The Future of Smallholder Farming in Eastern Africa - Uganda ...

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Institutional and Policy factors - Extension services - Credit facilities - Land tenure regime - Rural infrastructure - Market access cost Household characteristics - Farm experience - Family size - Gender - C-W ratio - Level of education Asset endowments - Land size - Land per capita Social capital - Structural - Cognitive Perception of soil erosion problem Terrace investments Area based factors - Farming system - Local institutions - Urban employment Farm characteristics - Slope - Erosion status - Field-homestead distance - Orientation Productivity/ production level Figure 1. Soil conservation model: The framework The factors in the conservation decision model may affect smallholders’ terrace investment directly through the perception of soil erosion. Therefore, the process of terrace investments can be captured in two stages. In the first stage, the household appreciates the level of soil degradation, and therefore there is a perception of the soil erosion problem. This process will depend on national institutions that bear on policy and institutional factors, individual household characteristics, farm characteristics, area-based factors, and social capital stock. This process is latent and cannot be observed. In the second stage, we observe the terracing activity, which depends on the level of perception, national institutional and policy factors, household characteristics, farm characteristics, area or location-based factors, and probably the level of social capital of the household. Various factors are assumed to influence the level of perception in the first stage, which can be captured in a perception model. These factors include social capital (structural and cognitive), household-specific characteristics (education, farming experience, family size, gender, land size, livestock, land per capita, wealth status and household income), farmrelated characteristics (slope, erosion status, homestead to field distance, and farming orientation), area-based factors (farming systems, local institutions and urban employment
linkages) and macro-level institutional and policy factors (extension services, credit facilities, land tenure regime, and physical infrastructure endowments). Social capital implies the social resources upon which people draw in the pursuit of their livelihood objectives. By improving the efficiency of economic relations, social capital can help increase peoples’ incomes (World Bank 1994) in addition to facilitating continued agricultural yield increases (Uphoff and Wijayaratna 2000; Admassie, Mwarasombo, and Mbogo 1998; Uphoff, Esman, and Krishna 1998). In its two dimensions, social capital will facilitate access to information by reducing the cost through sharing in groups or networks and, thus, the internalization of the soil erosion problem. Social capital may facilitate reciprocal insurance arrangements, thereby decreasing household or individual risk, or it may be used to facilitate access to credit or information (Fafchamps and Minten 1999; Gabre- Madhin 2001), thus addressing market failure that is caused by asymmetric information (Arrow 1999). Consequently, we postulate that a high level of social capital is reflected in a corresponding high level of perception of the soil erosion problem, especially in areas where this problem can be observed. Furthermore, we expect that availability and access to extension services will increase the level of awareness of soil erosion if a policy exists that is geared toward arresting the problem in soil erosion-prone areas, in which case the perception of individual households will be high, with the corresponding consequence of increased terracing investments. Moreover, we expect households who frequently interact with extension staff to be more cognizant of the problem. It is known that investments in long-term soil conservation measures require tenure security. Katz (2000) argues that social capital can overcome the disincentives for natural resource management brought about by informal or poorly defined property rights—titling reduces defensive land clearing and provides greater incentives for demographic stability, particularly in agricultural frontier areas. It is therefore likely that secure tenure rights would improve perceptions of soil erosion as a problem. The link between access to credit and heightened perception is not clear, since there is no theoretical basis. However, it has been shown that when institutional credit markets are highly imperfect, inherited endowments (including land and the embedded soil erosion status) become central in the ability to acquire productive assets (Pender and Walker 1989. An increase in farming is expected to raise perceptions of the soil erosion problem and its associated economic impacts (Shiferaw and Holden 1998; Ruthernberg 1980; Templeton and Scherr 1997). Diversification out of agriculture is likely to reduce pressure on land or to decrease the dependency of a household on farming as a primary income source. Therefore, increased off-farm orientation is expected to lower perceptions of soil erosion as a problem. Family size will impact on the land-man ratio—its effect, from the Boserupian perspective (Boserup 1965), would be to increase the impetus to invest in land quality. Thus, one may argue that the decrease in soil erosion following autonomous investments will reduce the threat and its perception. Once their perceptions have been internalized, the farmers are likely to move into the second stage, which involves a response to the perceived problem. There are two possible responses: either the farm household invests in terraces, or it does nothing about the problem. The two outcomes are observable. We postulate that this outcome will be a function of perception, institutional and policy factors, household characteristics, the stock of social capital that a household possesses, farm characteristics, and area- or location-specific factors. Recognition of the problem is essential for soil conservation investments (Templeton and Scherr 1997; Tiffen, Mortimore, and Gichuki 1994); consequently, perception will be strongly linked to the level of terrace investments. An increase in the consumer-worker ratio, however, reduces the ability of households to meet their subsistence needs, especially where
