An estimation of the macroeconomic determinants of income poverty in Pakistan? Evidence from a non‐linear ARDL approach

2021 ◽  
Author(s):  
Muhammad Zubair Chishti ◽  
Abdul Rehman ◽  
Muntasir Murshed
Keyword(s):  
Income Poverty ◽  
Ardl Approach ◽  
Non Linear ◽  
Macroeconomic Determinants

scholarly journals Nexus Between Foreign Direct Investment Inflow, Renewable Energy Consumption, Ambient Air Pollution, and Human Mortality: A Public Health Perspective From Non-linear ARDL Approach

2022 ◽  
Vol 9 ◽  
Author(s):  
Muhammad Haroon Shah ◽  
Sultan Salem ◽  
Bilal Ahmed ◽  
Irfan Ullah ◽  
Alam Rehman ◽  
...  
Keyword(s):  
Air Pollution ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Direct Investment ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Series Data ◽  
Human Mortality ◽  
Ardl Approach ◽  
Non Linear

A huge foreign direct investment (FDI) inflow has been witnessed in China, though on the one hand, it brings a significant contribution to economic growth. On the other hand, it adversely affects the ambient air pollution that may affect human mortality in the country. Renewable energy (RE) usage meets the country's energy needs with no adverse effect on the environment. Therefore, this study is trying to empirically analyze the effect of FDI inflow on human morality and RE consumption in China. We used time-series data for 1998–2020 and applied a non-linear ARDL approach for the estimations. The empirical outcomes suggest that FDI inflow positively affects mortality and RE. There is also unidirectional causality running from RE and pollution to mortality. In addition, the relationship among the variable verifies the existence of a non-linear relationship. The government needs policy guidelines to further boost FDI inflow due to its positive aspects. However, to reduce the negative effect on the environment and human morality, the extensive usage of RE should be adopted. Indeed, proper legislation for foreign firms might be a good step toward quality environmental and longevity of human health in society.

scholarly journals Macroeconomic Determinants of Consumption Inequality in Nigeria: Does Agricultural Productivity Matter?

2021 ◽  
Vol 4 (4) ◽  
pp. 253
Author(s):  
Oziengbe Scott Aigheyisi ◽  
Presley Kehinde Osemwengie
Keyword(s):  
Agricultural Productivity ◽  
Domestic Investment ◽  
Investment Environment ◽  
Agriculture Sector ◽  
Long Run ◽  
Telecommunication Infrastructure ◽  
Ardl Approach ◽  
Short Run ◽  
Error Correction Modeling ◽  
Macroeconomic Determinants

The paper examines the effect of agricultural productivity and other macroeconomic variables on consumption inequality in Nigeria. The ARDL approach to cointegration and error correction modeling was employed for the analysis. The study found that agricultural productivity and domestic investment reduce consumption inequality in the long run. FDI was also found to be associated with reduction in consumption inequality in the short run, but its long run effect was not statistically significant. Based on the evidence, the study recommends as measure to reduce consumption inequality in the country, increased investment in the agriculture sector to enhance its productivity, and improvement in the investment environment through infrastructural development, including energy, road, telecommunication infrastructure, favourable, tax policies, enhanced national security, etc. to encourage domestic investment and enhance the attractiveness of the economy to FDI.

scholarly journals Investor Sentiments and Trading Volume’s Asymmetric Response: a Non-linear ARDL Approach Tested in PSX

2019 ◽  
Vol 5 (1) ◽  
pp. 47-56
Author(s):  
Irum Saba ◽  
Maria Shams Khakwani ◽  
Rehana Kouser ◽  
Abdul Wahab
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Market Liquidity ◽  
Short Term ◽  
Asymmetric Response ◽  
Ardl Approach ◽  
Investor Sentiments ◽  
Non Linear ◽  
Dynamic Linkages

The research paper entitled “Investor sentiments and trading volume’s asymmetric response: A non linear ARDL approach tested in PSX” is an attempt to investigate the dynamic linkages between trading volume and investor sentiments for Pakistan Stock Exchange (PSX) 100 index. Two sentiments indicators have been used to enlighten the linkages. These indicators are overconfidence and net optimism and pessimism. Trading volume has been used as a proxy for the measurement of market liquidity. Non-Linear Asymmetric Autoregressive Distributed Lag (NARDL) as well as Dynamic Conditional Correlation (DCC) GARCH have been used to explain the dynamic linkages between trading volume and investor sentiments. Empirical findings suggested an asymmetric long-term market liquidity reaction to investor sentiment as well as upcoming three-year correlation have been forecasted between the trading volume and investor sentiments. In the short term, stock market liquidity reacts rapidly and asymmetrically to changes in overconfidence sentiment while the net optimism and pessimism sentiment have insignificant short-term impact on trading volume.

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