scholarly journals Impact of Government Expenditure on Agricultural Value Chain in Nigeria

2020 ◽  
pp. 192-204
Author(s):  
Eneji Mathias Agri ◽  
Agri Angela Iyaji ◽  
Felix Nanwul Diyemang ◽  
Offorma Jecinta Chioma
Keyword(s):  
Value Chain ◽  
Positive Relationship ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Government Expenditure ◽  
Percent Level ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Huge Impact ◽  
The Impact

This research examined the impact of government expenditure on agricultural value chain in Nigeria. It uses annual time series data for the period 1998-2018. Statistical Techniques, survey, simple percentages and the Ordinary Least Squares (OLS) methods were adopted. The OLS result using Multiple Regression analysis revealed an insignificant positive relationship between government expenditure and Agricultural value chain, proxy by Aggregate importation of rice (AMR). Imports had a negative sign; it is a leakage on the economy. It however, showed that agricultural gross domestic product (ADP) has a positive relationship with government expenditure, at 5 percent level. The pair-wise Granger causality tests showed that government expenditure on agriculture (GEA) granger causes aggregate importation of rice (AMR), this was indicated by their respective F-statistics and probability values which stood at 0.39420(0.6815).. In conclusion, government expenditure, with supportive policies, would have huge impact on agricultural value chain in Nigeria. The agricultural sector is the engine of economic recovery, growth and development, therefore an improvement in government spending to the sector is recommended. This study contributes to the downstream linkages in the agricultural sector.

A Macroeconomic Analysis of Agricultural Sector in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 18-25
Author(s):  
Isah Funtua Abubakar ◽  
Umar Bambale Ibrahim
Keyword(s):  
Value Chain ◽  
Crop Production ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Size Analysis ◽  
The Real ◽  
Real Gdp ◽  
The Impact

This paper attempts to study the Nigerian agriculture industry as a panacea to growth as well as an anchor to the diversification agenda of the present government. To do this, the time series data of the four agriculture subsectors of crop production, livestock, forestry and fishery were analysed as stimulus to the Real GDP from 1981-2016 in order to explicate the individual contributions of the subsectors to the RGDP in order to guide the policy thrust on diversification. Using the Johansen approach to cointegration, all the variables were found to be cointegrated. With the exception of the forestry subsector, all the three subsectors were seen to have impacted on the real GDP at varying degrees during the time under review. The crop production subsector has the highest impact, however, taking size-by-size analysis, the livestock subsector could be of much importance due to its ability to retain its value chain and high investment returns particularly in poultry. Therefore, it is recommended that, the government should intensify efforts to retain the value chain in the crop production subsector, in order to harness its potentials optimally through the encouragement of the establishment of agriculture cottage industries. Secondly, the livestock subsector is found to be the most rapidly growing and commercialized subsector. Therefore, it should be the prime subsector to hinge the diversification agenda naturally. Lastly, the tourism industry which is a source through which the impact of the subsector is channeled to the GDP should be developed, in order to improve the impact of such channel to GDP with the sole objective to resuscitate the forestry subsector.

Impact of Health and Agriculture Financing on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 37-58
Author(s):  
Rasaki Olufemi KAREEM ◽  
◽  
Olawale LATEEF ◽  
Muideen Adejare ISIAKA ◽  
Kamilu RAHEEM ◽  
...  
Keyword(s):  
Economic Growth ◽  
Federal Government ◽  
Causal Relationship ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Government Expenditure ◽  
Health Sector ◽  
Series Data ◽  
The Impact

