Effect of economic growth, trade openness, urbanization, and technology on environment of Asian emerging economies

2018 ◽  
Vol 29 (6) ◽  
pp. 1123-1134 ◽  
Author(s):  
Kashif Munir ◽  
Ayesha Ameer
Keyword(s):  
Economic Growth ◽  
Emerging Economies ◽  
New Technologies ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Stirpat Model ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run

Purpose The purpose of this paper is to analyze the long-run as well as short-run effect of economic growth, trade openness, urbanization and technology on environmental degradation (sulfur dioxide (SO2) emissions) in Asian emerging economies. Design/methodology/approach The study utilizes the augmented STIRPAT model and uses the panel cointegration and causality test to analyze the long-run and short-run relationships. Due to the unavailability of data for all Asian emerging economies, the study focuses on 11 countries, i.e. Bangladesh, Hong Kong, India, Indonesia, Iran, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka and Thailand, and uses balance panel from 1980 to 2014 at annual frequency. Findings Results showed that the inverted U-shape hypothesis of the environmental Kuznets curve holds between economic growth and SO2 emissions. While technology and trade openness increases SO2 emissions, urbanization reduces SO2 emissions in Asian emerging economies in the long run. Unidirectional causality flows from urbanization to SO2 emissions and from SO2 emissions to economic growth in the short run. Practical implications Research and development centers and programs are required at the government and private levels to control pollution through new technologies as well as to encourage the use of disposed-off waste as a source of energy which results in lower dependency on fossil fuels and leads to reduce emissions. Originality/value This study contributes to the existing literature by analyzing the effects of urbanization, economic growth, technology and trade openness on environmental pollution (measured by SO2 emissions) in Asian emerging economies. This study provides the essential evidence, information and better understanding to key stakeholders of environment. The findings of this study are useful for individuals, corporate bodies, environmentalist, researchers and government agencies at large.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

The short-run and long-run dynamics among FDI, trade openness and economic growth: using a bootstrap ARDL test for co-integration in selected South Asian countries

2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan
Keyword(s):  
Economic Growth ◽  
Sri Lanka ◽  
Causal Relationship ◽  
South Asian ◽  
Trade Openness ◽  
Asian Countries ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.

scholarly journals TRADE OPENNESS AND ECONOMIC GROWTH: EMPIRICAL EVIDENCE FROM INDIA

2014 ◽  
Vol 16 (1) ◽  
pp. 188-205 ◽  
Author(s):  
Qazi Muhammad Adnan Hye ◽  
Wee-Yeap Lau
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Granger Causality ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Causality Test ◽  
Long Run ◽  
Rolling Window ◽  
Short Run ◽  
The Impact

The main objective of this study is to develop first time trade openness index and use this index to examine the link between trade openness and economic growth in case of India. This study employs a new endogenous growth model for theoretical support, auto-regressive distributive lag model and rolling window regression method in order to determine long run and short run association between trade openness and economic growth. Further granger causality test is used to determine the long run and short run causal direction. The results reveal that human capital and physical capital are positively related to economic growth in the long run. On the other hand, trade openness index negatively impacts on economic growth in the long run. The new evidence is provided by the rolling window regression results i.e. the impact of trade openness index on economic growth is not stable throughout the sample. In the short run trade openness index is positively related to economic growth. The result of granger causality test confirms the validity of trade openness-led growth and human capital-led growth hypothesis in the short run and long run.

The Kyoto Protocol and CO2 emission: is India still hibernating?

2018 ◽  
Vol 11 (2) ◽  
pp. 152-168 ◽  
Author(s):  
Aaqib Ahmad Bhat ◽  
Prajna Paramita Mishra
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Kyoto Protocol ◽  
Empirical Relationship ◽  
Trade Openness ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
International Climate ◽  
The Impact

Purpose The purpose of this study is to investigate the relationship between CO2 emission and its core determinants, namely, economic growth, energy consumption and trade openness in the pre- and post-Kyoto Protocol era in the Indian economy. Design/methodology/approach The study uses the ARDL bounds test to analyze the long-run and short-run empirical relationship between the interested variables for the time period 1971-2013. A dummy variable representing the Kyoto Protocol regime has been included to examine the likely impact of international climate policies (Kyoto Protocol) in controlling and reducing CO2 emission in India. Findings The empirical results indicate the possibility of increase in CO2 emission from India even after the Kyoto Protocol regime. Evidence of inverted U-shaped relationship between CO2 emission and economic growth (EKC hypothesis) has been confirmed. However, compared to increase in CO2 emission, the magnitude of decrease due to improvement in economic growth is relatively lesser. Energy consumption and trade openness are also found to increase CO2 emission. Research limitations/implications The results indicate that there is a lack of commitment on the part of India to curtail CO2 emission, which can be disastrous for future prosperity. Financing the renewable electricity generation, R&D subsidy and tax-free renewable energy seems to be imperative to address this catastrophic problem. Originality/value This study is the first attempt to analyze the impact of international climate policy (Kyoto Protocol) on CO2 emission by incorporating a fixed dummy in the ARDL specifications.

scholarly journals Economic Growth, Domestic Investment, Real Exchange Rate and Trade Openness in India: A multi-cointegration analysis

2016 ◽  
Vol 12 (3) ◽  
pp. 169-184
Author(s):  
Md. Samsur Jaman
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Real Exchange Rate ◽  
Granger Causality ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Domestic Investment ◽  
Causality Test ◽  
Long Run ◽  
Short Run

This study examines the relationships between economic growth, gross domestic investment, real exchange rate and trade openness in Indian Economy using the Johansen –Juselius cointegration test and VEC Granger causality test. The results suggest that there exists a long-run relationship among the variables. All the estimated coefficients of the long-run equation have the correct positive signs and significant at least at the 5 per cent level. Specifically, in the long run, a 1% increase in Gross Domestic Investment (GDI) increases 0.066% in economic growth. Similarly, a 1% increase in trade openness leads to 0.082% increase in economic growth and a 1% increase in real exchange rate leads to 0.26% increase in economic growth. Thus, in the long run, Gross Domestic Investment (GDI), trade openness and real exchange rate have positively impact on economic growth. The results from the VEC Granger causality test suggest that in the short run only economic growth has short run impact on Gross Domestic Investment (GDI). The other variables have no short run impact on each other. Thus, there is a unidirectional causality from economic growth to GDI, but there is no feedback effect.

