Determinants of household financial vulnerability in Malaysia and its effect on low-income groups

2018 ◽  
Vol 6 (1) ◽  
pp. 32
Author(s):  
Abidullah Abid ◽  
Muhammad Hakimi Mohd Shafiai
Keyword(s):  
Low Income ◽  
Negative Relationship ◽  
Financial Vulnerability ◽  
Financial Shocks ◽  
Macroeconomic Factors ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Income Groups ◽  
Long Run ◽  
Low Income Groups

Household financial vulnerability is an important area of research in household economic studies. Hence, a number of studies have attempted to identify the factors that make households vulnerable to financial shocks. In Malaysia, the research is scant on this topic especially when it comes to low-income households. Therefore, the study aims to identify the macroeconomic factors that make the household vulnerable to financial shocks. For this purpose, the study uses the autoregressive distributed lag modelling approach as an estimation technique. The results revealed that household debt, prices of goods, interest rate and unemployment have a positive long-run relationship with household financial vulnerability while income has a negative relationship. Further analysis confirms that these predictors of financial vulnerability also affect the low-income groups. This study would be of interest to the academicians and policy makers in the area of household economics.

Macro-Economic Disequilibrium and Educational Development in Nigeria between 1980-2017

2019 ◽  
Vol 10 (08) ◽  
pp. 20592-21600
Author(s):  
Gbadebo Salako ◽  
Adejumo Musibau Ojo ◽  
Jaji Ayobami Francis
Keyword(s):  
Time Series Data ◽  
Educational Development ◽  
Negative Relationship ◽  
Series Data ◽  
Explanatory Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Stationarity Test ◽  
Level I

This study empirically investigates the effects of macroeconomic disequilibrium on educational development in Nigeria. The study employed time series data between 1980 and 2017. Autoregressive Distributed Lag method of estimation was employed. The result revealed that the variables stationarity test were mixed between the first difference I(I) and level I(0). The cointegration result shows that there exist long run relationship between the variables. The result revealed that Balance of payment, Poverty, Debt rate inflation and unemployment exhibited negative relationship with educational development. The estimation result showed that all explanatory variables account for 88% variation of educational development in Nigeria. It is therefore recommended that government should fast track policies that can stabilize inflation and exchange rate in the country. Also, Policies must be formulated to reduce poverty and unemployment.

scholarly journals Revisiting the debt-growth nexus: Evidence from India

2021 ◽  
Vol 66 (231) ◽  
pp. 151-171
Author(s):  
Pratibha Saini ◽  
Krishna Muniyoor
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Negative Relationship ◽  
Sustainable Growth ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Significant Negative Relationship ◽  
Primary Surplus

The main purpose of this study is to examine the debt-growth nexus in India over the period 1984-2019 using Bayer-Hanck and Autoregressive Distributed Lag (ARDL) cointegration techniques. The findings of both techniques suggest the existence of a negative relationship between public debt and economic growth in the long run. The results also confirm the significant negative relationship between foreign exchange reserves and economic growth. Interestingly, the test results confirm the unidirectional causality running from public debt to economic growth in the case of India. From a policy perspective, reducing public debt is imperative to achieve long-term sustainable growth. Efforts should be made to circumvent the burden of burgeoning interest liabilities by generating a primary surplus, which will facilitate debt servicing and timely repayment of debt.

scholarly journals Market concentration and foreign direct investment in the financial leasing sector of the Republic of Serbia

Skola biznisa ◽  
2020 ◽  
pp. 1-19
Author(s):  
Marija Radulović
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Negative Relationship ◽  
Market Concentration ◽  
Financial Leasing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Republic

The financial leasing market in previous years is characterised by a growth that is also expected in the coming period. Besides, developing countries are striving to attract as much foreign direct investment (FDI) as possible to accelerate economic growth and achieve macroeconomic stability. The aim of this paper is to determine whether there is a relationship between FDI and the level of market concentration in the financial leasing sector of the Republic of Serbia and to determine whether this relationship is long-term or short-term. Quarterly data from the first quarter of 2006 to the first quarter of 2019 were used. Autoregressive Distributed Lag approach (ARDL) and bounds test were used for data analysis. The results showed that there is a negative relationship between FDI and the level of market concentration in the financial leasing sector of the Republic of Serbia in the long run, while there is no statistically significant relationship between FDI and the level of market concentration in the short run.

