Designing a tax evasion model with an emphasis on production problems
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 97
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJNAA-15-6_008
تاریخ نمایه سازی: 17 اردیبهشت 1403
چکیده مقاله:
Tax evasion is considered a fundamental problem for countries and is common in some jobs. The aim of this research is to design the tax break model with an emphasis on manufacturing problems in the clothing and clothing industry. The research method is mixed and applied. The statistical population is the qualitative sector of ۱۰ university professors and managers in the garment manufacturing industry and ۳۱۰ in the quantitative sector of the garment industry. The sampling method is simple. Qualitative data were analyzed using thematic analysis and quantitative phase structural equation method. ۵ main and ۱۵ sub-themes of the model were identified in the qualitative phase. The model had good fitness and the combined reliability was ۰.۷۸۱ which was acceptable. After testing the hypotheses, it was all confirmed and according to the results of the interpretive structural modeling, complex and multiple tax laws were placed at the fifth level, which indicates that it has the greatest impact on the tax evasion of producers. Thus, the relevant authorities in the manufacturing apparel and clothing industry are proposed to consider the most important tax evasion factors including increased inflation rate, and to provide strategies to reduce this factor.
کلیدواژه ها:
نویسندگان
Mohammadjavad Charkhkar
Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Hamid Tabaiezadeh Fosharaki
Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Tahmoures Sohrabi
Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :