Muhammad M U Z A M M I L Asghar
Mr. Muhammad Muzammil Asghar is an active researcher whose research endeavours span a diverse range of topics within macroeconomics, with a particular emphasis on environmental sustainability and its implications for economic development.
Disciplines
Development EconomicsInternational EconomicsEconometrics
Skills and expertise
Economic Growth, Economic Development, Econometric Analysis, Economic Policy Analysis, Growth Economics, Foreign Direct Investment, Developing Countries, Panel Data Econometrics, International Finance, FDI, OLS, Gini coefficient
Languages
English, Urdu, Punjabi
Supervisors: Muhammad Ramzan Sheikh
Address: School of Economics, Bahauddin Zakariya Uiversity Multan, Pakistan
School of Economics, Bahauddin Zakariya Uiversity Multan, Pakistan
Disciplines
Development EconomicsInternational EconomicsEconometrics
Skills and expertise
Economic Growth, Economic Development, Econometric Analysis, Economic Policy Analysis, Growth Economics, Foreign Direct Investment, Developing Countries, Panel Data Econometrics, International Finance, FDI, OLS, Gini coefficient
Languages
English, Urdu, Punjabi
Supervisors: Muhammad Ramzan Sheikh
Address: School of Economics, Bahauddin Zakariya Uiversity Multan, Pakistan
School of Economics, Bahauddin Zakariya Uiversity Multan, Pakistan
less
InterestsView All (7)
Uploads
Papers by Muhammad M U Z A M M I L Asghar
People migrate from their homes for different purposes although this
study endeavors to estimate the role of internal and external migration
on poverty alleviation in rural areas of the Multan district. Binary
logistic regression is applied to the data of 170 rural households. Poverty
has been measured by the headcount index, poverty gap, and squared
poverty gap, estimates show the high incidence of poverty in rural areas
of Multan district. The findings reveal that rural to urban migration,
foreign remittances, educational attainment of the household head,
household head age and livestock population turn out to be discouraging
aspects of poverty while physical disability and household size turn out
to be encouraging aspects of poverty. To eradicate poverty easiness in
internal and external migration should be ensured by the government.
Pakistan. For this purpose, the data of one hundred respondents was
collected from 23 union councils of Bahawalpur City using a
convenient sampling technique. A questionnaire comprising closeended questions was used for data collection. For data analysis, the
Ordinary Least Square method is used. The OLS estimates show that
education, mutual love and mutual understating are found to be
positively related to the duration of marriage whereas economic
issues, family interference and infertility are found to be negatively
related to the duration of marriage. The influence of variables
education, mutual love, mutual understating and infertility on the
duration of love is found to be statistically insignificant. Therefore,
based on the outcomes of the study, it is concluded that
socioeconomic factors are vital to influence the duration of marriage
and labor force participation in influencing women's
empowerment in Pakistan. The primary data were collected from
200 female respondents from Khanewal district using the
Ordinary Least Squares (OLS) technique for econometric
analysis. These women working along with their family
members are raising their livelihood for their household. The
study concludes that the age of the respondents, labor force
participation, educations of the respondent and education of the
household head (husband/father) are positively influencing
women empowerment. However, females living in urban areas
have vast opportunities in terms of jobs, education and
infrastructure facilities. The study suggests that government
should pursue development expenditure on schools at the
primary and secondary level, so that attainment of education can
be available easily for females living in remote areas. The
development of vocational training schools would enhance the
skills of females to strengthen and empower them socioeconomically, for their future endeavors
use, FDI and renewable energy on environmental degradation in
38 OIC countries using panel data from 2003 to 2021. For data
estimation, the authors employed the CD test, slope
homogeneity test, CIPS and CADF test, FGLS model, PCSE
model and Dumitrescu Hurlin panel causality test. It is found
that the variables have cross-sectional dependence, slope
heterogeneity, heteroskedasticity, and autocorrelation in a
model. The Westerlund test of cointegration also ensures the
cointegration among variables in a model while panel unit root
tests found the mixed integration order of variables. The FGLS
model shows that FD and renewable energy consumption
negatively and significantly influence CO2 emissions in OIC
countries. The outcomes also show that the use of ICT and FDI
inflows in OIC countries are positively related to CO2 emissions.
