The textile industry in Pakistan, a cornerstone of the nation's economy, faces a critical junctur... more The textile industry in Pakistan, a cornerstone of the nation's economy, faces a critical juncture in its evolution as it grapples with the imperative of sustainable supply chain management (SSCM). This study investigates the multifaceted challenges and opportunities embedded n the industry's transition towards sustainability, acknowledging its significant economic contributions while addressing environmental concerns. This study examines the industry's sustainability transition's complex challenges and opportunities, recognizing its economic and environmental impacts. The research examines backlash management
This study is related to the investigation of impact of COVID-19 on internet usage. An ordinary l... more This study is related to the investigation of impact of COVID-19 on internet usage. An ordinary least square method is implied on data collected from Jan-21 to Oct-21. The assume effect variable is total number of subscribers of broadband. Total death cases are assumed cause variable whereas newly reported cases and economic growth are moderating variables. Test for unit root shows all variables are found to be stationary at first difference. All variables are normally distributed evidence from Jarque-Bera probability. The Kurtosis value explains that the variables are playkutric. A positive correlation is observed between death cases and total internet subscribers. The regression model is significant and the variables explain 96%. The total deaths have significant positive impact on internet subscribers. The estimation result shows coefficient value of 0.74884. Granger causal test shows that new deaths cases do cause total number of subscribers. The model satisfy all necessary assumption of ordinary least square. There no auto correlation, multi collinearity, and heteroskedasticity in the model. Whereas the variables are not cointegrated with each other. The cusum and cusum of squares shows that the model is stable.
The study highlights the issues of export potential faced by Pakistan’s cotton industry regarding... more The study highlights the issues of export potential faced by Pakistan’s cotton industry regarding the competitiveness in the international perspective. The methodology of Balassa’s Revealed Comparative Advantage is used to determine the comparative advantage at 3-digit level of Standard International Trade Classification using United Nation Commodity Trade Statistics of Import and Export. The paper discusses the changing patterns of the Pakistan’s cotton trade with its comparison with the world. In the end analysis of the recent years shows that, especially the time period from 2002 to 2012. The study indicates that if government does not make major changes to increase the cotton yield this sector will lose its potential beyond repair and Pakistan will lose a great source of income. Study suggests that there is need to strengthen the competitiveness of cotton by exports encouraging trade policy, research and development in cotton production and proactive disaster management policy.
This study investigates intra-industry trade (IIT) of Pakistan for 31 years with eleven selective... more This study investigates intra-industry trade (IIT) of Pakistan for 31 years with eleven selective major trading economies and country-specific determinants of IIT of Pakistan using gravity model. OLS technique is used on panel data of 341 observation and UN COMTRADE and World Development Indicator (WDI) as data source the result shows 24.93 % of IIT of Pakistan with its selective trading partners and R-square is 88%. This study provides 31 years average levels of IIT of Pakistan, both one-digit SITC commodity wise and country wise.
The textile industry in Pakistan, a cornerstone of the nation's economy, faces a critical junctur... more The textile industry in Pakistan, a cornerstone of the nation's economy, faces a critical juncture in its evolution as it grapples with the imperative of sustainable supply chain management (SSCM). This study investigates the multifaceted challenges and opportunities embedded n the industry's transition towards sustainability, acknowledging its significant economic contributions while addressing environmental concerns. This study examines the industry's sustainability transition's complex challenges and opportunities, recognizing its economic and environmental impacts. The research examines backlash management
This study is related to the investigation of impact of COVID-19 on internet usage. An ordinary l... more This study is related to the investigation of impact of COVID-19 on internet usage. An ordinary least square method is implied on data collected from Jan-21 to Oct-21. The assume effect variable is total number of subscribers of broadband. Total death cases are assumed cause variable whereas newly reported cases and economic growth are moderating variables. Test for unit root shows all variables are found to be stationary at first difference. All variables are normally distributed evidence from Jarque-Bera probability. The Kurtosis value explains that the variables are playkutric. A positive correlation is observed between death cases and total internet subscribers. The regression model is significant and the variables explain 96%. The total deaths have significant positive impact on internet subscribers. The estimation result shows coefficient value of 0.74884. Granger causal test shows that new deaths cases do cause total number of subscribers. The model satisfy all necessary assumption of ordinary least square. There no auto correlation, multi collinearity, and heteroskedasticity in the model. Whereas the variables are not cointegrated with each other. The cusum and cusum of squares shows that the model is stable.
The study highlights the issues of export potential faced by Pakistan’s cotton industry regarding... more The study highlights the issues of export potential faced by Pakistan’s cotton industry regarding the competitiveness in the international perspective. The methodology of Balassa’s Revealed Comparative Advantage is used to determine the comparative advantage at 3-digit level of Standard International Trade Classification using United Nation Commodity Trade Statistics of Import and Export. The paper discusses the changing patterns of the Pakistan’s cotton trade with its comparison with the world. In the end analysis of the recent years shows that, especially the time period from 2002 to 2012. The study indicates that if government does not make major changes to increase the cotton yield this sector will lose its potential beyond repair and Pakistan will lose a great source of income. Study suggests that there is need to strengthen the competitiveness of cotton by exports encouraging trade policy, research and development in cotton production and proactive disaster management policy.
This study investigates intra-industry trade (IIT) of Pakistan for 31 years with eleven selective... more This study investigates intra-industry trade (IIT) of Pakistan for 31 years with eleven selective major trading economies and country-specific determinants of IIT of Pakistan using gravity model. OLS technique is used on panel data of 341 observation and UN COMTRADE and World Development Indicator (WDI) as data source the result shows 24.93 % of IIT of Pakistan with its selective trading partners and R-square is 88%. This study provides 31 years average levels of IIT of Pakistan, both one-digit SITC commodity wise and country wise.
Uploads
Papers by Umair Nizami