Policymakers frequently voice concerns that carbon pricing could impair economic development in the short run, especially in low-income countries such as Uganda. Using a consumer demand system for energy and food items, we assess how households’ welfare, and demand for food and energy, would respond to a carbon price of USD40/tCO2. We find welfare losses of 0.2–12 per cent of household expenditure on food and fuel, due to the carbon price. Average demand for electricity and kerosene decline by 11 and 20 per cent respectively, while firewood demand rises by 10 per cent on average. We observe shifts within food consumption baskets, with declines in the demand for meat & fish, and vegetables, alongside an increase in cereal consumption. Household nutrition is adversely impacted, with declines in protein and micronutrient intake across the population. Complementary social protection policies such as cash transfers are therefore required to ease adverse effects on economic development in Uganda.

Reproductive externalities are important for fertility behavior in Kenya. We identify from anthropology structural forms of social interaction operating across individuals belonging to different ethnic and religious groups on the number of children ever born. We use the 1998 Demographic and Health Survey, combined with primary meteorological data on Kenya, and GMM methods, to show that social interaction effects by ethnicity are important over and above an individual's characteristics such as their religion to explain variations in fertility. Our findings have implications for policy debates in Kenya and in other developing countries about ethnic, religious, and other differences in fertility behavior.

In this paper, we use a computable general equilibrium model to simulate the effects of drought and a decrease in agricultural productivity caused by climate change in Guatemala. A reduction in agricultural productivity would mean a considerable drop in crop and livestock production, and the resulting higher prices and lower household income would mean a significant reduction in the consumption of agricultural goods and food. The most negative effects of a drought would be concentrated in agriculture, given its intensive use of water. Because agricultural production is essential to ensuring food availability, these results suggest that Guatemala needs a proper water-distribution regulatory framework.

This study reports the findings for an analysis using the computer program NAADSM (North American Animal Disease Spread Model) and a supply-driven social accounting matrix to examine the impact of a hypothetical foot-and-mouth disease (FMD) outbreak in a relatively isolated part of the United States, Utah, under various levels of livestock traceability. The analysis demonstrates that a significant regional economic impact in Utah would result from an FMD outbreak but that improved levels of traceability would be very important in helping to reduce the negative economic consequences of the outbreak.

The economic competitiveness of biobased industries is discussed by comparing the South relative to other regions of the United States and biomass as a feedstock source relative to fossil fuels such as coal and petroleum. An estimate of the biomass resource base is provided. Estimated changes in the agricultural sector over time resulting from the development of a large-scale biobased industry are reported, and a study on the potential to produce electricity from biomass compared with coal in the southern United States is reviewed. A biobased industry can increase net farm income and enhance economic development and job creation.

We use the underlying data of the IMPLAN Pro 3.0 regional economic simulation model to estimate the current economic contribution of Michigan's local food system and explore the chain of transactions giving rise to consumption of locally sourced goods from producer to processor to consumption. The proposed methodology includes both unprocessed and processed foods in the estimation of the local food system's economic value. The model also provides a replicable and consistent approach to estimating the value of local food systems within regional and state economies.

Contagious animal diseases like foot-and-mouth disease (FMD) are often referred to as economic diseases because of the magnitude of economic harm they can cause to producers and to local communities. This study demonstrates the local economic impact of a FMD outbreak in southwest Kansas. The expected economic impact of the disease hinges heavily on where the incidence of the disease occurs. Disease surveillance, management strategies, mitigation investment, and overall diligence clearly need to be much greater in concentrated cattle feeding and processing areas at large feeding operations in the region.

The Southeastern United States depends on coal to supply 60% of its electricity needs. The region leads in CO2 emissions and ranks second in emissions of SO2 and NO2. Compared with coal, biomass feedstocks have lower emission levels of sulfur or sulfur compounds and can potentially reduce nitrogen oxide emissions. This study examines the economic impacts of cofiring biomass feedstocks with coal in coal-fired plants under three emission credit and two cofiring level scenarios. Economic impacts are estimated for producing, collecting, and transporting feedstock; retrofitting coal-fired utilities for burning feedstock; operating cofired utilities; and coal displaced from burning the feedstock.

