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48,529 result(s) for "PUBLIC EMPLOYMENT SERVICES"
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Building effective employment programs for unemployed youth in the Middle East and North Africa
This study surveys active labor market programs (ALMPs) in selected countries of the Middle East and North Africa (MENA) region, identifies key challenges to their effective and efficient delivery, and proposes a policy framework for reforming public service provision. This study draws on data collected through surveys administered to public social, employment, and education agencies in selected MENA countries to identify key constraints and options for reforming publicly provided employment programs. Recent political transitions arising from the Arab Spring have contributed to the deterioration of labor market outcomes in the MENA region. In this context, ALMPs could become an important policy lever to address some of the challenges facing labor markets. These include: joblessness, skills mismatches, lack of labor market mobility, large and expanding informal sector, and lack of formal employment networks. The study also provides specific details on the beneficiaries, targeting, and expenditures of ALMPs during this same period.
Emotional Labor and Crisis Response
The author's of the award-winning Emotional Labor now go inside the stressful world of suicide, rape, and domestic hotline workers, EMTs, triage nurses, and agency/deparment spokespersons, to provide powerful insights into how emotional labor is actually exerted by public servants who face the gravest challenges.
Analysis of the Spatial Pattern and Influencing Factors of the Coupled and Coordinated Development of Digital Infrastructure and Public Employment Service Efficiency
Although the role of digital infrastructure as an engine for the sustainable development of public services has been widely investigated, systematic and dynamic analysis of the coupling and coordination mechanisms between digital infrastructure and public employment service efficiency is lacking. On the basis of Chinese provincial panel data from 2012 to 2023, the coupling coordination degree model, Dagum’s Gini coefficient, Markov chain, and Tobit model are used to measure the coupling coordination degree of digital infrastructure and public employment service efficiency, analyze its spatial pattern, and explore its influencing factors. The results of this study reveal that (1) The coupled and coordinated development trend of digital infrastructure and public employment service efficiency has improved from “mild imbalance recession” to “near imbalance recession”. (2) The spatial difference in the coupling coordination degree is characterized by slow expansion but overall stabilization, and the spatial transfer state remains relatively stable. (3) Economic development, industrial structure, trade openness, and technological development increase the coupling coordination degree, whereas urbanization, the urban–rural income gap, and government intervention hinder it. This study not only expands the theoretical boundaries of digital governance research and overcomes the theoretical limitations of traditional public employment service research but also has substantial practical importance for promoting social equity, inclusive growth, and economic sustainability.
Roads to Renewal
This publication makes available to historians and general readers a little-known document mapping the achievement of a crucial initiative in the plans for recovery from the harshest blows of the Great Depression, in one of America’s hardest-hit states. It presents a historically unique case history of the Federal Civil Works Administration, established by Franklin D. Roosevelt’s New Deal. The CWA addressed the issues of unemployment and destitution brought on by the Depression, specifically in Michigan. With a contextualizing introduction and afterword by historian James R. Anderson, the republication of this report—with its wealth of data and statistics, and its compelling information about the extent of the crisis and of the government’s initiatives—brings to light fascinating aspects of how critical (and impactful) such interventions were in the context of unprecedented economic challenges.
Can Robots Understand Welfare? Exploring Machine Bureaucracies in Welfare-to-Work
The exercise of administrative discretion by street-level workers plays a key role in shaping citizens’ access to welfare and employment services. Governance reforms of social services delivery, such as performance-based contracting, have often been driven by attempts to discipline this discretion. In several countries, these forms of market governance are now being eclipsed by new modes of digital governance that seek to reshape the delivery of services using algorithms and machine learning. Australia, a pioneer of marketisation, is one example, proposing to deploy digitalisation to fully automate most of its employment services rather than as a supplement to face-to-face case management. We examine the potential and limits of this project to replace human-to-human with ‘machine bureaucracies’. To what extent are welfare and employment services amenable to digitalisation? What trade-offs are involved? In addressing these questions, we consider the purported benefits of machine bureaucracies in achieving higher levels of efficiency, accountability, and consistency in policy delivery. While recognising the potential benefits of machine bureaucracies for both governments and jobseekers, we argue that trade-offs will be faced between enhancing the efficiency and consistency of services and ensuring that services remain accessible and responsive to highly personalised circumstances.
