THE CHANGING NATURE OF RURAL COMMUNITIES

Community/Rural/Urban Development,

EXOGENIZING AGRICULTURE IN AN INPUT-OUTPUT MODEL TO ESTIMATE RELATIVE IMPACTS OF DIFFERENT FARM TYPES

In this study, aggregate, provincial level impact for various farm types are estimated for Saskatchewan based on an input-output table constructed for the province. The input-output table is rectangular with the agriculture sector including 12 farm subsectors, treated exogenously. Results indicate that in 1978 agriculture contributed 13.8 percent of the provincial gross domestic product directly, and another 18.2 percent indirectly. Among the farm types, the grain farms generated the highest output multipliers while cow-calf, dairy and irrigation generated the lowest. The income and value added pseudo-multipliers were almost a complete reversal of the output multipliers. Although irrigation generated low pseudo-multipliers, the dairy and cow calf sectors generated higher pseudo-multipliers.Community/Rural/Urban Development,

VALUE-ADDED ACTIVITIES AS A RURAL DEVELOPMENT STRATEGY

Community/Rural/Urban Development,

Scale as a Transaction Cost Variable in the U.S. Biopower Industry

With increasing interest in renewable energy from agriculture, including biopower and cellulose ethanol, several aspects of the industry must be understood. Study of the organization of the biopower industry represents an under researched area and a new application of transaction cost theory to an emerging industry. Refinement of the theory can also result from challenging applications. This article provides an application of transaction cost economics to the existing United States biopower industry while challenging the empirical convention of excluding production cost variables from transaction cost analysis. Utilizing survey data from 53 biopower generators, scale is modeled as a transaction cost variable in explaining the choice of organizational from. Consistent with transaction cost theory, the probability of observing internal organization is found to be negatively correlated to scale. Given this evidence, this article reconsiders the impact of scale and transaction costs on the choice of organizational from.Resource /Energy Economics and Policy,

A MULTIVARIATE ANALYSIS OF FACTORS INFLUENCING FARM MACHINERY PURCHASE DECISIONS

This paper presents a model of the farm management process. The model suggests that certain socioeconomic characteristics of farm managers will influence their decision-making process. Several characteristics are hypothesized an tested using multivariate techniques (multivariate analysis of variance, range tests, and multiple comparisons). The analysis indicates that the soil zone, value of machinery inventory, operator's age, and operator's education influence the importance placed on each of 20 factors. On the basis of the analysis it was concluded that such a model of the farm management process can contribute to an understanding of farm management decisions. In addition, it was concluded that farm managers, farm machinery dealers, and extension agents had significantly different perceptions of the importance of these factors to farm managers. This latter conclusion suggests that more research related to the actual process of decision making is warranted.Farm Management,

THEORETICAL AND POLICY BACKGROUND TO THE TOP-MARD PROJECT (TOWARDS A POLICY MODEL OF MULTIFUNCTIONAL AGRICULTURE AND RURAL DEVELOPMENT)

The TOP-MARD project is a 3-year, 11 country, project supported by the EU’s Framework 6 Programme for Research and Technology Development1. The aim of the research project was to build a policy model of multifunctional agriculture and rural development which would link the multiple functions of agriculture with the development and quality of life of rural regions, and explore the influence of different policies on rural development outcomes. In order to deal with both market and non-market outputs, and to explore dynamics over time, a systems modelling approach was adopted.Agricultural and Food Policy, Community/Rural/Urban Development, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods,

COMMUNITY PREFERENCES FOR TYPES OF BUSINESSES: A CASE STUDY OF THREE COUNTIES

Community/Rural/Urban Development,

Rural Land-Use Trends in the Conterminous United States, 1950-2000.

In order to understand the magnitude, direction, and geographic distribution of land-use changes, we evaluated land-use trends in U.S. counties during the latter half of the 20th century. Our paper synthesizes the dominant spatial and temporal trends in population, agriculture, and urbanized land uses, using a variety of data sources and an ecoregion classification as a frame of reference. A combination of increasing attractiveness of nonmetropolitan areas in the period 1970–2000, decreasing household size, and decreasing density of settlement has resulted in important trends in the patterns of developed land. By 2000, the area of low-density, exurban development beyond the urban fringe occupied nearly 15 times the area of higher density urbanized development. Efficiency gains, mechanization, and agglomeration of agricultural concerns has resulted in data that show cropland area to be stable throughout the Corn Belt and parts of the West between 1950 and 2000, but decreasing by about 22% east of the Mississippi River. We use a regional case study of the Mid-Atlantic and Southeastern regions to focus in more detail on the land-cover changes resulting from these dynamics. Dominating were land-cover changes associated with the timber practices in the forested plains ecoregions and urbanization in the piedmont ecoregions. Appalachian ecoregions show the slowest rates of landcover change. The dominant trends of tremendous exurban growth, throughout the United States, and conversion and abandonment of agricultural lands, especially in the eastern United States, have important implications because they affect large areas of the country, the functioning of ecological systems, and the potential for restoratio

High-efficiency degenerate four wave-mixing in triply resonant nanobeam cavities

We demonstrate high-efficiency, degenerate four-wave mixing in triply resonant Kerr $\chi^(3)$ photonic crystal (PhC) nanobeam cavities. Using a combination of temporal coupled mode theory and nonlinear finite-difference time-domain (FDTD) simulations, we study the nonlinear dynamics of resonant four-wave mixing processes and demonstrate the possibility of observing high-efficiency limit cycles and steady-state conversion corresponding to $\approx 100$% depletion of the pump light at low powers, even including effects due to losses, self- and cross-phase modulation, and imperfect frequency matching. Assuming operation in the telecom range, we predict close to perfect quantum efficiencies at reasonably low $\sim$ 50 mW input powers in silicon micrometer-scale cavities