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<title>Master of Science in Development Economics</title>
<link href="http://dissertations.umu.ac.ug/xmlui/handle/123456789/53" rel="alternate"/>
<subtitle/>
<id>http://dissertations.umu.ac.ug/xmlui/handle/123456789/53</id>
<updated>2026-04-07T11:11:21Z</updated>
<dc:date>2026-04-07T11:11:21Z</dc:date>
<entry>
<title>Factors affecting performance of rural electrification programme in Uganda</title>
<link href="http://dissertations.umu.ac.ug/xmlui/handle/123456789/1711" rel="alternate"/>
<author>
<name>Niwagira, Andrew</name>
</author>
<id>http://dissertations.umu.ac.ug/xmlui/handle/123456789/1711</id>
<updated>2025-06-16T10:14:54Z</updated>
<published>2013-10-01T00:00:00Z</published>
<summary type="text">Factors affecting performance of rural electrification programme in Uganda
Niwagira, Andrew
The study was conducted to examine the factors affecting performance of rural electrification &#13;
programme in Uganda with Rukungiri district as a case study. The factors studied included &#13;
Rural housing characteristics, household size, Household income level, connection &#13;
costs/charges and price of electricity with the sole purpose of determining their impact on &#13;
performance of rural electrification programme. &#13;
A cross sectional research design was adapted whereby a total sample of 113 respondents &#13;
with electricity and 54 respondents were selected for quantitative data using systematic &#13;
random sampling and purposive sampling respectively. 29 key informants were also selected &#13;
for qualitative data using purposive sampling. The primary data was collected using &#13;
structured and semi-structured questionnaire and interview guides as well as secondary data &#13;
from reports. Data collected was analysed using Stata. &#13;
The study found out that performance of rural electrification programme was significantly &#13;
and negatively affected by household size (β2= -0.6339819; P=0.0000&lt;0.05) and connection &#13;
costs (β4= -0.2147675; P=0.037&lt;0.05); price of electricity also having a positive significant &#13;
impact (β5=0.6292673; P=0.0000&lt;0.05) while rural housing characteristics and household &#13;
income level had a positive insignificant impact on performance of rural electrification &#13;
programme with (β1=0.1121203; P=0.059&gt;0.05) and (β3=0.0616083; P=0.085&gt;0.05) &#13;
respectively. The model specified exhibits R2 = 0.6918 implying that factors under this study &#13;
explain up to 69.18% of the variations in performance of rural electrification programme &#13;
which reflects that the variables and data used were fit for this study. &#13;
The study recommends government to provide Incentives to recover the costs by permitting &#13;
projects below 3 MW to operate with minimal government regulation such that investors can &#13;
charge realistic tariffs that cover operating costs and yield a return on investment but &#13;
consistently conducting studies into the trends of household incomes and peoples’ perception &#13;
on the existing price levels to mitigate the risk of power companies misusing incentives to &#13;
charge exorbitant prices for abnormal profitability; Develop a mode of payment for electricity &#13;
connection where by households pay in installments or make the period of electricity &#13;
connection payment longer for example six months or even one year; Roll out the use of pre&#13;
paid meters and subsidize the price of these electricity meters by reducing taxes on &#13;
companies importing them to reduce upfront connection costs; Prioritise development &#13;
strategies that increase income generations among households and at the same time promote &#13;
rural electrification; population control measures like family planning, girl child education &#13;
and make use of population control policies
Twinomuhwezi Ivan
</summary>
<dc:date>2013-10-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Effects of public-private partnerships on performance of Universal Secondary Education programme in Uganda</title>
<link href="http://dissertations.umu.ac.ug/xmlui/handle/123456789/1664" rel="alternate"/>
<author>
<name>Vincent, Ssozi</name>
</author>
<id>http://dissertations.umu.ac.ug/xmlui/handle/123456789/1664</id>
<updated>2025-04-14T10:26:52Z</updated>
<published>2019-10-01T00:00:00Z</published>
<summary type="text">Effects of public-private partnerships on performance of Universal Secondary Education programme in Uganda
Vincent, Ssozi
The main objective of the study was to assess the effects of public private partnership on &#13;
performance of USE programme in Uganda. Specifically, capitation grants, school&#13;
ownership and school learning environment (teachers, facilities like number of &#13;
classrooms, laboratories and latrine stances) were the primary independent variables. The &#13;
two dependent variables were school enrolments and UCE performance index as &#13;
indicators of accessibility and quality for lower secondary education respectively. The &#13;
study mainly applied the Correlated Random Effects (CRE) model to a balanced panel &#13;
dataset of 400 schools (45.3% private schools and 54.7% government aided schools) from &#13;
MoES and UNEB for the years 2010, 2012, 2014 and 2016 representing a seven-year &#13;
period of USE implementation. In addition the Random Effects (RE) model was applied &#13;
to 181 ppp schools in analyzing their UCE performance index for the same period. The&#13;
study reveals that capitation grants (p=0.000), number of teachers (p=0.002) and &#13;
classrooms (p=0.003) have positive significant effects on ppp school enrolments. &#13;
Capitation grants however had less effect (p=0.007) on enrolment in ppp schools than in &#13;
government aided schools. In addition, a ppp school on average enrolled more students &#13;
(p=0.007) than government aided school implying that school ownership actually&#13;
influence access to education in USE programme. Concerning the quality of secondary &#13;
education, findings indicate that science teachers (p=0.019), school location (p=0.035) &#13;
and number of latrine stances (p=0.033) have a significant effect on UCE performance &#13;
index in ppp schools. Findings also show that government aided schools registered better &#13;
performance index (p=0.039) than ppp schools on account of better science laboratories. &#13;
The performance index declined over the years while at the same time rural schools &#13;
performed poorly compared to urban schools. &#13;
These findings point to the need for government to formulate a policy framework of &#13;
training, recruiting and sustaining science teachers in secondary schools irrespective of &#13;
school ownership. There is need to expand in-service training of science and mathematics &#13;
teachers while subsidizing through tax waivers, the supply of science kits, and laboratory &#13;
chemicals and equipment mainly in rural schools. In view of the recent policy reversal to &#13;
terminate the current PPP arrangement in USE programme, government needs to sustain &#13;
gains registered in accessibility by grant aiding deserving private schools in rural areas.
