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السياسة الضريبية المحلية في ظل العولمة ( مع إشارة خاصة لالسياسة الضريبية المحلية في ظل العولمة ( مع إشارة خاصة لبلدان جنوب شرق آسيا)بلدان جنوب شرق آسيا)
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تركت العولمة المتسارعة أثرا عميقا على مدى واسع من السياسات والتطبيقات الاقتصادية في كل من الدول النامية والمتقدمة على حد سواء, إذ نشأت الأنظمة الضريبية الحالية عندما نمّط كل بلد سياسته الضريبية بشكل تركز معه على متطلبات الاقتصاد المحلي, وعندما كانت تعقد المفاوضات بين الأمم المختلفة حول المعاملات الضريبية والاتفاقات الضريبية كانت تجري في إطار من هيمنة السياسة الضريبية المحلية.

لكن العولمة قد غيرت من هذا خاصة فيما يتعلق بمستوى الضرائب أو مزيج الضرائب
(الهيكل الضريبي) أو تصميم بعض أنواع الضرائب، وكذلك من حالة الإدارة الضريبية
وامتثال المكلف. وبدأت الأقطار تكشف قلقا متزايدا و حساسية متنامية للتغيرات الضريبية, التي بدأت تظهر من قبل الشركاء التجاريين أو المنافسين, وبدأ يضيق معها هامش الاستقلالية الذاتية التي تركز على السياسات الضريبية المحلية.

مما حدى ببعض الاقتصاديين (مثل vito tanzi    عام 2000) لاستخدام مصطلح النمل الأبيض المالي fiscal termites"  لوصف مدى تأثير التغيرات التكنولوجية والعولمة على الأنظمة الضريبية الوطنية.

ومن المتوقع أن يكون تبني الأنظمة الضريبية  للعولمة بطيئا فضلا عن كونه متقطعاً وغير مستقر, كذلك من الممكن إذا ما جابهت الإدارات الضريبية  تحديات في ادارة الضرائب الحالية, فقد يظهر نوع جديد من الضرائب مع ظهور تقنيات وفعاليات جديدة.

لذا يهدف هذا البحث لتحليل أهم آثار العولمة ونتائج التكامل المتعاظم في الاقتصاد العالمي على الأنظمة الضريبية في الدول النامية عموما، ودول جنوب شرق آسيا خصوصا.

وأنطلق البحث من فرضية مفادها, وجود علاقة عكسية بين درجة اندماج الدول النامية في ركب العولمة والحصيلة الضريبية المحلية في هذه الدول.

وتوخيا للهدف السابق جاءت هيكلية البحث في ثلاثة مباحث, كل مبحث تضمن مطلبين, تناول المبحث الأول منها حركة عناصر الانتاج وتوزيع العبء الضريبي عليها, أما المبحث الثاني فتناول المنافسة الضريبية وحركة الاستثمار الأجنبي المباشر, وجاء المبحث الثالث لينصرف للاهتمام بثورة الاتصالات والابتكار الضريبي المطلوب, وصولا في الختام  للاستنتاجات والمقترحات.

 

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Wed Mar 30 2022
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Using Quadratic Form Ratio Multiple Test to Estimate Linear Regression Model Parameters in Big Data with Application: Child Labor in Iraq
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              The current paper proposes a new estimator for the linear regression model parameters under Big Data circumstances.  From the diversity of Big Data variables comes many challenges that  can be interesting to the  researchers who try their best to find new and novel methods to estimate the parameters of linear regression model. Data has been collected by Central Statistical Organization IRAQ, and the child labor in Iraq has been chosen as data. Child labor is the most vital phenomena that both society and education are suffering from and it affects the future of our next generation. Two methods have been selected to estimate the parameter

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Publication Date
Sun May 12 2019
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