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EXTENDED ABSTRACTINTRODUCTION With the increase in population growth and the problems of the planet, researchers have paid more attention to the phenomenon and behavior of greenwashing. Greenwashing behavior is a situation according to which companies and businesses present unhealthy products and services as green and organic (Wang et al., 2019). This study generates new insights for emerging markets and provides potentially important information for academics and practitioners on greenwashing behavior. It can be shown that almost half of people's income is spent on buying food products (Mishra & Sharma, 2012), so the quality, safety and performance of such products have attracted the attention of customers, consumers and shareholders (Bhattacharya, al. , 2012).), in addition, environmental protection has faced problems in the country due to the limitations of greenwashing regulations and their unclear and imprecise implementation. In the field of food products, national regulations on organic and green labels have not been determined, so many companies and food industries can use greenwashing behavior well and show themselves to be environmentally friendly (Chen & Chang, 2012). With these explanations, it is possible that customers are skeptical about green claims and the purchase of green products in society will decrease, which in turn will have harm to people in terms of safety and health, and its consequences for the environment include It will be pollution and destruction of ecosystems (Hai et al., 2017). Due to having industrial companies, Khuzestan province is exposed to industrial and environmental pollution (Guo et al., 2014). In the past years, suggestions for minimizing the environmental effects of waste, access to green life, and maximizing the capacity of using green food industry products, which can reduce their potential effects by using the phenomenon of greenwashing, have not been presented by researchers. As a result, it is vital for consumers to review their product consumption practices and move from non-organic products to green products. By observing these cases, in this research, we will seek to investigate the phenomenon of greenwashing and explain the mechanism of its effect on the intention to buy green. METHODOLOGY The current research is in the field of descriptive and survey research from the methodological point of view. Also, from the point of view of the implementation method, the current study has two phases: library and field. In the library phase, the researchers presented the research model by using the literature review and the existing experimental background. The authors' tool for this has been the use of library resources. In the field phase, the authors distributed questionnaires in order to test the fit of the model and research hypotheses. Finally, 276 healthy questionnaires were collected and analyzed using the structural equation modeling method based on the partial least squares approach. FINDINGS The authors present the findings of this study in two basic steps. The first step of the findings is related to the fit and validity of the research model. The second group of findings of this research includes the confirmation of all research hypotheses, which are summarized in Tabel 1: Tabel 1. The results of the test of research hypotheseshypothesesPathPath coefficientT StatisticResultH1greenwash  Green Purchase Intention-0/3166/045supportedH2greenwash  Green Word of Mouth-0/81940/944supportedH3greenwash  Green confusion0/82740/476supportedH4greenwash  Green Skepticism0/77129/208supportedH5Green confusion  Green Purchase Intention-0/2695/833supportedH6Green Skepticism  Green Purchase Intention-0/1353/053supportedH7Green Word of Mouth  Green Purchase Intention0/2545/218supportedH8greenwash  Green confusion  Green Purchase Intention-0/1042/985supportedH9greenwash  Green Word of Mouth  Green Purchase Intention-0/2085/596supported  CONCLUSION The current research encourages and supports food industry marketers to create credible green claims that not only improve their business status, but also enhance their environmental programs. The results showed that some food industries have a high risk due to consumers' pessimism towards the greenness of their activities and services. Managers should focus on several environmentally friendly methods to reduce consumer cynicism. Managers should increase the transparency of environmental performance, and in addition, non-governmental organizations can audit companies' environmental reports and fine companies that engage in greenwashing. With these words, it is expected to be able to help control greenwashing behavior and green doubts to some extent.

The labor market is one of the main markets in the national economy and the equilibrium of the labor market is one of the main concerns of policymakers in every country. Theoretical foundations and empirical studies show that labor demand is the main factor in creating employment and equilibrium in the labor market. This article evaluates the effect of fiscal policy on labor demand in Iran from 1976-2018. During this period, the government has implemented employment-generating projects, tax and insurance exemptions via annual development programs and budgets, and encouraged investment in areas with high unemployment rates. we examined the effect of current government expenditures, government development expenditures, and taxes to study the effect of government fiscal policies on labor demand. In this article, we estimate the dynamic function of labor demand using the ARDL technique. According to the theoretical foundations and empirical studies in the specified function, labor demand is a function of intermittent values and independent variables of Gross Domestic Product (GDP), real wages, capital stock, current government expenditures, government development expenditures, tax revenues, and dummy variables of imposed war and the UN Security Council sanction. The results showed that fiscal policy has not had a positive effect on labor demand in the Iranian labor market in the short and long term.

