scholarly journals Impact of Agricultural Input Supply on Agricultural Growth in Nigeria

2021 ◽  
Vol 25 (7) ◽  
pp. 1317-1322
Author(s):  
G. Opeyemi ◽  
S.S. Olusegun ◽  
A. Taiwo ◽  
A.O. Mobolaji
Keyword(s):  
Rural Areas ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Production Capacity ◽  
Series Data ◽  
Agricultural Growth ◽  
Distributed Lag ◽  
Development Indicator ◽  
World Development Indicator ◽  
Agricultural Input

Improving the production capacity of agriculture in Nigeria through agricultural input supply is an important policy goal in a country where agriculture represents an important sector in the economy. The agricultural sector provides livelihood to a significant portion of Nigerian population, especially in rural areas, where poverty is more pronounced. Thus, a growing agricultural sector contributes to both overall growth and poverty alleviation. The study specifically examined the effects of agricultural input supply on agricultural growth in Nigeria from 1990 to 2017. The objective of this study is to examine agricultural input supply in Nigeria and its implications on the growth of agricultural growth in Nigeria. The study used time series data covering 1986-2016 obtained from FAOSTAT, World Development Indicator and Central Bank of Nigeria data base. This study utilized Auto-Regressive Distributed Lag (ARDL) approach to investigate the variables. The finding of the study shows that there is co-integration between the variables. The result of the study shows that gross capital formation and Fertilizer supply to agriculture were significant in influencing agricultural growth in Nigeria with coefficient values of (-0.002468), and (0.001506), with P-values of (0.0222) and (0.0171) respectively. Given the robust nature of the result, it is evident that agricultural input supply contributes in great measure to agricultural growth in Nigeria. The study then conclude that agricultural input is essential for the growth of agricultural sector in Nigeria and recommend that given the lean resources available to government, attention should be given to the inputs that contributes significantly to the growth of the sector.

scholarly journals Impact of Agricultural Input Supply on Agricultural Growth in Nigeria

2021 ◽  
Vol 25 (8) ◽  
pp. 1349-1354
Author(s):  
G. Opeyemi ◽  
S.S. Olusegun ◽  
A. Taiwo ◽  
A.O. Mobolaji
Keyword(s):  
Rural Areas ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Production Capacity ◽  
Series Data ◽  
Agricultural Growth ◽  
Distributed Lag ◽  
Development Indicator ◽  
World Development Indicator ◽  
Agricultural Input

Improving the production capacity of agriculture in Nigeria through agricultural input supply is an important policy goal in a country where agriculture represents an important sector in the economy. The agricultural sector provides livelihood to a significant portion of Nigerian population, especially in rural areas, where poverty is more pronounced. Thus, a growing agricultural sector contributes to both overall growth and poverty alleviation. The study specifically examined the effects of agricultural input supply on agricultural growth in Nigeria from 1990 to 2017. The objective of this study is to examine agricultural input supply in Nigeria and its implications on the growth of agricultural growth in Nigeria. The study used time series data covering 1986-2016 obtained from FAOSTAT, World Development Indicator and Central Bank of Nigeria data base. This study utilized Auto-Regressive Distributed Lag (ARDL) approach to investigate the variables. The finding of the study shows that there is co-integration between the variables. The result of the study shows that gross capital formation and Fertilizer supply to agriculture were significant in influencing agricultural growth in Nigeria with coefficient values of (-0.002468), and (0.001506), with P- values of (0.0222) and (0.0171) respectively. Given the robust nature of the result, it is evident that agricultural input supply contributes in great measure to agricultural growth in Nigeria. The study then conclude that agricultural input is essential for the growth of agricultural sector in Nigeria and recommend that given the lean resources available to government, attention should be given to the inputs that contributes significantly to the growth of the sector.

scholarly journals AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT FACTORS AFFECTING AGRICULTURAL GROWTH IN IRAQ USING ARDL MODEL

2019 ◽  
Vol 50 (6) ◽  
Author(s):  
Alattabi & AlBadri
Keyword(s):  
Labor Force ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Unit Root Test ◽  
Fixed Capital ◽  
Series Data ◽  
Agricultural Labor ◽  
Agricultural Growth ◽  
Distributed Lag ◽  
Agricultural Imports

