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Policy Intervention and Financial Sustainability in an Emerging Economy: A Structural Vector Auto Regression Analysis
The purpose of the study is to observe the impact of policy intervention on financial sustainability using the structural vector autoregression (SVAR) analysis. The population of the study is the manufacturing sector of Pakistan, which is an emerging economy. Data for 249 firms operating in the manu...
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Published in: | Frontiers in psychology 2022-08, Vol.13, p.924545 |
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description | The purpose of the study is to observe the impact of policy intervention on financial sustainability using the structural vector autoregression (SVAR) analysis. The population of the study is the manufacturing sector of Pakistan, which is an emerging economy. Data for 249 firms operating in the manufacturing sector are taken, collected from Datastream from 2005 to 2019, with total observations of 2,400. To conduct the analysis, R software is used for its better visualization. Results show that firm performance, corporate governance, and sectoral policies have a positive and long-term impact on financial sustainability, whereas earning management and financialization not only have a negative impact, but this impact affects the operations of the corporate for a longer period. This study would be helpful for policymakers as it gives a framework for financial sustainability based on the policies and strategies developed by the sector. |
doi_str_mv | 10.3389/fpsyg.2022.924545 |
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subjects | financial sustainability financialization firm performance impulse response function Psychology R software SVAR |
title | Policy Intervention and Financial Sustainability in an Emerging Economy: A Structural Vector Auto Regression Analysis |
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