Dr.DEBESH BHOWMIK
Friday, 30 August 2019
Monday, 26 August 2019
Saturday, 24 August 2019
DECOUPLING CO2 EMISSIONS FROM GDP IN ASEAN-8: A PANEL DATA ANALYSIS
DECOUPLING CO2 EMISSIONS FROM GDP IN ASEAN-8: A PANEL DATA ANALYSIS
by
DR.DEBESH BHOWMIK
INDIAN JOURNAL OF APPLIED BUSINESS AND ECONOMICS
VOLUME-1,NO-1,1-19,2019
Decoupling Co2 Emissions From GDP in Asean-8:
A Panel Data Analysis
Debesh Bhowmik
Retired Principal and Associated with Indian Economic Association and The Indian Econometric Society,
Life member, Bengal Economic Association, Economic Association of Bihar
Email:
debeshbhowmik@rediffmail.com; debeshbhowmik269@gmail.com
Received: 5 January 2019; Revised: 15 February 2019; Accepted: 10 April 2019; Publication: 5 May 2019
Abstract:
In this paper author attempted to analyze the decoupling hypothesis of CO2 emission from GDP in ASEAN-8 countries during 1980-2016 in panel data which were collected from the World Bank with the assistance of the econometric models of panel fixed effect regression model, Johansen (1988)Fisher (1932) panel cointegration and panel vector error correction model respectively for long run relationship and applied the Wald test (1943) for short run causality. The VEC residual normality test of Hansen Doornik
(1994) residual correlation was used to test normality. After verifying the Hausman test (1978) in the random effect model author used fixed effect panel regression model and found that there is no decoupling because the elasticity is positive and greater than or equal to +1. 0 with respect to GDP, there is absolute decoupling when the elasticity is zero or negative with respect to square of GDP, and there is relative decoupling with respect to
the cube of GDP during the survey period. All are significant at 5% level. Thus, it proves the existence of inverted U shaped Environment Kuznets Curve. Residual cross section dependence test confirmed that there is cross section dependence in the statistic of Breusch Pagan LM(1979) and Pesaran CD (2015) which were rejected at null hypothesis of no cross section dependence (correlation) in residuals. The coefficient diagnostic test assured
that the confidence ellipse is significant at 5% level. The cointegration test suggests that there is long run association among CO2 emissions and the GDP of the ASEAN-8 having two cointegrating equations given by Trace and Max Eigen statistic. From the VECM1 of the system equation, cointegrating
equation2 has been approaching towards equilibrium which implies there is long run causality from GDP of previous period, square
of GDP of previous period, and cube of GDP of previous period to the change of CO2 emissions although it is not significant at 5% level. The speed of adjustment is 0. 73% per year. The similar findings have been observed from other estimated VECM of the system equations. But, there is no short run causality from GDP to CO2 emission in ASEAN-8. Besides, there are both short run and long run causality from GDP, square of GDP and cube of GDP of previous periods to GDP of the given period. In general, VECM is stable but non-stationary, non-normal and serially correlated.
Key Words: CO2 emission, GDP, decoupling, panel cointegration,
panel VECM, short run causality, long run causality
JEL Classification codes: C14, C23, C32, Q01, Q38, Q43, Q52, Q53, Q5
Indian Journal of Applied Economics and Business
Vol. 1, No. 1, 2019
ARF INDIA
Academic Open Access Publishing
www. arfjournals. com
Author
Monday, 12 August 2019
The Impacts of India’s Export to African Blocs: Panel Data Analysis
The Impacts of India’s Export to African Blocs: Panel Data Analysis
by Debesh Bhowmik,
Journal of Quantitative Finance and Economics , 2019, 1(1), 1-23, PDF Full-text
Recived:05/01/2019, Revised: 05/01/2019, Accepted : 10/04/2019, Publication: 05/05/2019
Recived:05/01/2019, Revised: 05/01/2019, Accepted : 10/04/2019, Publication: 05/05/2019
Abstract:
The paper studied the impacts of India’s export to the seven African trading blocs during 19952016 especially on GDP growth rate, FDI inflows, inflation rate, Real Effective Exchange Rate, import concentration index and openness of the blocs which directly or indirectly help to speed up the process of trade and financial integration of the African blocs taking data from UNCTAD through BaiPerron model(2003), Fixed effect panel regression model ,the Hausman test (1978, Fisher(1932)Johansen(1991) , Kao(1999) and Pedroni(1999) cointegration models. Vector Error Correction and Wald test(1943)were applied to test causality. The empirical results showed that the growth rate of India’s export to seven African blocs namely, CEMAC, COMESA ,EAC,ECCAS,SACU, SADC and WAEMU have been increasing at the rate of 0.130.19 per cent per annum during 19952017 which have significant upward structural breaks . The fixed effect panel regression assured that one per cent increase in GDP growth rate,FDI inflows, inflation rate, of African blocs led to 0.101 per cent , 0.1185 per cent , 0.1839 increase in India’s export to African bloc blocs but one per cent increase in openness ,REERand import concentration index in African blocs led to 3.586 per cent decrease , 1.15% decrease , 1.388 per cent decrease in Indian export to African blocs during 19952017. Panel cointegration showed that there are at least five cointegrating vectors among them. There are insignificant long run causalities from import concentration index and openness index of 7 African blocs to GDP growth rate and REER .There is short term causality from REER of the African blocs to Indian export to their blocs. And there are short term causalities [i] from import concentration of African blocs to GDP growth rate of African blocs,[ii] from openness of African blocs to inflation rate of African blocs, and [iii] from FDI inflows of African blocs to REER of African blocs respectively. This research may find out to formulate policies on macro variables how to accelerate trade and financial integration of African blocs with India.
