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Economic impact of ethanol promotion under uncertainty in Mexico: a general equilibrium analysis Alejandra Elizondo, CIDE, +5255 57279800, [email protected] Roy Boyd, Ohio University, 740-593-2040, [email protected] Overview We analyze the economic impact of a decision to produce ethanol in Mexico, comparing the effect of a subsidy to initiate ethanol production with that of alternative public policies. Biofuels support has been a public policy goal since 2008, and the promotion of ethanol remains an active part of the government agenda. Little is known, however, about the impacts of ethanol promotion since it is not presently produced in Mexico and there is substantial uncertainty as to its cost as well as how capital and technology would adapt to its introduction. Before committing significant resources to ethanol development, Mexican policy makers need to address three fundamental questions. First, what would be the economic benefits and costs of such a policy? Second, how do these benefits and costs compare to alternative policies? And third, how sensitive are all of these results to assumptions about technology? In short, they must understand to what extent ethanol promotion can foster growth in the agriculture and manufacturing sectors, as well as in the economy as a whole, and the impact of this policy should be compared to that of alternative policies. This paper then evaluates the impact of an ethanol subsidy on GDP, sectoral production, consumption and social welfare, building and adapting a computable general equilibrium model (CGE) for Mexico. Additionally, in order to deal with the inherent uncertainty of an economy-wide approach, we conduct a rigorous sensitivity analysis of our model’s key parameters by conducting an exhaustive Monte Carlo analysis. Methods Our work follows the tradition of computable general equilibrium modeling and is largely based on earlier work by Ballard et al. (1985), and Shoven and Whalley (1984). The model is based on Rutherford’s work on nonlinear complementarity problems and utilizes the solution algorithm MPSGE (Rutherford, 1987, 1999; Böhringer, Rutherford and Wiegard, 2011) developed by Rutherford and integrated into the Generalized Algebraic Modeling System (GAMS). The model employed is based on Boyd and Ibarrarán’s model (Boyd and Ibarrarán, 2002, Ibarrarán and Boyd, 2008). In order to adequately simulate the ethanol promotion policy, we modify the social accounting matrix (SAM) to generate an activity on the supply side of the economy that becomes active when the subsidization policy is implemented. Our approach is to model ethanol production as a “latent technology”. This method closely mimics the situation in Mexico, where a technology is poised to produce but is not yet active in the base scenario due to the lack of sufficient profits. The model is national and includes consumers, producers, government and a foreign sector. In all the model contains 13 producing sectors and 4 consumer groups (or agents), clustered according to their income. It is calibrated to a 2010 social accounting matrix with data from national statistics and other national and international sources (Ministry of Finance, The Mexican Central Bank, World Bank, among others). Estimates on sugar cane ethanol costs are calculated from Brazilian sources based on their experience, and adapted to reflect the Mexican context. We compare the effects of a subsidy to foster ethanol production with the impact of alternative policies that focus on any of the objectives openly declared for this policy. The rest of the policies under evaluation are: renewables promotion for electricity generation, subsidies to car manufacturing leading to higher gasoline efficiency in cars, and subsidies for biofertilizers. In all of our simulations, key elasticities and technology parameters will be perturbed randomly and our model re-run using Monte Carlo methods to obtain a robust realistic range of results with respect to production and consumer welfare. Results According to our estimates, we can be reasonably confident (in spite of uncertainty) that subsidizing ethanol does not have a major impact on the aggregate economy, nor does it measurably enhance economic growth. It does, however, generate a limited increase in welfare for all agents, since they now receive a higher level of subsidies. Government welfare declines, however, since funds are now directed towards ethanol promotion. The government does not have new sources of income to compensate this loss, given that this activity (as noted) does not generate additional growth. Our results show that subsidies to ethanol would increase agriculture production but at the expense of aggregate welfare. By contrast, alternative “clean energy” policies appear to advance economic growth to a greater extent, and increase welfare on all agents, at least as much as the biofuel promotion does. Conclusions Three important issues stand out. First, viewed in terms of the aggregate economy, the benefits of a policy designed to promote the use of ethanol are rather small. Aggregate welfare would change very little under a wide range of model assumptions, while savings, GDP, and energy production would only be modestly impacted. Second, from a sectoral level, although there are winners and losers from ethanol promotion it is not clear what is ultimately achieved. Agricultural sectors benefit modestly but this is largely counterbalanced by decreases in other sectors (such as energy), and the welfare benefits to Mexico’s poorest households are small. Ethanol promotion has been touted as a means to diversify energy production, increase the income of the poorest agents and lower Mexico’s GHG emissions. However, the policy does not contribute to any of these goals in a significant way. Third, and most importantly, our analysis shows the drawbacks that often accompany policies with multiple objectives, and calls attention to the importance of stating a policy’s main objective. If the main objective of this policy is the promotion of cost effective agricultural production, then subsidies to bio-fertilizers would provide a better means of doing this. If on the other hand, the objective is to lower Mexico’s energy requirements then ethanol promotion is again a poor choice since lower gasoline content occurs simultaneously with higher overall fuel consumption. And even though our model shows that petroleum production diminishes, other goods heavily involved in ethanol manufacture increase their production, and this in turn, may result in even higher GHG emissions. In sum, the public promotion of ethanol cannot readily be justified in terms of social welfare, GDP or energy security. Particular sectors such as agriculture and manufacturing do benefit from this policy, but the subsidies required negatively affect both government revenue and the productivity of other sectors. References Ballard CL, Fullerton D, Shoven JB and Whalley J (1985) A General Equilibrium Model for Tax Policy Evaluation. Chicago: University of Chicago Press. Böhringer C, Rutherford TF and Wiegard W (2011) Computable General Equilibrium Analysis: Opening a Black Box. Discussion Paper 03-56, Center for European Economic Research, Germany. Boyd RG and Ibarrarán ME (2002) Cost of Compliance with the Kyoto Protocol: A Developing Country´s Perspective. Energy Economics 24: 21-39. Guilhoto JJM and Sesso Filho UA (2010) Estimação da Matriz Insumo-Produto Utilizando Dados Preliminares das Contas Nacionais: Aplicação e Análise de Indicadores Econômicos para o Brasil em 2005. Economia & Tecnologia UFPR/TECPAR 6 (23): Out./Dez. Guilhoto JJM and Sesso Filho UA (2005) Estimação da Matriz Insumo-Produto a Partir de Dados Preliminares das Contas Nacionais. Economia Aplicada 9 (2): 277-299. Ibarrarán, ME and Boyd RG (2006). Hacia el Futuro: Energy, Economics and the Environment in 21st Century Mexico. The Netherlands: Springer. Ibarrarán, ME and Boyd RG (2008) MEDEC policies under a general equilibrium approach. Working Paper, The World Bank, Washington DC. Ibarrarán, ME, Boyd R and Elizondo A (2015) Mexico: Reducing Energy Subsidies and Analyzing Alternative Compensation Mechanisms. Sobre México. Temas en Economía 1 (1): 26-45. Rutherford T (1987) A Modeling System for Applied General Equilibrium Analysis. Report, Cowles Foundation for Research in Economics, Yale University, Connecticut, May. Rutherford, TF (1999) Applied General Equilibrium Modeling with MPSGE as a GAMS Subsystem: An Overview of the Modeling Framework and Syntax. Computational Economics 14: 1-46. Shoven JB y Whalley J (1984) Applied General-Equilibrium Models of Taxation and International Trade: An Introduction and Survey, Journal of Economic Literature 23 (3): 1007-1051.