scholarly journals An Econometric Analysis of Food Security and Agricultural Credit Facilities in Nigeria

2018 ◽  
Vol 12 (1) ◽  
pp. 227-239 ◽  
Author(s):  
Romanus Osabohien ◽  
Adesola Afolabi ◽  
Abigail Godwin
Keyword(s):  
Food Security ◽  
Interest Rates ◽  
Commercial Banks ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Labour Force ◽  
Series Data ◽  
Agricultural Credit ◽  
Development Indicators ◽  
The Government

Background:It is a known fact that the efficiency of credit facility positively contributes to production base of a sector, especially the Nigerian agricultural sector which is recognised as the heartbeat of the economy by employing over 70% of the country’s labour force; this forms the motivation for this study.Objective:This study examined the potential of agricultural credit facilities in terms of commercial bank credit to agriculture and agricultural credit guarantee scheme fund (ACGSF) and their corresponding interest rates to farmers towards increasing agricultural production as the pathway to food security in Nigeria.Method:The study employed the Autoregressive Distribution Lag (ARDL) econometric approach on the time series data sourced from the Central Bank of Nigeria (CBN) statistical bulletin, Food and Agriculture Organisation (FAO) and the World Development Indicators (WDI) for the period 1990-2016.Result:The result from ARDL showed that commercial banks credits and ACGSF increased food security by 8.12% and 0.002% respectively, while population reduces food security by 0.001%.Conclusion:The study concluded that population should be controlled through family planning and adequate financing of the ACFSF by the government and monitor commercial banks leading interest rates on credit facilities.

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 Effect of Agricultural Financing on the Performance of Agricultural Sector in Nigeria

2021 ◽  
Vol 2 (2) ◽  
pp. 1-13
Author(s):  
Obioma I. F. ◽  
Ihemeje J. C. ◽  
Ogbonna C. I. ◽  
Amadi C. O. ◽  
Hanson U. E
Keyword(s):  
Commercial Banks ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Agricultural Credit ◽  
Vector Autoregressive ◽  
Credit Guarantee ◽  
Explanatory Variables ◽  
Long Run

The study examined the effects of agricultural financing on the performance of agricultural sector in Nigeria using annual time series data. The data for the study was sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin. Contribution of agriculture to GDP was used as proxy for the performance of agricultural sector, commercial banks loan to agriculture, rain fall, government expenditure to agriculture and interest rate were used as proxy for explanatory variables. Following unity in the order of integration, Johansen cointegration approach was used to check for the long run relationship among the variables. Vector autoregressive estimate the vector correction mechanism was used to examine the speed of adjustment of the variables from the short run dynamics to the long run equilibrium. The study found that there is long run relationship among the variables. Specifically; there is significant and long run effect of Agricultural Credit Guarantee Scheme on Contributions of agriculture to GDP. Commercial banks loans to agriculture showed positive and significant effect on Contributions of agriculture to GDP within the reference period. The coefficient of multiple determinations explained the variation in the dependent variable jointly explained by the independent variables. The study recommend that there should be increase in the amount which the agricultural credit guarantee scheme inject into the sector on annual basis and  proper supervisory measures should be constituted in order to ensure efficient application and use of the money.

scholarly journals Inflation and Commercial Banks Operation in Tanzania

2020 ◽  
pp. 22-28
Author(s):  
Zuhura Mohamed Abdallah ◽  
Safia Yahya Saadat
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Time Series Data ◽  
Positive Impact ◽  
Financial Sector ◽  
Bank Lending ◽  
Series Data ◽  
Monitoring And Control ◽  
Long Run ◽  
The Government

This paper addresses connection of inflation and commercial banks operation by using quarterly time series data from 2008 to 2017. The study precisely shows relationship of inflation and customer savings in the commercial banks; and bank lending to customers using Vector Error Correction Model. The study reveals that there is existence of long run relationship among customer saving and inflation; and bank lending and inflation. The study reveals positive impact of customer saving and bank lending on inflation. The government of Tanzania should increase expenditure to necessary activities so as to expand banks operations because it is a crucial sector in the financial sector. However, the government should have continuous monitoring and control of the inflation to prevent financial sector shakiness. Additionally, Commercial banks should put much control on lending by increasing interest rates and choosing borrower with good character.

scholarly journals INTEREST RATE, MONEY SUPPLY AND GROWTH OF MORTGAGE FINANCING AMONG COMMERCIAL BANKS IN KENYA

2021 ◽  
Vol 6 (2) ◽  
pp. 1-11
Author(s):  
Chanzu Luyali ◽  
Julius Bichanga ◽  
M Gekara
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Commercial Banks ◽  
Time Series Data ◽  
Negative Impact ◽  
Model Specification ◽  
Series Data ◽  
Unique Contribution ◽  
The Government

Purpose: The purpose of this study was to investigate the effects of interest rate and money supply on the growth of mortgage financing among Commercial banks in Kenya. Materials and methods: The study adopted a descriptive research design. The population contained 35 loan lending commercial banks over a period between 1985 and 2019. Secondary data was used from desired financial statements available to the public of the singular commercial banks and other posted reports of financial institutions and establishments in conformity with the study. Time-series data were analyzed using STATA version 13 software, regression analysis and model specification tests. The hypothesis was tested using the multiple regression approach a significance level of 0.05 was used. Results: The study found that interest rate (coef= -0.0822, p= 0.007) and money supply (coef= 0.548, p= 0.00) have significant effects on the growth of mortgage financing among Kenyan commercial banks. Unique contribution to theory, practice and policy: Kenya's central bank should put in place mechanisms to guarantee that interest rates and money supply do not have adverse impacts on bank mortgage financing. The government should guarantee currency stability since currency fluctuations may have a negative impact on commercial bank mortgage borrowing. The classical theory is therefore relevant in our research since interest rates impact mortgages when capital demand increases. The quantity theory of money demand also holds that individuals want cash based on the transactions they need.

