scholarly journals Does financial and agriculture sector development reduce unemployment rates? Evidence from Southern African countries

2019 ◽  
Vol 65 (No. 5) ◽  
pp. 223-231 ◽  
Author(s):  
Gbolahan Olowu ◽  
Godwin Oluseye Olaseinde-Williams ◽  
Murad Bein
Keyword(s):  
Financial Development ◽  
Agricultural Sector ◽  
Value Added ◽  
African Countries ◽  
Causality Test ◽  
Negatively Associated ◽  
Agriculture Sector ◽  
Long Run ◽  
Financial Depth ◽  
Short Run

The paper examines empirically the impacts of agricultural sector value added and financial development on unemployment, using yearly data from 1995–2015. Eleven developing Southern African Development Community countries were selected for the study. The empirical analysis was carried out using second-generation econometric methods. The regression results revealed that both agricultural value added and financial development are important determinants of unemployment within the region. The results specifically show that agricultural value added is negatively associated with unemployment in both the short and long-run, although the long-run effect is many times bigger than the short-run impact. The results also show that in the long-run, both financial depth and financial efficiency are negatively associated with unemployment. Interactions between agricultural value added financial development and unemployment were further tested via panel bootstrap causality tests. The causality test results revealed the existence of significant one-way causality from agricultural value added to unemployment and from financial depth to unemployment for the region. It also showed that causality varies across individual countries within the region with different conditions, indicating the heterogeneous nature of the countries that make up the regional bloc.<br />

scholarly journals The Nexus Between Financial Development, Economic Growth and Poverty Alleviation: PMG-ARDL Estimation

ETIKONOMI ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 1-12
Author(s):  
Benjamin Korankye ◽  
Zuezhou Wen ◽  
Michael Appiah ◽  
Louisa Antwi
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Policy Implications ◽  
Development Economic ◽  
African Countries ◽  
Causality Test ◽  
Long Run ◽  
Short Run

This study aims to find out the connections between financial development, economic growth, and poverty using panel data from 1985 to 2017 in fourteen African countries that many previous researchers ignore. The study deploys a dynamic Granger causality test to trace the nexus between financial development, economic growth, and poverty reduction in Africa in the long run. First, the upshots suggest a gross domestic product, gross capital formation, price of household consumption, and government expenditure substantially impacting poverty. Besides that, the result also shows a bi-directional in the long run using a PMG estimator. The findings broadly support the view that there is a stable, short-run relationship between financial development, economic growth, and poverty in the error correction terms. However, other variables show no causal relationship in the short run. In practicality, this study suggested some policy implications and supported governmental policies to reduce economic hardship on financial institutions.JEL Classification: G10, O47, I39, C33How to Cite:Korankye, B., Wen, X., Appiah, M., & Antwi, L. (2021). The Nexus Between Financial Development, Economic Growth, and Poverty Alleviation: PMG-ARDL Estimation. Etikonomi: Jurnal Ekonomi, 20(1), 1 – 12. https://doi.org/10.15408/etk.v20i1.15908.

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 Does Chinese FDI, Climate Change, and CO2 Emissions Stimulate Agricultural Productivity? An Empirical Evidence from Pakistan

2020 ◽  
Vol 12 (18) ◽  
pp. 7485 ◽  
Author(s):  
Shakeel Ahmad ◽  
Muhammad Tariq ◽  
Touseef Hussain ◽  
Qasir Abbas ◽  
Hamidullah Elham ◽  
...  
Keyword(s):  
Climate Change ◽  
Co2 Emissions ◽  
Agricultural Production ◽  
Direct Investment ◽  
Granger Causality Test ◽  
Test Results ◽  
Causality Test ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Pakistan’s agricultural sector growth is dwindling from the last several years due to insufficient foreign direct investment (FDI) and a drastic climate change-induced raise in temperature, which are severely affecting agricultural production. The FDI has paramount importance for the economy of developing countries as well as the improvement of agricultural production. Based on the time series data from 1984 to 2017, this paper aims to highlight the present situation of the agriculture sector of Pakistan and empirically analyze the short-run and long-run impact of Chinese foreign direct investment (CFDI), climate change, and CO2 emissions on agricultural productivity and causality among the variables. The Autoregressive Distributed Lag Model (ARDL) model and Granger Causality test were employed to find out the long-run, short-run, and causal relationships among the variables of interest. Furthermore, we have employed the Error Correction Model (ECM) to know the convergence of the equilibrium path. The bound test results verified the existence of a long-run association, and the empirical findings confirmed that Chinese FDI has a significant and positive impact, while climate change and CO2 emissions has negative impact on the agricultural growth of Pakistan both in the short-run and long-run. Granger Causality test results revealed that variables of interest exhibit bi-directional and uni-directional causality. The sector-wise flow of FDI reveals that the agriculture sector of Pakistan has comparatively received a less amount of FDI than other sectors of the economy. Based on the findings, it was suggested to the Government of Pakistan and policymakers to induce more FDI in the agriculture sector. Such policies would be helpful for the progress of the agriculture sector as well as for the economic growth of Pakistan.

