2 research outputs found
ENHANCING TOURISM REVENUE AND FOREIGN INVESTOR CONFIDENCE IN MONGOLIA: STRATEGIES AND DEVELOPMENTAL CONTRIBUTIONS
No full textThis paper aims to elucidate comprehensive strategies for Mongolia to amplify its tourism revenue and the research emphasizes understanding traveller perceptions through destination image analysis, including both cognitive and emotional aspects, to better meet international expectations, enhance satisfaction, and encourage repeat visits. Mongolia’s cultural treasures, including five UNESCO World Heritage Sites, its historical landmarks, and the appeal of its landscapes and nomadic culture, present significant development potential. However, unlocking this potential requires continued reforms and infrastructural investments to improve accessibility and service quality within the tourism industry. The resilience of domestic tourism, despite global setbacks, offers opportunities for broader recovery and growth. By utilizing targeted policies based on comprehensive data and strategic branding, Mongolia can position itself as a premier global tourism destination and create an attractive environment for foreign investment. These strategies aim to foster sustainable economic growth, promote cultural preservation, and strengthen Mongolia’s international tourism profile. Ultimately, this holistic approach will support the nation’s economic stability, diversification, and long-term development. By capitalizing on its unique assets and addressing current challenges, and the findings suggest Mongolia can unlock its full potential as a premier global tourism destination, concurrently fostering a robust and attractive environment for foreign investment. This comprehensive approach will not only enhance the visitor experience but also contribute to sustainable economic growth and cultural preservation, solidifying Mongolia\u27s position on the international stage
Satellite-based assessments on regional summer and winter conditions triggering massive livestock loss (Dzud) in Mongolia
No full textIncludes bibliographical references.Presented at the Building resilience of Mongolian rangelands: a trans-disciplinary research conference held on June 9-10, 2015 in Ulaanbaatar, Mongolia.Dzud is a term referring either to conditions when melting snow refreezes to form an icy layer covering the grass, or to unusually heavy snow falls in Eurasian arid and semi-arid regions. Under dzud condition, animals cannot obtain food under snow or ice layer, which sometimes results in a dzud disaster, i.e. massive livestock kills. It has been recognized that the dzud disaster is directly induced by the harsh winter conditions but often influenced by drought in the previous summer. In this study, a data-intensive reanalysis on regional determinants of dzud disaster was conducted for more than 300 soums (an administrative unit equivalent with county in US) in Mongolia. Various climatic, hydrological, and vegetation variables were developed from satellite remote sensing (RS) data, which includes daily mean air temperature, dew-point temperature, and evapotranspiration, monthly precipitation, and 16-day NDVI from 2003 to 2010. Annual livestock census data were collected for every soum in Mongolia. Each variable was standardized to z-score and utilized for stepwise multiple regression analysis to identify factors statistically significant for explaining soum-level livestock mortality. The regression models were successfully constructed for two-third of total soums. Considerable spatial variability in the determinants of livestock mortality were found across soums in Mongolia. As the primary determinants, summer NDVI and dryness equally explained 22% of the soum mortality, while 33% and 16% of the mortality were explained with winter temperature and precipitation, respectively. Spatial patterns were also identified with winter precipitation and temperature being primary determinants in mountain regions and northern cool and semi-arid regions, while summer NDVI and dryness were important in southern hot and arid regions. Our results indicate combined efforts of monitoring RS-based summer NDVI and dryness and forecasting winter temperature and precipitation can provide useful tools for dzud disaster early warning
