Questa tesi offre una descrizione dettagliata di come i modelli di equilibrio generale computazionale (CGE) ed i modelli di microsimulazione possano essere utilizzati congiuntamente, partendo dalla letteratura piú recente sull'argomento, e focalizzando l'attenzione in particolare sulla letteratura riguardante i paesi in via di sviluppo. La ragione principale per la quale questi modelli vengono utilizzati congiuntamente risiede nel fatto che il ricercatore vuole essere in grado di studiare contemporaneamente l'eterogeneità degli agenti economici e la complessità della distribuzione del reddito, ed allo stesso tempo di valutare gli effetti macroeconomici delle riforme. Nell'ultimo capitolo costruiamo un modello CGE-microsimulazione per l'economia del Nicaragua. Esso si rivela particolarmente adatto alla riforma di politica economica che vogliamo simulare: l'accordo di libero scambio commerciale tra i paesi dell'America Centrale e gli Stati Uniti è infatti una riforma di tipo macroeconomico, la quale potrebbe tuttavia avere effetti significativi sulla distribuzione del reddito. Con questo modello analizzeremo quindi gli effetti dell'accordo commerciale con gli Stati Uniti sulla distribuzione del reddito in Nicaragua. I risultati dell'analisi registrano soltanto piccole variazioni sia nelle principali variabili macroeconomiche che nella distribuzione del reddito e negli indici di povertà. / This thesis wants to give an assessment and a detailed description of how Computable General Equilibrium (CGE) and microsimulation models can be linked together, taking inspiration from the current literature, with a special focus concerning the literature on developing countries. The main reason why these models are linked together is that the modeller wants to be able to take into account full agents' heterogeneity and the complexity of income distribution, and at the same time to analyse the macroeconomic effects of the policy reforms. In the last chapter, we build a CGE-microsimulation model for the economy of Nicaragua. This model appears to be particularly suited to the policy reform we are willing to simulate with the model: the Free Trade Agreement of Central American countries with USA is mainly a macroeconomic reform, which on the other hand can have important effects on the distribution of income and on poverty. With such a model we will study the possible changes in the distribution of income in Nicaragua deriving from the Free Trade Agreement with USA. Our analysis finds only small changes both in the main macroeconomic variables and in the distribution of income and poverty indices.

This dissertation contains three essays on environmental economics and on credit market imperfections. The literature on carbon tax incidence generally finds that carbon taxes have a regressive impact on the distribution of income. The main reason for that finding stems from the fact that poor households spend a larger share of their total expenditure on energy products than the rich households do. This literature, however, has ignored the impact of carbon taxes on income stemming from changes in relative factor prices. Yet, changes in household welfare depend not only on variations in commodity prices, but also on changes in income. Chapter 1 provides a comprehensive analysis of the distributional impact of carbon taxes on inequality by considering both demand-side and supply-side channels. We use a multi-sector, multi-household general equilibrium model to analyze the distributional impact of carbon taxes on inequality. Using equivalent income as the household welfare metric, we apply the Shapley value and concentration index approaches to decomposing household inequality. Our simulation results suggest that carbon taxes exert a larger negative impact on the income of the rich than that of the poor, and are thereby progressive. On the other hand, when assessed from the use side alone (i.e., commodity prices alone), our results confirm previous findings, whereas carbon taxes are regressive. However, due to the stronger incidence of carbon taxes on inequality from the income side, our results suggest that the carbon tax tends to reduce inequality. These findings further suggest that the traditional approach of assessing the impact of carbon taxes on inequality through changes in commodity prices alone may be misleading. Chapter 2 investigates the economic impacts of creating an emissions bubble between Canada and the US in a context of subglobal participation in efforts to reduce pollution with market based-instruments. One of the advantages of an emissions bubble is that it can be beneficial to countries that differ in their production and consumption patterns. To address the competitiveness issue that arises from the free-rider problem in the area of climate-change mitigation, we consider the imposition of a border tax adjustment (BTA) - a commonly suggested solution in the literature. We develop a detailed multisector and multi-regional general equilibrium model to analyze the welfare, aggregate, sectoral and trade impacts of the formation of an emissions bubble between Canada and the US with and without BTA. Our simulation results suggest that, in the absence of BTA, the creation of the bubble would make both countries better off through a positive terms-of-trade effect, and more importantly, through a significant reduction in Canada’s marginal abatement cost. The benefits of these positive effects would spill over to the non-participating countries, leading them to increase their trade shares in non-emissions-intensive goods. Moreover, the simulation results also indicate that a unilateral implementation of a BTA by any one of the two countries is welfare deteriorating in the imposing country and welfare improving in the other. In contrast, a joint implementation of a BTA by the two countries would make Canada better off and the US worse off. Chapter 3 shows that learning by lending is a potential channel of understanding the business cycle fluctuation under an imperfect credit market. An endogenous link among the learning parameter, lending rates, and the size of investment makes it possible to generate an internal propagation even due to a temporary shock. The main finding of this chapter is the explanation of how ex post non-financial factors such as information losses by individual agents in a credit market may account for a persistence in real indicators such as capital stock and output.

