Poverty and Poverty Reduction Policies in Jordan

Lenner, Katharina

doi:10.4000/books.ifpo.5036

Cited by 7 publications

(7 citation statements)

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“…15 The work of the Zikra Initiative may contribute to alleviating some of the socio-economic problems in this specific poverty pocket, namely introducing entrepreneurship as an alternative livelihood strategy to public sector employment or the military. Nevertheless, it ignores the root causes and political responsibility for the emergence of poverty pockets in Jordan since the 1980s when structural adjustment measures were introduced and resulted in the emergence of poverty pockets (Lenner 2013). Similar examples can be found among other entrepreneurs and issue areas.…”

Section: Elite-entrepreneur-tiesmentioning

confidence: 92%

‘Authoritarian Neoliberalism’ and Youth Empowerment in Jordan

İşleyen

Kreitmeyr

2020

Journal of Intervention and Statebuilding

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This article examines youth entrepreneurship in Jordan in the context of the country's neoliberal reforms. Drawing on Foucauldian scholarship on neoliberal governmentality and the literature on authoritarian neoliberalism, we argue that youth empowerment is part of the Jordanian regime's strategy of subject formation along neoliberal lines through the dissemination of market ideas of competitiveness, enterprise society and self-responsibility. The article presents new empirical material that includes interviews conducted in Jordan and Egypt and highlights how the King's two initiatives display a win-win relationship for the regime and the youth alike without necessarily challenging the status.

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Section: Elite-entrepreneur-tiesmentioning

confidence: 92%

‘Authoritarian Neoliberalism’ and Youth Empowerment in Jordan

İşleyen

Kreitmeyr

2020

Journal of Intervention and Statebuilding

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“…This funding is intended to sustain cash assistance to impoverished and vulnerable households, as well as workers in businesses severely impacted by the pandemic (The World Bank, 2022). Back in 2008, the poverty line in Jordan stood at JD323 per month (US$456) or JD3,876 per year (US$5,467) for an average family size of 5.7 members (Lenner, 2013). This indicates that a household would need to spend at least JD3,876 per year or JD323 per month to cover their assumed basic needs.…”

Section: Covid-19 Long-run Impacts On Jordan's Economymentioning

confidence: 99%

Short-and Long-run Influence of COVID-19 on Jordan's Economy

Istaiteyeh

2023

Advances in Management and Applied Economics

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Global economic growth projections have been revised downward in the wake of the COVID-19 pandemic. This adjustment mirrors a substantial global economic decline brought about by COVID-19-induced lockdowns, which greatly restricted labor force movement and disrupted international trade, with Jordan aligning itself with this downward trend. This report provides a comprehensive sector-specific assessment of the COVID-19 impacts on the Jordanian economy, drawing on Jordanian official reports, various news sources, and expert opinions. Jordan's battle with COVID-19 extends beyond public health, encompassing significant economic challenges, with the ongoing economic struggle potentially proving more formidable than the health crisis. Therefore, Jordan's primary focus should be on establishing a precisely targeted social safety net, given the pandemic's highlighting of widespread informality in employment across the Middle East and North Africa region, as it navigates its path to economic recovery. JEL classification numbers: I, I15. Keywords: COVID-19, Economic influence, Jordan, Microeconomics, Macroeconomics

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“…This is the first research study on poverty prediction in Jordan via applying machine learning methods. As poverty measurements, an absolute poverty line based on expenditure was applied [140]. The framework of the analysis is illustrated in Figure 4.…”

Section: Poverty Classification Using Machine Learning: the Case Of J...mentioning

confidence: 99%

Utilities of Artificial Intelligence in Poverty Prediction: A Review

et al. 2022

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Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the world’s society—poverty. Our goal is to investigate utilities of AI in poverty prediction via finding answers to the following research questions: (1) How many papers on utilities of AI in poverty prediction were published up until March, 2022? (2) Which approach to poverty was applied when AI was used for poverty prediction? (3) Which AI methods were applied for predicting poverty? (4) What data were used for poverty prediction via AI? (5) What are the advantages and disadvantages of the created AI models for poverty prediction? In order to answer these questions, we selected twenty-two papers using appropriate keywords and the exclusion criteria and analyzed their content. The selection process identified that, since 2016, publications on AI applications in poverty prediction began. Results of our research illustrate that, during this relatively short period, the application of AI in predicting poverty experienced a significant progress. Overall, fifty-seven AI methods were applied during the analyzed span, among which the most popular one was random forest. It was revealed that with the adoption of AI tools, the process of poverty prediction has become, from one side, quicker and more accurate and, from another side, more advanced due to the creation and possibility of using different datasets. The originality of this work is that this is the first sophisticated survey of AI applications in poverty prediction.

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Poverty and Poverty Reduction Policies in Jordan

Cited by 7 publications

References 0 publications

‘Authoritarian Neoliberalism’ and Youth Empowerment in Jordan

‘Authoritarian Neoliberalism’ and Youth Empowerment in Jordan

Short-and Long-run Influence of COVID-19 on Jordan's Economy

Utilities of Artificial Intelligence in Poverty Prediction: A Review

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