درخت حوزه‌های تخصصی

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 innovation ecosystem plays a valuable role in the development of innovation and entrepreneurship. The emergence of an innovation-based economy requires the development of an innovation ecosystem in the context of the region. In most countries, especially less developed countries, the ecosystem is not properly formed and the first step to its formation is the theoretical and experimental knowledge of this area. Therefore, this study aims to investigate the dimensions and components of the innovation ecosystem. We applied bibliometric method, citation analysis, applied evaluation techniques and content analysis of documents in this research. The purpose of this research is to review studies in this field and to present a conceptual and integrated model using content analysis of documents by organizing previous research. The statistical population of this research includes all the documents presented in the Web of Science database with 438 documents related to the innovation ecosystem until 2020 and has been evaluated and illustrated using VOS viewer software. Based on the content analysis of the documents, research on the "innovation ecosystem" is divided into five sections. The first part of the research is related to the structural factors. The second part is related to the type of the relationships and interactions, and the third part is related to the results. The fourth part is about the actors and the fifth part is about how they have performed. Finally, the conceptual framework of the research is presented based on the content analysis of the documents