scholarly journals Empirical Analysis of Government Agricultural Spending and Agricultural Output in Nigeria

2021 ◽  
pp. 7-23
Author(s):  
Bridget Ngodoo Mile ◽  
Victor Ushahemba Ijirshar ◽  
Simeon T. Asom ◽  
Joseph Tarza Sokpo ◽  
Joseph Fefa
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Government Expenditure ◽  
Analytical Techniques ◽  
Wald Test ◽  
Series Data ◽  
Easy Access ◽  
Agricultural Output ◽  
Integration Test ◽  
The Government

This study examined the relationship between government agricultural spending and agricultural output in Nigeria using annual time series data from 1981 to 2019. This study used descriptive and analytical techniques such as descriptive statistics, Augmented Dickey-Fuller test, VEC Granger Causality/Block Exogeneity Wald test, Johansen co-integration test, vector error correction test, impulse response, and variance decomposition. The study found that all variables were not stationary at level but became stationary at first difference. The study also revealed that there is a positive effect of government agricultural spending on agricultural output in Nigeria, though, significant in the long-run only. The study also showed that there is a bidirectional relationship between government agricultural spending and agricultural output in Nigeria at 10% level of significance and that agricultural output would respond positively to shocks in government agricultural spending in Nigeria during the forecast period. Therefore, the study recommends that government expenditure on agriculture should be improved upon the funds allocated to the sector and should be made available to real farmers through the provision of fertilizers, improved seedlings and grant aiding to farmers through farmers cooperatives while farmers in Nigeria should form farmers’ cooperatives to be able to easily access credit facilities from banks as well as enhancing their easy access to farm inputs provided by the government. More so, the Nigerian government should also increase the budgetary allocation to the agricultural sector to boost food production, alleviate poverty as well as meet up with the international standard.

scholarly journals Hypothesizing directional causality between the governance indicators and economic growth: the case of Afghanistan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Naim Azimi ◽  
Mohammad Musa Shafiq
Keyword(s):  
Economic Growth ◽  
Rule Of Law ◽  
Time Series Data ◽  
Political Stability ◽  
Wald Test ◽  
Series Data ◽  
Vector Autoregressive ◽  
Government Effectiveness ◽  
Governance Indicators ◽  
The Government

AbstractThis paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto’s (J Econom 66(1–2):225–250, 1995. 10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.

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 Influence of Government Expenditure in Education and Health Sector on The Poverty in Gorontalo

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Windiyawati M Niuwa ◽  
Fahrudin Zain Olilingo ◽  
Ivan Rahmat Santoso
Keyword(s):  
Quantitative Methods ◽  
Time Series Data ◽  
Government Expenditure ◽  
Health Sector ◽  
Secondary Data ◽  
Education Sector ◽  
Series Data ◽  
Regression Equations ◽  
Fiscal Balance ◽  
The Government

This study aims to determine how much influence the Government Expenditure of Education Sector and Health Sector on Poverty in Gorontalo City. This research uses quantitative methods. The data used in this study are secondary data sourced from the Central Statistics Agency and the Directorate General of Fiscal Balance Ministry of Finance using the econometrics method through multiple linear regression equations in the form of 10-year time series data (2008-2017). The results showed that 1) Education sector government expenditure has a positive effect on the level of poverty in Gorontalo City 2) Government health sector expenditure has a negative effect on poverty levels in Gorontalo City. Keywords: Poverty, Government Expenditure, Education Sector, Health Sector.

Estimation of Elasticities of Substitution for CES and VES Production Functions using Firm-level Data for Food-processing Industries in Pakistan

1988 ◽  
Vol 27 (1) ◽  
pp. 59-71 ◽  
Author(s):  
George E. Barrese ◽  
Sohail J. Malik
Keyword(s):  
Food Processing ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Firm Level ◽  
Acre Yield ◽  
Level Data ◽  
The Government

This study, based on the time-series data covering the period from 1956 to 1986, estimates production function in the agricultural sector of Pakistan. The strategy for agricultural development in the country has been based on greater utilization of "high pay-off' low-cost technology. The government advanced loans through financial institutions to make it possible for the farmers to acquire this technology. Despite the infusion of seed-fertilizer technology, per acre yield of major crops like wheat, rice, cereal and sugar-cane in Pakistan is lower than in most LDCs in the region. Therefore, it is concluded that the use of present technology has reached a plateau and it is time to look for additional inputs for improvement in productivity.