This dissertation contains three essays on environmental economics and on credit market imperfections. The literature on carbon tax incidence generally finds that carbon taxes have a regressive impact on the distribution of income. The main reason for that finding stems from the fact that poor households spend a larger share of their total expenditure on energy products than the rich households do. This literature, however, has ignored the impact of carbon taxes on income stemming from changes in relative factor prices. Yet, changes in household welfare depend not only on variations in commodity prices, but also on changes in income. Chapter 1 provides a comprehensive analysis of the distributional impact of carbon taxes on inequality by considering both demand-side and supply-side channels. We use a multi-sector, multi-household general equilibrium model to analyze the distributional impact of carbon taxes on inequality. Using equivalent income as the household welfare metric, we apply the Shapley value and concentration index approaches to decomposing household inequality. Our simulation results suggest that carbon taxes exert a larger negative impact on the income of the rich than that of the poor, and are thereby progressive. On the other hand, when assessed from the use side alone (i.e., commodity prices alone), our results confirm previous findings, whereas carbon taxes are regressive. However, due to the stronger incidence of carbon taxes on inequality from the income side, our results suggest that the carbon tax tends to reduce inequality. These findings further suggest that the traditional approach of assessing the impact of carbon taxes on inequality through changes in commodity prices alone may be misleading. Chapter 2 investigates the economic impacts of creating an emissions bubble between Canada and the US in a context of subglobal participation in efforts to reduce pollution with market based-instruments. One of the advantages of an emissions bubble is that it can be beneficial to countries that differ in their production and consumption patterns. To address the competitiveness issue that arises from the free-rider problem in the area of climate-change mitigation, we consider the imposition of a border tax adjustment (BTA) - a commonly suggested solution in the literature. We develop a detailed multisector and multi-regional general equilibrium model to analyze the welfare, aggregate, sectoral and trade impacts of the formation of an emissions bubble between Canada and the US with and without BTA. Our simulation results suggest that, in the absence of BTA, the creation of the bubble would make both countries better off through a positive terms-of-trade effect, and more importantly, through a significant reduction in Canada’s marginal abatement cost. The benefits of these positive effects would spill over to the non-participating countries, leading them to increase their trade shares in non-emissions-intensive goods. Moreover, the simulation results also indicate that a unilateral implementation of a BTA by any one of the two countries is welfare deteriorating in the imposing country and welfare improving in the other. In contrast, a joint implementation of a BTA by the two countries would make Canada better off and the US worse off. Chapter 3 shows that learning by lending is a potential channel of understanding the business cycle fluctuation under an imperfect credit market. An endogenous link among the learning parameter, lending rates, and the size of investment makes it possible to generate an internal propagation even due to a temporary shock. The main finding of this chapter is the explanation of how ex post non-financial factors such as information losses by individual agents in a credit market may account for a persistence in real indicators such as capital stock and output.

