Objective: The objective of this study is to look at the causes and consequences of green human resource management in Pakistani oil and gas companies. Methodology: The data is collected from Pakistani oil and gas corporations. The reason for concentrating on this business is that it practices the most environmentally friendly labor practices of any other The PLS approach is used to evaluate the data received from 121 managers. Findings: It has been found that top-level management support and environmental orientation are prerequisites to implementing green human resource management in this study. Second, it is also discovered that implementing green human resource management increase employee happiness, organizational commitment, and environmental performance. Because it provides new insights into green human resource management as well as a roadmap for accomplishing sustainable development goals, this study is important both theoretically and practically. Implications: Employees play a critical role in helping companies achieve environmental sustainability because they are the backbone of organizations and a significant source of competitive advantage by implementing green human resource management practices, such as establishing environmental performance metrics, training employees and rewarding them for their environmental performance, this can be achieved.
The strategies expected to mitigate poverty tend to identify factors that are closely related to poverty and that could have influenced the policy implications. A household level data was collected to examine the poverty status and factors affecting poverty in Southern Punjab. A logistic regression technique was employed for the present analyses. The findings show that age and education of the household head, own house, spouse participation, remittances, number of earners in the household and physical assets reduces the probability of being poor in Southern Punjab. However, large household size, occupation in the primary sector, high dependency ratio and mental disability are associated with an increased probability of being poor in Southern Punjab. Government should adopt effective policy measures to generate employment and encourage the attainment of education for the poor households for the mitigation of poverty in this region.
This study has attempted to scrutinize the impact of unemployment on the growth rate during the period 1974 to 2020 in Pakistan. This study has employed the Autoregressive Distributed Lag (ARDL) technique for empirical investigation. GDP growth rate is a dependent variable, employed as a proxy for economic growth. In the present study, explanatory variables are unemployment, population growth rate, rate of inflation, foreign direct investment and government expenditure. The empirical findings from the study show that unemployment and inflation rates both show a negative relationship with economic growth and are significant statistically. The population growth rate has a positive and statistically significant impact on economic growth. Short-run cointegration exists between the variables. It is suggested from the results that government should adopt adequate measures to generate employment opportunities to accelerate economic growth and reduce unemployment in the country.
This research study is about the impact of two major economic vices namely inflation and unemployment on the economic growth in Pakistan. The research study brought to light the varying effects of both variables on economic growth in different time eras. The researcher has chosen data on the Pakistan economy ranging from 1972 to 2021. The data has been sourced from authentic sources like WDI, IFS, and different issues of Pakistan economic surveys. The significance of the research study was in throwing light on the prevailing scenario where Pakistan is faced with multiple challenges both internally and externally. The study has adopted the Augmented Dickey-Fuller technique for checking stationary, the ARDL approach for checking long-run and short-run relationships, and the CUSUM and CUSUMSQ tests for stability of the coefficients.
Purpose: The relationship between capital account liberalization and economic growth has been a fervently discussed subject among economists and policy-makers. The role of institutions is imperious to comprehensively investigate the impact of financial openness on growth. The objective of the study is to inspect the nexus between financial liberalization and economic growth after incorporating the contribution of institutional quality. Methodology: A panel of data on 17 emerging market economies (EMEs) is used for the period 1995-2019. We employ the GMM technique by using different de facto and de jure measures of financial liberalization along with institutional variables. Findings: The empirical results illustrate that better quality institutions strengthen the connection between capital account liberalization and output growth in the emerging World. Implications: The policymakers should focus on the more beneficial nature of financial liberalization such as FDI. Also, the policy should be aiming at availing the services of efficient human resources with proper institutional infrastructure.
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