The paper attempts to explore the factors affecting the farm mechanization in Nepal, where agriculture is the primary livelihood of most people and the mechanization is crucial for efficient production and productivity. The government has also introduced a separate policy for agriculture mechanization in 2014. A primary data was collected from 300 households and analysed to assess and quantify the determinants of the farm mechanization. A descriptive analysis was carried out for understanding the data and the results were interpreted. Similarly, the multiple regression was executed to assess the factors affecting total investment in the farm machinery. The five different models were specified and compared for the better results. Moreover, to have deeper insight, the farm machinery was categorized into light machinery, heavy machinery and animal power. The results showed that light machinery is an essential part of Nepali farming system. Likewise, the presence of animal power, income per capita, per capita farm area, adaptation due to change in temperature, Household size, Farm area and income are significant determinants for total investment in farm mechanization.

This study assessed farmers’ perception of climate change, and estimated the determinants of, and evaluated the relationship among, adaptation practices using the multivariate probit model. A survey in 300 agricultural households was carried out covering 10 sample districts considering five agro-ecological zones and a vulnerability index. Four adaptation choices (change in planting date, crop variety, crop type and investment in irrigation) were deemed as outcome variables and socioeconomic, demographic, institutional, farm-level and perceptions variables were deployed as explanatory variables. Their marginal effects were determined for three climatic variables—temperature, precipitation and drought. Age, gender and education of head of household, credit access, farm area, rain-fed farming and tenure, were found to be more influential compared to other factors. All four adaptation options were found to be complimentary to each other. Importantly, the intensity of the impact of dependent variables in different models, and for the available adaptation options, were found to be unequal. Therefore, policy options and support facilities should be devised according to climatic variables and adaptation options to achieve superior results.

This study develops a regional econometric model to extend and complement input-output economic impact analysis. Following the tradition of "linking" econometric and input-output models, this work extends the previous linear econometric specification to a more accurate nonlinear form. It also extends previous specification of these models to address the issue of job creation and job capture by residents. The resulting empirical model is based on a cross-sectional econometric analysis of all Washington counties. The use of the estimated econometric model is illustrated with a real job growth scenario using the growth in jobs between 1990 and 1997 for each Washington county. The simultaneous equation model evaluated by examining how closely the estimated population variable tracks its actual values in 1997. The root mean square (RMS) percent error for population was 5.46 percent. Most of the new jobs are captured by immigrants instead of county residents. However, the positive long-run effect of job growth on labor force participation remains, though its effect is small.Rapidly changing technology, demographics, changing state and federal policy, and the forces of globalization increase the pressure on local policy makers for accurate information about regional economic behavior. They especially will need an adequate examination of the economy-wide consequences of a local economic shock. It is well understood that new business investment brings changes in population and migration of new residents, but estimates of the numerical relationship often are missing. As the need for timely information about the local economic

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This study provides the importance and value of selection and dissemination of Korean proven bulls by analyzing an economic impact. The results of economic impact analysis show that selection and dissemination of Korean proven bulls have a significant role in development of Korean bulls industry. The results of this study we found that the economic effect was 498.49billion won based on the condition of over grade 1. And the economic effect was 521.22 billion won based on the condition of over grade 2. It also insists that a continuous research and development of selection and dissemination of Korean proven bulls is needed for development of Korean bulls industry.