Does credit boost agricultural performance? Evidence from Vietnam

2020 ◽  
Vol 47 (9) ◽  
pp. 1203-1221
Author(s):  
Nguyen Tuan Anh ◽  
Christopher Gan ◽  
Dao Le Trang Anh
Keyword(s):  
Structural Breaks ◽  
Public Investment ◽  
Causality Test ◽  
Agricultural Credit ◽  
Content Type ◽  
Distributed Lag ◽  
Agricultural Performance ◽  
Long Run ◽  
Short Run ◽  
The Government

PurposeThis study investigates the short-run and long-run impacts of agricultural credit on Vietnam's agricultural GDP over the period 2004:Q4–2016:Q4, with the incorporation of agricultural labor, public investment and rainfall as important determinants of agricultural GDP.Design/methodology/approachThis study applies the indicator saturation (IS) break tests and the autoregressive distributed lag (ARDL) bounds test with structural breaks to examine the credit–agricultural performance nexus. The causal relationships among variables are explored through the Toda–Yamamoto Granger causality test.FindingsThe results indicate that agricultural credit positively influences agricultural GDP in both the short-run and long-run. A unidirectional causal relationship running from credit to agricultural GDP is confirmed. The results also discover the positive and significant effects of labor and rainfall on agricultural GDP in the long-run.Practical implicationsThe results imply that the government should focus on expanding agricultural credit as well as enhancing the efficiency of agricultural credit. Furthermore, formal credit institutions should be encouraged to work closely with farmers and agricultural enterprises to offer flexible lending periods and amounts to meet the real situation of agricultural production.Originality/valueThis study is the first to examine the credit–agricultural performance relationship at the macro-level in Vietnam. Based on the empirical results, the study provides crucial implications for policymakers to optimize the effectiveness of agricultural credit and enhance nationwide agricultural performance.

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.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

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.

Public investment and inclusive growth in Africa

2020 ◽  
Vol 47 (12) ◽  
pp. 1669-1691
Author(s):  
Opeoluwa Adeniyi Adeosun ◽  
Philip Akanni Olomola ◽  
Adebayo Adedokun ◽  
Olumide Steven Ayodele
Keyword(s):  
Fiscal Policy ◽  
Public Investment ◽  
Inclusive Growth ◽  
Government Investment ◽  
Automatic Stabilization ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Productive Employment

PurposeThe increasing debate on the viability of broad-based productive employment in stimulating the participatory tendencies of growth makes it instructive to inquire how the African “Big Five” have fared in their quests to ensure growth inclusiveness through public investment-led fiscal policy.Design/methodology/approachTime varying structures and nonlinearities in the government investment series are captured through the non-linear autoregressive distributed lag, asymmetric impulse responses and variance decomposition estimation techniques.FindingsStudy findings show that positive investment shocks stimulate growth inclusiveness by enabling access to opportunities through job creation and productive employment for the populace; this result is evident for Morocco and Algeria. However, there is a non-negligible evidence that shocks due to decline in the government investment manifest in insufficient capital stocks and limited investment opportunities, impede access to opportunities by the populace, hinder labour employability and make growth less inclusive. Furthermore, all short-run findings corroborate long-run results regarding the reaction of inclusive growth to positive investment shocks with the exclusion of South Africa; which, unlike its long-run finding, shows that shocks due to increases in investment can foster growth inclusiveness. Also, in respect to short-run negative investment shocks, Nigeria is the only country that does not align its long-run findings.Practical implicationsThat public investment shocks make or mar inclusive growth effectiveness shows the need for appropriate fiscal policy consolidation and automatic stabilization guidelines to ensure buffers against shocks and to enhance government investment generation efficiency for a sustainable inclusive growth process that is more participatory in Africa.Originality/valueThis study is the first to accommodate possibilities of shocks in the inclusivity of growth analysis for the five biggest African economies which jointly account for over half of the recorded growth in the continent. As such, there is quantitative evidence that government investment is a potent determinant of growth inclusiveness and it is susceptible to structural changes and time variation of shocks.

An empirical investigation of the link between infrastructure development and poverty reduction

2017 ◽  
Vol 44 (12) ◽  
pp. 1906-1918 ◽  
Author(s):  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Poverty Reduction ◽  
Principal Component ◽  
Vital Role ◽  
Infrastructure Development ◽  
Indian Government ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose India is a developing nation where the marginal benefit of infrastructure development is tremendous. The purpose of this paper is to analyze the relationship between infrastructure development and poverty reduction for India using the yearly data from 1991 to 2015. Design/methodology/approach The authors use the principal component analysis to construct indices for four major sub-sectors, namely, transport, water and sanitation, telecommunications and energy, falling under the broad infrastructure sector and then using these sectorwise indices, the authors construct an overall index which represents infrastructure development. The authors provide evidence on the link between infrastructure development and poverty reduction by using the auto regressive distributed lag (ARDL) bound testing approach. Findings The ARDL test results suggest that infrastructure development and economic growth reduce poverty in both long run and short run. The causality test confirms that there is a positive and unidirectional causality running from infrastructure development to poverty reduction. Research limitations/implications The study confirms that India’s Infrastructure development plays a vital role in reducing poverty and calls for the Indian Government to adopt economic policies which are aimed at developing and strengthening the infrastructure levels and bringing in more investment in the infrastructure sector in order to help the poor population by making them exposed to better opportunities of employment and income growth, thereby achieving the goal of poverty reduction. Originality/value This paper is a fresh and unique attempt of its kind to empirically investigate the causal relationship between infrastructure development and poverty reduction in India using modern econometric techniques.

