scholarly journals Credit rationing by deposit money banks and implication on agricultural output in Nigeria

2020 ◽  
Vol 19 (1) ◽  
pp. 59-69
Author(s):  
P.N. Egwu ◽  
Bernard E Nnabu ◽  
B.N. Mbam ◽  
S.U. Nwibo

The study examined the effects of credit rationing by deposit money banks on the performance of agriculture in Nigeria using secondary data  between 1981 and 2016 obtained from the CBN Statistical bulletin. The study applied both Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root test to determine the order of integration of each variable, Johansen cointegration and Vector Error Correction Model (VECM) were employed to determine if there is a long run, the short-run relationship between credit rationing and agricultural output. The result showed that all the variables were integrated of order one. The results revealed that credit rationed for fishery has a short-run significant impact on agricultural output while credit rationed for cash crops, food crops, and livestock do not have a significant short-run impact on agricultural output. The findings further revealed that credit rationed for cash crops and livestock farming significantly decline agricultural output to the tune of 26.48% and 75.87% in the long run while credit rationed for food crops and fishery significantly result in 43.52% and 41.89% rise in agricultural output in the long run. Therefore, the study recommends the establishment of special financial institutional to give unconditional loans to farmers, raise credit rationing for food crop production above the current ceiling, and emphasis should be on exchange rate liberalization policy that will shift consumption from imported agricultural produce to local agricultural produce. These measures will promote farmers’ access to funding which will invariably translate  to a rise in agricultural output. Keywords: Credit, Rationing, Money Deposit Bank, Agriculture, Output, Nigeria

Author(s):  
Ramesh Chandra Das ◽  
Arundhati Mukherjee

There have been debates among the so-called developed economies and less developed and emerging economies on the issue of ‘who is responsible for' the emission of excessive greenhouse gases (GHGs) into the ambient environment. While methane emissions from agriculture and livestock is one of the important elements of GHGs, it is also required for growth of the agriculture and allied activities for all economic categories. The present study, under this backdrop, examines long run and short run linkages between methane emissions and agriculture outputs for high and low to upper middle-income countries for the period 1981-2012. The results show that the series of methane emissions and agriculture output are cointegrated in the 15 member Organization for Economic Co-operation and Development (OECD) group, low income and middle income countries signifying the responsibilities of these income groups in methane emissions. The responsible countries in the OECD are USA, UK, Japan, Germany, and Italy. Further, in short run dynamics, the Granger Causality results show that methane emissions make a cause to agriculture output for 15OECD and low-income countries, and agricultural output is a cause to methane generation for middle and all low to upper middle income countries. China, India, and Brazil cannot be blamed for making excessive methane generation as both the series are not cointegrated for them.


Author(s):  
Peter Winker

SummaryCredit rationing is often considered as the outcome of asymmetric information between lenders and borrowers. The paper combines this aspect with a marginal price setting behavior of the banks. The resulting model describes adjustment processes between interbank rates, interest rates on deposits and on loans. Due to the non stationarity of the data, the model is estimated in error correction form allowing for distinguishing between short run dynamics and long run equilibrium. The derived hypothesis of a delayed adjustment of loan rates to changes in the interbank rates cannot be rejected with monthly data covering the sample 1975 to 1989.


Author(s):  
Mufaro Andrew Matandare ◽  
Patricia Masego Makepe ◽  
Lekgatlhamang Setlhare ◽  
Jonah Bajaki Tlhalefang

There are few studies in Botswana which have examined the relationship between agriculture and economic growth. The uniqueness of this study is grounded in investigating disintegrated agriculture components into crop production and livestock production and investigating their nexus with economic growth. This study estimated the short and long term effects between crop production, livestock production and economic growth in Botswana for the period 1990 to 2017. The Auto-Regressive Distributed Lagged (ARDL) bounds testing approach was employed to investigate the stated relationship. Study findings from the ARDL bound testing approach confirm evidence of a long-run equilibrium relationship between crop production, livestock production and economic growth. Results indicated that livestock production has a positive and significant impact on economic growth both in the short run and long run. On the other hand crop production has a positive and significant impact on economic growth only in the long run. Efforts towards supporting agricultural sector growth should be emphasized to promote agricultural sector productivity in a bid to forge a move away from dependence on imports of food in Botswana. To enhance economic growth, in both the short run and long run, the government of Botswana and all relevant stakeholders should invest in and promote livestock production. In the long term, policies that foster crop production are essential for economic growth.


