scholarly journals How Do Population and Urbanization Cause Environmental Degradation in South Asian Countries? A Panel Data Analysis

2020 ◽  
Vol 6 (4) ◽  
pp. 799-809
Author(s):  
Noreen Safdar ◽  
Shezza Ashraf ◽  
Fatima Farooq ◽  
Junaid Qadir

The following study shows the economic consequences of population and environmental degradation in selected South Asian Countries for the time period 2000- 2018. Panel cointegration shows the long-run association among population, urbanization, environment and economic growth. By using PMG estimation technique, the results show that environmental degradation has a negative influence on economic growth while the urban population has a progressive impact on economic growth while the total population has a negative impact on economic growth. The results of causality analysis show that there is bidirectional causality among all variables which indicates that population, urbanization, environment and economic growth are causing each other. It is also noticed by the causality analysis that population, urbanization and economic growth are causing environmental degradation in south Asian countries. Further the results show that there is cross-sectional dependency among all variables in selected countries which reveals that all these countries should make collaborative strategies to increase economic growth and to cope up the problem of environmental degradation.

2021 ◽  
Vol 3 (2) ◽  
pp. 200-211
Author(s):  
Ansar Abbas Shah ◽  
Muhammad Sajjad Hussain ◽  
Muhammad Atif Nawaz ◽  
Mazhar Iqbal

Environmental degradation is the most prominent area nowadays, especially in developing counties where high renewable energy consumption and population growth deteriorate the atmosphere of the country. Thus, the current study investigates the nexus among renewable energy consumption, economic growth (EG), population growth, foreign direct investment (FDI), and environmental degradation in South Asian countries. The covariance matrix estimators that are developed by “Driscoll and Kraay” are used in this study. The primary property of this estimator is that it does not account for the cross-sectional dependence; thus, it provides substantial, robust outcomes among the cross-sectional units while in the presence of cross-sectional dependence. The data was collected from the World Development Indicators (WDI) from 2001 to 2019. The findings exposed that positive nexus among the population growth, FDI, and environmental degradation while renewable energy consumption and EG has negative nexus with environmental degradation and also not supported the EKC hypothesis in South Asian countries. These findings suggested that the regulators should develop policies that reduce environmental degradation in the presence of high EG, energy consumption, FDI, and population growth.


Author(s):  
Ravinthirakumaran Navaratnam ◽  
Kasavarajah Mayandy

The impact of fiscal deficit on economic growth is one of the most widely debated issues among economists and policy makers in both developed and developing countries in the recent period. This paper seeks to examine the impact of fiscal deficit on economic growth in selected South Asian countries, namely, Bangladesh, India, Nepal, Pakistan and Sri Lanka using time series annual data over the period 1980 to 2014. The paper uses cointegration analysis, error correction modelling and Granger causality test under a Vector Autoregression (VAR) framework. The results from this study confirmed that the fiscal deficit has a negative impact on economic growth in the South Asian countries considered in this study except Nepal, which confirmed the positive impact. The results also highlighted that the direction of causality for the SAARC countries is mixed where fiscal deficit causes economic growth for Bangladesh, Nepal and Pakistan, but the reverse is true for India and Sri Lanka.  


2019 ◽  
Vol 11 (1) ◽  
pp. 197
Author(s):  
Md. Nezum Uddin ◽  
Mohammed Jashim Uddin ◽  
Md. Joynal Uddin ◽  
Monir Ahmmed

Remittances are regarded one of the foremost financial resources globally. Over the past century, in the developing economy, there is a heated debate on the sources of economic growth. The current paper attempts to analyze how economic growth is being impacted by remittance in five selected South Asian countries between the period 1975 and 2017. Estimated results from panel-data estimation techniques exhibit a positive relation between economic growth and remittance in these countries. The results from Granger-causality tests suggest that remittance plays a catalyst role to bring economic growth but economic growth doesn’t play any role to bring remittance while Dumitrescu Hurlin Causality tests found a bi-directional relationship. Important finding of the study is that remittance boost economic growth in South Asian region.


Author(s):  
Abu K. ◽  
Monzurul I.U.