scholarly journals Empirical Analysis of Demand for Real Money Balances in Africa: Panel Evidence from Nigeria and Ghana

2020 ◽  
Vol 19 (4) ◽  
pp. 363-376
Author(s):  
Chigozie Nelson Nkalu
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Time Series Data ◽  
Generalized Least Squares ◽  
Real Income ◽  
Seemingly Unrelated Regression ◽  
Series Data ◽  
Real Money ◽  
Development Indicators ◽  
Preference Theory

Abstract This study investigates demand for real money balances in Africa using panel time-series data from Nigeria and Ghana between 1970 and 2014. The study employs Levin, Lin, Chu common unit root process and Pedroni Residual Cointegration Test which the results reveal that all the variables in the model are stationary and cointegrated respectively. Data sourced from the World Development Indicators (WDI) were analyzed using Panel Two-Stage Estimated Generalized Least Squares (cross-section Seemingly Unrelated Regression model (SURE)) with Instrumental Variables (IV). The results conform to the liquidity preference theory, with all the variables – inflation, real interest rates, and official exchange rates are statistically significant except real income. It is recommended that the monetary authorities in Africa especially the economies of Nigeria and Ghana should adopt appropriate monetary policies by placing interest rates, inflation and official exchange rates at acceptable levels to boost income through private sector investments.

scholarly journals Aquaculture Production and Consumption of Fish in India

2021 ◽  
Vol 10 (1) ◽  
pp. 21-26
Author(s):  
Dhanya Sai Das ◽  
R Govindasamy
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Food Security ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Food Protein ◽  
Fish Production ◽  
Total Fish ◽  
The Government

Aquaculture and fisheries emerged as an important source of food, protein, nutrition, livelihood and employment for the majority of the rural population. The fisheries sector has registered a sustainable and astounding growth rate over the last decade. The sector offers an attractive and promising future for employment, livelihood and food security. The study is based on the available secondary data from different aspects of fishery statistics published in Handbook on Fisheries Statistics 2020 by the Government of India and other related articles. Data for the time series analysis was taken from 2001-02 to 2017-18. It is found that the world per capita apparent consumption of fish has been increased by 10.4 kg from the 1960s (i.e., 9.9 kg) to 2016 (i.e., 20.30 kg). By analysing the time-series data, it is evident that the total fish production, including both marines and inland, has shown an astounding growth with a Compound Growth Rate of 4.58. The regression equation was Y = 5.182X – 12267, R2 value was 0.9414 where Y is the total fish production (dependent variable) and X is the total fish seed production (independent variable). There exists a positive relationship between fish seed and fish production in the country. It can be concluded that aquaculture plays a significant role in the country’s GDP rate and food security.

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.

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 ANALISIS DAMPAK PENGELUARAN PEMERINTAH DI BIDANG PENDIDIKAN TERHADAP PDB PER KAPITA: SPENDING MORE OR SPENDING BETTER

2021 ◽  
Vol 6 (3) ◽  
pp. 211-226
Author(s):  
Achmad Rifa'i ◽  
Ganiko Moddilani
Keyword(s):  
Human Resources ◽  
Government Spending ◽  
Time Series Data ◽  
Education Sector ◽  
Series Data ◽  
Vector Error Correction ◽  
Development Indicators ◽  
Vector Error ◽  
The Government ◽  
Relationship Of

Government spending is the first way to create quality human resources through budget allocation commitments in the education sector. In turn, a labor market filled with quality human resources will encourage welfare and productivity and it will impact the national economy. This study aims to analyze the relationship of government spending in education to the aggregate welfare proxied using GDP per capita. This study used time-series data 1980-2018 from World Development Indicators (WDI) World Bank. Vector Error Correction Model (VECM) is employed to analyze the government spending in the education sector to the welfare. Empirically, the findings of this study reveal that government spending in the education sector affects aggregate welfare with a little magnitude. The issue of equity and disparity in fiscal capacity among regions is the main matter. On the other side, Geographic, social, cultural, and population conditions are challenges that must be solved by the government.

scholarly journals PENGARUH HARGA MINYAK DUNIA DAN SUKU BUNGA TERHADAP PERTUMBUHAN EKONOMI INDONESIA TAHUN 1987-2017

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Ina Yanti ◽  
Ratna Ratna
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Time Series Data ◽  
Oil Prices ◽  
Series Data ◽  
Energy Information Administration ◽  
Analysis Model ◽  
Negative Effect ◽  
The Government ◽  
Positive Effect

This study aims to determine the effect of world oil prices and interest rates on the economic growth of Indonesia. The data used in this study is time-series data during1987-2017 obtained from Indonesia. (Energy Information Administration), Bank Indonesia, and the Central Bureau of Statistics. Data analysis methods use multiple linear regression and Vector Autoregression (VAR) models. The results of the study show that partially the world oil prices and interest rates have a significant and negative effect on the economic growth of Indonesia. Simultaneously, world oil prices and interest rates have a significant and positive effect on the economic growth of Indonesia. Furthermore, the results of testing the VAR analysis model indicate that world oil prices have a positive and significant effect on the economic growth of Indonesia, and interest rates have a positive and insignificant effect on the economic growth of Indonesia. It recommends that the government and all stakeholders must collaborate to reduce or eliminate the influence of shocks to global oil prices domestically and a concrete step that needs to be sought is to normalize the habits that used to be wasteful of fuel to save fuel.

Sign in / Sign up

Export Citation Format

Share Document