The PCSEs model is used as a robustness estimation technique
which also confirms the estimates of the FGLS model. The
authors suggested that financial development should be
promoted to finance green energy projects, design regulatory
policies to prevent polluted technology from the FDI inflows and
to prevent the harmful effects of ICT on the environment, the
use of green energy resources in ICT use should be promoted.
institutions are key to progress the economy. This paper
investigates influence of financial development, institutional
quality and trade openness on inclusive growth in SAARC
countries during 1996 to 2020. The study applied different
econometric techniques for data analysis such as panel unit root
tests, Pedroni cointegration test, panel ARDL model and granger
causality test. The results show that financial development,
institutional quality and human capital are positively and
significantly related to the inclusive growth while trade openness
is negatively but insignificantly associated to the inclusive
growth in SAARC countries. The causality analysis shows a
unidirectional causality between EMP and IG, FD and inclusive
growth, institutional quality and inclusive growth, human capital
and inclusive growth while no causality is observed between TO
and IG. Keeping in view the outcomes, it is suggested that
financial development should be promoted, institutional quality
should be improved and to curtail the negative impacts of trade
on inclusive growth these countries should encourage the
exports to improve their trade balance and inclusive growth.
investigation. This paper has attempted to examine different macroeconomic variables that play a significant role in
accelerating economic growth from 1970 to 2019. The econometric results show that human capital, financial development, and industrial production are the encouraging factors of economic growth, while the variable trade openness shows a negative effect on economic growth in Pakistan. Government should design policies to invest in human capital and fixed assets; this will create job opportunities for the people and leads to high economic growth.
are used to estimate the results. The outcomes reveal that population growth rate, GDP per capita, GCF, FDI and industrialization are positively and significantly related to environmental degradation. On the other hand, the relationship between trade openness and environmental degradation is positive but statistically insignificant. It is concluded that population growth and FDI inflows are creating environmental problems in SAARC and ASEAN countries. Therefore, it is suggested that policymakers should design policies to control the population, encourage
environmentally friendly capital inflows, and encourage the use of green energy resources to reduce environmental degradation.
method, and granger causality analyses are conducted. ARDL analysis showed that urbanization negatively influences the agriculture output in Pakistan. The other variables show that agriculture land area, credit to the agriculture sector, the employed labor force in the agriculture sector, and domestic investment in the agriculture sector positively influence the agriculture output in Pakistan. Granger causality analysis specifies a unidirectional causality between urbanization and agriculture output. It is
suggested that policymakers should make strategies that impede agricultural land conversation. Provision
of agriculture credit, high-quality seeds, and fertilizers should also be ensured to boost the productivity of agriculture in Pakistan.
People migrate from their homes for different purposes although this
study endeavors to estimate the role of internal and external migration
on poverty alleviation in rural areas of the Multan district. Binary
logistic regression is applied to the data of 170 rural households. Poverty
has been measured by the headcount index, poverty gap, and squared
poverty gap, estimates show the high incidence of poverty in rural areas
of Multan district. The findings reveal that rural to urban migration,
foreign remittances, educational attainment of the household head,
household head age and livestock population turn out to be discouraging
aspects of poverty while physical disability and household size turn out
to be encouraging aspects of poverty. To eradicate poverty easiness in
internal and external migration should be ensured by the government.
