Economic analyses of transportation investments are a common component of transportation planning. The profile of economic analyses has continued to rise due to increasing budget constraints and increasing emphasis on infrastructure's role in spurring economic development. One tool that has been developed specifically for transportation economic impact evaluation is the Transportation Economic Development Impact System (TREDIS). Common inputs for TREDIS are changes in travel characteristics caused by network improvements. Another commonly used planning tool is a travel demand model. Since 2003, the Texas Department of Transportation (TXDOT) has worked on the development of the Statewide Analysis Model (SAM) which estimates travel characteristics for passenger and freight modes. Together, the models have the potential to improve project evaluation and to highlight the roles that certain projects have in creating economic development. The hypothesis explored for this study is that SAM and TREDIS can be feasibly used together to help TXDOT evaluate the economic impacts of investments in freight corridors and other transportation investments. This report begins with general discussions of transportation economic analyses and the two models used. Then, the current SAM is evaluated using TREDIS followed by a discussion of the results and ways that this type of integrated planning can be incorporated by agencies. Through this study, key results include: the process of incorporating results from the SAM for use in TREDIS is feasible, an overall benefit-cost ratio of 4 for the entire set of long range roadway projects included in the SAM and 8 for only the interstate projects included in the SAM, rail and other transportation analyses are feasible using SAM and TREDIS. / text

Fishing, hunting and wildlife-associated recreation expenditures have played an important role in the U.S. economy. The 2006 U.S. Fish and Wildlife Service survey reported 87.5 million people participated in wildlife-associated recreation activities, spending $122.4 billion on trips and equipment in U.S. Periodic assessment of economic impact of wildlife associated recreation provides a consistent perspective for forest and wildlife resource management. This research used input-output analysis to evaluate the economic impacts of wildlife associated recreation expenditures in the U.S. South. IMPLAN models were developed for each state to determine the direct, indirect and induced effects of these expenditures. The comparison revealed the differences in the individual states’ economies and levels of expenditures and illustrated the importance of understanding intra-regional variations in establishing wildlife programs and policies. Overall, this study shows that wildlife associated recreation expenditures had larger economic multiplier than of the other forest based industries in the U.S. South.

Second home ownership is a new and booming phenomenon in China. Although it has been widely discussed in newspaper, radio and other mass media, it has not raised much academic concern. This study is a preliminary research in this field. <br /><br /> In western counties, second home growth has caused a series of socio-economic impacts to the host community, including housing price inflation, displacement of local people, disruption of local service, etc. These effects identified by western literatures are examined in the context of Haikou, China. <br /><br /> Through applications of interview, on-site observation and secondary research, this study generally confirms the impacts addressed by other second home research. Similar to the western experience, the growth of second homes in Haikou has both positive and negative impacts. On the positive side, the increase of second home purchase contributes to the boom of property-related industry. On the negative side, it causes inflation pressure on housing price and affects the affordability of the housing for local people. The seasonality of second home occupation also leads to a "ghost communit" problem. However, as the development of second homes in Haikou is at an early stage, both their positive and negative impacts are not significant. Some effects such as the displacement of locals, the effects on local retail outlets and services are not detectable. Remarkably, this study addresses two problems that can only be found in China: "college entrance exam immigration" and "illegal sale of <em>hukou</em>". <br /><br /> Based on the major findings, policy recommendations for local government are provided. Implications for conducting research in China, and for future research opportunities are also suggested.

Second home ownership is a new and booming phenomenon in China. Although it has been widely discussed in newspaper, radio and other mass media, it has not raised much academic concern. This study is a preliminary research in this field. <br /><br /> In western counties, second home growth has caused a series of socio-economic impacts to the host community, including housing price inflation, displacement of local people, disruption of local service, etc. These effects identified by western literatures are examined in the context of Haikou, China. <br /><br /> Through applications of interview, on-site observation and secondary research, this study generally confirms the impacts addressed by other second home research. Similar to the western experience, the growth of second homes in Haikou has both positive and negative impacts. On the positive side, the increase of second home purchase contributes to the boom of property-related industry. On the negative side, it causes inflation pressure on housing price and affects the affordability of the housing for local people. The seasonality of second home occupation also leads to a "ghost communit" problem. However, as the development of second homes in Haikou is at an early stage, both their positive and negative impacts are not significant. Some effects such as the displacement of locals, the effects on local retail outlets and services are not detectable. Remarkably, this study addresses two problems that can only be found in China: "college entrance exam immigration" and "illegal sale of <em>hukou</em>". <br /><br /> Based on the major findings, policy recommendations for local government are provided. Implications for conducting research in China, and for future research opportunities are also suggested.

