows that living standards in Bangladesh will continue. Indeed, Bangladesh's economy is growing, and other poor countries must learn from Bangladesh's experiences. The study offers policy prescriptions to help policymakers for Bangladesh on how to maintain, preserve, and promote sustainable growth in Bangladesh.

Inequality in Household Resources and Neighborhood Amenities in Dhaka City: A Case of Dhanmondi, Pallabi and Kallayanpur

This paper examines the existing spatial inequalities in Residential Areas of Dhaka City on the basis of household resources and amenities. The empirical data has been collected through a detailed semi-structured questionnaire from 180 respondents in Dhanmondi and Mirpur Residential Area and Kallayanpur Slum area. The respondents were selected purposively from the megacity of Bangladesh namely, Dhaka. The results clearly indicate that there exist significant differences and variations of household resource and amenity indicators, particularly household and housing characteristics, sanitation facilities, water, electricity and gas supplies, etc. More specifically, the finding reveals that there is a huge gap in tenure systems, income-expenditure, occupational, education, and social status, utilities, and physical developments, are the prime issues for creating massive inequality in slum area from other residential areas. Furthermore, the slum dwellers are more deprived and neglected from all kinds of urban facilities though they play a significant role in the informal economy of urban areas as well as in the GDP of Bangladesh. Hence, the findings suggest that policymakers should take proper initiatives to address multi-dimensional issues of slum areas to ensure a sustainable environment among residential areas of Dhaka city.

Statistical and Machine Learning Analysis of Impact of Population and Gender Effect in GDP of Bangladesh: A Case Study

Statistical and Machine Learning Analysis of Impact of Population and Gender Effect in GDP of Bangladesh: A Case Study

TRACK (by NEHEP) Implementation: A Bangladesh Scenario

With the increasing burden of non-communicable diseases in low-income and middle-income countries (LMICs), biological risk factors, such as hyperglycemia, are a major public health concern in Bangladesh. Optimization of diabetes management by positive lifestyle changes is urgently required for prevention of comorbidities and complications, which in turn will reduce the cost. Diabetes had 2 times more days of inpatient treatment, 1.3 times more outpatient visits, and nearly 10 times more medications than non- diabetes patients, as reported by British Medical Journal. And surprisingly, 80% of people with this so called “Rich Man's Disease” live in low- and middle-income countries. According to a recent study of American Medical Association, China and India collectively are home of nearly 110 million diabetic patients. The prevalence of diabetes in this region is projected to increase by 71% by 2035. Bangladesh was ranked as the 8th highest diabetic populous country in the time period of 2010-2011. In Bangladesh, the estimated prevalence of diabetes among adults was 9.7% in 2011 and the number is projected to be 13.7 million by 2045. The cost of diabetes care is considerably high in Bangladesh, and it is primarily driven by the medicine and hospitalization costs. According to Bangladesh Bureau of Statistics, in 2017 the annual average cost per T2DM was $864.7, which is 52% of per capita GDP of Bangladesh and 9.8 times higher than the general health care cost. Medicine is the highest source of direct cost (around 85%) for patients without hospitalization. The private and public financing of diabetes treatment will be severely constrained in near future, representing a health threat for the Bangladeshi population.

Impact of Climate Change on Livestock in Bangladesh: A Review of What We Know and What We Need to Know

Bangladesh is one of the over populated disaster prone country. The effect of climate change on livestock is a great deal to talk. This review study reveals that Bangladesh is one of the most vulnerable countries. However, the change of climate in this country momentously continuing and which determines how difficult it is to design and implement future strategies. Being a developing country, Bangladesh is less likely to face the challenges caused by global warming and climate changes owing to financial crisis and budget allocation in preparedness of emergency and urgent. As a part of agriculture, livestock sector is considered as backboneof annual GDP in Bangladesh. Besides, the financial hardship, negligence of long term planning and dearth of implementation of the existing capacity are crucial draw back for livestock development. Therefore, this review provides some advantageous rules for policymakers on habituation and pacification of the climatic hazards for wellbeing of livestock sectors of Bangladesh.

Electricity consumption and GDP nexus in Bangladesh: a time series investigation

Purpose The purpose of this paper is to assess the empirical cointegration, long-run and short-run dynamics as well as causal relationship between electricity consumption and real GDP in Bangladesh for the period of 1971‒2014. Design/methodology/approach Autoregressive Distributed lag (ARDL) “Bound Test” approach is employed for the investigation in this study. Findings Both short-run and long-run coefficients are providing strong evidence of having positive significant association between electricity consumption and GDP. Our long-run results remain robust to different measurements and estimators as well. The study reveals the unidirectional causal flow running from per capita electricity consumption to per capita real GDP in the short run. The study result also yields strong evidence of bidirectional causal relationship between per capita electricity consumption and per capita real GDP in the long run with feedback. It is suggested that both electricity generation and conservation policy will be effective for Bangladesh economy. Originality/value In prior studies, lack of causality between electricity consumption and GDP is due to the omitted variables. Combined effects of public spending and trade openness on GDP and electricity consumption are also considerable.

Modelling and Forecasting of GDP in Bangladesh: An ARIMA Approach

Modelling and Forecasting of GDP in Bangladesh: An ARIMA Approach