Key words: African blocs, India’s exports, panel cointegration, panel vector error correction, short run causality, long run causality,
JEL classification codes: C33, F14, F15, F40, P33
Introduction
There are almost 14 regional economic communities in Africa in which full economic union was satisfied in UMA, CEMAC, ECCAS, EAC, ECOWAS, CEPGAL, SADC and UEMOA, customs union was satisfied in COMESA,SACU and UEMOA and free trade area was established in SADC and COMESA. The blocs are trying to hike their intra trade shares and macro convergence. Even they have been following Abuja Treaty of 1991 to form African Economic Community through six phases of targets in which 202328 is the sixth phase where complete political, economic and monetary union with a single currency and a pan African Parliament would be achieved.
Economic Commission of Africa sets various targets in every field to realize the Obuja Treaty.The success stories of African blocs outweighed the failures during last two decades which were examined empirically by Bhowmik (2014) lucidly. The African Free Trade Zone (AFTZ), also known as the African Free Trade Area, was announced at the EACSADCCOMESA Summit in October 2008. In May 2012, the agreement was extended to include ECOWAS, ECCAS and AMU to operationalise an African Free Trade Zone by 2018. A breakthrough in Africa’s journey towards regional and continental integration was achieved when the Heads of State and Government of COMESA EAC SADC met on 10 June 2015 in Sharm El Sheikh, Egypt, to launch the Tripartite Free Trade Area (TFTA). Even, the AfCFTA provides an important opportunity for the African countries in an increasingly globalised world. The elimination of tariffs in goods and services will help in boosting economic growth of the African countries, transform their economies and achieve sustainable development goals (SDGs).The integration agenda of SADC has also been strengthened through the Regional Indicative Strategic Development Plan which is a comprehensive 15 year strategic roadmap. This plan not only boosts regional economic integration but also leads to the addressing of the socioeconomic issues in this region. Indian Technical and Economic Cooperation, Team 9,and Pan Africa enetwork aimed at building institutional and human capacity as well as enabling skills and knowledge transfer in the IndoAfrican ties.Indian businesses are active across geographic spaces and sectors in Africa.They are deeply engaged in agribusiness, engineering,construction,film distribution, cement,plastics and ceramics manufacturing, advertising, marketing,pharmaceuticals and telecommunications respectively. The presence of India Inc. in the continent can be loosely divided into three categories ,namely,business set up by members of the diaspora,large state owned for private MNCs and New SMEs set up investors in search of business opportunities.
IndoAfrican Framework for Strategic Cooperation identified significant areas of cooperation, such as,agriculture, infrastructure, health, blue economy and renewable energy. CII stressed the needs for Business to Government dialogue both in India and Africa which can fulfill threefold
Friday, 26 July 2019
Tuesday, 9 July 2019
DECOUPLING CO2 EMISSIONS IN NORDIC COUNTRIES:PANEL DATA ANALYSIS
SUMY STATE UNIVERSITY ,UKRAINE
JOURNAL-SOCIO-ECONOMIC CHALLENGES,VOL-3,ISSUE-2,2019,Page-15-30
ARTICLE
DECOUPLING CO2 EMISSIONS IN NORDIC COUNTRIES:PANEL DATA ANALYSIS
AUTHOR
Dr.DEBESH BHOWMIK
LINK-http://armgpublishing.sumdu.edu.ua/journals/sec/current-issue-of-sec
http://doi.org/10.21272/sec.3(2).15-30.2019
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