Monetary policy plays an important role in managing the economy, but success in applying this policy requires that the monetary authority understands the process of monetary transmission in the economy. Thus, it is not possible to study the effects of monetary policy on the economy without studying the channels of monetary policy transmission. Therefore, in this paper, the effect of a monetary policy through different channels of monetary policy transmission on inflation and production in terms of time process and extent of effectiveness by using Iran's data over the period of (1960 to 2018) through the method of new Keynesian dynamic stochastic general equilibrium have been investigated. The accuracy of the model was confirmed by analysing the impulse-response functions and calculating the method of moments of the second order. The results of the model show that the effects of monetary policy shock are transmitted through the nominal growth rate of money, the real exchange rate on inflation and production without oil. Also, this effects by increasing the interest rates on bank deposits through the monetary base lead to increase production without oil, and through the monetary base, the exchange rate and the price index of domestic goods reduce inflation.

Sanctions increase managers' motivations to manage profits and the accumulation of bad news due to their negative impact on corporate profitability and cash flow. According to Jin and Myers (2006), this issue increases companies' stock price crash risk. The higher probability of stock price crashes indicates a stock price overvaluation. As a result, the expected return on such shares will be low. The current paper used the softmax model to calculate the probability of stock price crashes and the expected return calculated by the Fama-French three-factor model. The sample used in this paper includes 80 import- and export-oriented exchange companies from 2008-2021. The results of this paper indicate a positive and significant relationship between the sanctions variables and the probability of stock crashes. So, sanctions cause an increase in the accumulation of bad news and information asymmetry between managers and investors. The second part of the paper's results indicates a negative relationship between the probability of stock crashes and the expected return on the stocks in the Iranian capital market. Therefore, investors have relatively good analytical skills in the Iranian capital market due to its shallow depth and infrastructure problems. The results of this paper can be used in portfolio management to select stocks with a lower probability of crash and higher return.

Audit quality is one of the most important issues in the field of auditing and the capital market. Defining a framework for determining the quality of audit is important so the present study seeks to rank and compare the factors affecting audit quality from the perspective of different groups using a multi-attribute TOPSIS technique. In this research, first, 15 influencing factors were selected as quality indicators using library studies, and then these indicators were analyzed using TOPSIS multi-attribute technique by distributing questionnaires among four groups including: researchers and faculty members, audit institutes, chartered accountants, members of the audit committee, and financial managers of the companies listed on the Tehran Stock Exchange and they were rated and compared. From the view point of the of researchers and faculty members, auditing institutes, auditing committee members and chief financial managers, the most important effective factors on the audit quality are professional level of the auditor in the industry expertise, number of employed chartered public accountants and quality control score, respectively. The results of index comparison test indicates that from the view point of the four studied groups, there is a sensible difference between 15 abovementioned indicators.

The main reason for people investing in the stock market is to make a profit, which requires accurate information about the stock market, price changes and predicting its future trend. Therefore, investors need powerful and reliable tools for forecasting Stock prices in the future. The main purpose of this study is to present a method based on wavelet denoising and dynamic time warping to identify the stock price pattern in the Tehran Stock Exchange. In this regard, first, using the wavelet denoising preprocessing step, noise is removed from the stock price time series, and then the extracted data is used as input to the dynamic time warping prediction model. MATLAB software version 9.11 was used to analyze the research data. The statistical population of the present study includes 3 shares among the shares of steel industry companies of Tehran Stock Exchange. The research was conducted in the period 1395 to 1398. The results show that the predictions obtained from the dynamic time warping method equipped with the wavelet denoising preprocessing step in comparison with the predictions obtained from the dynamic time warping method without the wavelet denoising preprocessing step in all three shares studied, have been associated with much less accuracy and error.