Trade Openness, Foreign Direct Investment and Economic Growth: Empirical Evidence from India

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Brajaballav Pal
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Unit Root Test ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
The Government

This paper examines the relationship among GDP, foreign direct investment and trade openness for India using time series data from 2001 to 2016. In this study unit root test is used to solve the problem of stationery and to determine the order of integration between the variables. Johnson co-integration test suggests that there is a long run equilibrium relationship among the variables by considering relationship between Gross Domestic Product (GDP), Foreign Direct Investment (FDI) and Trade Openness (TO). The result indicates that trade openness exerts influence on foreign direct investment. The government and policy makers should take up strategies to attract foreign investment so as to promote economic growth.

MOBILIZATION OF DOMESTIC FINANCIAL RESOURCES FOR AGRICULTURAL PRODUCTIVITY IN NIGERIA

2012 ◽  
Vol 02 (12) ◽  
pp. 01-07
Author(s):  
Awe A.A
Keyword(s):  
Federal Government ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Forecast Error ◽  
Agricultural Productivity ◽  
State Level ◽  
Financial Resources ◽  
Series Data ◽  
Agricultural Credit ◽  
The Government

The paper examines the mobilization of domestic financial resources for agricultural productivity in Nigeria with a view to identify the contributions of the various sources of finance to agricultural productivity in Nigeria. To achieve this objective, the paper employed Vector Auto Regressive Model (VAR) to analyze time series data from (1980 – 2009). The paper identified the various instruments and strategies used by the government for mobilizing resources for the agricultural sector in Nigeria to include subsidy and agricultural credit policies that were financed through Nigerian Agricultural Credit Bank (NACB), credit facilities from Nigerian Bank for Commerce and Industries at the state level, credit through Commercial and Merchant Banks and provision of agricultural credit to the defunct Commodity Board by the Central Bank of Nigeria. The OLS (VAR) result revealed positive relationships between the variables and the variance decomposition measured the proportion of forecast error. The paper therefore recommend that the Federal government recurrent expenditure on agriculture should be reviewed upward for enhanced agricultural productivity and that both the Federal government and the Commercial Banks should mobilize more financial resources toward the agricultural sector to boost agricultural productivity which would guaranteed maximum agricultural productivity in Nigeria.

scholarly journals The Effect of Government on Economic Growth in Fiji

2003 ◽  
Vol 48 (01) ◽  
pp. 27-38
Author(s):  
D. P. Doessel ◽  
Abbas Valadkhani
Keyword(s):  
Economic Growth ◽  
Private Sector ◽  
Time Series Data ◽  
Empirical Relationship ◽  
Government Expenditure ◽  
Series Data ◽  
Size Of Government ◽  
High Productivity ◽  
Government Sector ◽  
The Government

This paper investigates the empirical relationship between the size of government and the process of economic growth in Fiji. The results reported here present a mixed picture, in that the model estimated specifies two different effects of the government sector on economic growth. Using annual time series data for the period 1964–1999, it is found that government expenditure exerts a strong beneficial impact on economic growth. However, marginal factor productivity in the government sector is found to be lower than that of the private sector. The reasons for this low productivity are two-fold: the result of the lack of market incentives and signals in the public sector and the involvement of Fiji's government in some activities which may be rationalised in terms of the socio-political objectives of the Fijian government. While recognising that there may be factors which may hinder the process of efficiency in the private sector, it can be argued that by shifting factors of production from the low productivity (government) sector to the high productivity (private) sector, the rate of growth of GNP will increase.

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

scholarly journals The Dynamic Relationship among Economic Growth, Energy Consumption and Environment in Iran

2015 ◽  
Vol 50 ◽  
pp. 118-128
Author(s):  
Hamid Amadeh ◽  
Parisa Kafi
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
Growth Energy

In recent decades, environmental risks and hazards are more visible. These damages caused by a combination of factors such as population growth, economic growth, energy, and industrial activities. This study discusses long-run equilibrium relationship, short-term dynamic relationships and causal relationships between energy consumption, economic growth and the environment (carbon dioxide emissions) in Iran, by using time series data during 1971-2009, through Co integration test. Co integration test demonstrates that a long-run relationship exists among the three variables. It is obvious that carbon dioxide emissions will be increased by positive shock of energy consumption and economic growth, by a one percent increase in energy consumption and economic growth, carbon dioxide emissions will increase 55 and 43 percent respectively. The result of this study is important because of reducing carbon dioxide emissions from energy use and economic development matters. In other words, to reduce carbon dioxide emissions, the government should reduce the amount of Petroleum products in energy consumption, and it also improves the efficiency of using energy.

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