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Part One - Agricultural Productivit
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I. Introduction Agricultural Produc
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came about from expansion of cultiv
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study, therefore, limited itself to
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Land allocation and yields of 12 cr
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Table 6: Key economic variables for
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local seed in absolute terms and th
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Table 11: Crosscutting priority con
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Table 13: General constraints to ma
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These results clearly demonstrate t
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Table 18: Crosscutting constraints
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V. Policy Implications The findings
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References Appleton, Simon (2001).
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1.0 BACKGROUND 1.1 Introduction Low
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egins with a summary of the literat
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Source: National Wetlands Conservat
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shillings (§37-38). Every landowne
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Similarly, Howard (1995) used socia
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Uganda may well have more than a qu
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factors that explain household leve
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of inputs 18 , pests and diseases,
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(PMA p. 27). It also requires impro
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agriculturalists, who still do not
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to have covered 30,000 ha. During t
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4.0 RESEARCH METHODOLOGY The breadt
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• What is the current extent of w
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Figure 2. Changes in Sources of Com
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Figure 5. Proportion of Households
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estimates are remarkably consistent
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FSI - Percentage by District Distri
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was corrected using the White-Huber
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utilization for the household. Howe
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The nature of the structures to con
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impact of irrigation on horticultur
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growing population. Wetland protect
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APPENDICES Appendix 1. The Wetlands
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Appendix 2. THE 5V’s PRIORITY CLA
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Appendix 5. Determinants of Product
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Estimated covariances = 79 Number o
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International Food Policy Research
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Scherr, Sara J., 1999b. Poverty-env
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Land Tenure, Agricultural Productiv
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1.3 Statement of the problem Land s
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In order to achieve these objective
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densely populated Nyeri and Kakameg
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Figure 3: Conceptual Model Type of
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Figure 4: Location of the Study Dis
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By 2001, land demarcation and regis
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3.4 Survey Design The survey was un
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3.5.3 Model of Environmental Degrad
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questionnaire (Figure 8). Prominent
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Figure 10: Availability of hired la
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Figure 13 shows the level of cultiv
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joint significance test on the 4 dr
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Table 8: Regression Results on Maiz
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was classified into three categorie
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Table 9: Tobit Analysis with Enviro
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5.0 CONCLUSIONS AND POLICY IMPLICAT
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5.5 Access to Market A number of fa
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FAO (2003b). “Women and Food Secu
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Omiti John and Paul Obunde (2002).
