Policy Evaluation

Inflation targeting framework has become a predominant monetary approach across the globe. Williams (2015) believes that in a very real sense, almost all economies are inflation targeters -either explicit or implicit- now.(1) Due to the increasing spread of this policy, it is necessary to consider the way it affects macroeconomic variables. using prevalent economic models for evaluating the effectiveness of inflation targeting causes bias selection which for solving this problem, it is proposed propensity score matching model. the goal of this paper is to evaluate the effect of the adoption of Inflation Targeting policy on indirect taxes and its components in two selected groups of oil exporter and oil importer countries during 1990-2016 by using propensity score matching model. our results have shown that inflation targeting adoption in average has a positive and significant effect on indirect tax revenues in oil importer countries group but its effect on indirect tax revenues in oil exporter countries is insignificant. JEL Classification: E5, H2, C21.

The aim of this study was to The Impact of Renewable Energy Development Policies on Macroeconomic Indicators in Iran in 2020 through the exploratory mixed exploration model research method. The statistical population in the qualitative sector was professors of higher education centers in the field of energy and economics, and senior, middle managers and senior experts of the country's electricity industry and in the quantitative sector the managers and deputies of Ministry of Energy, Companies of TAVANIR, Regional Electric Company of Tehran, Fars and Mazandaran and SATBA by 180 people. In qualitative part 20 experts were selected by snowball sampling method and in quantitative part 123 people were selected by relative class sampling method with Cochran's formula. Data were analyzed in qualitative part with Delphi technique and in quantitative part with 105-item questionnaire with SPSS and Smart PLS software. To determine the validity and reliability in the qualitative part, the necessary tests including acceptability and capability have been used and in a quantitative part, the validity of the questionnaires was confirmed in terms of form, content (CVR and CVI range for each item between 0.6 to 0.1 and 0.85 to 0.1, respectively) and structure. The reliability and combined reliability of the components were estimated and confirmed between 0.847 to 0.951 and 0.759 to 0.931, respectively. Findings showed that the model of the Impact of Renewable Energy Development Policies on Macroeconomic Indicators in Iran has nine dimensions (objective evaluation, legal framework, compliance, management requirements, policy environment management, process evaluation, policy evaluators, auditing and the characteristics of the optimal method of evaluation) and 25 components.

The purpose of this research is to design a model for evaluating the policies of proportionalization of administrative system formations in Iranian National Oil Company. In this regard, the research method was a combination of qualitative and quantitative methods and tools with an applied orientation along with survey strategy and inductive approach. The qualitative part of the research included a review of the records and background of the research and conducting library studies based on the content analysis and meta-composition methods and the Delphi technique, and in the quantitative part, several techniques and tools were used, including interpretive structural modeling and structural equations, factor analysis, pairwise comparison matrix, and questionnaire tools. By carrying out the qualitative stage and refining and screening and verifying the achievements in the quantitative stage, finally 89 indicators in the form of 11 dimensions and 35 components, under the four main concepts of "policy evaluation", "proportionalization", "administrative system formations" and "macro environment" were counted and classified. In the next step, by identifying the relationship and mutual effect of the identified factors, the evaluation model of the design policy and finally the validity and reliability of the model was put into the test and approved. The issue of the optimal size of the government and the public policies related to it has been discussed and debated among political and economic experts for about three decades in the documents of the government and the ruling space of the country with different expressions such as "downsizing", "privatization" and "rationalization". Following the studies conducted in this research, with the premise that on one hand, the correct and scientific evaluation of public policies has an undeniable role in the successful implementation of policies, and on the other hand, in our country, the issue of evaluating public policies has always been like a missing link in the space that governs this territory and better management of resources in Iranian National Oil Company.

It is of great importance to compare the old and the new Chinese Curriculum Standards for Physical Education and Health in Compulsory Education to observe what has changed and what has not for the better enforcement of the updated standards. This study combines text mining and content analysis to quantitatively evaluate the texts of the 2011 and the 2022 Curriculum Standards for Physical Education and Health in Compulsory Education by constructing a Policy Model Consistency Index. The results showed that the two editions had a high degree of consistency, which is in compliance with the standard design. However, structural imbalances were noticed in the effectiveness of the 2022 Edition, which needs reconsideration of the curriculum difficulty, enhancements in the curriculum implementation, and improvements in the effectiveness of curriculum objects. Suggestions are also provided to address these issues in the hope of shedding light on related areas for front-line educators.