FEMALE EMPLOYMENT RATE IN INDIAN SECTORS :PANEL COINTEGRATION AND VECTOR ERROR CORRECTION ANALYSIS

FEMALE EMPLOYMENT RATE IN INDIAN SECTORS :PANEL COINTEGRATION AND VECTOR ERROR CORRECTION ANALYSIS

BY.......DR.DEBESH BHOWMIK

UTTARPRADESH UTTARAKHAND ECONOMIC ASSOCIATION ECONOMIC JOURNAL

VOLUME-14,CONFERENCE NO-14, OCTOBER 2018

14TH ANNUAL CONFERENCE ,GIDS LUCKNOW,
29-30 OCTOBER,2018,PAGE-304-309

FEMALE EMPLOYMENT RATE IN INDIAN SECTORS:PANEL COINTEGRATION AND VECTOR ERROR CORRECTION ANALYSIS

Dr.Debesh Bhowmik

Abstract

In this paper,author endeavours to evaluate empirical investigation on the sectoral female employment rate  in India during 1991-2016 through panel data analysis using regression, panel cointegration and panel vector error correction methodology taking sectoral shares, growth rates of sectors and value added in sectors as independent variables. The paper concludes that the panel regression found that female employment rate of all sectors is negatively related with GDP shares of sectors and growth rates of sectors during 1991-2016 in India. Fisher-Johansen panel cointegration test showed that there are two cointegrating equations among female employment rates of all sectors with GDP shares, growth rates of sectors and value added of the sectors during the said periods. The panel VECM is stable but nonstationary. In VECM system equations, Wald test suggested that there is long run association among growth rate of sectors, value added of sectors and female employment rate of all sectors and there is short causality from growth rates of sectors on shares of sectors and vice versa. Even, there is no short run causality from shares of sectors and growth rate of sectors on value added of sectors. There is no short run causality running from shares of sectors, growth rates of sectors and value added of sectors on female employment rate in all sectors.

Key words-sectoral employment rate, female employment rate, sectoral shares, sectoral growth rates, value added in sectors, Fisher-Johansen cointegration, vector error correction

JEL Classification-C33,J21,J64,L60,L80,Q10

The paper concludes that the panel regression found that female employment rate of all sectors is negatively related with GDP shares of sectors and growth rates of sectors during 1991-2016 in India. Fisher-Johansen panel cointegration test showed that there are two cointegrating equations among female employment rates of all sectors with GDP shares, growth rates of sectors and value added of the sectors during the said periods. The panel VECM is stable but nonstationary. In VECM system equations, Wald test suggested that there is significant long run association among growth rate of sectors, value added of sectors and female employment rate of all sectors and there is short causality from growth rates of sectors on shares of sectors and vice versa. Even, there is no short run causality from shares of sectors and growth rate of sectors on value added of sectors. There is no short run causality running from shares of sectors, growth rates of sectors and value added of sectors on female employment rates in all sectors.

DIMENSIONS AND PATTERNS OF NAFTA EUROPEAN UNION TRADE

MY ARTICLE

DIMENSIONS AND PATTERNS OF NAFTA-EUROPEAN UNION TRADE

THEME-II

DIMENSIONS AND PATTERNS OF NAFTA-EUROPEAN UNION TRADE

Dr.Debesh Bhowmik

Abstract

In this paper,author studied the trends, prospects and determinants of EU-NAFTA  trade during 1990-2016 showing cointegration and vector error corrections of world export share and import shares of EU and NAFTA with their determinants like export and import concentration index,export and import diversification index and trade balance indicator. Moreover, Euro Area’s trade with NAFTA from 1995-2016 was also explained by export and import concentration index and trade correlation indices. The paper concludes that world export share and import shares of both EU and NAFTA during 1990-2016 have been declining significantly with stationary process in which all of them have significant structural breaks downward. World export and import shares of EU from 1990-2016 are significantly negatively related with export and import diversification index but not significantly related with concentration and trade balance index. They are cointegrated with one cointegrating equation each having stable VECM and one significant error correction.World export and import shares of NAFTA are negatively related with concentration index, diversification index and trade balance index and found positive relation among trade balance index and import share of NAFTA. Both the export and import of EA to NAFTA during 1990-2014 have been significantly declining at the rates of 4.25% and 4.0% per year respectively.Euro Area’s export share is negatively related with export concentration index of EA to NAFTA and they are cointegrated with significant error correction process in stable and nonstationary VECM. Similarly,Euro Area’s import share is negatively related with import concentration index of EA to NAFTA with significant cointegration and error correction process in  stable and nonstationary VECM . Lastly , trade correlation index of EA-NAFTA trade in 2012 in comparison to 2005 suggests that EA-NAFTA trade has been improved or better off. 