Factors determining bank deposit growth in Turkey: an empirical analysis

2020 ◽  
Vol 14 (2) ◽  
pp. 121-132
Author(s):  
Ibrahim Nandom Yakubu ◽  
Aziza Hashi Abokor
Keyword(s):  
Money Supply ◽  
Banking Sector ◽  
Empirical Studies ◽  
Key Factors ◽  
Macroeconomic Factors ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose This paper aims to examine the key factors determining bank deposit growth in Turkey for the period 2000Q1–2016Q4. Design/methodology/approach The study employs the autoregressive distributed lag approach to investigate the effect of bank-level and macroeconomic factors on deposit growth. Findings The results reveal that bank stability, banking sector efficiency, broad money supply, economic growth, and inflation are significant determinants of deposit growth in the long run. The findings further show that in the short run, only branch expansion and broad money supply are relevant for bank deposit mobilization. Originality/value This paper departs from the extant empirical studies that focus on the determinants of individual savings behaviour in Turkey. Considering the short- and long-run time dimensions, the authors distinctively examine how bank characteristics influence deposit growth, thus presenting a relatively pioneering attempt in this context.

scholarly journals Tradisjonelle organisasjoner og nye frivillige initiativ i flyktningsituasjonen høsten 2015. Mobilisering eller forsterkning av eksisterende skiller?

2018 ◽  
pp. 127-150
Author(s):  
Audun Fladmoe
Keyword(s):  
Low Income ◽  
Voluntary Organizations ◽  
Voluntary Work ◽  
The Public ◽  
Income Groups ◽  
Long Run ◽  
Low Income Groups ◽  
Migration Crisis ◽  
Low Educated ◽  
Voluntary Initiatives

This chapter studies voluntary contributions in Norway during the refugee crisis in 2015. Due to increased asylum arrivals, the public reception centers were overloaded and there was an urgent need for assistance from civil society actors. In addition to contributions from traditional voluntary organizations, a number of new voluntary initiatives were established. This makes the migration crisis a unique case for studying new forms of engagement: Did the migration crisis mobilize new groups of volunteers, or did the situation rather reinforce existing cleavages between volunteers and non-volunteers? Based on survey panel data carried out before (2014) and after (2016) the migration crisis we analyze cleavages between volunteers and non-volunteers related to variations in sociodemographic background and political party preferences. The results show indications of both mobilization and reinforcement of existing cleavages, but in the long run existing cleavages seems to be preserved. Compared to the traditional organizations, new voluntary initiatives recruited more contributions from the young, low educated and low-income groups, but the number of ‘new’ volunteers was limited – the majority of those who contributed had previous experience as organizational volunteers. Furthermore, we find few indications that involvement during the migration crisis contributed to increased participation in traditional voluntary work a year later. Thus, the results suggest that, in the context of the migration crisis, we observed a short-term mobilization of some new groups, but in the longer run, the voluntary sector is characterized by established cleavages between volunteers and non-volunteers.

scholarly journals Rural household income diversification in developing countries: A Case study of Eritrea

2020 ◽  
Vol 175 ◽  
pp. 13014 ◽  
Author(s):  
Menghistab Debesai
Keyword(s):  
Low Income ◽  
Household Head ◽  
Negative Relationship ◽  
High Income ◽  
Regional Level ◽  
Baseline Survey ◽  
Income Diversification ◽  
Income Levels ◽  
Income Groups ◽  
Low Income Groups

