scholarly journals AUTOREGRESSIVE DISTRIBUTED LAG APPROACH TO THE INCOME INEQUALITY AND FINANCIAL LIBERALIZATION NEXUS: EMPIRICAL EVIDENCE FROM TURKEY

2019 ◽  
Vol 9 (6) ◽  
pp. 1-15 ◽  
Author(s):  
Onur Ozdemir
2021 ◽  
Vol 13 (11) ◽  
pp. 6411
Author(s):  
Muhammad Shahid Hassan ◽  
Haider Mahmood ◽  
Muhammad Ibrahim Saeed ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Noman Arshed ◽  
...  

Institutions help to streamline the economic activity-related procedures, where government intervention might be involved. Institutions also play a significant role in social sustainability. The findings using the Autoregressive Distributed Lag approach to cointegration for the period from 1984–2019 reveal that investment portfolio and democratic accountability reduce poverty in Pakistan both in the long and short run. Moreover, democratic accountability helps to reduce income inequality, but the investment portfolio’s role is not significant. The literacy rate helps to reduce income inequality, and inflation increases poverty and income inequality. The remittances increase income inequality, and urbanization increases poverty. To eradicate poverty and income inequality, the governments should be accountable for their actions to the general public while they remain in power. If they do not deliver as per their manifestoes, they will not be reelected in the next election. Moreover, there is a dire need to redefine the role of an investment portfolio to reduce the risk of investment. So, investments would increase economic activities and could reduce poverty and income inequality. This study contributes to the literature by inquiring about the role of the investment portfolio and democratic accountability in social sustainability by reducing poverty and income inequality. This study only considers Pakistan’s economy due to limitations of poverty data availability in other countries. The scope could further be broadened by accessing data for a wider Asia region to test the role of the investment portfolio and democratic accountability to reduce poverty and income inequality.


2015 ◽  
Vol 15 (4) ◽  
pp. 443-453 ◽  
Author(s):  
Jai S. Mah

This paper uses data for China during the period 1982–2010 and tests the effect of FDI inflows on income inequality, which is measured by the urban Gini coefficient. A small-sample cointegration test and autoregressive distributed lag bounds test are used as the cointegration tests. According to them, the variables under consideration are not cointegrated. The GMM estimation results show that income inequality worsens with FDI flows into China. The evidence from China shows a non-linear effect of FDI inflows on income inequality.


Author(s):  
Aderopo R. Adediyan

Studies on money supply determinants focus on the Classicists or Monetarists, Keynesians and post-Keynesians variables like income and money multiplier. This research extends the literature on money supply determinants to include the influence of financial liberalization on money supply with a reference to Nigeria between 1980 and 2019, using the Autoregressive Distributed Lag (ARDL) approach. Data used for the study were collected from the 2019 CBN Annual Statistical Bulletin. The study found that financial liberalization is an important factor in determining money supply in Nigeria, in addition to currency ratio, required reserve ratio and high-powered money. As a result, the extent of the liberalization of the financial sector matters in decisions on the regulation of money supply in the economy.


Author(s):  
Zulfa Nazli ◽  
Abd. Jamal ◽  
Muhammad Nasir

This study investigates the effect of economic growth, urban population, unemployment, and human capital on income inequality in Indonesia. Annual data collected from World Development Indicator (WDI) is used from 1984 to 2019. The analytical method of this research is Autoregressive distributed lag (ARDL) to examine the short and long-term relationships. The results show that economic growth positively and significantly affects income inequality in the short and long term. The urban population variable has a significant negative effect in the short term but not in the long term. The unemployment variable has a significant positive effect in the long run. Finally, human capital negatively affects the short term while not in the long term. Based on these findings, it is recommended that the government stabilize inequality by increasing progressive taxes, creating jobs, providing soft skills training beyond formal education, and socializing the concept of commuter work.


2021 ◽  
pp. 097317412110248
Author(s):  
Md. Iqbal Bhuyan ◽  
Keun-Yeob Oh

In this study, we investigate the effects of textile and garment (T&G) exports on income inequality in Bangladesh. Focusing on T&G exports alone, which contribute more than 90% of the country’s total exports, we hypothesize that the export sector of a country being concentrated on a single industry widens income inequality. Based on time series data over the period 1991–2015, the autoregressive distributed lag (ARDL) bounds testing approach to cointegration indicates that there is a long-run relationship between the variables. It seems that exports from the T&G sector have a statistically significant effect on income inequality in the long run, such that the high concentration of T&G exports contributes to widening income inequality in Bangladesh. This result implies that policies oriented toward export diversification are necessary so that people working in other sectors can also engage in income generating activities from exports. Our results also demonstrate that income inequality rises in the initial stages of economic growth. Then, after reaching a threshold level of growth, income inequality falls. This result confirms the validity of the Kuznets hypothesis in the case of Bangladesh.


2017 ◽  
Vol 6 (3) ◽  
pp. 229-246 ◽  
Author(s):  
Rana Muhammad Adeel-Farooq ◽  
Nor Aznin Abu Bakar ◽  
Jimoh Olajide Raji

Purpose The purpose of this paper is to empirically examine the effects of financial liberalization and trade openness on the economic growth of two countries, namely, Pakistan and India for the period 1985-2014. Design/methodology/approach This study uses the autoregressive distributed lag technique, which allows mixed order of integration. In addition, it uses the principal component method to create an index for financial liberalization to examine how it affects the economic growth of the selected countries. Findings The findings reveal that in the short and long run, trade openness has positive effect on the Pakistan’s economic growth while the financial liberalization has positive impact only in the long run. In the case of India, both financial liberalization and trade openness positively and significantly influence the economic growth in the short and long run. Practical implications By comparing the results of both countries, trade openness and financial liberalization increase the economic growth of India more than that of Pakistan. These results suggest that Pakistan should consider appropriate positive policies regarding financial liberalization and trade openness to achieve high and stable economic growth in the future. Originality/value This study creates financial liberalization index by using the principal component analysis method to explain the role of financial liberalization in the economic growth of Pakistan and India. In addition, it makes comparison of the results based on which country benefits most from the liberalization of trade and financial sectors. Only very few studies have examined these countries, yet their results have remained inconclusive as well.


2021 ◽  
pp. 105888
Author(s):  
Kwang-Jing Yii ◽  
Chai-Thing Tan ◽  
Wing-Ken Ho ◽  
Xiao-Hui Kwan ◽  
Feng-Ting Shim Nerissa ◽  
...  

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