1999 ◽  
Vol 35 (2) ◽  
pp. 211-224 ◽  
Author(s):  
M. P. LUCAS ◽  
S. PANDEY ◽  
R. A. VILLANO ◽  
D. R. CULANAY ◽  
S. R. OBIEN

Many farmers are intensifying production systems by applying greater amounts of inorganic fertilizers, irrigation and pesticides, especially to cash crops. Such intensified systems, even though economically profitable in the short run, may not be sustainable. This paper analyses the economics and sustainability of an intensified rainfed rice-based system in Ilocos Norte, Philippines. Farmers use high levels of inorganic fertilizers for cash crops such as sweet pepper, garlic and tomato. Although these crops generate high levels of income, the high input systems may not be sustainable in the long run due to adverse on-site and off-site effects. Preliminary estimates of total factor productivity that include on-site effects only, display no clear time trend. However, negative externalities created by high nitrate contamination of groundwater and high rates of pesticide usage could make the system unsustainable by adversely affecting human health and the environment.


2020 ◽  
Vol 9 (3) ◽  
pp. 6
Author(s):  
Adamu Mulu Ketema ◽  
Kasahun Dubale Negeso

Currently climate change is known as the major environmental problem the world face. Its effect is openly reduces agricultural output in particular and economic growth in general. The aim of the study was to examine the long run and short run effect of climate change on agricultural output in Ethiopia over a period of 1980-2016. The ARDL approach to co integration was applied to examine the long run and short run effect of climate change on agricultural output. ADF test was used for Unit root test. The finding of bound test shows that there is stable long run relationship between RAGDP, labour force, Mean annual rainfall, Average temperature, agriculture land, and fertilizer input import. The estimated long run model reveals that climate changes have an important effect on agricultural output which is the main contributor of overall GDP of the country. The coefficient of error correction term is -0.738 suggesting about 73.8% percent annual adjustment towards long run equilibrium. The estimate coefficients of short run show that mean annual rainfall have significant effect but average temperature is insignificant effect on output. In the long run both main variable of interest have significant effect on agricultural output with a positive effect from mean annual rainfall and negative effect from average temperature. To reduce the effect of climate change the study recommends government and stakeholders needs to create a specific policies to reduce the effect of climate change especially focus on technological innovation that avert effect of increase in temperature that would result increase on the output and adopting technology at macro and micro level.. 


2020 ◽  
Vol 8 (3) ◽  
pp. 195-208
Author(s):  
Adamu Mulu Ketema ◽  
Kasahun Dubale Negeso

Currently change in climate is known as the main environmental difficult that the world face. Its effect is openly reduces agricultural output in particular and economic growth in general. The main objective of the study was to examine the long run and short run effect of climate change on agricultural output in Ethiopia over a period of 1980-2016. The Auto Regresive Distributive Lag approach to co integration was applied to examine the long run and short run effect of climate change on agricultural output. ADF test was used for Unit root test. Result of bound test reveals that there is stable long run relationship between RAGDP, labour force, Mean annual rainfall, Average temperature, agriculture land, and fertilizer input import. The estimated long run model reveals that climate changes have an important effect on agricultural output which is the main contributor of overall GDP of the country. The coefficient of error correction term is -0.738 suggesting about 73.8% annual adjustment towards long run equilibrium. The estimate coefficients of short run show that mean annual rainfall have significant effect whereas average temperature has insignificant effect on output. In the long run both main variable of interest have significant effect on agricultural output with a positive effect from mean annual rainfall and negative effect from average temperature. In order to lessen the effects the study recommends concerned body needs to create a specific policies especially focus on technological adoption that avert effect of increase in temperature and that would result increase on the output by adopting technology at macro and micro level, additionally information regarding climate should be available for producers and consumer.