At the beginning of the year 2014 carbon tax should be introduced in Czech Republic with the main focus on decreasing CO2 emission from firms not involved in EU ETS. Potential repercussions of this regulatory tool depend on multiple complex events occurring within the economy. In response a macroeconomic general equilibrium model with the base year of 2009 was created. This model is able to identify complex events within the economy and simulate initiation of the tax itself. As a result of this model there is a conclusion that not all sectors will decrease their demand for newly taxed fossil fuels and that an increase of consumption for relatively less taxed fuels for instance natural gas might be expected as a result of the tax initiation. Carbon tax will be according to the simulation results indirectly but significantly influencing the energy sector, which will in spite of the relative cut-price of input fuels respond with decrease in electricity production. Consequent higher electricity price will then cause additional costs for taxed sectors. Important conclusion is also the fact that rational behavior of economic agents could lead to a lower emission reduction than is currently being expected and even further increase in the tax rate beyond 15 EUR/tCO2 would probably not lead to a significant reduction of CO2 emissions.

Ethiopia is one of the most vulnerable countries to climate change. This is because its important economic sector, agriculture, is virtually rain-fed. The role of the sector in the current economic structure and the potency of the anticipated biophysical impacts of climate change necessitates proactive adaptation in agriculture. This, however, breeds questions of adaptation costs and adaptation finance. This study attempts to derive plausible range of planned adaptation costs in agriculture along with their economy-wide and regional effects in Ethiopia. It also assess the economy-wide and regional effects of the likely options available to a government of a least-developed country to finance adaptation in agriculture. The results show that planned public adaptation in agriculture puts pressure on government surplus, impedes on manufacturing and private services, and GDP of urbanized regions. As such, it may strain the current macroeconomic endeavors of the country which puts government driven structural transformation and reducing fiscal deficit relative to GDP at the center. Government of Ethiopia may reconcile this by laying out incentives to urban agriculture and private investment in agriculture. Besides, foreign support in the form of biotechnology transfer and debt-relief may help to control the side effects of grants on foreign exchange market and trade balance.

Thesis (PhD (Agric))--Stellenbosch University, 2013. / ENGLISH ABSTRACT: It is common practice in computable general equilibrium (CGE) models that the output composition of multi-product industries remains constant despite changes in relative prices of products. The results of any scenario will show that products produced by a single industry will still be produced in the same ratio to each other as reflected by the base data. The objective of the study was to develop a CGE model for South Africa in which this assumption of fixed composition of output can be selectively relaxed. In order to allow industries to adjust their output composition in response to changes in relative prices of products a Constant Elasticity of Transformation (CET) function and the related first order condition were incorporated into an existing CGE model. This alternative specification of an output transformation function in the model enables the modeller to allow selected multi-product industries to increase production of products that show greater price increases relative to other products. The first order condition of the CET function determines the optimal combination of products for each industry. With the inclusion of the CET function there is a trade-off between theoretical rigour of the model and realism of the results, therefore an assumption of input-output separability was introduced as a way of recognising that the inclusion of a CET function violates the assumption that prices in the same row of a social accounting matrix (SAM) are equivalent. The model was calibrated with a SAM for South Africa for 2007 that was developed for purposes of this study. Set controls were included in the model to generalise the model in order that it can be calibrated with data from other countries as well. The SAM for South Africa contains provincial level information in the accounts for agriculture, labour and households. The agricultural industries are defined by geographical area, hence these industries are