Pakistan. For this purpose, the data of one hundred respondents was
collected from 23 union councils of Bahawalpur City using a
convenient sampling technique. A questionnaire comprising closeended questions was used for data collection. For data analysis, the
Ordinary Least Square method is used. The OLS estimates show that
education, mutual love and mutual understating are found to be
positively related to the duration of marriage whereas economic
issues, family interference and infertility are found to be negatively
related to the duration of marriage. The influence of variables
education, mutual love, mutual understating and infertility on the
duration of love is found to be statistically insignificant. Therefore,
based on the outcomes of the study, it is concluded that
socioeconomic factors are vital to influence the duration of marriage
and labor force participation in influencing women's
empowerment in Pakistan. The primary data were collected from
200 female respondents from Khanewal district using the
Ordinary Least Squares (OLS) technique for econometric
analysis. These women working along with their family
members are raising their livelihood for their household. The
study concludes that the age of the respondents, labor force
participation, educations of the respondent and education of the
household head (husband/father) are positively influencing
women empowerment. However, females living in urban areas
have vast opportunities in terms of jobs, education and
infrastructure facilities. The study suggests that government
should pursue development expenditure on schools at the
primary and secondary level, so that attainment of education can
be available easily for females living in remote areas. The
development of vocational training schools would enhance the
skills of females to strengthen and empower them socioeconomically, for their future endeavors
use, FDI and renewable energy on environmental degradation in
38 OIC countries using panel data from 2003 to 2021. For data
estimation, the authors employed the CD test, slope
homogeneity test, CIPS and CADF test, FGLS model, PCSE
model and Dumitrescu Hurlin panel causality test. It is found
that the variables have cross-sectional dependence, slope
heterogeneity, heteroskedasticity, and autocorrelation in a
model. The Westerlund test of cointegration also ensures the
cointegration among variables in a model while panel unit root
tests found the mixed integration order of variables. The FGLS
model shows that FD and renewable energy consumption
negatively and significantly influence CO2 emissions in OIC
countries. The outcomes also show that the use of ICT and FDI
inflows in OIC countries are positively related to CO2 emissions.
The PCSEs model is used as a robustness estimation technique
which also confirms the estimates of the FGLS model. The
authors suggested that financial development should be
promoted to finance green energy projects, design regulatory
policies to prevent polluted technology from the FDI inflows and
to prevent the harmful effects of ICT on the environment, the
use of green energy resources in ICT use should be promoted.
institutions are key to progress the economy. This paper
investigates influence of financial development, institutional
quality and trade openness on inclusive growth in SAARC
countries during 1996 to 2020. The study applied different
econometric techniques for data analysis such as panel unit root
tests, Pedroni cointegration test, panel ARDL model and granger
causality test. The results show that financial development,
institutional quality and human capital are positively and
significantly related to the inclusive growth while trade openness
is negatively but insignificantly associated to the inclusive
growth in SAARC countries. The causality analysis shows a
unidirectional causality between EMP and IG, FD and inclusive
growth, institutional quality and inclusive growth, human capital
and inclusive growth while no causality is observed between TO
and IG. Keeping in view the outcomes, it is suggested that
financial development should be promoted, institutional quality
should be improved and to curtail the negative impacts of trade
on inclusive growth these countries should encourage the
exports to improve their trade balance and inclusive growth.
investigation. This paper has attempted to examine different macroeconomic variables that play a significant role in
accelerating economic growth from 1970 to 2019. The econometric results show that human capital, financial development, and industrial production are the encouraging factors of economic growth, while the variable trade openness shows a negative effect on economic growth in Pakistan. Government should design policies to invest in human capital and fixed assets; this will create job opportunities for the people and leads to high economic growth.
are used to estimate the results. The outcomes reveal that population growth rate, GDP per capita, GCF, FDI and industrialization are positively and significantly related to environmental degradation. On the other hand, the relationship between trade openness and environmental degradation is positive but statistically insignificant. It is concluded that population growth and FDI inflows are creating environmental problems in SAARC and ASEAN countries. Therefore, it is suggested that policymakers should design policies to control the population, encourage
environmentally friendly capital inflows, and encourage the use of green energy resources to reduce environmental degradation.
method, and granger causality analyses are conducted. ARDL analysis showed that urbanization negatively influences the agriculture output in Pakistan. The other variables show that agriculture land area, credit to the agriculture sector, the employed labor force in the agriculture sector, and domestic investment in the agriculture sector positively influence the agriculture output in Pakistan. Granger causality analysis specifies a unidirectional causality between urbanization and agriculture output. It is
suggested that policymakers should make strategies that impede agricultural land conversation. Provision
of agriculture credit, high-quality seeds, and fertilizers should also be ensured to boost the productivity of agriculture in Pakistan.