JEL codes—C32,F02,F14,F15

Key words – Trade co-operation,EU-NAFTA trade agreement,EU-NAFTA trade,EU-NAFTA trade indicators

The paper concludes that world export share and import shares of both EU and NAFTA during 1990-2016 have been declining significantly in which all of them have significant structural breaks downward. World export and import shares of EU from 1990-2016 are significantly negatively related with export and import diversification index but not significantly related with concentration and trade balance index. They are cointegrated with one cointegrating equation each having stable VECM and one significant error correction.World export and import shares of NAFTA are negatively related with concentration index, diversification index and trade balance index and found positive relation among trade balance index and import share of NAFTA. Both the export and import of EA to NAFTA during 1990-2014 have been significantly declining at the rates of 4.25% and 4.0% per year respectively.Euro Area’s export share is negatively related with export concentration index of EA to NAFTA and they are cointegrated with significant error correction process in stable and nonstationary VECM. Similarly,Euro Area’s import share is negatively related with import concentration index of EA to NAFTA with significant cointegration and error correction process in  stable and nonstationary VECM. Lastly , trade correlation index of EA-NAFTA trade in 2012 in comparison to 2005 suggests that EA-NAFTA trade has been improved or better off.  

IMPACT OF INDO-ASEAN EXPORT ON ASEAN INTEGRATION

NAME OF ARTICLE

IMPACT OF INDO-ASEAN EXPORT ON ASEAN INTEGRATION

IMPACT OF INDO-ASEAN EXPORT ON ASEAN INTEGRATION

Dr.Debesh Bhowmik

(Retired Principal and Associated with The Indian Econometric Society)

Abstract

In this paper, author endeavors to show the impact of Indo-ASEAN export on trade and financial integration of ASEAN taking intra export share, FDI inflows, REER ,GDP growth rate and openness of ASEAN as determinants during 1994-2017 and also tried to show the relationship between Indo-ASEAN export , export concentration index and export diversification index of ASEAN during the same period through Johansen co-integration test and vector error correction model and Granger causality test. The paper concludes that Indo-ASEAN export has been stipulating at the rate of 13.89% per year during 1994-2017 having three upward structural breaks in 2002, 2005 and 2010 with two co-integrating equations with FDI inflows, intra-export share, REER, GDP growth rate, and openness of ASEAN. There is long run causality from FDI inflows, intra-export share, REER, GDP growth rate and openness of ASEAN to Indo-ASEAN export since co-integrating equation 2 tends to equilibrium with the speed of adjustment of 23.52% per year. There is short run causality running from intra-export share of ASEAN to Indo-ASEAN export but other variables have no short run causality. Long run causality was visible from export concentration index and export diversification index of ASEAN to Indo-ASEAN export but they have no short run causality.

Key words-Indo-ASEAN export, short run causality, long run causality, co-integration, vector error correction model, trade integration

JEL classification –C22,F14,F15,F36

The paper concludes that Indo-ASEAN export has been stipulating at the rate of 13.89% per year during 1994-2017.It has three upward structural breaks in 2002, 2005 and 2010 respectively. Indo-ASEAN export has two co-integrating equations with FDI inflows, intra-export share, REER, GDP growth rate, and openness of ASEAN during 1994-2017.VECM showed that Indo-ASEAN export influenced negatively to FDI inflows and intra export share of ASEAN insignificantly. On the other hand, Indo-ASEAN export is positively related with REER significantly and positively related with GDP growth rate and openness insignificantly during 1994-2017.Cointegrating equations explained that there is long run causality from FDI inflows, intra-export share, REER, GDP growth rate and openness of ASEAN to Indo-ASEAN export since co-integrating equation 2 tends to equilibrium with the speed of adjustment of 23.52% per year. There is short run causality running from intra-export share of ASEAN to Indo-ASEAN export but other variables have no short run causality. Bi-directional causality was observed between export concentration index and export diversification index of ASEAN and there is uni-directional causality from Indo-ASEAN export to export concentration index of ASEAN. Long run causality was visible from export concentration index and export diversification index of ASEAN to Indo-ASEAN export but they have no short run causality.

