Migration, Adaptation and Socio-cultural Change: The Case of the Thakalis in Pokhara

Occasional Papers in Sociology and Anthropology - Volume 1, 198

The Plight of the Tharu Kamaiyas in Nepal: A Review of the Social, Economic And Political Facets

Occasional Papers in Sociology and Anthropology - Volume 9, 200

THE PROSPECTS OF AGRICULTURAL ADAPTATION TO CLIMATE CHANGE: CLIMATE-TECHNOLOGY INTERACTION IN RICE -WHEAT CROPPING SYSTEM IN NEPAL

We use panel data from Nepal to examine the effect of climate in inducing technology to understand potential agricultural adaptation to climate change in rice and wheat crops. We find different degree of climate-technology interaction in the productivity of two crops.Crop Production/Industries,

Midline Household Survey Results: Vaishali, Bihar State, India

In 2011, CCAFS carried out baseline surveys (household survey, a village study and an organizational survey) in 21 research sites across 17 countries within its five focus regions, using standardized baseline tools in each site. Many years after the implementation of the baseline studies, CCAFS has conducted the midterm evaluation surveys, which are compared with the baseline findings to track the performance of Climate-Smart Village (CSV) sites and measure the impact on beneficiaries. With a few improvements, the same standardized tools were used again to carry out the midline evaluation and to ensure comparability with the data collected previously

Midline Household Survey Results: Karnal, Haryana State, India

In 2011, CCAFS carried out baseline surveys (household survey, a village study and an organizational survey) in 21 research sites across 17 countries within its five focus regions, using standardized baseline tools in each site. Many years after the implementation of the baseline studies, CCAFS has conducted the midterm evaluation surveys, which are compared with the baseline findings to track the performance of Climate-Smart Village (CSV) sites and measure the impact on beneficiaries. With a few improvements, the same standardized tools were used again to carry out the midline evaluation and to ensure comparability with the data collected previously

Mapping spatial tourism and hospitality employment clusters: An application of spatial autocorrelation

This article analyzes the characteristics and spatial clustering of tourism and hospitality employment clusters in Victoria, Australia. Using cluster theory as the theoretical base, three interrelated research questions are specifically addressed: What industries constitute the tourism and hospitality sector? What broader "groupings" does the sector exhibit? Are these tourism and hospitality industries clustered around strategic areas of economic and resource advantage? Using the Australian and New Zealand Standard Industrial Classification (at the four-digit level), industries explicitly related to tourism and hospitality were first identified and total numbers of individuals working within these industries were aggregated at a level of Statistical Local Area (similar to a suburb or a neighborhood). Results show that in 2006 employment in tourism and hospitality equate to 7.74% of total employment in Australia. "Cafés and restaurants" (22%) is the single largest tourism and hospitality-related employer, followed by "takeaway food services" (20%) and "accommodation" (16%). Using factor analysis, four broader functions were extracted to characterize the underlying structure and functional interdependency among tourism and hospitality industries. These functions include: tourism operational services, hospitality services, entertainment services, and infrastructure operational facilities services. Spatial autocorrelation measures have identified five established tourism and hospitality spatial clusters in Victoria, which we argue hold the potential to act as tourism growth foci to create business synergy and generate spill-over effects through regional collaboration, competition, and sharing of pooled resources between firm