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.

Does educational progress impact energy consumption? A causality test for India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Causality Test ◽  
Content Type ◽  
Vector Error Correction ◽  
Educational Advancement ◽  
Long Run ◽  
Short Run ◽  
Development Goals ◽  
Per Capita

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.

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.

Does Ban on Futures trading (de)stabilise spot volatility?

2019 ◽  
Vol 9 (2) ◽  
pp. 145-166 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Granger Causality ◽  
Price Discovery ◽  
Futures Trading ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Spot Volatility ◽  
Non Parametric

Purpose The purpose of this paper is to ascertain the possible consequences of ban on futures trading of agriculture commodities in India by examining three critical issues: first, the author explores whether price discovery dominance changes between futures and spot in the pre-ban and post-relaunch phase both in the long run and short run. Second, the author examines the impact of ban and relaunch of futures trading on its underlying spot volatility for five sample cases of agriculture commodities (Wheat, Sugar, Soya Refined Oil, Rubber and Chana) using both parametric and non-parametric tests. Third, the author revisits the destabilization hypothesis in the light of ban on futures trading by examining the impact of unexpected component of liquidity of futures on spot volatility. Design/methodology/approach The author uses widely adopted methodology of co-integration to examine long-run relationship between spot and futures, while the short-run relationship is investigated using vector error correction model (VECM) and Granger causality to test price discovery in the pre-ban and post-relaunch phases. The second objective is explored using a combination of parametric and non-parametric tests such as Welch one-way ANOVA and Kruskal–Wallis test, respectively, to gauge the impact of ban on futures trading on spot volatility along with post hoc tests to investigate pairwise comparison of spot volatility among three phases (pre-ban, ban and post-relaunch) using Dunn Test. In addition, extensive robustness test is undertaken by adopting augmented E-GARCH model to ascertain the impact of ban and relaunch of futures trading on spot volatility. The third objective is investigated using Granger causality test between spot volatility and unexpected component of liquidity of futures estimated using Hodrick and Prescott (HP) filter to re-visit the destabilization hypothesis. Findings The author found extensive evidence for the dominance of futures market in the price discovery of agriculture commodities both in the pre-ban and post-relaunch phases in India. The ban on futures trading is found to have a destabilizing impact on spot volatility as evident from the findings of Wheat, Sugar and Rubber. In addition, it is observed that spot volatility was highest during the ban phase as compared to the pre-ban and post-relaunch phases for all four commodities barring Chana. The author found that destabilisation hypothesis holds true during the pre ban phase, while weakening of destabilization hypothesis is observed in the post-relaunch phase as unexpected futures liquidity has no role in driving the spot volatility. Originality/value This study is a novel attempt to empirically examine the potential impact of ban and relaunch of futures trading of agriculture commodities on two key market quality dimensions – price discovery and spot volatility. In addition, destabilization hypothesis is revisited to investigate the impact of futures trading on spot volatility during the pre-ban and post-relaunch period.

Factors affecting level of unemployment in South Asia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aiza Shabbir ◽  
Shazia kousar ◽  
Muhammad Zubair Alam
Keyword(s):  
South Asian ◽  
Unemployment Rate ◽  
Significant Relationship ◽  
Good Governance ◽  
Asian Countries ◽  
Economic Variables ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government

PurposeThis study aims to investigate the short-run and long-run relationship between economic variables and the unemployment rate in South Asian countries.Design/methodology/approachA panel Vector Error Correction (VECM) model is used to establish the long-run and the short-run relationship between unemployment rate and selected economic variables. Data were collected from WDI, WGI and FDSD for the year's 1994–2016.FindingsThe finding of the study showed a negative and significant relationship at the 5% level of significance among governance, internet users, mobile cellular subscriptions, fixed broadband subscriptions and human capital with an unemployment rate of South Asian economies. On the other hand, financial activity (credit) and population growth have a positive and significant relationship with the unemployment rate.Research limitations/implicationsIn the light of our findings clear that employment problems can only be created if the government does not put in place adequate measures to control the population and allocate resources equitably, giving a sense of belonging to all citizens. Therefore, to provide the controlled population with the necessary employment opportunities, it is necessary to allocate resources efficiently and to launch projects aimed at creating jobs.Practical implicationsTransparency or merit is the basis of good governance and the very first step to achieving the goal of good governance is to fight against corruption. It provides a complete justification for providing good quality management records, financial controlling and managerial systems.Originality/valueThe connections between governance and unemployment are complex and need to be studied in a detailed manner. There is the absence of literature that strongly interfaces good governance to unemployment; the fundamental work in this regard is Farid (2015). They locate a solid relationship between good governance and improving external debt situation by in Pakistan a time series analysis. But there is no research in the context of South Asian countries between governance and unemployment.

Sign in / Sign up

Export Citation Format

Share Document