جستجوی مقالات مرتبط با کلیدواژه « meta analysis » در نشریات گروه « اقتصاد »

The remarkable progress of human societies in the current era in the scientific, industrial and economic fields and the irreplaceable role of financing activities in any progress and development have made the day-by-day development of accounting a basic need. It has been claimed for a long time that the accounting information contained in financial records is one of the most important sources of information for investors and other capital market participants. It is necessary that this information is relevant, reliable and transparent so that they can use it in making appropriate decisions. The experiences of other countries as well as numerous researches acknowledge that the use of international financial reporting standards improves the transparency of financial reporting. Considering the non-implementation of international financial reporting standards in Iran, despite the requirement from the stock exchange organization and the audit organization, this research conducted a meta-analysis on the obstacles to the implementation of international financial reporting standards, and the findings indicate that the lack of attention to environmental conditions and Economic, political consequences, cultural and social factors, laws and regulations, failure to protect the interests of all stakeholder groups, implementation cost, excessive use of fair value and strict IFRS regulations on information disclosure are the most important challenges and obstacles to the implementation of international financial reporting standards.

Regarding the important role of inflation in Iran's economy, the various studies using different methods and periods have been done on the factors affecting inflation. Due to the many studies on explaining the causes and roots of inflation in Iran's economy, the aim of the present article is concentrated on the meta-analysis of inflation studies and the measuring of effect size for all affecting factors. Based on the minimum number of study criteria in doing the meta-analysis, the effect size has been calculated by combining inflation with the explanatory variables, including liquidity growth, budget deficits, exchange rate and inflation expectations. The results reveal that the combination of estimated coefficients for all explanatory variables is statistically positive, significant and homogeneous, which are 0.805, 3.344, 5.36 and 0.585, respectively.

The process of urbanization in the world and the problems arising from it bring great challenges to cities, and the concept of a smart city has been created as a solution to the problems of cities. Smart cities are defined as cities that pay attention to human capital, social and communication infrastructure, will improve the economy and quality of life, wise management of natural resources and cooperative governance. Now, it should be noted that smart building should be on the agenda in cities and the construction of a new city should be combined with new ideas. Therefore, prioritizing criteria and indicators is of particular importance. The aim of the current research is to investigate the indicators affecting the smart city in Iran. The present study is a descriptive-analytical research in which the meta-analysis method was used. The statistical population of the research includes all the researches conducted in the field of smart city indicators that were published in Normagz, Jihad University, Humanities, Mogiran and Irandak databases from 1396 to 1400. In this research, the amount of cooperation and participation of researchers, statistical community, sampling method and time pattern of publication of articles and variables used and their effect size in smart city studies in Iran have been investigated. The results showed that the level of cooperation and teamwork of researchers in research is acceptable and most of the research was done in the period of 1399 to 1400. Also, most of these researches were in the field of specific fields. Finally, the results of the effect size showed that the smart economy has the largest effect size in the smart city, and smart people are the second most important variable in the smart city, on the other hand, smart government and smart environment are the next variables.

The present study aims to systematically review the effect of cryptocurrencies on stock market using meta-analysis. In this regard, the researcher evaluated the studies conducted during 2011-2020. The results of the present study, which were conducted using meta-analysis method and statistically combined the results of studies on the effect of cryptocurrencies on the stock market, indicated that the discovered effect size is significant for most studies. Since the measurement error of the homogeneity test is less than 0.05, the studies are homogeneous and confirm the fixed effects model. In addition, the effect size of the fixed effects model was evaluated based on Rosenthal table. The measurement error of the fixed effects model was less than 0.05, confirming the research hypothesis. Therefore, cryptocurrencies affect the stock market.

There have been studies to answer the question of how natural resources affect on economic growth. The answer to this question is very different, some show natural resources have no affect on economic growth, some show a negative impact (resource curse) and others show a positive effect. The purpose of this study is to provide a trendy outcome of the different results of these studies by using a Meta−analysis tool. The hypothesis of this study is that "based on the effect resulting from individual empirical studies, and given the transcription of publishing and heterogeneity, the hypothesis of the natural resource curse is rejected." To this end, we have examined studies by the end of August 2021 according to a specific framework. After studying abstracts, finally 87 single studies, which summarized 1172 regression had a explanatory variable indicating the natural resources, and the text was available, and the results of the regression of these articles carefully selected and addressed the results of these articles. The results of this study show that the natural resources generally have a small negative effect (−0.087) on economic growth. Therefore, the initial hypothesis of this study is rejected, and the size of the total effect shows the resource curse, although its intensity is low according to Cohen's criterion. The present study shows that research has changed the impact of natural resources on economic growth, such as the abundance and dependence of the economy on natural resources, institutional quality, investment, trade freedom, etc in their models.

