مقاله انگلیسی رایگان در مورد شاخص فقر در مقابل شاخص توانگری – امرالد 2019

 

مشخصات مقاله
ترجمه عنوان مقاله شاخص فقر در مقابل شاخص توانگری: یک روش جدید برای تعیین عوامل تعیین کننده فقر
عنوان انگلیسی مقاله Poverty index vs richness index: a new way to analyze the determinants of poverty
انتشار مقاله سال 2019
تعداد صفحات مقاله انگلیسی 10 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه امرالد
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master journals
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
1.152 در سال 2019
شاخص H_index 11 در سال 2020
شاخص SJR 0.291 در سال 2019
شناسه ISSN 2040-0705
شاخص Quartile (چارک) Q2 در سال 2019
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط علوم اجتماعی، اقتصاد
گرایش های مرتبط اقتصادسنجی، اقتصاد مالی، پژوهشگری اجتماعی، اقتصاد پولی
نوع ارائه مقاله
ژورنال
مجله مجله آفریقایی مطالعات اقتصادی و مدیریتی – African Journal Of Economic And Management Studies
دانشگاه Department of Quantitative Methods, FSEGN, University of Carthage, Nabeul, Tunisia
کلمات کلیدی تونس، مقایسه، طبقه بندی، فقر، ثروت
کلمات کلیدی انگلیسی Tunisia، Comparison، Classification، Poverty، Richness
شناسه دیجیتال – doi
https://doi.org/10.1108/AJEMS-04-2018-0110
کد محصول E13962
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

1- Introduction

2- Literature review

3- Methodology

4- Empirical validation

5- Conclusion

References

بخشی از متن مقاله:

Abstract

Purpose – The analysis of poverty is fundamentally focused on examining the well-being condition of the poor. We usually neglect the information provided by the rich. Nevertheless, perhaps the non-considered information indicating the determinants of non-poverty is also useful for fighting against poverty. The purpose of this paper is to analyze poverty under a new angle i.e. focusing on the information provided by the non-poor instead of the poor. For that a richness index is calculated in order to estimate econometric models regressing both indices i.e. poverty and richness indices on same selected characteristics. Thus, the comparison of the determinants of poverty and non-poverty for Tunisian case have allowed the classification of the selected explanatory variables with significant effect into four categories: the variables having significant effect on both sides (permanent effect), the variables having significant effect on the poor but not on the non-poor (transitory effect), the variables having significant effect on the non-poor but not on the poor (insurance effect) and the variables without any effect on both cases (neutral effect). This procedure is thus important given that it provides additional information and new way to enhance the targeting efficiency of the poor and fighting against poverty.
Design/methodology/approach – Using Tunisian data, an original procedure is proposed for calculating a richness index, defined based on the common formula of calculating the poverty index. Next econometric models are estimated regressing both the indices i.e. poverty and richness index on same selected characteristics.
Findings – The comparison of the determinants of poverty and non-poverty have allowed the classification of the selected explanatory variables with significant effect into four categories: the variables having significant effect on both sides (permanent effect), the variables having significant effect on the poor but not on the non-poor (transitory effect), the variables having significant effect on the non-poor but not on the poor (insurance effect) and the variables without any effect on both cases (neutral effect).
Originality/value – The analysis and the classification of the determinants of poverty according to the determinants of non-poverty is never made before in the litterature. This procedure is important given that it provides additional information and a new way to enhance the efficiency of targeting the poor and fighting against poverty.

Introduction

The fight against poverty is an indisputable priority for enhancing the well-being of individuals and reaching a real socio-economic development, particularly in developing countries. Nevertheless, the effectiveness of any anti-poverty policy depends on the good comprehension of the phenomenon and the way to operationalize the identification of the poor. However in practice, the complexity of the phenomenon makes the poverty targeting rather complicated. Numerous methods have been presented in the literature for analyzing poverty. Despite this, the situation of the poor doesn’t seem to become better, particularly in developing countries. This may indicate that there is a real problem of effectiveness and it is essential to find alternative tools making it possible to refine the targeting of the poor in order to enhance the effectiveness of poverty alleviation policies.

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