Basic Factors influencing Food grain production in Indian States: Panel Co-integration and VECM Analysis.

Basic Factors influencing Food grain production in Indian States: Panel Co-integration and VECM Analysis.

Dr.Debesh Bhowmik

ECONOMIC CHALLENGER

NO-21,ISSUE-82,JANUARY -MARCH 2019,P15-34

Abstract

In this paper Author finds the link among the food grain production , gross state domestic product at current prices, net irrigated area, fertilizer used by states, cropping intensity, state fiscal deficit  and state gross capital formation of 27 states in India from 1990-91 to 2015-16  using panel regression analysis, panel co-integration and vector error correction model. It finds positive link among food grain production ,gross state domestic product at current prices, net irrigated area, NPK used by states, cropping intensity and negative relation with state fiscal deficit. Johansen-Fisher test confirmed four co-integrating equations. VECM is stable, normally distributed and non-stationary with problem of autocorrelation. VECM states that there is significant long run association but in co-integrating equations change of food grain production and change of SDP have long run causality and they are moving towards equilibrium with slow speed but change of net irrigated area and change of cropping intensity do not move to equilibrium level because they have no long run causality with the independent variables. On the other hand, there is short run causality running from state fiscal deficit to SDP and cropping intensity only but rest of the variables did not show any short run causality.

Key Words-Food grain production, Panel co-integration, Panel vector error correction, Causality, Wald Test.

JEL classification codes-C12, C23, Q10, Q15, Q18

VII.Conclusion

The paper concludes that one per cent increase in SDP at current prices, net irrigated area, NPK used, cropping intensity, state fiscal deficit and state gross capital formation per year led to 0.177 %,0.7066%,0.0578% and1.5099%, increase in food grain production per year respectively  and decrease of 0.0599% and 0.0159% food grain production per year from 1990-91 to 2015-16 in 27 Indian states in fixed effect panel regression mode. Johansen-Fisher test confirmed three and four co-integrating equations Max Eigen and Trace statistic. VECM is stable, normally distributed and non-stationary with problem of autocorrelation. VECM states that there is significant long run association of food grain production of Indian states with state net irrigated area, utilization of fertilizers of the states, cropping intensity of the states during 1990-91-2015-16. In co-integrating equations change of food grain production and change of SDP have long run causality and they are moving towards equilibrium with slow speed but change of net irrigated area and change of cropping intensity do not move to equilibrium level because they have no long run causality with the independent variables. On the other hand, there is short run causality running from x₅ to x₁ and x₄ only but rest of the variables do not show any short run causality.

Non Performing Assets and macro economics in India :Panel data analysis by Dr. Debesh Bhowmik

The book contains 13 research papers which were accepted and presented in the 101st conference of Indian economic association in Vellore Institute of Technology during 27th..... 29th December, 2018. All are good research papers. 

I have a paper in this edited volume. The name of  my article is " Non Performing Assets and macro economics in India : Panel Data analysis " from page 1 to 22. 

The  paper concludes that there is long-run causality from npa/advance to GDP and inflation and there is significant short run causality from npa/advance to GDP and from GDP and Inflation to npa/advance in India during 1996..97.....2015...16.And GDP is inversely related with npa/advance.

The study implies that India's high NPA is detrimental to GDP. 

The book is hard bound and printed with good paper. It is useful to every researchers. 

National Seminar in Birla Global University

BIRLA GLOBAL UNIVERSITY,BHUBANESHWAR

NATIONAL SEMINAR HOSTED BY DEPARTMENT OF ECONOMICS

   ON 

INDIAN ECONOMY:EMERGING ISSUES AND CHALLENGES FOR SUSTAINABLE DEVELOPMENT

23-24 NOVEMBER,2018

Decoupling per capita CO₂ emission from GDP per capita in South Asia and Euro Area:Panel Data Analysis

Dr.Debesh Bhowmik

Abstract

In this paper author analysed decoupling per capita CO₂ emission from per capita GDP in Euro Area and South Asia during 1991-2017. To find the relationship between per capita CO₂ emission in metric ton and GDP per capita  in US$ in current prices during 1991-2017, author used fixed effect panel regression model after verifying the Hausman Test(1978) taking decoupling model. Fisher (1932)-Johansen cointegration test (1991) was used to show cointegration. Johansen (1991) Panel VECM was also used to show long and short run association between CO₂ emission and GDP where Wald test(1943) was verified in the system equations.Data of per capita CO₂ emission in metric ton and GDP per capita in US$ in current prices for Euro Area and South Asia from 1991 to 2017 were taken from the World Bank.