particularly good examples of multi-product industries that respond to relative price changes when determining production levels of individual products. The adjusted CGE model was used to analyse four scenarios focusing on selected issues mentioned in the National Development Plan for South Africa released by the National Planning Commission in 2011. The scenarios relate to increases in fruit exports as a result of global positioning, technical efficiency improvements for the agricultural sector through continued research and development, factor productivity growth in government and selected services sectors resulting from fighting corruption and curbing strikes, and augmenting the supply of skilled labour through an improvement in the quality of education. The results of the adjusted model show the desired effect: producers produce relatively more of the products for which they can get a relatively higher price and vice versa. This holds true regardless of whether the level of industry output increases or decreases. The impact of the model adjustment and the effects of changes in the levels of elasticities and choice of variables to close the model were analysed as part of the sensitivity analyses. The impact of changes in the functional form, elasticities and model closures on results, are different for each scenario. / AFRIKAANSE OPSOMMING: Dit is erkende praktyk in berekenbare algemene ewewigsmodelle dat die verhoudings waarin produkte tot mekaar geproduseer word deur multi-produk industrieë konstant gehou word, ongeag veranderings in relatiewe pryse van produkte. Die resultate van enige senario sal dus aandui dat die produkte wat deur 'n enkele industrie geproduseer word steeds in dieselfde verhouding tot mekaar geproduseer sal word, soos weerspieël in die basis data. Die doel van die studie was om 'n berekenbare algemene ewewigsmodel vir Suid-Afrika te ontwikkel wat die aanname dat die samestelling van elke industrie se uitset onveranderbaar is, selektief kan verslap. Om toe te laat dat industrieë die samestelling van uitset kan aanpas namate die relatiewe pryse van produkte verander, is 'n Konstante Elastisiteit van Transformasie funksie en die gepaardgaande eerste orde voorwaarde in 'n bestaande berekenbare algemene ewewigsmodel ingesluit. Die eerste orde voorwaarde bepaal die optimale verhoudings waarin produkte geproduseer moet word. Met die insluiting van die Konstante Elastisiteit van Transformasie funksie word teoretiese korrektheid van die model ingeboet in ruil vir meer realistiese resultate, dus is die aanname van inset-uitset onafhanklikheid gemaak en daardeur word ook erken dat as gevolg van die insluiting van die Konstante Elastisiteit van Transformasie funksie word daar nie meer voldoen aan die aanname data alle pryse in dieselfde ry van die sosiale rekeninge matriks (SRM) aan mekaar gelyk is nie. Die model is gekalibreer met 'n SRM vir Suid-Afrika vir 2007 wat vir doeleindes van die studie ontwikkel is. Deur die insluiting van kontroles vir versamelings is die model veralgemeen sodat die model ook met data van ander lande gekalibreer kan word. Die SRM vir Suid-Afrika se rekeninge vir landbou, arbeid en huishoudings bevat inligting op provinsiale vlak. Die landbou industrieë is volgens geografiese gebiede afgebaken en is dus besonder goeie voorbeelde van multi-produk industrieë wat reageer op relatiewe prys veranderings wanneer die produksievlakke van afsonderlike produkte bepaal word. Die aangepaste algemene ewewigsmodel is gebruik om vier senarios te ondersoek wat fokus op geselekteerde onderwerpe vervat in die Nasionale Ontwikkelingsplan wat deur die Nasionale Beplanningskommissie van Suid Afrika in 2011 vrygestel is. Die senarios hou verband met 'n styging in vrugte uitvoere as gevolg van globale posisionering, tegniese produktiwiteitsverhogings vir die landbousektor deur volgehoue navorsing en ontwikkeling, verhoging in die produktiwiteit van produksiefaktore van die regering en geselekteerde dienste sektore deur die aanspreek van korrupsie en vermindering in stakings, en die toename in geskoolde arbeid deur 'n verbetering in die kwaliteit van onderwys. Resultate van die aangepaste model toon die gewenste uitwerking: produsente produseer relatief meer van die produkte waarvoor hulle 'n relatiewe hoër prys kan kry, en omgekeerd. Dit geld ongeag of daar 'n verhoging of 'n verlaging in die vlak van die industrie se uitset is. Die impak van die modelaanpassing, die effek van veranderings in die vlakke van elastisiteite en die keuse van veranderlikes om die model te sluit, is geanaliseer as deel van die sensitiwiteitsanalises. Die impak van veranderings in die funksionele vorm, elastisiteite en modelsluiting op resultate, is verskillend vir elke senario.