Balinda Richardson
</summary>
<dc:date>2019-10-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Factors affecting adoption of the village agent retail model among small holder farmers in Uganda: case study Lira district</title>
<link href="http://dissertations.umu.ac.ug/xmlui/handle/123456789/1538" rel="alternate"/>
<author>
<name>Oruka, Patrick</name>
</author>
<id>http://dissertations.umu.ac.ug/xmlui/handle/123456789/1538</id>
<updated>2025-04-03T13:41:36Z</updated>
<published>2013-10-01T00:00:00Z</published>
<summary type="text">Factors affecting adoption of the village agent retail model among small holder farmers in Uganda: case study Lira district
Oruka, Patrick
The study examined the factors that affected the adoption of the Village Agent Retail &#13;
Model in Uganda with Lira district as the case study. The study employed a cross &#13;
sectional survey design using both quantitative and qualitative research approaches. The &#13;
target population was the small holder farmers of Lira district, in 3 sub-counties, Ogur, &#13;
Amach and Aromo. Purposive sampling technique was applied and a self administered &#13;
questionnaire as the tool of data collection and an ANCOVA binary logistic model was &#13;
used. SPSS was used for data entry; STATA was used for bivariate analysis and &#13;
multivariate analysis. The findings indicated a statistically significant impact of farmer &#13;
group membership (odds ratio = 0.280779, p = 0.010), the impact of agricultural input &#13;
handouts was not significant (odds ratio = 0.83688, p = 0.822), the results also showed a &#13;
statistically significant impact of the distance from the farmer’s home and the stockist &#13;
(odds ratio = 0.4063188 p = 0.003) and the impact of farmer capital was found to be &#13;
statistically not significant (odds ratio = 1.02616, p = 0.694). The study concluded that &#13;
farmer group membership significantly influenced the adoption of the village agent retail &#13;
model; existence of projects providing agricultural input handouts no significant impact &#13;
on the adoption of the model; the distance from the farmer’s home to the stockist &#13;
significantly impacted the adoption of the model and farmer capital had no significant &#13;
impact on adoption of the village agent retail model. The recommendations involved &#13;
emphasis being put in promoting the village agent retail model amongst farming &#13;
communities that are formed into groups; implementation model should be in areas where &#13;
there is no presence of projects providing agricultural hand-outs and farming communities &#13;
that are far away from the stockist and there should be deliberate efforts that drive at &#13;
ensuring that farmers have capital.
Namanji Stella; Namanji Stella
</summary>
<dc:date>2013-10-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Factors affecting the adoption of the village agent retail model among smallholder farmers in Uganda; case study: Lira district</title>
<link href="http://dissertations.umu.ac.ug/xmlui/handle/123456789/1515" rel="alternate"/>
<author>
<name>Patrick, Oruka</name>
</author>
<id>http://dissertations.umu.ac.ug/xmlui/handle/123456789/1515</id>
<updated>2025-04-03T13:39:46Z</updated>
<published>2013-10-01T00:00:00Z</published>
<summary type="text">Factors affecting the adoption of the village agent retail model among smallholder farmers in Uganda; case study: Lira district
Patrick, Oruka
The study examined the factors that affected the adoption of the Village Agent Retail &#13;
Model in Uganda with Lira district as the case study. The study employed a cross &#13;
sectional survey design using both quantitative and qualitative research approaches. The &#13;
target population was the small holder farmers of Lira district, in 3 sub-counties, Ogur, &#13;
Amach and Aromo. Purposive sampling technique was applied and a self administered &#13;
questionnaire as the tool of data collection and an ANCOVA binary logistic model was &#13;
used. SPSS was used for data entry; STATA was used for bivariate analysis and &#13;
multivariate analysis. The findings indicated a statistically significant impact of farmer &#13;
group membership (odds ratio = 0.280779, p = 0.010), the impact of agricultural input &#13;
handouts was not significant (odds ratio = 0.83688, p = 0.822), the results also showed a &#13;
statistically significant impact of the distance from the farmer’s home and the stockist &#13;
(odds ratio = 0.4063188 p = 0.003) and the impact of farmer capital was found to be &#13;
statistically not significant (odds ratio = 1.02616, p = 0.694). The study concluded that &#13;
farmer group membership significantly influenced the adoption of the village agent retail &#13;
model; existence of projects providing agricultural input handouts no significant impact &#13;
on the adoption of the model; the distance from the farmer’s home to the stockist &#13;
significantly impacted the adoption of the model and farmer capital had no significant &#13;
impact on adoption of the village agent retail model. The recommendations involved &#13;
emphasis being put in promoting the village agent retail model amongst farming &#13;
communities that are formed into groups; implementation model should be in areas where &#13;
there is no presence of projects providing agricultural hand-outs and farming communities &#13;
that are far away from the stockist and there should be deliberate efforts that drive at &#13;
ensuring that farmers have capital.
Namanji Stella
</summary>
<dc:date>2013-10-01T00:00:00Z</dc:date>
</entry>
</feed>
