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Uses of game resources are under constant debate. One such debate focuses on hunting tourism and its contributions to rural economics. To prioritize future investment and inform policy decisions, it is necessary to identify the full economic consequences of the operation of hunting tourism companies in rural areas. However, the true economic significance of these typically small-scale companies is not apparent when examined on an industrial scale. These companies may nevertheless serve as a sustainable solution to local-scale rural challenges. In this article, the regional economic significance of hunting tourism is estimated for the East Lapland sub-region of northern Finland through the use of Computable General Equilibrium simulation models. Although these models are known to effectively evaluate short- and long-term regional economic effects of industries such as tourism, they have not previously been applied to evaluate hunting tourism. [ABSTRACT FROM PUBLISHER]

Copyright of Regional Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We evaluate the overall economic effects of decoupled agricultural payments in Finland. The EU Common Agricultural Policy reform implemented in 2006 means shifting farm subsidies from production output and capital to farmland. Since decoupling seems to be a prominent trend in agricultural policy, we also simulate a case in which some national subsidies are decoupled from production as well. The decoupled support is tied equally to the hectares of arable land owned by farmers, other entrepreneurs, white and blue collar workers, pensioners and other households. This study takes the ownership structure of farmland between these household groups explicitly into account. We evaluate the overall impact of these changes on agricultural production, income and the welfare of various households. The computable general equilibrium GemRur simulation model of Finland is our working tool. We find that decoupling farm payments from production, especially if extended to national subsidies, will increase agricultural and food prices and decrease agricultural and food production. The decoupling has the greatest impact on the income and welfare of farmers. The impacts on other households and sectors are clearly smaller but not negligible. [ABSTRACT FROM AUTHOR]

Copyright of Spatial Economic Analysis is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract The demand for and supply of forest biomass have both been increasing in recent years, which will set new requirements for forest management. Thus, new studies on regionally suitable forest management regimes to fulfill the needs of potential new investments and the impacts on wood supply potential on regional socio-economic welfare are called for. The aim of this study was to examine the impacts of intensive forest management due to increased demand for wood biomass, from the regional economy point of view. In particular, the impact of intensive forest management on 1) regional gross domestic product (GDP), 2) private consumption, and 3) employment were assessed. The study was carried out by using computable general equilibrium (CGE) modelling combined with the requisite statistics and simulation of regional forest potential in the future. The results showed that total regional forest biomass supply with more intensive forest management could be increased annually on average by 26% (1.7 Mm3) by 2030 compared to the business as usual (BAU) scenario. In this study, regional demand was increased by a hypothetical saw mill (0.5 Mm3) and biorefinery (0.7 Mm3). Total regional socio-economic benefits could be 2.8% (€150 M) for GDP, 1.5% (€49 M) for private consumption and 1.6% (780 person-years) for employment, larger by 2030 than in the BAU scenario including multiplier effects. The study demonstrated how much regional socio-economic welfare would increase if regional wood demand with new investments combined with more intensive forest management and wood supply had more attention paid to it. Highlights • The study was carried out by using computable general equilibrium (CGE) modelling combined with the requisite statistics and simulation of regional forest potential in the future. • The results showed that total regional forest biomass supply with more intensive forest management could be increased annually on average by 26% (1.7 Mm3) by 2030 compared to the business as usual (BAU) scenario. • Total regional socio-economic benefits could be 2.8% (€150 M) for GDP, 1.5% (€49 M) for private consumption and 1.6% (780 person-years) for employment, larger by 2030 than in the BAU scenario including multiplier effects. • The results of the study indicated that the positive changes in the regional economy can be achieved with regional demand investments supported by more intensive forest biomass utilization. [ABSTRACT FROM AUTHOR]