Since its inception in 1995, more than 200 disputes have been raised under the WTO Dispute Settlement Understanding (DSU). In spite of the obvious numerical success of the DS system of the WTO, in practice several shortcomings call for institutional and/or procedural change. This analysis deals with the economic aspects of the DS system. First, it turns out that the WTO DS system seems to be "biased". The larger and richer trading nations (USA, EU) are the main users of this system, either because of the larger involvement in world trade, or because the LDCs simply lack the legal resources. Second, in taking advantage of recent theoretical explanations of the WTO system in general (trade talks) and the DS system in particular (aberrations from WTO compliance can lead to trade wars) one can theoretically derive the relative robust result concerning the present practice of the WTO DS system: retaliation with tariffs is ineffective, distorts allocation and is difficult to control. This is also demonstrated in an CGE model analysis for the most popular disputes between the EU and the USA: the Hormones, the Bananas and the FSC cases. The major conclusion of our economic evaluation is that the DS system of retaliation should be changed towards a transfer-like retaliation system. (author's abstract) / Series: EI Working Papers / Europainstitut

Para atender os seus compromissos climáticos, o Brasil planeja elevar a participação das fontes renováveis, além da hidrelétrica, na oferta de eletricidade. Segundo o Plano Decenal de Expansão de Energia (PDE 2026), a expansão da capacidade instalada no período 2017-2026 será predominantemente com investimentos na geração à gás, eólica e solar. No entanto, as áreas disponíveis e aptas para tais projetos estão concentradas, em sua maioria, nas regiões com menor PIB per capita, a exemplo da Nordeste, de modo que a expansão da capacidade instalada pode ter implicações econômico-regionais, que podem ser intensificados a depender da configuração da matriz elétrica. Não obstante a importância da temática, ainda há uma evidente lacuna na literatura. Este trabalho, portanto, analisa essa questão com o objetivo de verificar quais os impactos econômicos e regionais dos investimentos em geração de energia elétrica, com base nos cenários de expansão delineados no PDE 2026. Para tanto, é utilizado o TERM-BR10, modelo de equilíbrio geral computável, regional (bottom-up), dinâmico-recursivo e para o qual foi desenvolvido um módulo específico para simulações com o setor elétrico em que são representados oito tipos de geração de eletricidade (eólica, solar, hidráulica, biomassa, térmicas à gás, carvão, diesel e óleo combustível e outras térmicas) e em que se permite a substituição entre os diferentes tipos de geração em nível regional. Para as simulações, assume-se como linha de base a expansão prevista no Caso 8 - Expansão Dirigida, do PDE 2026, por ser a que tem menos interferência de diretrizes políticas. Já as expansões previstas para o Caso 1 (cenário de referência), o Caso 4 (redução no custo de investimento na geração solar) e o Caso 5 (sem novas usinas hidrelétricas) foram adotadas como cenários alternativos. Os resultados obtidos evidenciam que, em relação a linha de base, um plano de expansão com maior inserção de geração solar (Caso 4) pode impactar elevação acumulada de 0,45% no PIB brasileiro e de até 2,15% em regiões específicas, sendo as áreas mais beneficiadas aquelas da região Nordeste do país. Também verifica-se que um cenário sem novas usinas hidrelétricas (UHE) não implica perdas ao Brasil em termos de PIB ou emprego, o que é particularmente relevante face as exigências ambientais cada vez mais rigorosas sob esse tipo de geração. Ademais, foi também observado que as diretrizes de política inseridas nos cenários alternativos do PDE têm benefícios distributivos, com impactos positivos maiores para as regiões mais pobres e famílias com renda mais baixa. / To comply with climate agreements, Brazil intends to raise the share of non-hydro renewables in electricity supply. According to the Brazilian Decennial Energy Plan (PDE 2026), the country will expand its installed capacity in the period 2017-2026 mostly by investments in gas, wind and solar sources. However, areas suitable for those projects are regionally concentrated and, in some cases, in the poorest regions such as the Northeast. Hence, the expansion of power supply also have economic and regional implications that could be enhanced according to the configuration of the electricity matrix. Despite that, there is still a gap in the literature regarding to this topic. We explore this analyzing the economic and regional impacts of the investments in electricity generation, under various policy scenarios provided by the PDE 2026. For that, we apply a regional recursive-dynamic CGE model for Brazil, TERM-BR10, specially enhanced to deal with electricity features. TERM-BR10 has eight electricity generation types (wind, solar, hydropower, biomass, gas, diesel and oil, coal and others) and allows substitution between them in a regional level. For simulation purposes, we assume the expansion of electricity matrix of Case 8 from PDE 2026 as our baseline. In fact, this expansion is the one with less policy interventions. As our policy scenarios we assume: Case 1 (reference scenario), Case 4 (scenario with reduction in cost of investment for solar) and Case 5 (no new hydro dams). Our results show that in comparison to the baseline a supply plan with more insertion of solar source, as Case 4, could increase the national GDP by 0.45% and by 2.15% in specific regions. In this case, the Northeast regions are the most benefited. The results also show that a scenario without new hydro dams does not imply in economic loss, in terms of national GDP or employment. This is quite relevant, specially when take into account that environmental concerns have been raising for hydro projects. Besides, we also came to the conclusion that policy guidelines have welfare and distributive benefits, with greater impact to poorest regions and low income households.

