scholarly journals Fiscal federalism and accountability in Nigeria: an ARDL approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olabanji Olukayode Ewetan ◽  
Romanus Osabohien ◽  
Oluwatoyin Augustina Matthew ◽  
Abiola Ayopo Babajide ◽  
Ese Urhie
Keyword(s):  
Public Sector ◽  
Fiscal Federalism ◽  
Local Economic Development ◽  
Fiscal Decentralization ◽  
Secondary Data ◽  
Law And Order ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive

Purpose The purpose of this paper is to examine the relationship between fiscal federalism and accountability in Nigeria. Corruption is a global plague and is endemic in nature. Several policies have been adopted by the Nigerian Government to institutionalize accountability and combat the scourge of corruption that have hindered socio-economic progress but to no avail. Design/methodology/approach Thus, this study examined fiscal federalism and accountability issues in Nigeria using secondary data and used the auto-regressive distributed lag econometric technique to analyse the data. Findings The results from this study reveal that fiscal federalism fails to mitigate corruption in the long run in Nigeria because of poor bureaucratic quality (BQ) and ineffective law and order (LOR). Social implications Fiscal decentralization must be accompanied by legislations that will strengthen BQ of fiscal institutions at subnational levels and promote effective LOR. Originality/value This study recommends that for fiscal federalism to mitigate corruption in the long run, government must adopt appropriate policies to improve BQ and further strengthen LOR in Nigeria. The finding also suggests that to promote public sector accountability in Nigeria, government should ensure the simultaneous decentralization of expenditure and revenue to lower tiers of government. This study provides detailed empirical evidence that fiscal decentralization without accountability will accentuate public sector corruption, and in the long run, weaken local economic development initiative to boost growth and development.

On productivity differential of export composition: evidence from India

2014 ◽  
Vol 7 (1) ◽  
pp. 38-50
Author(s):  
Avijit Debnath ◽  
Niranjan Roy ◽  
Priyanka Dasgupta ◽  
Nazira Mazumder
Keyword(s):  
Positive Impact ◽  
Secondary Data ◽  
Spillover Effects ◽  
Aggregate Level ◽  
Content Type ◽  
Export Sector ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Export Composition

Purpose – This paper aims to analyse the relationship between exports and non-export gross domestic product (GDP) in the context of Indian economy during 1988-2012. It considers export both at aggregate and disaggregated levels to examine whether export-led growth (ELG) hypothesis is sensitive to types of goods India exports. Design/methodology/approach – The OLS-based autoregressive distributed lag (ARDL) model has been employed to analyse the potential long-run equilibrium relationship. Further, the error correction model within the ARDL framework is applied to examine the short-run and long-run causal relationship between non-export GDP, export and other variables. The study is based on secondary data. Findings – The study indicates that at aggregate level, exports do not have any significant impact on output of non-export sector, and therefore, it is maintained that ELG hypothesis is not valid at aggregate level in India; when the authors disaggregate exports into merchandise and services exports, the latter has been found to have positive spillover effects on non-export sector of the economy. However, the association between merchandise export and non-export GDP is found to be statistically insignificant. When the authors further disaggregated merchandise exports, the authors observed that primary-product export has a negative association with non-export GDP, but export of manufacturing products found to have a significant positive impact on non-export GDP. Finally, export of petroleum product shows a negative long-run association with non-export GDP, but the association is statistically insignificant. Originality/value – It is not the case that India can simply increase its exports per se and be sure of witnessing economic growth, but instead it is the composition and the concentration of these exports that matters.

Globalisation, Economic Growth and Income Inequality in Nigeria

2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Secondary Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact ◽  
Financial Globalisation

This article examines the link between globalisation, economic growth and income inequality in Nigeria using annual secondary data over the period 1981–2018. Specifically, it attempts to examine the following questions: (a) What is the direction of causation among globalisation, economic growth and inequality? (b) What is the impact of globalisation and economic growth on inequality? (iii) Do trade globalisation and financial globalisation have differential impacts on inequality in Nigeria? The article used both vector error correction modelling (VECM) and auto-regressive distributed lag (ARDL) techniques. The VECM results show a unidirectional causality from inequality and globalisation to economic growth in the long run, whereas a unidirectional causation was observed from inequality to economic growth in the short run. The ARDL estimate shows that globalisation and economic growth are significant determinants of inequality in Nigeria. Furthermore, it is observed that trade and financial globalisation influenced income inequality differently. In the light of these findings, the article recommends that the foreign direct investment should be channelled towards empowering the poor, and the dividends of economic growth should be evenly distributed to reduce the income inequality gap.

scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

scholarly journals Microfinance Institutions and Financial Sector Growth in Nigeria (1992-2018)

2021 ◽  
Author(s):  
Emmanuel Abiodun Ayodeji ◽  
Adebayo Tunbosun Ogundipe
Keyword(s):  
Secondary Data ◽  
Financial Sector ◽  
Variable Coefficients ◽  
Model Specification ◽  
Microfinance Institutions ◽  
Negative Effects ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Bound Test

Abstract The extent to which microfinance bank institutions have contributed to the financial sector growth has not been well unraveled in the extant literature in Nigeria, hence, this study examined the effects of microfinance banks on financial sector growth in Nigeria. It further investigated the dynamic form of relationship between microfinance banks and financial sector growth in Nigeria covering a temporal scope 1992 to 2018. The model specification was formulated using financial sector GDP as the proxy for dependent variable, microfinance credit, deposits, assets and investment were used as proxies for microfinance banks institutions. Secondary data were sourced from CBN statistical Bulletin and analyzed using auto regressive distributed lag bound test and its corresponding short and long run coefficients. Finding revealed an inconclusive long run relationship between microfinance bank institutions and financial sector growth. Checking the individual variable coefficients in the short run, microfinance credit has significant positive effect while microfinance assets has insignificant effects on financial sector growth. In the long run, it was revealed that microfinance bank deposits and assets exert insignificant positive effects while microfinance credits have insignificant effect and investments have significant negative effects on financial sector growth. The study concluded that, in the long run, microfinance bank institutions exert positive and insignificant effects on financial sector growth in Nigeria. It was therefore recommended that, for microfinance bank institutions to impact significantly on financial sector growth in Nigeria, its credit should be increased and be more directed to the target individuals and the level of their investments should be geared up so as to engender growth of the financial sector in Nigeria. Furthermore, microfinance bank institutions should maintain its status quo on deposits and assets, however, improvement on them should be encouraged so as to enhance the growth of the financial sector in Nigeria

The capital structure decision of Islamic and conventional banks: empirical evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moncef Guizani ◽  
Ahdi Noomen Ajmi
Keyword(s):  
Capital Structure ◽  
Decision Criterion ◽  
Content Type ◽  
Leverage Ratio ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Main Determinants ◽  
Conventional Banks ◽  
The Capital Structure

PurposeThe purpose of this paper is to investigate how Islamic banks (IBs) and conventional banks (CBs) in Malaysia choose their capital structure and what are the most significant factors that affect their decisions regarding their capital structure.Design/methodology/approachThis study applies the autoregressive distributed lag (ARDL) approach for a sample of 54 Banks listed on Malaysian stock market over the period 2010–2018.FindingsThe study findings show that the capital structure of IBs appears to be driven by similar factors to those previously found in the corporate finance literature. They also provide evidence of the existence of a long-run and short-run relationship between leverage and its main determinants for Islamic and CBs. However, the results show that various independent variables on the capital structure do exhibit different effects (in magnitude of the coefficient) among Islamic and CBs. Moreover, we find that IBs slowly adjust their capital structure toward the desired leverage ratio than CBs.Research limitations/implicationsThis research contributes to the theory in re-validating capital structure theories on IBs. It helps understand the capital structure of IBs in comparison with CBs. If in conventional finance, the standard presiding decisions of an economic agent is optimizing the risk-return ratio, this standard is not the only or the primary decision criterion in the Islamic finance context where spiritual and theological considerations are taken into consideration.Practical implicationsThis research can contribute to managers in understanding the choice of capital structure for IBs within the bound of Sharia requirement. Such an understanding provides managers with applied knowledge of determining their appropriate capital structure to compete locally and globally in which IBs operate.Originality/valueThis paper offers some insights on the determinants of capital structure by investigating Islamic and CBs. It explores the implication of relevant Islamic principles on capital structure. Moreover, it analyses the determinants of capital structure using ARDL method that permits to identify the short-run and long-run relationships between capital structure and its main determinants.

scholarly journals Early retirement incentive programs as a human resources restructuring strategy in public sector

2020 ◽  
Vol 5 (1) ◽  
pp. 69-90
Author(s):  
Manal Elsayed Shabat
Keyword(s):  
Public Sector ◽  
Human Resources ◽  
Early Retirement ◽  
Secondary Data ◽  
Public Organizations ◽  
Design Data ◽  
Workforce Reduction ◽  
Content Type ◽  
Incentive Programs ◽  
Basic Features