Dynamic inter-linkage between foreign aid and economic growth in Sri Lanka

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahamed Lebbe Mohamed Aslam ◽  
Sabraz Nawaz Samsudeen
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Sri Lanka ◽  
Foreign Aid ◽  
Correction Term ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Test Result

PurposeThe objective of this study is to explore the dynamic inter-linkage between foreign aid and economic growth in Sri Lanka over the period of 1960–2018.Design/methodology/approachBoth exploratory and inferential data analysis tools have been employed to examine the objective of this study. The exploratory data analysis covered the scatter plots, confidence ellipse with kernel fit. The inferential data analysis included the augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests, the autoregressive distributed lag (ARDL) Bounds co-integration technique and the Granger causality test.FindingsThe test result of exploratory data analysis indicates that there is a positive relationship between foreign aid and economic growth. The ADF and PP unit root tests results indicate that the variables used in this study are stationary at their 1st difference. The co-integration test result confirms the presence of long-run relationship between foreign aid and economic growth in Sri Lanka. The estimated coefficient of foreign aid in the long-run and the short-run shows that foreign aid has a positive relationship with economic growth in Sri Lanka. The estimated coefficient of error correction term indicates that approximately 26.6% of errors are adjusted each year and further shows that the response variable of economic growth moves towards the long-run equilibrium path. The Granger causality test result shows that foreign aid in short-run Granger causes economic growth in Sri Lanka which means that one-way causality from foreign aid to economic growth is confirmed. Further, the estimated coefficient of error correction term confirms that there is the long-run Granger causal relationship between foreign aid and economic growth in Sri Lanka.Practical implicationsThe findings of this study have some important policy implications for the design of efficient policy related to foreign aid and economic growth, the knowledge of which will help follow sustainable foreign aid and growth nexus.Originality/valueThis study contributes to the existing literature by using the newly introduced ARDL Bounds cointegration technique to investigate the dynamic inter-linkage between foreign aid and economic growth in Sri Lanka.

Investigating the Presence of Environmental Kuznets Curve Hypothesis in India and China: An Autoregressive Distributive Lag Approach

2019 ◽  
Vol 8 (2) ◽  
pp. 194-210
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Annual Growth Rate ◽  
Ekc Hypothesis ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
India And China

The Environmental Kuznets Curve (EKC) hypothesis advocates a reversed U-shaped association between different pollutants and per capita income. EKC postulates that speedy growth certainly results in environmental degradation due to glut use of natural resources and emission of pollutants. The study used carbon dioxide (CO2) emissions, economic growth, energy consumption, and the annual growth rate of population to investigate the EKC hypothesis in India and China for the period of 1971–2013. Furthermore, to explore the long-run and short-run relationship among competing variables, the autoregressive distributed lag model (ARDL) is used. Granger causality test is used to investigate the long-run and short-run causality between variables under study. The results support the EKC hypothesis in India and China, in both long-run and short-run, and inverse U-shaped association is found between CO2 emission and economic growth. Unidirectional causality seen in both countries in terms of economic growth and CO2 emissions. In addition, the coefficient of economic growth in a short-run model provides the evidence that there has been a gradual decline in environmental degradation (downward sloping of EKC) and the quality of the environment is gradually improving in China. Based on the findings, the study suggests that environmental policymakers, especially in India, should seriously address the issue of CO2 emissions as it has a tendency to move faster in the coming years.

Financial depth and the trade openness-economic growth nexus

2017 ◽  
Vol 33 (1) ◽  
pp. 20-45
Author(s):  
Rudra P. Pradhan ◽  
Mak Arvin ◽  
John H. Hall ◽  
Sara E. Bennett ◽  
Sahar Bahmani
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Capital Formation ◽  
Content Type ◽  
Vector Autoregressive ◽  
Long Run ◽  
Financial Depth ◽  
Short Run

Purpose The purpose of this paper is to shed light on the age-old trade-and-economic-growth controversy. The authors do so by utilizing the data relating to the G-20 countries between 1988 and 2013. Design/methodology/approach The authors seek to establish the formal statistical links between openness to trade and economic growth in the context of interactions with financial depth, gross capital formation, and foreign direct investment. The authors use a panel vector autoregressive model to obtain the estimates. The authors check for the robustness of the results. Findings The authors find that all the variables are cointegrated. That is, there is a long-run equilibrium relationship between the variables. Moreover, trade openness, financial depth, gross capital formation, and foreign direct investment are all causative factors for the economic growth of the G-20 countries in the long run. At the same time, the short-run results demonstrate that there is a myriad of causal links between these variables. Practical implications The decision makers in the G-20 countries wishing to encourage economic growth in the long run should pay close attention to trade openness, financial depth, gross capital formation, and foreign direct investment inflows to their countries. Originality/value The authors study an important group of countries over a long span of time, using advanced panel data techniques. The results demonstrate that future studies on economic growth that do not simultaneously consider trade openness, financial depth, foreign direct investment, and gross capital formation will offer biased or misguided results.

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