محمد قاسمی

The purpose of this study is to provide a comprehensive model for the assignment of unfinished construction projects with their economicization approach. This research was conducted qualitatively with the data theory of the foundation. For this purpose, a researcher with 26 experts and specialists in the fields of Management and Planning Organization, the Majlis Research Center and the provincial civil affairs department coordination that purposive sampling (snowball) were interviewed. The text of the interviews was uploaded in MAXQDA10 software and then open coded using the software. After extracting the codes, the main categories were extracted using axial coding. Then, by discovering the relationship between the central categories, and then by performing selective coding and identifying the central category, the desired model based on data theory is presented as a paradigm. The results of data analysis in the form of a template are: Underlying conditions (classification of unfinished construction projects, their economization and assignment of unfinished construction projects), causal conditions (the first step is to control and limit the approval of new projects, the next step is to classify and present a schedule, economic For all incomplete development projects and transfers based on the existing legal instruments of transfers and participation), intervention conditions (lack of proper use of the capacities of existing laws and failure to specify the general policy law of the forty-fourth principle in the transfer of projects, lack of Effective entry of the Privatization Organization due to the difficulties of assigning development projects to companies, lack of accurate information on development projects of state-owned companies and provincial projects, between the systemic nature of the issue and the unclear method of pricing projects), strategies (codification of legal prerequisites, preparation of regulations and systems related to the transfer, preparation of a list of the most probable cases of transferable projects, coordination of responsible bodies due to the inter-institutional nature of the issue and determination of prices through auctions, negotiations, etc. Depending on the application of each method) and the outcome (creating sufficient motivation for managers, operators and current stakeholders of projects and projects by creating a method of returning the saved resources from investment with the participation of the private sector, aggregation and refinement A set of relevant and effective regulations and the availability of all laws and regulations governing private sector investment in development projects, the dissemination of information on all projects in the electronic system and public access to all investable applications as well as contract terms and all subsequent contract developments. The entire duration of the construction, operation or transfer, full transparency of the transfer process to reduce rent-seeking behaviors and pave the way for private sector activity).  

Standard political discourse is replete with ambiguity and vagueness. Politicians frequently use vague language to hide their inadequate knowledge, show their low interest in the issue, and/or evoke emotion. This study reports on a qualitative content analysis of vagueness in two Iranian presidents' political interviews within a pragmalinguistic and sociopolitical paradigm. The data consisted of nine question-answer exchanges extracted from seven internationally live broadcast interviews. A total of 57 instances of vague language use were analyzed in terms of 21 pragmalinguistic vagueness strategies. Implications are that vagueness in political discourse is motivated by a multiplicity of factors such as face management, sociopolitical and situational adaptation, conflict avoidance, and personal characteristics of the interviewers and the respondents. Vagueness was also found to be a sign of diplomatic prudence or wisdom.

Iran has experienced major structural and economic changes over the past four decades. In the major experimental literature, researchers believe that these changes have manifested themselves as changes in the dynamics of macroeconomic variables, so that a number of articles have focused on documenting these changes. Understanding what lies behind it and the consequences of these changes is clearly important for monetary policy. This study empirically examines how the behavior of monetary policy in Iran has changed in response to various structural shocks, which is done using the Markov switching model of dynamic random equilibrium. In this study, the Markov Stochastic Dynamic General Equilibrium Model (MS-DSGE) is estimated, which causes changes in the coefficients of the monetary policy law as well as shock fluctuations with Iranian data from 1350 to 1396. We find that regime change, both in monetary policy legislation and in shock fluctuations, is a fundamental adjustment in improving the fit of the model. Our results show that structural shock fluctuations have also changed over time. Hence, the highest instability impulse of real output is due to the monetary policy index impulse and the least impact is due to the imposition of financial liberalization. Among all the factors, the greatest impact is due to the impulse of revolution and war. The least impact belongs to the shock of oil revenues on the shocks of the monetary policy index with coefficient.