The objectives of the study are to assess the fiscal sustainability and development impacts of Ghana’s fiscal rule for allocating petroleum revenues to the annual budget against alternative fiscal rules - the permanent income and the bird-in-hand rules. Fiscal sustainability is measured by government long-term fiscal space in proportion to non-oil GDP, whilst development impacts are measured through a dynamic CGE model of Ghana. Generally, the study makes four important findings on how fiscal policy triggered by the inflow of new petroleum revenues could affect the long-term fiscal sustainability and growth of the economy. One, Ghana’s fiscal rule is neither fiscally sustainable nor provide higher impacts of petroleum revenues on economic development relative to the permanent income and the bird-in-hand rules. Two, fiscal sustainability does not necessarily lead to greater development outcomes. The bird-in-hand rule is the most fiscally sustainable, but the permanent income rule provides higher development outcomes and can move Ghana’s transformation towards a full middle income status. Three, institutional quality in a country could lead to efficiency gains in government spending. Four, efficiency in government spending could improve on development outcomes. Ghana could therefore benefit from its petroleum revenues by adopting the permanent income rule; and with temporary petroleum revenues, the focus of the country should be on current investment of petroleum revenues in building the country’s asset base to support short-term and long-term growth of the economy. However, this should be complemented with strengthening the quality of institutional arrangements to enhance efficiency in government spending.

Uganda faces considerable challenges in revamping economic growth performance, reducing the proportional of people living below the poverty line to below 20 percent, and attaining other Millennium Development Goals by the year 2015. These developments have prompted the government to prioritise poverty alleviation and the attainment of sustainable real GDP growth (i.e. at 7 percent per annum), among other policies. This dissertation argues that a proper identification of the critical sectors of growth with significant linkages to the rest of the economy can guide policy makers to affect the outcomes of external shocks (e.g. by redirecting resources to sectors with potential for higher output growth and welfare effects) .Using the 2002 Social Accounting Matrix (SAM) for Uganda, we investigate the properties of the multipliers that can be calculated from the SAM, in particular contrasting them with the simpler input-output multipliers. Using the SAM multipliers, the computed linkages suggest that Agriculture, Food Processing, and Other Services (Trade, and Health and Education) are the key sectors of Uganda’s economy. Similarly, Manufacturing, Construction, and Transport were found to be sectors with weak linkages to the rest of the economy. Moreover, the multiplier impact on output, employment, and household income distribution is higher with in agriculture relative to other sectors. Our multiplier results confirm the need for policy makers in Uganda to target agriculture-led growth if Uganda is to substantially raise economy wide growth, and to improve household incomes for significant poverty alleviation. Policies to boost the agriculture sector include: building and maintaining feeder roads, provision of farm inputs, training farmers on better methods of production and productivity, reviving cooperatives (i.e. to enable coordinated farming activities, storage, processing, and marketing of farmers produce, and easy access to credit from lending institutions). It should be noted that Agriculture in Uganda is characterised by low productivity resulting from the use of poor inputs, undeveloped value chains, and low public and private investment in the sector. Government should significantly invest in agro-processing industries to increase value addition and exports for higher incomes. Since such investments are costly, requiring significant capital investments which majority of poor farmers cannot afford, the government should promote public-private sector partnership. It should be noted that Uganda’s exports are dominated by unprocessed primary low products which fetch low earnings from world markets. Using a country specific CGE model and selected exogenous changes and policies, our findings suggest that an increase in the world price of exports and workers remittances, and a decrease in import tariffs are growth and welfare enhancing with the positive shock to world export prices producing the largest impact on real GDP, employment (largely, low skilled labour and in agriculture), factor and household incomes. The significant role of migrant