scholarly journals Assymmetric effect exchange rate to Indonesian agriculture subsector

2021 ◽  
Vol 9 (5) ◽  
pp. 387-400
Author(s):  
Sri Utami Lestari ◽  
Dedi Budiman Hakim ◽  
Tanti Novianti
Keyword(s):  
Exchange Rate ◽  
Agricultural Sector ◽  
Linear Models ◽  
Asymmetric Effect ◽  
Agricultural Export ◽  
Aggregated Data ◽  
Agriculture Sector ◽  
Long Run ◽  
Negative Effect ◽  
Short Run

This study explores the asymmetric effect on the rupiah exchange rate on every subsector agriculture export in Indonesia during 2006-2020. The non-linear ARDL method is used in this study to analyze the asymmetric relationship between exchange rate and export. NARDL method includes short-run and long-run coefficient estimates and embraces the asymmetric effect. The previous studies generally used the linear models on the aggregated data and ignored the differences in each export of the agricultural sub-sector, then they offered ambiguous results. The latest studies have preferred to use the method of NARDL on the agricultural sector in general data. Instead of using agricultural export data for each subsector, this paper considers subsector export data of agriculture. The estimated NARDL results indicate an asymmetric effect of the rupiah exchange rate on exports of the agricultural sub-sector in the long run. In general, there is no asymmetric effect in the short run. Generally, depreciation and appreciation of the Rupiah have a negative effect on exports of the agricultural sub-sector in the long run. However, rupiah appreciation positively impacts lag 2, and depreciation caused a different effect on each sub-sector. The NARDL results suggest that positive movements have lesser impacts than those of negative movements in the exchange rate on the agriculture sector both in the short and long run

scholarly journals Electricity Consumption, Corruption and Economic Growth

2018 ◽  
Vol 6 (4) ◽  
pp. 193-214
Author(s):  
Busrat Abidemi Agbaje ◽  
Ekele Idachaba
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Electricity Consumption ◽  
Electricity Price ◽  
African Countries ◽  
Causality Test ◽  
Long Run ◽  
Integration Techniques ◽  
Short Run ◽  
Electricity Infrastructure

An important prerequisite for reducing poverty, sustainable development and achievement of the millennium development goal has to some extent been tied to access to electricity. However, the subject matter; 'electricity consumption causing economic growth' has seen conflicting results from the theoretical and empirical front, if indeed a relationship exist at all. The study tests, within a panel context the long-run relationship between electricity consumption and economic growth for 13 African Countries from 2006 to 2017 by employing recently developed panel co-integration techniques. Implementing a three stage approach made up of panel unit root, panel co-integration and Granger causality test to examine the causal relationship between electricity consumption, electricity price, corruption, employment and growth. The study provides empirical evidence that a bidirectional causal relationship between electricity consumption and economic growth exist in the short run, suggesting that lack of electricity could hamper economic growth as well as an investment in electricity infrastructure would in turn improve economic growth. Also reveals that corruption causes the level of electricity consumption and GDP in the short run. On the long-run front electricity consumption and electricity price granger causes GDP and GDP causes electricity consumption.

scholarly journals Tractorisation and Agricultural Development in India

2013 ◽  
Vol 8 (4) ◽  
pp. 285-292
Author(s):  
Komol Singha
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Green Revolution ◽  
Series Data ◽  
Correction Model ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Technological innovations have had profound effect on agricultural sector in the post-Green Revolution period in India. With the inception of Green Revolution, mechanisation process, especially the application of tractor in agriculture sector had intensified. However, in 2000s, the pattern of mechanization has diversified slightly from the intensive tractorisation to other implements like, irrigation, fertilizer, harvester, energy and others. Using a time series data on tractorisation and agriculture GDP for 43 years, co-integration regression method was employed to understand short run equilibrium between the variables. Further, the Error Correction Model (ECM) result showed that elasticities of mechanization were 10.4 percent and 0.52 percent for the long-run and the short-run respectively. It implies that a positive impact of mechanization on agriculture GDP was found both in the short run and long-run.

scholarly journals Institutional Quality and Financial Sector Development: Empirical Evidence from Nigeria