Following a baseline survey in Eritrea, income diversity study among rural farming households was conducted. Two steps analysis was followed during the analysis of income levels and diversity status: (1) the regional level, and (2) the household level. Simpson Index of Diversification was used to calculate the diversity status both at household and regional level. The analysis indicated that income diversification was pervasive in all regions and households irrespective of income levels. Although income diversification was more in high income groups, it was also substantial with the “extreme” and “low income” groups. The difference was that low income groups diversified in less risky ventures as a necessity, whereas the high income groups diversify even in more risky ventures as a choice. A Tobit regression model indicated that level of education, ethnicity, household size, gross income, income per capita, and access to credit had a positive relationship with income diversity. Others such as the age of the household head, dependency ratio and size of land ownership had a negative relationship. Therefore, policy measures need to be directed towards creating a conducive condition taking into consideration the multiple sources of income, socioeconomic, demographic and institutional conditions of rural farminghouseholds.

scholarly journals Non-Performing Loans and Macroeconomics Factors: The Italian Case

Risks ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 21
Author(s):  
Matteo Foglia
Keyword(s):  
Negative Impact ◽  
Banking System ◽  
Macroeconomic Factors ◽  
Distributed Lag ◽  
Italian Case ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Domestic Credit ◽  
Macroeconomic Impact ◽  
Italian Context

The purpose of this work is to investigate the influence of macroeconomics determinants on non-performing loans (NPLs) in the Italian banking system over the period 2008Q3–2020Q4. We mainly contribute to the literature by being the first empirical article to study this relationship in the Italian context in the recent period, thus providing fresh evidence on the macroeconomic impact on NPLs, i.e., on the credit risk of Italian banks. By employing the Autoregressive Distributed Lag (ARDL) cointegration model, we are able to investigate the short and long-run effects of macroeconomic factors on NPLs. The empirical findings show that gross domestic product and public debt have a negative impact on NPLs. On the other hand, we find that the unemployment rate and domestic credit positively influence impaired loans. Finally, we find evidence of the “gamble for resurrection” approach, i.e., Italian banks tend to support “zombie firms”.

scholarly journals Hot Money and Stock Market in China: Empirical Evidence from ARDL and NARDL Approaches

2021 ◽  
Vol 22 (2) ◽  
pp. 713-733
Author(s):  
Kwang-Jing Yii ◽  
Chai-Thing Tan ◽  
Nian-Meng Tan ◽  
Xue-Wen Teng ◽  
Ting-En Khor ◽  
...  
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Negative Relationship ◽  
Oil Price ◽  
Asymmetric Effect ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Nonlinear Autoregressive ◽  
Hot Money

This study discusses the relationship between hot money and stock market in China by employing the Autoregressive Distributed Lag (ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) methods. The data used in this study is quarterly data over the period 2000: Q1 to 2017: Q4. The results show that oil price, economic growth and hot money possess a long-run relationship towards stock market in China, whereas, no effect is found from inflation. The oil price and economic growth are both positively related to stock market while there is a negative relationship from hot money. Furthermore, the study supports the existence of an asymmetric effect between hot money and stock market. The findings imply that policymakers should form better monitoring systems to control the inflow of hot money, thus, strengthening investors’ confidence and avoiding unwanted bubbles in China’s stock market.

Planetary gentrification and urban (re)development

2019 ◽  
Vol 61 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Loretta Lees
Keyword(s):  
Low Income ◽  
Policy Making ◽  
Large Scale ◽  
Urban Redevelopment ◽  
Urban Transformation ◽  
Small Scale ◽  
Income Groups ◽  
Low Income Groups

Abstract Gentrification is no-longer, if it ever was, a small scale process of urban transformation. Gentrification globally is more often practised as large scale urban redevelopment. It is state-led or state-induced. The results are clear – the displacement and disenfranchisement of low income groups in favour of wealthier in-movers. So, why has gentrification come to dominate policy making worldwide and what can be done about it?

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