remittances in growth and poverty alleviation (i.e. by increasing household incomes, and investment in agriculture, education, and real estate among others) is worth noting. These findings suggest that Ugandan authorities could encourage Ugandans living and working abroad to invest at home by introducing a diaspora bond and sharing information on investment opportunities to encourage increased inflow of workers remittances which would boost domestic investment. Where possible, surplus labour could be exported to other regions or countries and arrangements made to have workers remittances invested in Uganda. In all the policy experiments performed, we find that the welfare of households in the northern and eastern regions of the country is lower compared to that of households based in other regions. This suggests that the government needs to design and implement specific poverty alleviation programs in these regions. The relatively high poverty in northern and eastern regions is attributed to the 19 year civil conflict and the communal land ownership which limits agriculture production for food security and improved household incomes. The government could increase the provision of social and physical infrastructure and promote sustainable agriculture by opening up irrigation schemes, supplying farmers with drought resistant crops, restocking farms, and building and maintain valley dams, and implementing land reforms which promote agriculture. Given the importance of agriculture to Uganda’s growth and poverty alleviation prospects, we argue that the government should implement the recommendations of the Comprehensive African Agriculture Development Program (CAADP) and the Maputo Declaration which calls for the allocation of 10 percent of the national budget to agriculture. This allocation is necessary to achieve the target of agriculture sector growth by 6 percent which is required to reduce significantly the number of Ugandans living in extreme poverty and hunger. The budgetary allocation of 4 percent coupled with inadequate supervision, and corruption and misallocation of funds meant for agriculture development programs have contributed to persistent decline in in output and increase in rural and urban poverty. Our results suggest agriculture is associated with higher employment of low skilled labour which is the largest labour force in Uganda. According to the World Bank, employment is the surest way to poverty alleviation. Thus, Uganda should pursue an agriculture led growth strategy for poverty alleviation and sustained economic growth. However, to substantially increase household incomes and contribute to poverty alleviation, policy interventions in agriculture should focus on increasing value addition through food processing and exports. Further, interventions that empower women to own assets should be enforced by government. Women are the principal users of land, and they must have stronger rights over the resources they depend upon. Our simulations have demonstrated that employment and incomes of women increase from interventions that target the agriculture sector in Uganda. Women constitute over 90 percent of the total labour force employed in agriculture and earn less or none of farm incomes, and most of them operate under chronic poverty. To gain greater knowledge of and control over their environment and build more productive sustainable systems, the government could empower women with basic education and training, increase their access to new technologies and mobilise them to participate in rural saving banks and cooperatives to boost their earnings from agriculture. Our results suggest that Services (mainly education and health) are potential candidates for growth and poverty alleviation in Uganda because they generate significant employment. However, Uganda, Services employ high skilled labour and are urban based, implying they cannot absorb the dominant low skilled labour and the youth. According to the Uganda Bureau of Statistics, Uganda currently has about 34.5 million people of which about 65 percent are youth. About 83 percent of these youth (aged 18-30 years) have no formal employment. This calls for authorities in Uganda to reorient the current curriculum towards her development needs where the youth and graduates are trained to be job creators and not job seekers. Massive investment in vocation training where the youth are trained and equipped with skills to manage their own lives by engaging in small scale projects should be prioritised by the government. To overcome the high rate of youth and graduate unemployment in developing countries Uganda inclusive, the donor community in collaboration with African governments identified vocational training as a critical component in each country’s poverty reduction strategy.