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Annex 1: Pearson Correlation Coeffi
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SEXHH SEXLUSER TSECUR VEGCP1 CHILDE
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Part two - Agricultural Markets
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Market Liberalisation and Agricultu
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farms show annual fluctuations, wit
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Figure 2: Recent trends in domestic
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5. The Model The interest of this s
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sources for each sector. α IM ji a
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Savings Households’ savings are a
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The value-added price is defined th
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Specifically, the Government polici
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Table 5: Calculated Tariff Rates (%
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disincentive to farmers. Inability
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competitiveness. The second one is
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Table 7: Wage Rates and Labour Inco
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Similar simulation is undertaken in
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References Block, S. and C.P. Timme
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Tyler, G. J. and Akinboade, O. 1992
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(A.10) ai ∑ P ϖ P i=1,...,3; j =
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(A.32) price (A.33) P Q = P ( 1+ td
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Table A.2: Variables of KEGEM Varia
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VA A i Efficiency parameter in valu
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CHAPTER FIVE Post-Liberalization Ma
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As alluded to earlier, initial agri
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directly to dairy farmers as animal
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to engage in this new role, the gov
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2.0 RESEARCH METHODOLOGY 2.1 Overal
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markets with minor gaps in data ser
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Price-series correlations are conve
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Migori Awendo Postliberalization 1,
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model depends on whether or not the
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Table 6b--Unit root tests for price
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Table 8a--Unit root tests for OLS r
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3.3 The Role of Infrastructure and
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Table 13--Reported distances from t
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Table 15--Reported maize storage pr
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Table 17--Traders’ perception of
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3.3.6.2 Awareness of the Liberaliza
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Retailer (open-air market) 21 13 7
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3.4 Maize Marketing Costs Traders w
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3.4.4 License and Market Fees Accor
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5.Develop farmers’ and traders’
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Coulter, J., and J. A. F. Compton.
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Meilink, A. H. 1987. Food consumpti
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Figure 1 Maize surplus and deficit
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Figure 3 Trends in Maize Prices 199
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Price per 90kg bag (Kshs) Mbeere Di
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Figure 4 Modes of transporting maiz
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Figure 6: Limitations to storage ca
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Figure 8: Problems experienced in a
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CHAPTER SIX Grain Marketing in Addi
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A third, related explanation argues
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educed marketing costs related to p
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1.4. Research questions This study
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1.6. Organization of the report Thi
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the cases, respectively (Table 2.4)
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Brokers believe that most regional
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There is also a close relationship
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Table 2.14: Buyers’ methods for i
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Source: Survey, 2002. Table 2.18: D
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Table 2.22: Method used to grade di
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Table 2.25: Access to credit broker
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It has been reported that grain pur
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3. GRAIN RETAILERS Retailers serve
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Like brokers, retailers use cash or
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Table 3.11: Buyers’ information a
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Table 3.14: Retailers’ views of g
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Getting reliable price information
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Table 4.4: How do you set a sales p
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Table 4.7: Means of settling disput
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a.m. The survey included wholesale
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Table 5.3: Instability index of dai
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Table 5.7: Seasonality index of who
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Figure 5.3: Ratio of wholesale to r
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Table 5.8: Results of stationary te
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Table 5.10: Summary of Granger caus
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holiday sales. The results of the r
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Table 6.1: Storage capacity of the
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Intermarket grain flow is coordinat
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• a legal, regulatory, and enforc
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REFERENCES Al-Hassen, R., A. Dorwar
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Seppala, P. 1998. Decisive liberali
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achieve some welfare objective. The
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Annex Table 2.10: Have you faced di
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Annex Table 2.21: Do you consider p
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Annex Table 3.3: Cost structure of
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Annex Table 4.2: Complementary acti
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CHAPTER SEVEN Post-Harvest Grain Ma
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only (see Abebe 2000: 80-83). That
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of processing as an important post-
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occur at all stages of post-harvest
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Endowment & access to Resources (e.
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Figure 2: The Study Areas (shaded a
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(6) β i = β 0 λ i , 0
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Intercrop differences Liquidity con
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eplace old animals (19 percent of h
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Table 5. Number and capacity of gra
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Table 7b.Estimated grain loss durin
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7.1.3. Grain Marketing Practices an
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1.8 Producers' price 1.6 1.4 1.2 1
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next season, grain prices tend to b
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Table 13: Regression results (Tobit
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of grain production was reportedly
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instruments to mitigate price risks
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Coulter, J. and G. Onumah, (2002).