This thesis aimed to improve decision-maker access to economic information by testing a pricejusting methodology to annually update expenditure information for economic impacts analyses and by conducting a trends analysis of economic sector contributions to a regional economy. A secondary data analysis of historical angler survey data generated expenditure profiles adjusted over time using price indices. A replication survey was conducted to compare expenditures. Grouping anglers by trip type (one-day/multiple-day) resulted in expenditure profiles that were generally consistent over time as anglers spent approximately $75 and $130 on one-day and multiple-day trips, respectively. These expenditures resulted in total economic impacts of over $13 million. A series of automatic social accounting matrices (ASAM) were then employed to execute economic base analyses, quantifying the role of sectors in the regional economy. The tourism sector consistently contributed over 20% of gross employment and almost 10% of gross output over time.

The aim of the thesis is to investigate local impacts of large investments. This problem has been approached from three directions and, therefore, the study consists of three themes, namely: the changing spatial patterns of corporate activities, the short-term local economic impacts of invest­ments, and the long-term socio-economic impacts of investments on the local municipality. In order to put the impact studies of investments into a broader context the first theme provides an analysis of the macro-orientated processes that change the spatial pattern of a forest- based industry. The empirical investigation is based on a case-study of a major Swedish forest company (SCA — Svenska Cellulosa Aktiebolaget), analysing its development from the 1950s to the present (Paper I). The locational changes of production plants, sales units and headquarters have been mapped and, parallel to this study of the company's spatial evolution, the underlying corporate strategies are discussed. The second theme focuses on the short-term local economic impacts of investments which are carried out at production units. The empirical data has been collected from a major investment introducing a new technology (Light Weight Coated paper - LWC) at Ortviken, an SCA-owned paper mill in Sundsvall. The point of departure for the analysis is the identification of contracted suppliers and their location in order to obtain a picture of the investment's diffusion in the local economy. As the choice of supplier is an important part of the study, criteria on how suppliers are chosen have also been examined (Paper II). Moreover, by using results from a number of similar investment studies, an attempt is made to summarize general experiences within a tentative model for estimating the share of local purchase deriving from major investments: the Local or Non-Local (LNL) model (Paper III). The third theme of the thesis pinpoints long-term local impacts of large investments. The investment generates impacts not only concurrently with the implementation phase, but also during the operation period of the invested item. The investigation of long-term socio-economic impacts has been performed by two studies employing different methodological approaches. The first study (Paper IV) deals with ex ante local impacts of locating a nuclear waste repository in Storuman or Mala, two sparsely populated municipalities in northern Sweden. The model is a traditional macro- formulated cohort model which is combined with a 'basic/non-basic' assumption regarding the intcrdependency within the local trade and business. The second study (Paper V) refers once again to the forest-based industry by emphasising the long-term socio-economic impacts of the investment examined in Paper II. This paper employs a micro-analytical modelling approach, so that, the municipal population is represented individually within the model. A microsimulation model is elaborated in order to analyse the long-term (15 years) local population and labour market dynamics induced by the LWC-investment. Some major findings of the thesis are: * The share of local purchase is connected to the composition of the investment. Analyses have shown that the higher the technological demand and the more technically advanced the goods and services related to the investment, the smaller is the local share of the purchase. *  It has proved possible to trace chain effects on different local labour-markets induced by changes in production at a particular place of work. Through linkages between the partial labour markets the closure of a major place of work will not only affect the occupational groups to which laid-off employees belong, but also give rise to changes in unemployment levels in many other occupations. / digitalisering@umu

