capacity

The emergence of new issues and complexity of them, involve formulating and implementing intelligent policies in government. Therefore, the concept of ”policy capacity” has been emerged in different dimensions of governance. Promoting the policy-making capacity of government, means the ability of government in identification of issues, formulating of high quality and convenience policies and coordinating of policymaking process. In this regards, This Research is going to design a model to explore the different elements of policymaking capacity in government. Therefore, drawing upon mixed method design, in the first step by using semi-structured interview, many data was collect and in a recursive way, the core categories of policymaking capacity extracted and named. According to model, the institutional factors, policy-making infrastructure, policymaking capability, and interaction with environment, recognized as a causal condition for policymaking capacity. In addition, in our grounded theory model, the category of good policymaking considered as a strategy for core category (policymaking capacity). In addition, the intervening variables and contextual conditions in implementing good policymaking strategy in government extracted and named. The categories of organizational and managerial capacity along with extra role capacity of policy maker constitute the intervening condition of government. Contextual conditions that influence in good policymaking strategy were named in five categories of international, social, political, economic, and technological conditions. Finally, the consequences of implementing good policy making in government were named in three categories of governmental consequence, national consequence and policy maker consequence. In the second phase of the research, all parts of the policy making capacity theory, using structural equation model were tested in AMOS graph 18. Research Results Show Significance of Measurement and Structural Models at the 0.95 Confidence Level .

Disaster Management and current approaches in this field in one hand only has focused to physical vulnerabilities and in the other hand has included consequential action to reduce vulnerability and improve physical preparation as well as resistance institutional insignificant during the disaster. Therefore, these approaches usually have ignored the capabilities and capacities of residents to reduce vulnerabilities and consequently losses and damage. While recent approaches have entered, the field of disaster management emphasized that at first vulnerability is beyond the physical vulnerabilities and second vulnerabilities have an inverse relationship with the resident’s capacity in the face of disaster. So, community-based disaster risk management need to recognize indicators of vulnerability and community capacity and its relationship is essential. Accordingly, in the first step, the indicators of community capacity and community vulnerability are provided and in the second step based on these indicators, community capacity and vulnerability have been assessed. The assessment of community characters is based on GIS capabilities, spatial analysis tools and SPSS and correlation regression is used for analyzing the relationship of the variables. The results and findings of this research indicate that the vulnerability of urban areas is not only influenced by physical factors, but also social and organizational factors like community organizing and community educating have affected strongly the vulnerability.