Using Artificial Intelligence to classify Jobseekers: The Accuracy-Equity Trade-off
Artificial intelligence (AI) is increasingly popular in the public sector to improve the cost-efficiency of service delivery. One example is AI-based profiling models in public employment services (PES), which predict a jobseeker’s probability of finding work and are used to segment jobseekers in groups. Profiling models hold the potential to improve identification of jobseekers at-risk of becoming long-term unemployed, but also induce discrimination. Using a recently developed AI-based profiling model of the Flemish PES, we assess to what extent AI-based profiling ‘discriminates’ against jobseekers of foreign origin compared to traditional rule-based profiling approaches. At a maximum level of accuracy, jobseekers of foreign origin who ultimately find a job are 2.6 times more likely to be misclassified as ‘high-risk’ jobseekers. We argue that it is critical that policymakers and caseworkers understand the inherent trade-offs of profiling models, and consider the limitations when integrating these models in daily operations. We develop a graphical tool to visualize the accuracy-equity trade-off in order to facilitate policy discussions.
Outcome-based contracting and gaming practices in marketised public employment services. Dilemmas from the Italian case
Concerns about the unintended effects of marketised public employment services are increasingly expressed because there is mounting evidence that such services are frequently characterised by various gaming practices on the part of their providers. To prevent these unintended consequences, payment-by-result approaches have been progressively strengthened. The aim of the research reported in this article was to investigate the extent to which such approaches are able to make service providers accountable for client outcomes. The study used two Italian regional cases in order to compare different and alternative contracting arrangements: Lombardy (outcome-based payments), and Emilia-Romagna (fixed payments). Drawing on rich administrative databases, the analysis relied on a quantitative methodology based on propensity score matching and logistic regressions. Even if outcome-based contracting can make service providers financially accountable for the service outcome, the results of the analysis show that it does not sufficiently prevent gaming practices, resulting in inequity among the services provided.
Collaborative governance and innovation in public services settings
Collaborative governance is believed to lead to more innovative solutions to complex problems in public services. This article analyses whether this hypothesis applies in the case of decentralisation of labour market policy to regional networks of various actors in the Netherlands. We first develop a theoretical argument that integrates theories of collaborative governance with theories of innovation, distinguishing between a wide and a small option for innovation in relation to the structure, process and output/outcome of collaborative governance. Our findings show that, despite a variety of partnerships and ambitions across the regions, new and bold solutions to complex problems are scarce. In particular, wide innovation, which creates public value beyond the existing policy frameworks and services, is limited in practice. The article advances the theory by specifying barriers and conditions for network innovation in the public sector, and provides some suggestions for further research.
Kansas in the Great Depression : work relief, the Dole, and rehabilitation
No part of the United States escaped the ravages of the Great Depression, but some coped with it better than others. Ranging widely over all of Kansas's 105 counties, Peter Fearon provides a detailed analysis of the key relief programs for both urban and rural areas and shows that the state's Republican administration effectively ran New Deal welfare policies. Kansas in the Great Depression is an insightful look at how federal, state, and local authorities worked together to deal with a national emergency, revealing the complexities of policy initiatives not generally brought to light in studies at the national level while establishing important links between pre-Roosevelt policies and the New Deal. It reaffirms the virtues of government programs run by dedicated public officials as it opens a new window on Americans helping Americans in their darkest hours.
An Approximate Overview of How United Kingdom Minimise Unemployment Rate through Public Employment Services: A Lesson South Africa Can Learn From
Both developing and developed countries have the responsibility of providing employment services. In the United Kingdom (UK) the unemployment rate stands at 3.7% which is the lowest among many countries. During quarter 4 of 2023, the statistics show that South Africa stands at 32.1% unemployment rate, which is one of the highest rates. In the UK and South Africa, providing employment services is part of government responsibilities, through Public Employment Services (PES). The main function of PES is to provide employment services and regulate the operation of private employment agencies. The high unemployment rate in South Africa is largely contributing to poverty. This study was conducted mainly to review how the UK minimise the unemployment rate through PES, to provide lessons on how South Africa can improve employment services. The history avers that PES was first introduced in the UK, to assist assisting work-seekers to get employment, and employers to easily locate employees. This study is conceptual in nature and relies on theory building and critical scholarship review as methodological insights to gather data. The study found that PES in South Africa is implemented way differently from the UK. In the UK, PES take full control of employment services and unemployment benefits and operates at a level which is closest to the people. It was recommended that PES in SA needs to be restructured and operate as an interdependent institution reporting directly to the minister of DEL.