IMPACT OF STRUCTURAL ADJUSTMENT PROGRAMS ON AGRICULTURAL SECTOR GROWTH IN KENYA

2017 ◽  
Vol 2 (1) ◽  
pp. 1-33
Author(s):  
Dr. Pauline Mbithe ◽  
Dr. Prof. Germano Mwabu ◽  
Mr. Maurice Awiti

Purpose: The study was an examination of the impact of structural adjustment programs on agricultural growth in Kenya.Methodology: The study examined the short run and long run determinants of agricultural sector performance in Kenya. To achieve this, the study use time series regression modeling for data spanning from 1975 to 2010. Tests of normality, unit roots test and cointergration test was applied to determine the properties of the data.  Upon proof of cointergration, an error correction model was estimated to link the short run and the long run relationships.Results: The results indicated that structural adjustment programme (SAPs) had a negative and significant long run effect on per capita agriculture GDP.  The study concluded that Post Election Violence had a negative and significant long run effect on the per capital agriculture GDP. The study also concluded that the lagged per capital agricultural performance had a positive and significant effect on the per capita agricultural performance. The results also led to the conclusion that the long run per capita agricultural growth may be linked to the short run growth by an error correction term of -0.242583 which indicates that 0.242% of the disequilibria in short run per capita agricultural sector GDP achieved in one period are corrected in the subsequent period. The results also led to the conclusion that weather indicators (temperature and precipitation), and per capita infrastructure did not have a significant effect on the short run and long run per capita Agricultural GDP.Unique contribution to theory, practice and policy: The study recommends that some harmful policies need to be eliminated such as the removal of subsidies. Other policy recommendations are to enhance the adaptation of privatized agricultural institutions; encouragement of value addition in primary agricultural products; non price mechanisms such as infrastructure should be encouraged especially in the rural areas; and enhancement of the political stability of the country especially during electioneering years.

2020 ◽  
pp. 097215091987350
Author(s):  
Ramesh Chandra Das ◽  
Kamal Ray

In emerging labour market, particularly, the direct and indirect association between employment level and foreign direct investment (FDI) in a dynamic economy is non-deniable. Like private and public investments, FDI promotes employment generating agenda and at the same time, sound employment scenario of an economy attracts FDI to inflow. Under this backdrop, the present study attempts to examine whether employment and net FDI inflow have long-run associations and short-run dynamics in South Asian economies for the period 1991–2016. Applying cointegration and Granger causality tests for individual country level and panel cointegration, vector error correction and Wald test on the two standardized variables—employment–population ratio and per capita net FDI inflow—reveal that the two indicators have cointegrating relations for Bangladesh and Nepal and FDI makes a cause to employment generation in Bangladesh only. Further, the panel data exercise shows the existence of long-run or equilibrium relations linking the two indicators without significant error correction results. The Wald test results show that there is short-run causality working from employment ratio to per capita FDI and vice versa. The study, thus, prescribes for ensuring quality environment in the concerned domestic economies of the region so that employment opportunities invite FDI inflow to their territories.


2016 ◽  
Vol 5 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Nicholas Apergis ◽  
James E Payne

Purpose – The purpose of this paper is to extend the existing literature on the causal dynamics between entrepreneurship and the unemployment rate (UR) in the use of the Kauffman Foundation index of entrepreneurial activity. Design/methodology/approach – Recently developed panel unit root tests with recognition of cross-sectional dependence and panel cointegration/error correction modeling techniques are applied to US States. Findings – The results indicate that the rate of entrepreneurship, the UR, and real per capita personal income are cointegrated. The panel error correction model reveals that bidirectional causality exists among the variables in both the short run and long run. With respect to entrepreneurship, an increase in the UR increases the rate of entrepreneurship, in turn, an increase in the rate of entrepreneurship lowers the UR. Moreover, the results also show a positive bidirectional relationship between the rate of entrepreneurship and real per capita personal income. Originality/value – Unlike other standard measures of entrepreneurship, this is the first empirical study of the causal dynamics between entrepreneurship and the UR using the Kauffman Foundation index of entrepreneurial activity.


2020 ◽  
Vol 24 (5) ◽  
pp. 923-931
Author(s):  
W.A. Yusuf ◽  
S.A. Yusuf ◽  
A.A.A. Adesope ◽  
O.Z. Adebayo

Primarily, the study examined the determinants of rice import demand in Nigeria by assessing the short run and long run dynamic model  relationships among the determinants, trends and extent of causality among per capita income, population, exchange rate and price of rice imports were equally examined, using data obtained from the Central Bank of Nigeria (CBN) and National Bureau of statistics (NBS) over the period 1961 to 2013. Data obtained showed the perceived determinants of imports demand for rice in Nigeria were local rice production, rice import price, rice consumption, per capita income, and exchange rate, price of local rice, domestic stock variation, maize price, meat price and demographic  development. The short run dynamic model result showed that rice consumption, price of meat, price of maize, local rice quantity, demography development and stock variance are statistically significant at 5%. The significance of the coefficient of the error correction term confirmed theappropriateness of the error correction approach which also showed that ignoring the long run relationship is detrimental. The result however, revealed that rice import demand increases significantly with increasing rice consumption, increasing price of meat, increasing price of maize (keeping that for imported rice unchanged) and increasing demography development. Rice import price, per capita income, price of local rice and exchange rate had no significant effects on rice import demand. The study therefore recommends that locally-produced rice should be intensively improved. Keywords: demography, determinants, Error correction mechanism, rice import demand