A expectativa de alterações climáticas é especialmente importante para o setor agropecuário, uma vez que se trata de atividade que possui dependência dos ciclos naturais. O objetivo desta tese é avaliar impactos econômicos de cenários de mudança climática para a agricultura brasileira. Efeitos sobre áreas aptas de oito culturas (feijão, milho, soja, algodão, arroz, cana de açúcar, mandioca e café) são avaliados através de um modelo de equilíbrio geral computável, o The Enormous Regional Model for Brazil - TERM-BR, e cenários disponibilizados pela Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA, baseados no Painel Intergovernamental para a Mudança Climática - IPCC. Dois cenários são simulados com horizontes distintos, um para 2020 desconsiderando mudanças sociais e econômicas (2020/A2) e outro para 2070 com adaptações sociais e econômicas, nas projeções do IPCC (2070/B2). Para 2020/A2 os efeitos negativos concentram-se nas regiões Nordeste, conseqüência do clima semi-árido e perfil produtivo da região, além dos estados de Mato Grosso e Mato Grosso do Sul, resultado de impactos sobre a área apta para o produto soja. Em oposição, neste cenário, a região Sudeste beneficia-se, pois o produto cana de açúcar observa aumentos de rendimento sob aquecimento climático brando. O resultado líquido aponta para uma pequena redução da atividade econômica (PIB), elevação de preços de gêneros alimentícios e deslocamentos regionais da mão de obra, do Nordeste e Centro Oeste para as demais regiões. Para o segundo cenário, 2070/B2, novamente o Nordeste e o Centro Oeste são as regiões mais afetadas. Porém, os ganhos para a atividade econômica da região Sudeste são menores, uma vez que o efeito benéfico sobre a cana de açúcar desaparece em cenários mais severos de mudança climática. Como conseqüência, há um declínio nacional da atividade econômica superior ao cenário anterior. Naquilo que diz respeito ao mercado de trabalho permanecem as tendências de migração da mão de obra das regiões Nordeste e Centro Oeste para as demais regiões. Contudo, esta migração concentrase, proporcionalmente, nos estratos mais qualificados do mercado de trabalho. A mudança climática, na ausência de medidas de adaptação e mitigação mais intensas pode representar um risco para regiões historicamente subdesenvolvidas ou de desenvolvimento recente. Em especial, demonstra-se que os impactos econômicos no território brasileiro são heterogêneos entre as grandes regiões e os estados que o compõem. / The outlook of climate change is especially important for the farming sector, an economic activity where connection with natural cycles is strong. The objective of this thesis is to calculate economic impacts in scenarios of climatic change for Brazilian agriculture. Effect on appropriate areas of eight harvests (beans, maize, soy, cotton, rice, sugar cane, cassava and coffee) are evaluated through a model of computable general balance, the TERM-BR, and scenes available from EMBRAPA, based on the IPCC. Two scenarios are simulated with divergent perspectives, one for 2020 disrespecting social and economic changes (2020/A2) and another one for 2070 with social and economic adaptations, in the projections of the IPCC (2070/B2). For 2020/A2 the negative effect are concentrated in the regions Northeast, consequence of the several dry climate and production profile of the region, beyond the states of Mato Grosso and South´s Mato Grosso, outcome of impacts on the appropriate region for the soy. In antagonism, in this simulation, the Southeastern region is benefited; therefore the product sugar cane registers increases of income under soft climatic change scenario. The net result points with respect to a small reduction of the economic activity (GDP), rise of prices of foodstuffs and regional migration of the labor force, from Northeast and Center West for the other regions. For as the scenario, 2070/B2, the Northeast and the Center West are the affected regions also. However, the positive results for the economic activity in the Southeastern region are lesser, outcome of the smaller beneficial shock on the sugar cane in more severe scenarios of climate change. In this sense it has a national decline of the economic activity to the previous simulation. In labor market remain the trends of migration of the labor force from Northeast and Center West regions for the other regions. Nevertheless, this migration is intense, proportionally, in most qualified persons of the labor market. The climate change, in the lack of measures of intense adaptation and mitigation can represent a risk for historically underdeveloped regions or regions of recent development. In special, shows that the economic impacts in the Brazilian territory are heterogeneous between the great regions and the states that compose it.