The main issue of the present study is one of the most important steps in the development of the development plan, which is called the "Development Plan System". This Plan System refers to all organized processes and operations that include the steps of preparing, compiling, approving and communicating the program. Therefore, considering the importance of the subject, this study aims to define and explain the elements of the seventh development plan. Through a meta-analytical study of the Seventy Years of Development Planning studies, it tries to analyze the codes of previous development programs from a structural-content perspective and to discuss the concepts and propositions contained in them. The target population of this research is a collection of studies of seventy years of development planning and the extraction of propositions has been pursued to the point of theoretical saturation. After extracting the propositions, they have been analyzed by qualitative content analysis with an inductive approach. In fact, research data are divided into meaning units and then summarized by compression. Finally, the subclasses are extracted by inductive method and the main themes are abstracted from them. The analysis of the findings shows that the extracted themes can be classified into social-cultural, economic, environmental-planning, institutional-structural and systematic categories, which are important to consider in developing the seventh plan.  Also, by overlapping and using the common chapter of the extracted themes, eight orientations were obtained, which show the general direction of the seventh development plan. Finally, below each of the extracted orientations, their policies and requirements are presented in accordance with the research findings.

One of the most important issues for governments to maintain and improve their position in the regional and global economy is the state of economic growth; one of the important issues in this situation is to predict the rate of economic growth. Proper forecasting of economic growth has very important effects on government policy and economic planning, and can help policymakers decide on future decisions in addition to creating opportunities for development. This study predicts Iranchr('39')s economic growth rate using the Meta-analysis method and compares it with other methods. For this purpose, the results of ANFIS, ARIMA, Markov switching methods, future research and Gary Markov, ECM, fuzzy regression, accounting approach related to economic growth forecasting from 1383 to 1392 (except for forecasting values ​​with accounting approach that until 1395 Used). The fixed and random weights of each of the previous studies have been determined using fixed and random effects and have been used using the Meta-analysis method for forecasting. The results show that the accuracy of the Meta-analysis method is much higher than other methods and has the lowest difference with real data. Therefore, it is recommended to use the combined Meta method to increase the reliability coefficient of accurate forecasting.

Examining different perspectives on the impact of inflation on economic growth shows a lack of consensus on this issue. Understanding the exact relationship between inflation and economic growth requires experimental studies with a new method. Therefore, the main purpose of this article is to end this disagreement with the help of meta-analysis  

The meta-analysis method was used to investigate this issue for the first time. Meta-analysis is the use of specific statistical methods to summarize the results of independent studies to find the most accurate form of relationship between the variables under study. These statistical methods help to summarize different studies and summarize them objectively so that personal opinions do not have a significant impact on this process. In this meta-analysis, 29 studies that had the necessary conditions to perform meta-analysis were identified and their results were analyzed. The terms and criteria of the meta-analysis of this research are: research has been done for developing and less developed countries and Practical extraction have the effect size.  

During the research process on the effect of inflation on economic growth, among articles, dissertations, reports, etc., according to the set criteria, a total of 5 dissertations and 24 articles with matching topics or relatively high topic similarity and suitable for meta-analysis were selected. According to the funnel diagram, the effect size of the studies does not have a diffusion bias. Due to the dual-tidy arrangement method, the present study did not need another study to be completed. Therefore, the present model does not suffer from diffusion bias and does not need other studies to eliminate bias and create symmetry on both sides of the average effect size in the fan chart. the effect size of each study is measured according to the value of the correlation coefficient of the studies. In all studies except studies (4, 8, 15, 17) in the chart that have the size of non-significant effects, the rest of the studies have significant effect size. Also, to evaluate the significance of the overall effect size of the studies, two methods of fixed and random effect size have been used  

Also, the results of research on the effect of inflation on economic growth and the identification of those variables, hypotheses and models used in inflation and growth studies showed that the effect of independent variables such as: inflation (31.18%), investment (17.20%) and government spending (9.67%) had the greatest impact on growth. In the study of the studied hypotheses, it was found that among the 52 hypotheses examined, the hypothesis of the effect of inflation on economic growth (55.76%) had the highest repetition among the selected studies, followed by the hypotheses of the effect of government spending and inflation on economic growth (54.57). 11%) and the relationship between inflation and inflation uncertainty on economic growth (9.61%) had the highest percentage among the studies.