Between the 1970s and the 1990s, processed food exports switched from using more skilled labor per unit of output than imports to the opposite. Processed food trade also expanded during this period. More meat and poultry products in processed food trade could explain this switch in skill intensity. Growing meat trade paralleled an urban-to-rural shift in meat processing. Although this could have been a win-win situation for rural areas, many of the jobs related to expanded meat trade benefited commuter and migrant workers because late-1990s jobs slaughtering livestock and processing meat did not appeal to domestic rural workers.

There is comparatively little empirical evidence regarding the accuracy of regional housing sector forecasts. Much of the recent analysis conducted for this topic is developed for housing starts and indicates a relatively poor track record. This study examines residential real estate forecasts previously published for El Paso, TX using a structural econometric model. Model coverage is much broader than just starts. Similar to earlier studies, the previously published econometric predictions frequently do not fare very well against the selected random walk benchmarks utilized for the various series under consideration.

Farmers' markets presumably benefit local economies through enhanced retention of local dollars. Unlike other studies, the net impact of farmers' markets on the West Virginia economy is examined. Producer survey results are used in estimating annual direct sales ($1,725 million). Using an IMPLAN-based input-output model, gross impacts are 119 jobs (69 full-time equivalent jobs) and $2,389 million in output including $1.48 million in gross state product (GSP). When the effect of direct revenue losses are included (primarily for grocery stores), the impact is reduced to 82 jobs (43 full-time equivalent jobs), $1,075 million in output, and $0,653 million in GSP.

The economic impact of wildlife-associated recreation in the Southeast United States was evaluated using a general equilibrium model. Exogenous demand shocks to the regional economy were based on estimates of expenditures by wildlife recreationists on hunting, fishing, and wildlife watching activities. Counterfactual simulations were carried out, making alternative assumptions about labor and capital mobility and their supply. Without wildlife-associated recreation expenditures, regional employment would have been smaller by up to 783 thousand jobs, and value added would have been $22 to $48 billion less. These findings underscore the significance of regional factor market conditions in economic impact and general equilibrium analysis.

A survey of 1599 randomly selected Florida households was conducted in 2012 to evaluate the consumer characteristics and economic impacts of local food purchases through retail stores, restaurants, and direct-to-consumer market channels. The total annual value of local food purchases averaged $1114 per household and represented 20.1% of food purchased for at-home consumption. The total economic impacts of local food purchases in Florida were estimated at 183,625 jobs and $10.47 billion in value-added, including regional multiplier effects for agricultural production and wholesale and retail distribution. These values are significantly higher than found in previous studies in other states.

The aim of this paper is to measure the influence of the railroad in the urbanization of Spain between 1860 and 1910. Our sources are from quantitative information –censuses of population– and qualitative one –coastal condition, existence of mining industry or industry, administrative capital and date of the railway connection–. We have estimated a first model of data panel in differences. Based on this model we have employed different estimation techniques in order to address omitted variables and/or endogeneity of the train variable. Results from all estimations give us clear evidence of the positive influence of the railroad on the urban growth. In addition a quasi-experiment design reinforces this conclusion. In short, although moderate, our paper shows strong evidence of the influence of the railroad on Spanish urbanization. This conclusion is coherent with other research.

Land use changes and timberland use by ownership and forest type in Alabama and Georgia between 1972 and 2000 are analyzed using a modified multinomial logit approach. Low average land quality, federal cost-share incentives, and favorable returns to forestry relative to agriculture were the main factors associated with timberland increase. Higher forestry returns helped increase industrial timberland but not nonindustrial private forests. An increase in hardwood forests at the expense of softwood and mixed forests was driven by increasing hardwood returns. Increasing softwood returns and tree planting assistance programs alleviated declines in softwood forests. Because factors influencing timberland use changes differ by ownership and forest type, treating all timberland as one major category may lead to incorrect predictions.