Price response of herd off-take under market liberalization in a developing cattle sector: panel analysis applied to Kenya's ranching

Nyariki, Dickson M.

doi:10.1017/s1355770x08004610

Cited by 7 publications

(11 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of statistical techniques that are available in the literature have been used to model the lagged response while estimating the supply response functions for various livestock products. Most of the previous studies applied Nerlovian model [16], which specified output as a dynamic function of the expected price, output adjustment and some other exogenous variables with minor modification [17,18,19,20,21]. Most of these models suffer serial correlation problem, causing Ordinary Least Square (OLS) estimates to be biased.…”

Section: Model Specificationmentioning

confidence: 99%

Estimation of Supply Response of Livestock Products: The Case of Kajiado District

Manyeki¹,

George²,

Gerald³

2016

ECO

View full text Add to dashboard Cite

During early 1970s and early 1980s economic conditions in general had been favourable for the Kenyan farm sector. Following market liberalization in the late 1980s, farmers and in particular livestock farmers experienced economic hardship. The economic situation facing livestock industry was characterized by wide fluctuation and unpredictability of the livestock and livestock product prices and uncertainity in livestock production and marketing. These shocks coupled with economic conditions in the livestock sector rendered profit-oriented decision-making by livestock farmers and other participants in the industry difficult. The objective of this study was therefore to estimate the livestock products supply responses using an error correction method. The estimators of the model were derived by way of regression and correlation after subjecting the data collected to vigorous testing for stationarity using Augmented Dick-Fuller test. Conclusions were made on the basis of R2 (coefficient of determination) as well as the t statistic. The results indicate that the estimated short run supply function, live cattle and cattle hides were price elastic while sheep and goats were inelastic. The long run supply response was positive although inelastic for live cattle and goats while cattle hide was elastic. The results also showed positive short run price elasticity. On the basis of t-value, the findings were conclusive with all the variables analyzed being statistically significant. The study also found that live cattle and cattle hide supply adjust to equilibrium levels quite fast. These results suggest that livestock farmers in the study area adjust their supply quiet early, probably as soon as they gain the slightest indications that the market signal would be permanent.

show abstract

Section: Model Specificationmentioning

confidence: 99%

Estimation of Supply Response of Livestock Products: The Case of Kajiado District

Manyeki¹,

George²,

Gerald³

2016

ECO

View full text Add to dashboard Cite

show abstract

“…Herd structure categorises livestock into different classes based on purpose and nature of production, specifically cows in milk, non-milk cows, bulls, heifers, calves and steers (Mwanyumba et al 2015). Using the herd structure averages from Nyariki et al (2009) in Maasai Mara and from Otte and Chilonda (2012) in the pastoral areas of Kenya, the herd structure for the pastoral households was as follows: cows in milk, 17%; non-milk cows, 23.7%; bulls, 5.5%; steers, 17.9%; and steers/heifers, 19.6%. These figures were used on pastoral herds in Table 1 to generate a pastoral cattle herd structure shown in Table 2.…”

Section: Traditional Pastoral Values Livestock Numbersmentioning

confidence: 99%

“…Offtake may be defined as the removal of live animals or their products from the herd to within the household mainly for consumption, or to outside destinations through gifts, and cultural and religious practices, or markets for sale (Nyariki 2009;King-Okumu et al 2016). The most important livestock-related offtake is the live form.…”

Section: Pastoral Herd Offtakementioning

confidence: 99%

“…The most important livestock-related offtake is the live form. Davis (2006) and Nyariki (2009) define livestock offtake as the percentage of the current year's herd that is removed through sales, deaths, gifts, home slaughter or theft from the total herd size kept in a year. The forms of livestockrelated offtake include live animals, milk, meat, hides, skins and manure.…”

Section: Pastoral Herd Offtakementioning

confidence: 99%

See 1 more Smart Citation

The value of pastoralism in Kenya: Application of total economic value approach

Nyariki

Amwata

2019

Pastoralism

View full text Add to dashboard Cite

The value of pastoralism practiced in Kenya is not well appreciated, even though it is said to be enormous. The available statistics tend to underestimate this value from the point of view of its contribution to the local and national economies, due to the inadequacy of data and application of inappropriate valuation methodologies. This study analysed the contribution of pastoralism to Kenya's national economy, using the total economic value (TEV) approach and by considering the traditional and non-traditional pastoral values. Secondary data were collected on livestock population, herd composition and structure, honey, beeswax, firewood, fishing and tourism. The findings of this study show that Kenya's pastoral sector has an economic worth of US$1.

show abstract

“…Furthermore, degradation reduces the productivity of land, the value of ecological services and the ability to properly sustain an economy. Commercial ranches and pastoral livestock production systems are among the principal economic activities in the semi-arid environments (Nyariki, 2009).…”

Section: Introductionmentioning

confidence: 99%

Determinants and rates of land degradation: Application of stationary time-series model to data from a semi-arid environment in Kenya

et al. 2018

View full text Add to dashboard Cite

The causes of land degradation in the African drylands have been shown to vary. Some researchers consider climate to be the major contributor to degradation, with anthropogenic factors playing a minor role. Others reverse the significance of these two factors. A third group attributes land degradation to climate and anthropogenic factors equally. This study was undertaken to establish the factors influencing land degradation in a semi-arid environment in southeastern Kenya and the rate of change in vegetation types for a period of 35 years (1973-2007). The reduction in grassland cover was used as an indicator of land degradation. Causes of land degradation were determined by a multiple regression analysis. A log-linear regression analysis was used to establish the rate of vegetation change. The multiple and log-linear regression analyses showed: (1) woody vegetation, livestock population and cultivated area to be the main contributors of reduction in grassland cover in the area, and (2) an increase in undesirable woody species, livestock population and cultivated area had a significant (P<0.05) negative effect on grassland vegetation. Increased human population, low amounts of rainfall and drought showed no significant negative effect on grassland vegetation cover. In conclusion, human and livestock population growth and increased agricultural land have contributed to intensive crop cultivation and overgrazing in the semi-arid lands. This overuse of the semi-arid rangelands has worsened the deterioration of the natural grassland vegetation.

show abstract

Price response of herd off-take under market liberalization in a developing cattle sector: panel analysis applied to Kenya's ranching

Cited by 7 publications

References 11 publications

Estimation of Supply Response of Livestock Products: The Case of Kajiado District

Estimation of Supply Response of Livestock Products: The Case of Kajiado District

The value of pastoralism in Kenya: Application of total economic value approach

Determinants and rates of land degradation: Application of stationary time-series model to data from a semi-arid environment in Kenya

Contact Info

Product

Resources

About