Investment, Poverty and Growth Nexus in Pakistan: Empirical Evidence from ARDL Modeling Approach to Co-Integration

Hina Ali, Imran Sharif
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引用次数: 2

Abstract

This study analyzes the nexus of investment, poverty and growth in Pakistan. It will develop comprehensive macro economic model of Pakistan economy with the desire of amplification and provided that a long-term result for the determined investment-poverty-growth discrepancy veterans. The significant level of investment and sustained economic growth may be the major driving forces for poverty decrease in Pakistan. The level of investment also assists the poor through a direct allocation influence as well as tortuous growth effect, in both the long run and short run. To detect the long term and short term effects of economic development, poverty and investment, an ARDL modeling approach to co- integration is functional, which is the suitable technique  in excess of method of integration after examining the stationary level of the data through ADF Test. The bound testing approach is exploited for cointegration to analyze the presence of long term association amid variables and ECM models are verbalized for short term analysis. The model is predictable with time-series data from 1972 to 2013 confine mutually the long-run and short-run forceful goods of the economy. The model is subjected to a sequence of strategy situation  that assesses a mixture of options for government to recover the prolific ability of the economy, thus attain continued hasten growth and a decrease in  Pakistan`s poverty. JEL Classification Codes: G12, G 14
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巴基斯坦的投资、贫困和增长关系:来自协整的ARDL模型方法的经验证据
本研究分析了巴基斯坦的投资、贫困和增长之间的关系。本研究将建立巴基斯坦经济的综合宏观经济模型,并为长期存在的投资-贫困-增长差异提供一个长期的结果。大量的投资和持续的经济增长可能是巴基斯坦减少贫困的主要动力。在长期和短期内,投资水平还通过直接的分配影响和曲折的增长效应来帮助穷人。为了检测经济发展、贫困和投资的长期和短期效应,用ARDL建模方法进行协整是有功能的,它是在通过ADF检验检验数据的平稳性水平之后,比积分方法更合适的技术。利用边界检验方法进行协整分析变量之间长期关联的存在,并将ECM模型用于短期分析。该模型是可预测的,从1972年到2013年的时间序列数据相互限制经济的长期和短期有力商品。该模型受到一系列战略情况的影响,评估了政府恢复经济多产能力的各种选择,从而实现持续的加速增长和减少巴基斯坦的贫困。JEL分类代码:G12, g14
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