Model of Drought Prevention Driving in the Lower Northern Region
Abstract
The objectives of this research (1) were to study the level of drought protection in the lower northern region, (2) to study the factors affecting drought protection in the lower northern region, and (3). To establish and confirm the development of a drought prevention model in the lower northern region. This research uses Mixed Method, which is carried out in 3 phases as follows: Phase 1 is quantitative research to study the level of drought protection and factors affecting drought prevention in the lower northern region. The sample consisted of 400 people aged 18 years and over in the lower northern provinces, which were obtained by defining samples according to Taro Yamane's formula and using a simple proportional and random sampling method. The tool used to collect the data was a 5-level estimation scale questionnaire. Data were analyzed by descriptive statistics, Pearson's correlation coefficient analysis and causal correlation model were analyzed by the Mplus program. Phase 2 is to create a model for driving drought prevention in the lower northern region using qualitative research. Expert target groups include academics, government officials, and representatives of local stakeholders. A total of 20 people, by organizing a brainstorming meeting. Phase 3 confirms the model for driving drought prevention in the lower northern region by expert target groups. The research results found that (1) Overall drought prevention in the lower northern region is at a high level, sorted in descending order as follows: Investments to reduce risk, post-disaster recovery, strengthening risk management capacity, and understanding of disaster risks respectively. (2). Factors affecting drought prevention in the lower northern region, in descending order of overall influence coefficient, are results-oriented management, government promotion policies, administrative resources, communication. between organizations, innovation and information technology, public participation by all 6 factors. These factors could explain the 86.40 percent variation in drought protection in the lower northern region (R2 = 0.864) with a statistically significant level of 0.01. The correlation model of the drought prevention driving model in the lower northern region is consistent with the empirical data, χ2 test p-value = 0.560, χ2 / df = 0.686, GFI = 1.000, CFI = 1.000, RMSEA = 0.000, RMR = 0.002. (3) A model for driving drought prevention in the lower northern region of 6 development guidelines as follows: (1) development of achievement-based management, (2) development of promotional policies from the government, (3) the development of administrative resources, (4) the development of inter-organizational communication, (5) the development of innovation and information technology, and (6) the development of public participation.