This research was aimed to study some factors influencing agricultural growth in Iraq. Using time series data for the period 1990 – 2017, of agricultural growth (a dependent variable) and agricultural exports, agricultural imports, agricultural fixed capital and the agricultural labor force (as independent variables). For these purposes, were statistical and econometrics methods employed to determine the most important aspects of this problem in agricultural sector. Co-integration analysis was used which developed by Johansen, also Augmented Dicky – Fuller of unit root test to determine non stationary data for choosing the best analysis method. In light of results, Auto-Regressive Distributed Lag model (ARDL) was used in assessment and analysis. The results showed presence of co-integration in both agricultural imports and agricultural labor force with elasticity coefficients (-0.3 and-0.6), respectively and significant at 1% and 5% levels respectively, and lack of co-integration of both the agr.exports and agricultural fixed capital with elasticity coefficients (0.2 and 0.03) respectively which they are not significant.

scholarly journals Structural Transformation of Agriculture and Poverty in Indonesia

2020 ◽  
Vol 10 (1) ◽  
pp. 1-12
Author(s):  
Fitria Ardiansyah ◽  
Herman Cahyo Diartho ◽  
Endah Kurnia Lestari
Keyword(s):  
Development Strategy ◽  
Structural Transformation ◽  
Rural Areas ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Series Data ◽  
Poor People ◽  
Modern Development ◽  
Long Run ◽  
The Development Strategy

The trend of modern development in some countries is the decline in the contribution of the agricultural sector to GDP (gross domestic product), as a consequence of the increased contribution of the non-agricultural sector. So the development strategy that is often applied is to increase the role of the modern sector (industry and services) that have a high level of productivity. The agricultural sector, which has low productivity, often escapes the development strategy, even though the agricultural sector is a place to make a living for some poor people who are in rural areas. This study aims to analyze the effect of economic structural transformation on poverty in Indonesia. The type of data used in this study is quantitative data, in the form of time series data between 1980-2017 obtained from World Bank publications, the World Income Inequality Database, and the Central Statistics Agency. Analysis of the data used is to use VECM estimation to see the short-term relationship and the long-term relationship of each variable. The estimation results of the Vector Error Correction Model (VECM) concluded that in the long run, the agricultural sector has a negative and significant relationship to poverty, while the industrial and service sectors do not have a significant effect on poverty in Indonesia. Per capita income has a positive relationship with poverty in Indonesia. Based on the explanation, it concludes that the policy that must be implemented to overcome the problem of poverty is to develop the agricultural sector.

scholarly journals Agro-Allied Industry and its Relevance on Economic Performance: Evidence from Nigeria

2017 ◽  
Vol 3 (6) ◽  
pp. 25
Author(s):  
Gylych Jelilov ◽  
Kashim Andrew Bahago
Keyword(s):  
Time Series Data ◽  
Value Added ◽  
Secondary Data ◽  
Series Data ◽  
Poverty Level ◽  
Factor Endowments ◽  
Long Run ◽  
Development Indicator ◽  
World Development Indicator ◽  
World Development

<p>Nigeria is a nation with various factor endowments, but yet there is still the threat of hunger, extreme poverty and the need to combat this menace calls for urgent attention. Therefore, this study is to focus on the analysis of agro-allied industry and the possibility of reducing the poverty level of the Nigerian populace and enhance a better economic condition. The data for this study is a yearly range from 1986 – 2015. The time series data used for this study is secondary data obtained from world development indicator (WDI). Using the Augmented Dicky-Fuller to check for stationarity of variables after which I will conduct the cointegration test to check for the long-run relationship between the variables. Therefore the findings from various econometrics techniques employed for this study show that there is a long-run relationship between agricultural value-added and gross domestic product.</p>

Macro-Economic Disequilibrium and Educational Development in Nigeria between 1980-2017

2019 ◽  
Vol 10 (08) ◽  
pp. 20592-21600
Author(s):  
Gbadebo Salako ◽  
Adejumo Musibau Ojo ◽  
Jaji Ayobami Francis
Keyword(s):  
Time Series Data ◽  
Educational Development ◽  
Negative Relationship ◽  
Series Data ◽  
Explanatory Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Stationarity Test ◽  
Level I

This study empirically investigates the effects of macroeconomic disequilibrium on educational development in Nigeria. The study employed time series data between 1980 and 2017. Autoregressive Distributed Lag method of estimation was employed. The result revealed that the variables stationarity test were mixed between the first difference I(I) and level I(0). The cointegration result shows that there exist long run relationship between the variables. The result revealed that Balance of payment, Poverty, Debt rate inflation and unemployment exhibited negative relationship with educational development. The estimation result showed that all explanatory variables account for 88% variation of educational development in Nigeria. It is therefore recommended that government should fast track policies that can stabilize inflation and exchange rate in the country. Also, Policies must be formulated to reduce poverty and unemployment.