 The paper concludes that the fixed effect panel regression analysis showed that there is absolute decoupling in income elasticity ,no decoupling in square of income elasticity , absolute decoupling cubic income elasticity, and relative decoupling in income elasticity to the power four respectively during 1991-2017 in Euro Area and South Asia. Fisher-Johansen panel cointegration test confirm two cointegrating equations both of which are moving to equilibrium but one is significant.There is a long run association between per capita CO₂ emission and cubic function of per capita GDP of South Asia and Euro Area during 1991-2017.The speeds of adjustment of error corrections are 8.86% and 161.6% per annum respectively. There is no short run association between per capita CO2 emission and per capita GDP in different order. In VECM, in income elasticity of the two period lag there is absolute decoupling which is decreasing. Square of Income elasticity of two periods lag ensure relative decoupling which is dwindling. Lastly, cube of income elasticity of two period lag confirm absolute decoupling whose value is also falling. These imply that the relation between per capita CO₂ emission and GDP per capita in South Asia and Euro Area during 1991-2017 satisfy EKC hypothesis. 

Key words—per capita CO₂ emission, GDP per capita, decoupling, panel cointegration, panel VECM,short run causality,long run causality

JEL code classification----- C14,C23,C32,Q01, Q38, Q43,Q52,Q53,Q5

The paper concludes that the fixed effect panel regression analysis showed that there is absolute decoupling in income elasticity ,no decoupling in square of income elasticity , absolute decoupling cubic income elasticity, and relative decoupling in income elasticity to the power four respectively during 1991-2017 in Euro Area and South Asia. Fisher-Johansen panel cointegration test confirm two cointegrating equations both of which are moving to equilibrium but one is significant.There is a long run association between per capita CO₂ emission and cubic function of per capita GDP of South Asia and Euro Area during 1991-2017.The speeds of adjustment of error corrections are 8.86% and 161.6% per annum respectively. There is no short run association between per capita CO2 emission and per capita GDP in different order. In VECM, in income elasticity of the two period lag there is absolute decoupling which is decreasing. Square of Income elasticity of two periods lag ensures relative decoupling which is dwindling. Lastly, cube of income elasticity of two period lag confirm absolute decoupling whose value is also falling. These imply that the relation between per capita CO₂ emission and GDP per capita in South Asia and Euro Area during 1991-2017 satisfy EKC hypothesis. 

Econometric Test on Growth-Unemployment Nexus in India

VOLUME-2,ISSUE-2,AUGUST-31,2018,Page-58-76

ARTICLE
Econometric Test on Growth-Unemployment Nexus in India

                                                        Dr.Debesh Bhowmik

                                    http://journals.umt.edu.pk/sbe/jqm

                                                         

                                                                          ABSTRACT

       

Generally, the economic growth boosts employment growth rate

but empirical evidences do not support these views in all cases.

In this paper, the author endeavors to relate growth with

unemployment rate during 1991-2016 in India using regression

models, Granger Causality test, Johansen Cointegration test and

Vector Error Correction model. Impulse response functions were fitted for testing stationary. Unit circle was found out to check stability of the Vector Error Correction. Output gap is measured by deducting Hodrick-Prescott Filtered trend value from the actual output.Unemployment gap is measured by deducting natural growth rate of unemployment from the actual unemployment rate. The data on Indian unemployment rate, growth rate and GDP from 1991 to 2016 have been taken from the World Bank. The paper concludes that growth-unemployment nexus is significantly negative at 10% level. Their relation is not causal but is co-integrated at 10% level. VECM is stable and non-stationary where in one error correction process the speed of adjustment is high and significant. The relation between output gap and unemployment is negative and insignificant. They are not co-integrated and have no causality. The nexus between output gap and unemployment gap is significantly negative but the relation has no causality and co-integration. VAR model is a good fit where variables are related with previous periods. The relation between growth and unemployment gap is insignificantly negative and co-integrated where VECM is stable but non-stationary and one speed of adjustment is significantly fast and other is insignificantly slow in error correction process.