MODEL OF DROUGHT RISK REDUCTION IN LOWER NORTHERN AREA

Abstract

The objective of this research was to study the general condition of the factor as well as to establish and confirm a model for reducing drought risk in the lower Northern Region using mixed research methods. The quantitative research used questionnaires to collect data from 387 samples who were staff of local government organizations. and Department of Disaster Prevention and Mitigation officials (District/Province) in the lower Northern Provinces. The sample size was determined according to the Taro Yamane formula. The method used to analyze data were mean, percentage, standard deviation. Pearson's correlation coefficient analysis the causal relationship structure model was analyzed by Mplus Program and the model was confirmed by 20 experts. The median, mode, and interquartile ranges were analyzed. The qualitative research used a method of organizing a brainstorming meeting of 20 people.

          The results showed that the factors affecting the drought risk reduction were as follows: direct effects quantity 5 factors, sort the direct influence coefficients in descending namely: results-based management, communication between organizations, innovation and information technology, government promotion policies, people participation. Indirect effects quantify 3 factors, namely: administrative resources, results-based management, government promotion policies. Total effects quantify 6 factors namely: results-based management, government promotion policies, administrative resources, communication between organizations, innovation and information technology and people participation.