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Appendix: Supplementary Tables Appe
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CHAPTER EIGHT Collective Action in
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The objectives of DRS were to popul
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increasing participation. Thus, the
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Table 2. Perceived change in benefi
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unsatisfactory (Table 8). Flaws in
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Table 14. Measures of wealth status
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Results from Regression Analysis Ta
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However, to maintain these benefits
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Table 18. Determinants of participa
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_______ 1981. Common property and c
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Management Regulations and Enforcem
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In theory, under PFM, the governmen
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3.2 Desk study The desk study invol
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Table 1: Number and gender of indiv
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Poverty Increase in number of fishe
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Table 5: Responses given by various
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wages after the catch is sold (see
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70 60 No of respondents 50 40 30 20
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4.2.3 Lack of attention to social i
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5.3 Regulate the construction of re
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REFERENCES Allison, E. H., and P. M
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APPENDIXES Appendix A: Districts of
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Questions and responses Government
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Questions and responses Lack of coo
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CHAPTER TEN Animal Health Service D
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• Individuals are selected for tr
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Makueni district was selected becau
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1.5 Justification of the study The
Page 392 and 393: more sustainable (Leonard 1993; Uma
Page 394 and 395: of defined roles for CBAHWs within
Page 396 and 397: Interviews with veterinary officers
Page 398 and 399: The estimated model was of the form
Page 400 and 401: Gender remains a sensitive issue. P
Page 402 and 403: The most common ailments and diseas
Page 404 and 405: 4.3 Factors influencing the level o
Page 406 and 407: Table 9 -- Factors influencing the
Page 408 and 409: Table 10 - Factors determining the
Page 410 and 411: Table 12 -- Current mean numbers of
Page 412 and 413: Figure 4: Percentage of household h
Page 414 and 415: CBAHWs were the most utilized chann
Page 416 and 417: Users of veterinarians’ services
Page 418 and 419: Table 18 -- Levels of incomes and l
Page 420 and 421: higher average calving per cow, whi
Page 422 and 423: Table 21 -- CBAHWs’ ranking of sp
Page 424 and 425: epresentative of livestock keepers
Page 426 and 427: Despite the restriction imposed by
Page 428 and 429: veterinarians. Such associations co
Page 430 and 431: References Akabwai, D., V. Shean, a
Page 432 and 433: Johnson, P. J., and C. Chahuares. 1
Page 434 and 435: Appendix 1: The Logistic Procedure
Page 436 and 437: Social Capital and Sustainable Agri
Page 438 and 439: 1.1 Soil conservation programs and
Page 440 and 441: 1.3 Research Objectives and Hypothe
Page 444 and 445: land pressure is high (Holden 1991)
Page 446 and 447: include density of membership in gr
Page 448 and 449: then summed up according to increas
Page 450 and 451: Social capital, resource use, and a
Page 452 and 453: Table 4.4 Farmers’ perception of
Page 454 and 455: Table 4.5: Empowerment and politica
Page 456 and 457: Table 4.8: Indicators of collective
Page 458 and 459: Table 4.10: Comparison of means of
Page 460 and 461: 5. The influence of social capital
Page 462 and 463: especially when considered on an ad
Page 464 and 465: households may pay less attention t
Page 466 and 467: Table 5.3 Determinants of terracing
Page 468 and 469: and Gichuki 1994). In the 1940s, th
Page 470 and 471: Table 5.4. Determinants of soil con
Page 472 and 473: 5.3. Social capital, resource use,
Page 474 and 475: 6. Implications for policy and prog
Page 476 and 477: essential for the formation of exte
Page 478 and 479: BIBLIOGRPAHY Admassie, Y., L. I. Mw
Page 480 and 481: Gambetta, D. 1988. Can we trust tru
Page 482 and 483: Social capital and watershed develo
Page 484 and 485: Obare, G. A., S. W. Omamo, and J. C
Page 486 and 487: Washington D.C.: The World Bank Tem
Page 488 and 489: Appendix: A list of Contributors Ab
Page 490 and 491: Appendix: Projects Supported Under
Page 492:
IFPRI Eastern Africa Food Policy Ne
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