Choosing an education field is individually one of the most important decisions of life; and from the perspective of the educational system and the labor market is an important social-economic process. Due to the effects of this decision, research in domain of modeling, identifying the factors affecting the choice of field and determining the weight of various factors, determining the optimality of choices from the perspective of labor market needs and finally designing and evaluating methods to eliminate mismatch between the field of study and job is very important. But this field of research in Iran is very neglected and lags behind in terms of analytical framework and method. For this reason, the question that what modeling frameworks, research methods, and policies are in place to address the field-job mismatch was selected as the central issue of the research and based on this, previous studies were categorized and analyzed. In general, three macro approaches were identified in modeling the behavior of the field selection; Modeling approach, investing in human capital approach and the mismatch approach. An examination of empirical research based on all three approaches shows that there is always a serious divergence between the outcome of discipline choice behavior and labor market needs. According to the results of meta-analysis, this gap has existed seriously over time and between different countries, even developed countries. Therefore, based on global experiences, various political interventions have been categorized and suggested to solve this problem.

The Kuznets Environmental Curve (EKC) hypothesis shows that there is an inverse relationship between environmental pollution and per capita income. This study examines the impact of economic growth on environmental quality using meta-analysis in Iran and a number of selected countries. We have chosen and examined 13 research works with 84 regression models. The related data are analyzed using STATA and CMA softwares. The results show that the effect of economic growth on environmental quality is approximately 0.22, hence confirming the EKC hypothesis. In other words, by achieving higher levels of economic growth the quality of the environment would improve. The effect size of energy consumption and urbanization is 1.4 and 0.34, respectively. This result, according to Kuhn's interpretation, indicates the effect size at the upper and lower levels, respectively. Population, literacy rate, degree of trade openness and fixed foreign investment are also other variables affecting the quality of the environment.

The aim of the present study is using Meta-analysis for analyzing the results of studies about the relationship between organizational culture and job satisfaction. For this purpose, 14 done research (from 22 research) between the years of 1380-96 about the relationship between organizational culture and job satisfaction which have been published in scientific journals, were selected to assess. In the first step of the research assessment, assumptions of homogeneity and publication bias were examined: according to this, results indicate the heterogeneity of effect sizes and lack of publication bias of examined Studies. In the second step, Coefficient of effect size and moderating role of academic environment variable were evaluated by using the second version of the CMA software. The Obtained results showed that the effect size or impact of organizational culture on the job satisfaction is equivalent to 0/542. This coefficient is evaluated at upper level based on Cohen interpretation system. In terms of moderator variable in organizational environment, findings show that the effect size in the academic and non-academic environment is 0.587 and 0.491 respectively. It was found that organizational culture in the academic environments has a higher impact on job satisfaction than the non-academic environment does.

Even though Iran has a 65-year history of development planning, it is still considered a developing state with a huge amount of human, financial and natural resources, which have been consumed but produced less results. Therefore, it seems necessary to examine and analyze critically the dominant approach in the country’s planning regime and identify its weak and strong points. Although many studies have been undertaken to identify the weak and strong points of Iran’s planning system, more research is required. In this paper, Iran`s development plans are reviewed for almost six decades. Development plans are studied in terms of the most dominant theories of development, coverage, time horizon, spatial planning, geographical coverage and methods of preparation and implementation. Furthermore, this research investigates the practical problems of development planning. In this paper, the weak points are classified at three levels of pre-planning, planning and post-planning. This paper used Meta-Analysis Method (MAM) to combine the findings of other researches and tried to describe the weaknesses of Iran’s development plan regime clearly in a detailed and understandable manner. As a result, this paper introduces a comprehensive model that shows different aspects of Iranian development plans which could be for policy makers. Finally, different ways of addressing the weaknesses are presented and recommended.