The study focused on the impact of health and agriculture financing on economic growth in Nigeria from 1981 to 2019. The study utilized the time series data which was extracted from Central Bank of Nigeria annual statistical bulletin. Unit Root test was performed with the use of Augmented Dickey-Fuller test in order to ascertain the stationarity of all the variables and they were all found to be stationary at order 1 in the two specified models (composite and disaggregated). Error Correction Model (ECM) was used to analyze the data in order to determine the speed of adjustment from the short run to the long run equilibrium state. Casualty test was used to confirm causal relationship among the variables of interests. The study revealed that Federal Government expenditure in Health sector has a significant effect on economic growth in Nigeria. Federal Government expenditure in Agricultural sector equally had a positive effect on economic growth but surprisingly not significant. Considering the disaggregated form, Federal Government capital expenditure in both Health and Agricultural sectors have positive and statistically significant effect on economic growth while Federal Government recurrent expenditure on health has a positive and statistically insignificant effect in economic. It was also revealed that there is causal relationship among the variables. Based on the findings, the study concluded that Federal Government Expenditure in Health Sectors and Agriculture Sectors have effect on economic growth in Nigeria.

Impact of Fiscal Policy on Agricultural Output in Nigeria

2019 ◽  
Vol 9 (7) ◽  
pp. 1428 ◽  
Author(s):  
Adedoyin Isola LAWAL ◽  
Ernest Onyebuchi FIDELIS ◽  
Abiola Ayoopo BABAJIDE ◽  
Barnabas O. OBASAJU ◽  
Oluwatoyese OYETADE ◽  
...  
Keyword(s):  
Fiscal Policy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Negative Impact ◽  
Capital Expenditure ◽  
Research Work ◽  
Estimation Method ◽  
Series Data ◽  
Agricultural Output ◽  
The Impact

This study examines the impact of fiscal policy on agricultural output in Nigeria using the most recent official data. The metrics for fiscal policy is government capital expenditure and custom duties on fertilizer. The study used annual time series data obtained from CBN annual statistical bulletin, NCS, and FIRS which was found to be stationary at the order of I(1) and I(0). The order of unit root test led to the use of ARDL estimation method employed in the empirical analysis of this research work. The study found evidence of both short and long run relationship between the variables (VAO, GEX, IDMF, and ACGSF) using both Johansen co-integration and ARDL Bounds test. Although government expenditure (GEX) to agricultural sector was found to be statistically insignificant which recommend that government should increase agriculture capital expenditure to ensure that its contribution is significant. Consequently, custom duties on fertilizer (IDMF) was found to be negatively signed and significant indicating a negative impact on agricultural output. This demands that the policy makers should be prudent in the use of fiscal policy instrument in achieving its desired objective.

scholarly journals The impact of firm characteristics on the voluntary disclosure – evidence on the top 50 listed firms of Forbes Vietnam

2021 ◽  
Vol 18 (1) ◽  
pp. 215-222
Author(s):  
Tran Quoc Thinh
Keyword(s):  
Voluntary Disclosure ◽  
Time Series Data ◽  
Ordinary Least Squares ◽  
The State ◽  
Series Data ◽  
State Agencies ◽  
Firm Characteristics ◽  
Listed Firms ◽  
Size Growth ◽  
The Impact

Disclosure plays an important role for information users. Voluntary disclosure is more meaningful for stakeholders in order to make appropriate decisions. The article researches the impact of firm characteristics on the voluntary disclosure of the top 50 listed firms in Forbes Vietnam (50 listed firms) from 2015 to 2019. It uses the ordinary least squares of time-series data to test the regression model. The signaling and agency theory is used to explain the relationship between firm characteristics on voluntary disclosure. The research results show three variables of firm characteristics that positively impact the voluntary disclosure of 50 listed firms, including firm size, growth rate of market share value to book value, and audit type, in which audit type has the strongest influence. Accordingly, the state agencies of Vietnam should encourage 50 listed firms to improve the Vietnamese listed firms’ voluntary disclosure and meet international economic integration. AcknowledgmentWe would like to thank Assoc. Prof. Ngoc Thach Nguyen (Phd), Assoc. Prof. Hoang Anh Ly (Phd) and Assoc. Prof. Thi Loan Nguyen (PhD), as well as some experts of the State Securities Commission of Vietnam and some leaders of 50 listed firms for their advice and support the project.