Purpose The purpose of this paper is to analyze the conceptual framework about human resources downsizing and restructuring and how organizations of the public sector can do that effectively and efficiently. These facts drive to the conclusion that the implementation of early retirement incentives requires the most elaborate planning and execution to be effective, predictable and safe in the long term. Design/methodology/approach This paper adopts an analytical, descriptive methodology approach to describe the basic features of the data by using the descriptive research design. Data have been collected through different sources, which include secondary data, to introduce the theoretical literature of the subject as books, journals, articles, published working papers and referred previous studies related to the same subject. Findings Downsizing process is a deliberate administrative process that includes, but is not limited to, workforce reduction and is primarily aimed at achieving efficiency in public organizations. The definition of workforce downsizing may be narrowed to reducing the number of workers, or more likely to refer to general efforts to restructuring human resources in public organizations, Early Retirement Incentive Programs (ERIP) represents a viable alternative for organizations seeking to reduce staff. For the ERIP to be successful, the program coordinator must understand the business objectives and goals that the organization is trying to obtain. Originality/value Human resources strategies concerning downsizing public administration workforce should be more appropriate to those who leave the organization and those who stay at work, reducing the negative psychological, administrative and economical effects. This could be achieved through a strategy called early retirement incentive programs.

Moderating Effects of Logistics Infrastructure Development and Real Sector Productivity: A Case of Pakistan

2019 ◽  
pp. 097215091987930 ◽  
Author(s):  
Noman Arshed ◽  
Muhammad Shahid Hassan ◽  
Muhammad Umair Khan ◽  
Arslan Arif Uppal
Keyword(s):  
Road Transport ◽  
Industrial Sector ◽  
Infrastructure Development ◽  
Moderating Effects ◽  
Sea Transport ◽  
Services Sector ◽  
The Road ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive

A well-oiled logistics sector physically moves the economy towards higher growth. A developed logistics infrastructure facilitates backward and forward linkages in global trade and manages the business cost of accessing markets. Logistics sector facilitates sectorwise growth in a way that it eases goods transmissions mechanisms. This study has assessed four indices of logistics which are road, rail, air and sea transport by forming indices using 13 indicators. Auto regressive distributed lag (ARDL)bound approach-based long-run results show that, for the case of Pakistan, development in the road transport has highest potential in growth productivity of agriculture and services sector, while sea transport performed best in industrial sector.

LPG consumption and economic growth, 1975-2016: evidence from Cameroon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jean Gaston Tamba
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Liquefied Petroleum Gas ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Gas Consumption ◽  
The Government ◽  
Energy Efficiency Policies

Purpose This paper aims to examine the causal relationship between liquefied petroleum gas consumption and economic growth in Cameroon over the period from 1975 to 2016. Design/methodology/approach The methodology of this study is based on the unit root, cointegration and causality tests. Cointegration is performed with both Johansen and autoregressive distributed lag bounds approach, while causality is done with the Granger test based on the error correction model (ECM) and Toda-Yamamoto procedure. Findings The cointegration methods confirm the existence of a level relationship, whereas the causal tests of the ECM reveal the existence of a short-run unidirectional causal relationship ranging from liquefied petroleum gas (LPG) consumption to economic growth and a bidirectional causal relationship between long-term and high-causality variables. With the Toda-Yamamoto procedure, unidirectional causality is found to run from economic growth to liquefied petroleum gas consumption. Research limitations/implications These findings imply that an increase in liquefied petroleum gas consumption leads to an increase in economic growth. As a result, supporting energy efficiency policies that aim to reduce liquefied petroleum gas consumption is not an option for Cameroon. Given that LPG consumption shares are still low in Cameroon, the government ought, thus, to increase LPG subsidization, vulgarize and favor policies aimed at encouraging LPG consumption to increase LPG deposits nationwide. This would help increase LPG consumption and consequently could increase economic growth in Cameroon. Originality/value LPG is a fossil fuel and is the less GHG emitter and it is considered as a modern source of energy for cooking in Cameroon households. It scarcity calls on energy policymakers to question the influence LPG consumption could have on economic growth in the short- and long-run. Thus, this paper could contribute to solving the issue of deforestation in Cameroon, especially in the Sahel zone; through the substitution of firewood consumption by LPG consumption in households.

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