2018 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Fisayo Fagbemi ◽  
John Oluwasegun Ajibike
Keyword(s):  
Empirical Evidence ◽  
Financial Development ◽  
Good Governance ◽  
Developing Economies ◽  
Institutional Quality ◽  
Financial Sector ◽  
African Countries ◽  
Financial Sector Development ◽  
Long Run ◽  
Short Run

In view of the indispensable role of financial sector in both emerging and developing economies, there has been a notable spotlight on the financial sector development over the years in most African countries. Nonetheless, there are only a few studies on this topical issue, particularly for Nigeria. Hence, this study examines the long – run and short – run dynamic relationship between institutional quality and financial development in Nigeria over the period of 1984 – 2015 using Auto-Regressive Distributed Lag (ARDL) bounds test approach to cointegration. Using two different indicators (Private credit and M2) of financial development, the results consistently show that institutional factors do not have significant effect on financial development in the long – run as well as in the short – run. Furthermore, the empirical evidence indicates that regulatory quality and governance system (institutions) do not necessarily contribute to financial development in a feeble institutional environment, specifically in Nigeria. Thus, our findings suggest that whilst weak institutions could increase the risk of limiting the functioning of financial system, good governance and strong institutions are the essential ingredient of financial development in Nigeria. As a consequence, policies aimed at strengthening the quality of institutions and governance should form the major policy thrust of government (policy makers). These could help improving financial sector development in Nigeria.

scholarly journals Nexus between Economy, Agriculture, Population, Renewable Energy and CO2 Emissions: Evidence from Asia-Pacific Countries

2020 ◽  
Vol 6 (1) ◽  
pp. 261-276 ◽  
Author(s):  
Khalid Latif ◽  
Muhammad Yousaf Raza ◽  
Shahid Adil ◽  
Rehana Kouser
Keyword(s):  
Renewable Energy ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Value Added ◽  
Clean Energy ◽  
Asia Pacific ◽  
Causality Test ◽  
Agriculture Sector ◽  
Short Run ◽  
Carbon Dioxide Co2

This study uses panel co-integration methods and Granger causality examines to scrutinize the dynamic causal relationship between carbon dioxide (CO2) emissions, gross domestic product (GDP), renewable energy (RE), agriculture value added (AVA) and population for the thirteen developed and developing Asia Pacific countries (APCs) covering the period 2005-2017. The results evaluate in two ways: in the short-run, Granger causality test (GCT) is operating from AVA to GDP and express bidirectional causation among GDP and agriculture. In the distant future, there is causality from RE and Population to CO2emissions. The short-run causality is important due to the agriculture sector which causes in boosting GDP while economic development, population and clean energy (including waste and combustible) raise CO2 emissions causes in the reduction of production and services. The research finds out that reduction in AVA, GDP increase, uncontrolled population and lack of attention on clean energy are interrelated in creating emissions. Policy recommendation insights that Asian Pacific establishments should control the population, less use of fossil fuel, encourage clean energy technologies such as solar and wind to fight with global warming.

scholarly journals The Effect of Financial Development on Productivity, Corporate Tax, Foreign Reserve & Export Vector Autoregressive (Var) Model Approach Case Study on Ireland

2021 ◽  
Author(s):  
Abraham Zewdu Ararso
Keyword(s):  
Granger Causality ◽  
Financial Development ◽  
Export Performance ◽  
Var Model ◽  
Corporate Tax ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Foreign Reserve ◽  
Long Run ◽  
Short Run

Abstract The development financial sector plays indispensable role in accelerating economic growth and improving countries welfare system. Robust financial sector can keep the momentum of economic growth with providing substantial financial support and preserving macroeconomic balance. Given the importance of this sector, this research tried to evaluate the role of Irish financial development on productivity, corporate tax, foreign reserve and export. The research comprises a time period between 1980 until 2016 and used Vector autoregressive (VAR) model. Financial development consists of advancement both in financial institutions as well as in financial markets structure of Ireland. The estimation consists of granger causality test, impulse response estimation and variance decomposition along with VAR estimation result. VAR estimation revealed that financial development caused significant positive effect on Ireland export performance in the short run. Conversely, financial development doesn’t have significant effect on Ireland productivity level, foreign reserve, and corporate tax in the short run. The Granger causality test for the study variables indicates that corporate tax rate in Ireland can cause financial development in the short run, while the remaining variables can’t cause effect on financial development in the short run. The granger causality Wald tests also demonstrates that Irish financial development and productivity can unilaterally cause change in the level of Ireland export performance in the short run. The variance decomposition estimation revealed that financial development is strongly exogenous both in the short run and long run. This indicates that financial development is weak in predicting the fluctuation of productivity, foreign reserve, and corporate tax. Nevertheless, financial development is endogenous both in the short and long run in predicting the fluctuation of Ireland export.

Sign in / Sign up

Export Citation Format

Share Document