scholarly journals Impact of Macro-Economic Variable on Pakistan Stock Exchange KSE-100 Index

2021 ◽  
Vol 2 (3) ◽  
pp. 17-23
Author(s):  
Muhammad Faisal Hassan ◽  
Hashim Bin Jusoh ◽  
Sajjad Khan ◽  
Fahad Ali Khan ◽  
Muhammad Naseem ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Positive Impact ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Short Run ◽  
The Impact ◽  
Adf Test

The researcher investigates the Impact of inflation, exchange rate and interest rate on Pakistan stock Exchange performance KSE-100 index by using monthly time series data which covers the period of 2013 to 2020. The econometrics techniques which are employed includes ADF test, Ordinary Least squares regression Model, testing for Multi-collinearity, Residual analysis serial correlation, testing for co-integration, Error correction model (ECM), variance decomposition (VAR) and Pair wise granger causality test. The results indicate that there is positive impact of exchange rate on PSX 100 index and the impact of inflation and interest rate is fond negative but inflation have insignificant relationship with PSX 100 index and the other two relationships are found significant. From the ECM result it is found that in short run 20% of the variation in dependent variable is due to inflation, exchange rate and interest rate and 80% variation is unexplained in short run. Form the results of VAR test it is concluded that exchange rate 1.67, inflation 14.25%, and interest rate 3.90% variation cause in PSX 100 index performance due to these three independent variables.

scholarly journals FDI and long-term economic growth in Egypt

2017 ◽  
Vol 13 (1) ◽  
pp. 65-74
Author(s):  
Saif Alhakimi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Government Expenditure ◽  
Wage Structure ◽  
Series Data ◽  
The Impact

This research paper aims to empirically analyze the impact of FDI on the long-term economic growth of Egypt. An empirical model was developed to explain the aggregate output, including total labor force, capital stock, foreign direct investment, government expenditure, and the real exchange rate. Annual time-series data from 1990–2013 were then used to estimate the model. Prior to calculating this estimation, the properties of the time series were diagnosed, and an error-correction model was developed and assessed. The overall results suggest that foreign direct investment makes a positive, yet weak and insignificant, contribution to the long-term economic growth of Egypt. This finding warrants further investigation to explore the possible reasons behind it, such as the degree of spillover that FDI has on economic growth and its impact on employment in areas like job creation, wage structure, research, and development.

scholarly journals The Impact of Macroeconomic variables on the credit provided by Saudi Banks: تأثير المتغيرات الاقتصادية الكلية على التمويل المصرفي في المملكة العربية السعودية (دراسة قياسية شملت البيانات من 1970م – 2012م)

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Eyas Jafar Abdel Rahim
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Government Expenditure ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Bank Deposits ◽  
Long Run ◽  
The Impact

The study aimed to examine the impact of macroeconomic variables of the Saudi economy as in Gross Domestic Product (GDP), Government Expenditure (G), Economic Openness (OPE), Inflation Rate (CPI) and the Bank Deposits (DS) on the credit provided by Saudi banks (BF), on annual time series data between 1970-2012. To investigate this relationship, the study used Autoregressive Distributed Lag method (ARDL) to measure the long-run and short-run impact, At that the E-views 8.1 has been used for analyze the cointegration,the diagnostic, the reliability - stability tests, and the forecasting behavior of the model. The study found that (BF) is affected positively by (GDP) growth rate in the long-run. Also the (BF) has been affected negatively in the short and long-run by inflation rates (CPI) and government expenditure (G). Consequently the Contractionary Fiscal Policy in recent period will not lead to reduce the financial performance of Saudi banks, and the growth of (GDP) in the future will have positive impact on the financing capacity of the Saudi banking sector.