According to Joseph Schumpeter (1911), services provided by financial intermediaries are essential for technical innovation and economic growth. Later, empirical work by Goldsmith (1969) and McKinnon (1973) supported that there were close ties between financial and economic development for a few countries. But numerous other economists, including Robinson (1952) believed that finance was not so important for economic growth; financial development simply follows economic growth. Despite this debate, Levine (1993), among others suggests a positive relationship between financial sector development and economic growth. Moreover, there remains further debate whether the country's financial structure exerts differential impact on economic growth. Empirical studies across the countries (Rajan and Zingales, 1999) suggest that banking sector plays a key role in some countries. In this paper, I intend to investigate whether higher levels of financial development are positively correlated with economic growth using empirical evidence from five South Asian countries namely Bangladesh, India, Nepal, Pakistan and Sri Lanka. I have used Panel data analysis, Linear regression model, Levin-Lin-Chu unit root test, Covariance, Correlation and VIF test based on aggregate annual data from 1993 to 2016. My analysis suggests that development in banking sector has a moderately strong tie to promoting economic growth. The result implies that the policy should focus on banking sector development by enhancing its quality of credit products and offers to private sector as it is the main stimulator for growth in these five South Asian countries.


2020 ◽  
pp. 1-11
Author(s):  
Amber Hasan ◽  
Abdul Waheed

This study tends to evaluate the impact of globalization on human development in developing countries. The objective has been achieved by analyzing the data of six SAARC countries (Pakistan, India, Sri-Lanka, Bhutan, Bangladesh, and Nepal) over 20 years from 2000-2019. Afghanistan and Maldives were removed from the study because of the unavailability of data. The multiple regression model is used for estimation, which includes many economic and demographic variables. The focused independent variables are the trade openness and foreign direct investment (FDI), which are used as a proxy for globalization. Other explanatory variables are GDP growth, percentage of the population using safely managed sanitation services, infant mortality ratio, maternal mortality ratio, birth rate, death rate, and dependency ratio (% of working-age population). Hausman test has indicated that the fixed effect model is appropriate for this study. The results of fixed effect estimation indicated that FDI has positive while trade openness has a negative impact on Human Development in selected South Asian countries.


2020 ◽  
Vol 9 (4) ◽  
pp. 223-232
Author(s):  
MUHAMMAD REEHAN HAMEED ◽  
MAJID ALI ◽  
HAFSAH BATOOL

Over the years, the South Asian countries were facing the dilemma of twin’s deficits because they had failed to generate sufficient revenues to finance their budget. Consequently, they were continuously relying on both domestic and external debt to bridge these deficits which had put a severe implication on their economic growth. Their financial position continued to deteriorate and undermined all the efforts of the governments made to stimulate economic growth. The governments in these countries failed to generate enough revenues through internal sources. Therefore, the deficits were normally fiancé through external sources. The paper examined whether the external debt was a blessing or course to the economic growth of South Asian countries i.e. Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. For this purpose 30 years of panel data of these countries from 1990 to 2019 had been taken. Fixed effect model and Panel Autoregressive Distributive Lag (ARDL) Approach had been applied to examine the short-run and long-run association among the variables. The natural log of GDP per capita was used as a proxy for economic growth. The other variables were external debt, initial GDP, foreign direct investment, trade openness, investment, and secondary school investment rate. The outcomes of the study indicated that that external debt had a negative impact on economic growth both in the short-run and long-run. This revealed that external debt had not been utilized effectively and productively. The study suggested that effort would be made to manage the external debt and reduced the twin's deficits to minimize the harmful impact of external debt on the economy. Keywords: South Asian, External Debt, ARDL, Fixed Effect Model, Economic Growth.


2021 ◽  
Author(s):  
Bosede Ngozi ADELEYE ◽  
Darlington AKAM ◽  
Nasiru INUWA ◽  
Henry Tumba JAMES ◽  
Denis BASILA ◽  
...  

Abstract This study investigates and provides evidence on the impact of economic growth and non-renewable energy on environmental degradation. Using unbalanced panel data from 1990 to 2018 on five South Asian countries and engaging the dynamic common correlated effects-mean group (DCCE-MG) technique of Ditzen (2016, 2018), findings support the energy-led degradation hypothesis while the growth-led degradation hypothesis does not hold but both are supported from FMOLS and DOLS robustness checks. In order words, non-renewable energy and economic growth significantly drive environmental degradation. Country-level results are mixed with Nepal evidencing energy-led degradation, Pakistan shows growth-led degradation while India indicates growth-led sustainability. Supportively, the Dumitrescu-Hurlin (2012) non-Granger causality test establishes: (1) energy-led and growth-led degradation, (2) feedback causal relation between environmental degradation and non-renewable energy, and (3) unidirectional causality from growth to non-renewable energy i.e. “conservation” hypothesis. Policy implications are discussed.


Sign in / Sign up

Export Citation Format

Share Document