A expectativa de alterações climáticas é especialmente importante para o setor agropecuário, uma vez que se trata de atividade que possui dependência dos ciclos naturais. O objetivo desta tese é avaliar impactos econômicos de cenários de mudança climática para a agricultura brasileira. Efeitos sobre áreas aptas de oito culturas (feijão, milho, soja, algodão, arroz, cana de açúcar, mandioca e café) são avaliados através de um modelo de equilíbrio geral computável, o The Enormous Regional Model for Brazil - TERM-BR, e cenários disponibilizados pela Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA, baseados no Painel Intergovernamental para a Mudança Climática - IPCC. Dois cenários são simulados com horizontes distintos, um para 2020 desconsiderando mudanças sociais e econômicas (2020/A2) e outro para 2070 com adaptações sociais e econômicas, nas projeções do IPCC (2070/B2). Para 2020/A2 os efeitos negativos concentram-se nas regiões Nordeste, conseqüência do clima semi-árido e perfil produtivo da região, além dos estados de Mato Grosso e Mato Grosso do Sul, resultado de impactos sobre a área apta para o produto soja. Em oposição, neste cenário, a região Sudeste beneficia-se, pois o produto cana de açúcar observa aumentos de rendimento sob aquecimento climático brando. O resultado líquido aponta para uma pequena redução da atividade econômica (PIB), elevação de preços de gêneros alimentícios e deslocamentos regionais da mão de obra, do Nordeste e Centro Oeste para as demais regiões. Para o segundo cenário, 2070/B2, novamente o Nordeste e o Centro Oeste são as regiões mais afetadas. Porém, os ganhos para a atividade econômica da região Sudeste são menores, uma vez que o efeito benéfico sobre a cana de açúcar desaparece em cenários mais severos de mudança climática. Como conseqüência, há um declínio nacional da atividade econômica superior ao cenário anterior. Naquilo que diz respeito ao mercado de trabalho permanecem as tendências de migração da mão de obra das regiões Nordeste e Centro Oeste para as demais regiões. Contudo, esta migração concentrase, proporcionalmente, nos estratos mais qualificados do mercado de trabalho. A mudança climática, na ausência de medidas de adaptação e mitigação mais intensas pode representar um risco para regiões historicamente subdesenvolvidas ou de desenvolvimento recente. Em especial, demonstra-se que os impactos econômicos no território brasileiro são heterogêneos entre as grandes regiões e os estados que o compõem. / The outlook of climate change is especially important for the farming sector, an economic activity where connection with natural cycles is strong. The objective of this thesis is to calculate economic impacts in scenarios of climatic change for Brazilian agriculture. Effect on appropriate areas of eight harvests (beans, maize, soy, cotton, rice, sugar cane, cassava and coffee) are evaluated through a model of computable general balance, the TERM-BR, and scenes available from EMBRAPA, based on the IPCC. Two scenarios are simulated with divergent perspectives, one for 2020 disrespecting social and economic changes (2020/A2) and another one for 2070 with social and economic adaptations, in the projections of the IPCC (2070/B2). For 2020/A2 the negative effect are concentrated in the regions Northeast, consequence of the several dry climate and production profile of the region, beyond the states of Mato Grosso and South´s Mato Grosso, outcome of impacts on the appropriate region for the soy. In antagonism, in this simulation, the Southeastern region is benefited; therefore the product sugar cane registers increases of income under soft climatic change scenario. The net result points with respect to a small reduction of the economic activity (GDP), rise of prices of foodstuffs and regional migration of the labor force, from Northeast and Center West for the other regions. For as the scenario, 2070/B2, the Northeast and the Center West are the affected regions also. However, the positive results for the economic activity in the Southeastern region are lesser, outcome of the smaller beneficial shock on the sugar cane in more severe scenarios of climate change. In this sense it has a national decline of the economic activity to the previous simulation. In labor market remain the trends of migration of the labor force from Northeast and Center West regions for the other regions. Nevertheless, this migration is intense, proportionally, in most qualified persons of the labor market. The climate change, in the lack of measures of intense adaptation and mitigation can represent a risk for historically underdeveloped regions or regions of recent development. In special, shows that the economic impacts in the Brazilian territory are heterogeneous between the great regions and the states that compose it.

The Conservation Reserve Program (CRP) has become increasingly important in Texas due to the high level of program participation, particularly in the high plains of Texas. There is also a seemingly large amount of CRP contracts that will expire, particularly in the next five years. As these contracts expire, it becomes very important for landowners to evaluate fully the options that are available for future land use. This research focused primarily on the ten counties in Texas having the most acres of CRP enrollment, which include Gaines, Deaf Smith, Lamb, Hale, Floyd, Dallam, Hockley, Terry, Castro, and Swisher Counties. The primary objective was to provide landowners in these counties with a comprehensive list of options available after CRP contract expiration. The options were identified as re-enrollment in CRP, conversion back into crop production, lease land to a tenant as rangeland, or lease land to a tenant as cropland. Latin Hypercube simulation was used to generate a stochastic value for probable net returns per acre for the four options. The four options were then evaluated based on a variety of methods typically used to rank risky alternatives. The results indicate that CRP enrollment is the most preferred option for landowners. Dryland crop production, while it can return very high net returns per acre, also has the highest amount of risk involved. However, it is important to note that the best ranking method and decision are dependent on the specific decision maker and situation. The second objective of the research was to determine if there are measurable economic impacts to the agricultural services industry associated with CRP enrollment. OLS regression models were only run for five of the ten counties in the study area due to a lack of data reported by the Bureau of Economic Analysis. Of the five counties modeled, the Gaines, Dallam, and Hale County models indicated that CRP has played a significant role in the annual earnings of the agricultural services industry. The results suggest that there would be a benefit in conducting further research to examine the relationship between CRP enrollment and the agricultural services sector.

The South is one of the leading timber producing regions in the world. Monitoring economic contribution of the forest products industry in the South over time is thus crucial in addressing critical economic issues and in understanding important industry trends. This study reports the economic impacts for the four forest-based industry (forestry, lumber and wood products, paper and allied products, and wood furniture) for 13 southern states, individually as well as regionally, and compares to 2001, the last comprehensive study of the industry in the South. During the study period, the industry’s employment decreased by 33.35% and earnings in real terms decreased by 18.44%. However, value of shipments and manufacturing valueded for the industry in real terms increased by 59.21% and 68.22% respectively. Therefore, despite of disproportionate impacts of the current recession and decline in housing starts, the industry still is an important component of the South’s economy.