2005 ◽  
Vol 10 (1) ◽  
pp. 105-121
Author(s):  
Mohammad Pervez Wasim

In third world countries, where the level of mechanization in agriculture is low, livestock rearing is mainly for draught purpose. On the other hand, the use of animals for draught purpose is low in developed countries owing to the high level of farm mechanization and the animals are mainly reared for the consumption of meat and milk. Milk production in Pakistan is an important enterprise for over five million households owning buffaloes and cattle. Supply response of livestock has been undertaken mostly in developed countries. In developing countries livestock farming is not done on a large scale basis. This study is an attempt to obtain the best estimates of the response of milk producers while making a decision about production allocation of milk in Pakistan. The main objectives of the study are: (1) to test whether Pakistani milk producers respond to price movements (2) to estimate the elasticities of production with respect to milk producers: (a) relative price (b) credit and lagged production (c) to make a comparison of short-run and long-run price elasticities with that of developed and underdeveloped countries (d) to identify policy measures. The study is based on secondary data at the Pakistan level and covers a period of 31 years, starting from 1971-72 to 2002-03. Marc Nerlove’s (1958) partial adjustment lagged model is used for the study. The result of the analysis reveals that in the process of making the production decisions for milk production, all the variables (relative price, credit availability and lagged milk production) are equally important.


2018 ◽  
Vol 64 (No. 11) ◽  
pp. 508-516 ◽  
Author(s):  
Habtamu ALEM

This paper examines the recent advances in stochastic frontier (SF) models and its implications for the performance of Norwegian crop-producing farms. In contrast to the previous studies, we used a cost function in multiple input-output frameworks to estimate both long-run (persistent) and short-run (transient) inefficiency. The empirical analysis is based on unbalanced farm-level panel data for 1991–2013 with 3 885 observations from 455 Norwegian farms specialising in crop production. We estimated seven SF panel data models grouped into four categories regarding the assumptions used to the nature of inefficiency. The estimated cost efficiency scores varied from 53–95%, showing that the results are sensitive to how the inefficiency is modeled and interpreted.


2019 ◽  
Vol 65 (No. 6) ◽  
pp. 278-288 ◽  
Author(s):  
Hafiz Asim ◽  
Muhammad Akbar

Does the growth in non-agricultural sectors spill over to the agricultural sector of an economy? There is limited evidence available on the issue for the developing world, especially for Pakistan which has undergone large structural changes since its independence. This study examined the impact of sectoral growth linkages on agricultural output of Pakistan for the period of 1960–2016. We have estimated an econometric model which incorporates inter-sectoral linkages of Pakistan economy using a Vector Error Correction Model (VECM). Our analysis revealed that the economy of Pakistan has shifted from an agricultural dominant economy to services-based economy during the past six decades. Results of VECM show that the industrial sector has a negative impact on the performance of agricultural output whereas services sector is influencing the output of agriculture sector positively in the long run. Short run results show that industrial sector is affecting the performance of agricultural output positively whereas services sector is influencing the output of agriculture sector negatively. Negative impacts of industry in the long run and services in the short run imply that agricultural sector should be given its due share in public investment and the role of middle man should be minimised at the time of sale of agricultural production in the markets.<br />


Author(s):  
Melaku Adinew Aytehgiza ◽  
Gebrekirstos Gebresilasie

This study examined the effect of climate change on agricultural output growth in Ethiopia. Co- Integration and Vector Error Correction Model estimation technique and data for the period 1981-2016 was used. Changing in annual mean temperature, annual mean rainfall, carbon dioxide emission and forest depletion were used to attribute variables for climate change. The result of vector error correction model indicate that both in the long-run and short-run, carbon dioxide emissions negatively affect agricultural output growth in Ethiopia. Annual temperature and annual rainfall negatively affect agricultural output growth in the long run and short run respectively.  On the other hand, forest depletion has positive effect on agricultural output growth both long run and the short-run respectively. Policy maker should develop policies to reduce sources of carbon dioxide emissions and introduce mitigation and adaptation measures to sustain the agricultural economic growth.  


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