Author(s):  
O. O. Akanbi ◽  
E. G. Onuk ◽  
H. S. Umar

The study examined the Effect of Government Agricultural Expenditure on Nigeria’s Economic Growth. Time series data (1981–2015) were generated from the Central Bank of Nigeria and the National Bureau of Statistics. Descriptive Statistics and Vector Error Correction Model were used for data analysis. A unit root test was carried out to ascertain the stationarity of the series. Johansen co-integration test was also carried out to establish co-integration status of the variables in the model. For valid inference, estimated coefficients were subjected to normality, autocorrelation, heteroskedasticity and dynamic stability tests. The null hypotheses in relation to the respective tests statistic could not be rejected at 5% level of significance. The negative sign and statistical significant of Error Correction term of the VEC model, further confirmed the existence of co-integrating relationship among the variables in the model. The descriptive statistics result shows that, for almost a decade, public spending on agriculture consistently decline and was below the 10% benchmark of the Maputo declaration. The estimated VECM results showed that on the long-run, only the coefficient of Government Agricultural Expenditure variable influenced the economic growth, which was proxy by National GDP. This influence was positive and statistically significant at 5% probability level. However, on the short run, the result showed that both coefficients of Government Agricultural Expenditure variable and that of agricultural output were both positive and statistically significant in influencing the economic growth (GDP) at 5% probability level. Hence, since government expenditure has positive and significant effect on economic growth both on the short run and long run, it is recommended that government should review upward agricultural expenditure to stimulate growth in Nigerian economy, which could trigger more employment opportunity, increase per capita income, improved agricultural sector infrastructural deficit  and reduce poverty.


2010 ◽  
Vol 15 (2) ◽  
pp. 77-96 ◽  
Author(s):  
Mohammad Ismail Hossain ◽  
Wim Verbeke

The liberalization of the agricultural sector in general and the rice subsector in particular has been a major component of Bangladesh’s structural adjustment program initiated in 1992. However, the government has continued to intervene in the rice subsector. This paper examines whether the regional/divisional rice markets have become spatially integrated following the liberalization of the rice market. Wholesale weekly coarse rice prices at six divisional levels over the period of January 2004 to November 2006 were used to test the degree of market integration in Bangladesh using co-integration analysis and a vector error correction model (VECM). The Johansen co-integration test indicated that there are at least three co-integrating vectors implying that rice markets in Bangladesh during the study period are moderately linked together and therefore the long-run equilibrium is stable. The short-run market integration as measured by the magnitude of market interdependence and the speed of price transmission between the divisional markets has been weak.


2019 ◽  
Vol 17 (3) ◽  
pp. 342-349 ◽  
Author(s):  
Olufemi Adebayo Oladipo ◽  
Francis Iyoha ◽  
Adeniran Fakile ◽  
Abiola John Asaleye ◽  
Damilola Felix Eluyela

The responsibility of the government of any economy cannot be overemphasized. Likewise, the resources generated and infrastructural development helps to boost the economic growth of any nation. There has been overdependency of Nigerian economy on the oil sector, the major source of revenue. However, this sector has experienced several challenges ranging from devaluation in naira and fall in prices of crude oil in the international market. This serves as a revelation for the Nigerian government to seek an additional source of income. To this end, the main aim of this paper is to examine the impact of total tax revenue on agricultural performance in Nigeria. The study uses Engel and Granger approach to cointegration to establish the long- and short-run behavior, it was found that a positive and significant relationship exists between revenue obtained in the agricultural sector, capital in agricultural sector proxy by loan and agricultural output, while employment and total tax generated are not significant in the short run. In the long run, employment, capital and total revenue are statistically significant with agricultural output, while tax is insignificant. The implication of the result showed that tax has not yielded desirable result in promoting the agricultural sector in Nigeria. To promote pro-poor growth, long-run employment and improve overall welfare, there is a need to incorporate benefit from tax into agricultural performance. The study recommends among others the need for a systemic approach, given a significant percentage of the total tax generated to boost the development of the agricultural sector.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.


1997 ◽  
Vol 25 (1) ◽  
pp. 32-34
Author(s):  
James J. Hentz

Economic stagnation in most of Sub-Sahara Africa is so persistent that “afro-pessimism” has gone from a term of art to common usage. Africa is entering its second decade of economic reform through neoliberal Stabilization Programs (STABs) and Structural Adjustment Programs (SAPs). There is little evidence that these reforms work. Africa is largely to blame, but so too are the logically flawed structural adjustment programs propagated by the International Financial Institutions (IFIs).


2017 ◽  
Vol 2 (1) ◽  
pp. 34-57
Author(s):  
John Githii Kimani ◽  
Dr. George Ruigu Ruigu

Purpose: The purpose of the study was to assess the impact of research and development investment/expenditure on the agricultural sector performance in Kenya.Methodology: The study took the peoples impact assessment direction. The data for this study was collected from various government agencies such as KARI, ASTI, Kenya Agricultural Sector Data compendium website, FAOSTAT, World Bank among others. Co-integration and error correction modeling methods were used in analyzing the data for this study.Results: Co-integration results for both the parsimonious and non-parsimonious model indicated that that there is a long-run relationship among the variables in the agriculture performance in Kenya. Further, findings in this study indicated that the variables under study were insignificant determinants of the long run Total Factor Productivity of the agricultural sector.  Meanwhile, Trade openness was the only significant determinant of the short run agricultural Total Factor Productivity.Unique Contribution to Policy and Practice: This study recommends the institutionalization of policies aimed at ensuring interaction between the various stakeholders in the agricultural sectors. This interaction will ensure that resources are better allocated to reduce duplication of research and dissemination activities. In addition, greater collaboration among the stakeholders will promote and strengthen the connection between research, policy and the application of research findings. The study further advocates that the government should follow a trade liberazation oriented approach to the agricultural sector as opposed to a trade tightening approach.


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