Search

This research aims to quantify the linear and non-linear relationship between debt and economic growth in selected developing economies. Based on theoretical arguments and annual data considerations in modelling the debt and growth as a complex relationship across countries, our panel methodology is based on the fixed effect technique. Our core finding indicates that government debt lowers the GDP in selected developing economies. We also find that the urban population is a key factor that improves economic growth. Moreover, government expenditures on health and industrialization are helpful to enhance the growth of the economies. Our study also suggests increased exports, industrial development, and investment in education for growth. We also propose certain supporting strategies to reduce the adverse effects of debt-growth relation in the considered economies. Given developing economies’ status, the prerequisite for broad, dynamic and rule-based debt policy is of paramount importance, ensuring the factual choices among numerous possibilities, addressing financial constraints and ensuring intergenerational welfare impact.

Education and health are considered a cornerstone for obtaining targeted development in any society. Moreover, both sectors promote prosperity greatly. In this changeable epoch, people are thought out as the real wealth of any nation and this wealth with good human capital serves the economy very efficiently and productively. This research study aims to analyse how Development Assistance Committee (DAC) aid commitment for education along with institutional quality is effective for the human development of selected Asian economies. A panel data set over 2011–2018 is used for this analysis in Asian countries. GMM results show a significant and positive relationship between aid commitment for education and the human development of these economies. A more interesting result is that financial development seems to boost up human deployment in the selected Asian economies. The development of the textile industry is significantly influenced by education, especially considering the effects of OECD's Development Assistance Committee (DAC) Aid Commitments for education on human development in Asian countries. There is a dire need to reconsider more allocation of resources and aid to education and health to utilize these inflows at the maximum level for targeted development.

The main aim of this research paper is to examine the linkage between safety training, safety rules and procedures, safety performance and protection against hazards in Pakistani construction companies related to its effects on the textile industry. The primary responsibility of the organization is to provide a safe workplace to the workers where workers do their work safely. The current study examines the relationship between safety training, safety rules & procedures and safety performance. A total of 450 workers from 15 companies participated in the study. A questionnaire survey was used to collect the data. The findings revealed that both safety training and safety rules and procedure were significantly and positively associated with safety compliance. The results propose that construction companies should give proper training to their worker in order to avoid any bad incidents. Similarly, adequate safety rules and procedures are essential for a safer work environment. The textile industry is a very important sector in Pakistan with a significant impact on employment and the labour market.

This paper investigates the benefits of forming an internationally diversified portfolio in the stock markets of Bangladesh, India and Pakistan using the stock market indices data from April 2013 to March 2020. The portfolio comprises of three stock market indices from Pakistan, India and Bangladesh. The goal is to identify financial opportunities for traditional clothing industry in South Asia. Bangladesh, India and Pakistan are neighbouring countries in South Asia. Tradition, culture and specific ethnic elements influence traditional clothing in the case of the selected country cluster consisting of Bangladesh, India and Pakistan. Our empirical results indicate that internationally diversified portfolio does not reduce the risk due to global market integration in the background. Furthermore, ARCH and GARCH models reveal that large change in conditional variance is followed by large changes in conditional variance whereas small change in conditional variance is followed by small changes in conditional variance.

This research study explores the diversification opportunity among 18 European stock market indices for the sample period from January 2001 to December 2019. However, financial education plays an important role in the development of the textile industry, considering the dynamics of the companies listed on the European stock exchanges. The correlation matrix, pairwise cointegration and Johansen cointegration reveal that selected 18 European stock market indices do not reduces the portfolio risk because exhibit higher positive correlation among them, and their movement pulsed in tandem. Potential investors are attracted by high investment opportunities in order to maximize their return based on portfolio diversification. Financial education can effectively contribute to the sustainable growth of the textile industry in Europe. This empirical research provides an integrated perspective on the long-term evolution of certain major European stock exchange indices. The findings have significant implications for investors interested in selecting these European stock indices in order to diversify their portfolio risk. Our study also imply that selected stock indices have been strongly affected by similar political and financial belies across Europe thus, eliminating the possibility of portfolio risk diversification.