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.

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

Export-led Growth Hypothesis: Econometric Evidence from Malaysia

2013 ◽  
Vol 14 (2) ◽  
pp. 94-112
Author(s):  
Hassanudin Mohd Thas Thaker ◽  
Tan Siew Ee ◽  
Sushant Vaidik
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Paper Cover ◽  
Econometric Evidence ◽  
Augmented Dickey Fuller ◽  
Growth Hypothesis

The objective of this paper is to test the validity of the Export-led Growth Hypothesis (ELGH) in the Malaysian economy. Malaysia has always been considered to have attained its growth primarily through exports (Okposin, Bassey, Hamid, Halim, and Boon, 1999; Mun, 2008; Mahathir, 1990). In the past, several studies on this topic have been conducted but their analyses were limited to relationships using Bound-testing, Autoregressive –Distributed Lag (ARDL) and the Toda Yamamoto analysis. Empirical data and analysis in our paper cover a 21 – year span and quarterly time-series data (1991:Q1 – 2012:Q4) are used to test this ELG hypothesis. Also, many dynamic econometric measures including the Augmented Dickey Fuller (ADF) and Phillip – Perron (PP) unit root tests, Cointegration test as well as the Vector Error Correction model (VEC) for the long run have been applied. Based on these generic models, both real exports and capital stock (productivity) are found to have stimulated positive adjustments to economic growth in the long run whereas real exchange rate is found to have influenced economic growth negatively. Overall, our conclusion is that the ELG hypothesis seems applicable to Malaysia in the long run.

Temporal trends of the association between extreme temperatures and hospitalisations for schizophrenia in Hefei, China from 2005 to 2014

2021 ◽  
Vol 78 (5) ◽  
pp. 364-370
Author(s):  
Rubing Pan ◽  
Qizhi Wang ◽  
Weizhuo Yi ◽  
Qiannan Wei ◽  
Jian Cheng ◽  
...  
Keyword(s):  
Time Series Data ◽  
Temporal Trends ◽  
Extreme Temperature ◽  
Series Data ◽  
Extreme Temperatures ◽  
Distributed Lag ◽  
Increasing Trend ◽  
Related Hospitalisation ◽  
Extreme Cold ◽  
And Gender

ObjectiveWe aimed to examine the temporal trends of the association between extreme temperature and schizophrenia (SCZ) hospitalisations in Hefei, China.MethodsWe collected time-series data on SCZ hospitalisations for 10 years (2005–2014), with a total of 36 607 cases registered. We used quasi-Poisson regression and distributed lag non-linear model (DLNM) to assess the association between extreme temperature (cold and heat) and SCZ hospitalisations. A time-varying DLNM was then used to explore the temporal trends of the association between extreme temperature and SCZ hospitalisations in different periods. Subgroup analyses were conducted by age (0–39 and 40+ years) and gender, respectively.ResultsWe found that extreme cold and heat significantly increased the risk of SCZ hospitalisations (cold: 1st percentile of temperature 1.19 (95% CI 1.04 to 1.37) and 2.5th percentile of temperature 1.16 (95% CI 1.03 to 1.31); heat: 97.5th percentile of temperature 1.37 (95% CI 1.13 to 1.66) and 99th percentile of temperature 1.38 (95% CI 1.13 to 1.69)). We found a slightly decreasing trend in heat-related SCZ hospitalisations and a sharp increasing trend in cold effects from 2005 to 2014. However, the risk of heat-related hospitalisation has been rising since 2008. Stratified analyses showed that age and gender had different modification effects on temporal trends.ConclusionsThe findings highlight that as temperatures rise the body’s adaptability to high temperatures may be accompanied by more threats from extreme cold. The burden of cold-related SCZ hospitalisations may increase in the future.

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.

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