THE INDONESIAN AGRICULTURAL PERFORMANCES UNDER CHINA-ASEAN FREE TRADE AREA: GO UP OR GO DOWN? Case of Agriculture Raw Material and Food Product

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Nasrudin Nasrudin ◽  
Budiyanto Budiyanto
Keyword(s):  
Free Trade ◽  
Economic Integration ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Raw Materials ◽  
Food Product ◽  
Raw Material ◽  
Series Data ◽  
The Impact

As an agricultural country, the Indonesian agricultural sector should obtain a positive impact of the regional economic integration. Since in 2004 by the Early Harvest Program (EHP) of China-ASEAN Free Trade Agreement (CAFTA), most agricultural commodities have lowered tariff, indeed some have been zero percent.Unfortunately, the performance of the agricultural sector has not shown tangible improvement. Then beforethe rates was released for all commodities, should be evaluated and re-defined policies that should be taken. This paper purposesto examine the impact of the implementation of CAFTA on the Indonesian agricultural performances. The objectives will be achieved by compare the performance preand post-CAFTA; predict the performance if CAFTA is fully implemented, by performing simulations and econometric models. By using time series data 1990-2011, agriculture can be divided into two categories; agricultural raw materials and food products. The estimation result of econometric modeling by simultaneous equations, the Indonesian agricultural sector performance after CAFTA is not better than before implementation. Predicted will decrease when the entire rates later free. Keywords: agriculture raw material; foods product; agriculture performance; economic integration

scholarly journals An Investigation of the Determinants of Savings and Investment in Nigeria

2015 ◽  
Vol 1 (2) ◽  
pp. 1 ◽  
Author(s):  
Adelakun O. Johnson
Keyword(s):  
Economic Growth ◽  
Positive Relationship ◽  
Inflation Rate ◽  
Time Series Data ◽  
Series Data ◽  
Correction Model ◽  
Use Of Time ◽  
The Impact ◽  
The Relationship

<p>This study examined the relationship between savings, investment and economic growth. A corollary of the work is the determination of which of the inputs of production contributes more to economic growth in Nigeria. The study makes use of time series data spanning twenty-nine years using error correction model. The result shows a positive relationship between savings, investment and economic growth in Nigeria. Of the determinants of savings considered in the study, inflation rate contributes negatively to saving, while interest rate positively affect saving. All these confirm economic theory. The striking feature of the study however is the confirmation of the impact of labour on economic growth, which according to the study far outweighs the contribution of capital.</p>

Does Infrastructure Matters in Government Spending? A Case Study of Jammu and Kashmir (India) with Cointegration Approach

2017 ◽  
Vol 9 (2) ◽  
pp. 82-97 ◽  
Author(s):  
Samir Ul Hassan ◽  
Biswambhara Mishra
Keyword(s):  
Government Spending ◽  
Time Series Data ◽  
Government Expenditure ◽  
Jel Classification ◽  
Series Data ◽  
Data Set ◽  
Jammu And Kashmir ◽  
Long Run ◽  
The Government ◽  
The Impact

This study is an attempt to investigate the impact of infrastructure level on government spending in short and long run and also to find the tendency of infrastructure level to stabilise any disequilibrium in government spending in long run. Infrastructure is related to the quality and quantity of goods and services provided by government to the population, to fulfil their diverse demands. The state of Jammu and Kashmir (J&K) is not an exception; the increasing trend in different aspects of population and rising needs and aspirations of the growing population forces the government to increase expenditure on that count, which results in increase in aggregate government spending. Using multivariate cointegration technique followed by vector error correction model (VECM) model on annual time-series data for the period from 1984 to 2013 with broader data set of infrastructure dimension, the study found that the infrastructure variables cause major variation in government expenditure in short as well as in long run. Study shows that infrastructure related to health, education, roads and portable water produce positive and significant impact on the growth of government spending and infrastructure related to these dimensions has significant tendency to stabilise any disequilibrium in government spending in long run. JEL Classification: H3, H5, H53, I

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