This empirical study investigates the leverage effect in six Eastern European countries under normal and non-normaldistribution densities for the sample period from January 2020 to August 2020. We find three countries, Bulgaria, CzechRepublic and Russia which are subject to ARCH effect whereas Poland, Romania and Hungary do not exhibit ARCHeffect in daily stock returns. Further, our study finds leverage effect, where past bad news affects is asymmetrical, pastnegative returns cause more volatility in current stock returns as compared to past positive returns, in three EasternEuropean countries. Based on the AIC and BIC model selection criteria we find that the non-normal student t-distributionand GED produce reliable estimates for Bulgaria, Czech Republic and Poland, respectively. The autocorrelation functionQ1 statistic confirms the insignificance of autocorrelation in residuals of TGARCH model. The impact of stock marketdynamics on other industries, such as pharmaceutical industry, textile and clothing industry, automotive industry issignificant, especially in the conditions of COVID-19 pandemic

Following the work of Kaminsky, Lizondo, and Reinhart (1997), Signals Extraction Approach has been adopted with some extensions for South-East Asian (SEA) region to investigate the performance of the technique as an Early Warning System (EWS) during Asian Financial Crisis (AFC) and Global Financial Crisis (GFC). This approach is very original in the context of investigating the impact on the dynamics of the textile industry in South-East Asia. Two additional approaches namely Signal to Noise Balance (STNB) and Kuipers Score (KS) have also been utilised. Outcome suggested that variables performed well both during AFC and GFC. However, predictive ability of variables was less during GFC compared to the AFC indicating that there may exist some complex phenomenon which requires composite statistical methods.

This study has attempted to investigate the consequences of CO2 emissions on infants’ health in Pakistan over the period of 1975 to 2013. Several economic factors have been employed in our analysis and the estimates show insignificant impact of CO2 emissions in affecting children mortality. Increasing health facilities lowers children mortality over a short period were also observed but the relationship inversed in the long-run. In short-run, urbanization appeared as a decreasing factor to children mortality. While income inequality remains inversely related with children mortality. Both poverty and fertility are found enhancing factors to children deaths. The poor sector of the economy seemed to observe higher children mortality due to inadequate health facilities and low standards of living. Overall, we have observed greater impact of economic factors in explaining children mortality than CO2 emissions in case of Pakistan. These issues have a significant impact on the representative industries in Pakistan, such as the cotton textile and traditional clothing industry (apparel manufacturing).

Local apparel and textile manufacturing industry in Taiwan is a sector of great importance for sustainable economicgrowth. A stock market is an effective barometer indicating the economic health of a country and Taiwan is a case evenmore special. However, is Taiwan a black swan phenomenon for local apparel and textile manufacturing industryconsidering its economic growth and financial perspectives? In addition to existing literature, this research articleprovides a new robust nonlinear regression-based model for stock exchange prediction for Taiwan stock market. Thefinancial data series used for the econometric analysis include the period from January 2000 to July 2018 for 13 mainstock markets from countries all around the globe, such as: Taiwan, Spain, Poland, Hungary, Romania, Canada, USA,Japan, Germany, France, UK, India, and China. The final multiple regression equation provides a new prediction modelfor Taiwan’s main stock market index. A sustainable economic growth in Taiwan is necessary to achieve major objectivessuch as social justice, poverty alleviation and natural environment protection. The stock market in Taiwan plays anessential role in order to stimulate economic growth and technological progress by attracting foreign investment andforeign capital. In a globalized economy, the inter-linkages between stock markets are complex and can significantlyinfluence Taiwan’s sustainable development.

The aim of this research study is to examine the impact of domestic portfolio diversification strategies in Toronto Stock Exchange (TSX) on Canadian textile manufacturing industry in order to obtain attractive investment opportunities. Dissipation of benefits of globally diversified portfolios due to overwhelming convergence among the international and regional stock markets around the globe have given rebirth to the idea of domestic portfolio diversification particularly after the global financial crisis of 2008. Textile industry in Canada is challenging but can achieve higher performance based on Toronto Stock Exchange behavior. Therefore, this is a complex applied research focused on investigating TSX as standalone stock market for domestic diversification opportunities. For this purpose, correlation coefficients, pairwise cointegration, multiple cointegration and causality of sectors in TSX have been examined. The empirical results show that majority of the sectors in TSX do not share high correlation with each other and they are also not highly cointegrated. These empirical findings indicate that TSX presents attractive opportunities for domestic portfolio diversification.