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971.
Caspar F. van den Berg 《Policy Sciences》2017,50(1):63-84
Although the literature on policy advisory systems has experienced a revival in recent years, its empirical focus has mainly been on Anglophone countries (Craft and Halligan 2016). This paper applies the policy advisory systems approach to the Netherlands, which can serve as an example of the dynamics in the policy advisory systems of consensus-driven, neo-corporatist polities Lijphart in Patterns of Democracy: Government Forms and Performance in Thirty-Six Countries, 21, 235–266 1999). Using a historical-institutionalist perspective, the dynamics of the Dutch policy advisory system from the mid-1960s to the present day are examined. Based on original cross-time survey data and an analysis of secondary sources, the impact of depillarization (mid-1960s–mid-1990s), new public management (mid-1980s onwards) and an increased pressure on the executive have had for the Dutch policy advisory system (from the late 1990s): fragmentation, externalization and a non-partisan brand of politicization are shown. More specifically, the use of the institutionalized system of permanent advisory councils has lost part of its significance in favour of both external consultants and ad hoc advisory committees. The Dutch case, with its accumulative institutional design based on Weberianism, neo-corporatism and new public management elements, has thus experienced markedly different dynamics in its policy advice system than the Anglophone countries. 相似文献
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Henrik Serup Christensen Maija Jäske Maija Setälä Elias Laitinen 《Scandinavian political studies》2017,40(4):411-433
This article examines whether the Citizens' Initiative (CI) in Finland has enhanced inclusion in processes of political agenda‐setting. Democratic innovations such as CIs have been proposed as a solution to the challenges facing Western democracies. CIs are expected to increase political inclusion by allowing citizens to set the political agenda and by mobilising otherwise marginalised or passive citizens. However, the empirical evidence on this proposition remains scarce. This study examines the impact of the CI in Finland on political inclusion. It relies on the Civic Voluntarism Model (CVM) to determine whether the CI mobilises citizens who otherwise tend to be less involved in political matters and thereby enhances inclusiveness. The data come from the Finnish National Election Study 2015 (FNES2015), which is a cross‐sectional representative survey conducted in the wake of the national parliamentary elections in April 2015. Logistic regression models are used in the article to examine the relative importance of socioeconomic resources and civic skills, psychological political engagement and recruitment networks. The results show that while users have many of the familiar traits of political activists, the CI also activates marginalised groups. Most importantly, young citizens are likely to support CIs and the Internet constitutes a central recruitment network. In this sense, the CI has helped increase democratic inclusiveness. 相似文献
977.
For the Want of a Nail: The Interaction of Managerial Capacity and Human Resource Management on Organizational Performance
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Human resource management and managerial capacity are well documented in the public management literature as integral management functions. The field has devoted attention to the importance of human resources, but it has yet to consider whether human resource management interacts with capacity in attaining organizational outcomes. Using a large‐N, multiyear data set of public organizations, this article seeks to rectify this gap in the literature. The findings validate scholarly arguments on the importance of public organizations’ need to manage human resources and capacity effectively, identifying just the right combination for performance gains. Empirical results encourage practitioners to consider the ways in which human resource management and capacity work together to influence performance but sometimes undermine each other in counterintuitive ways. 相似文献
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Early Impacts of the Affordable Care Act on Health Insurance Coverage in Medicaid Expansion and Non‐Expansion States
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Charles Courtemanche James Marton Benjamin Ukert Aaron Yelowitz Daniela Zapata 《Journal of policy analysis and management》2017,36(1):178-210
The Affordable Care Act (ACA) aimed to achieve nearly universal health insurance coverage in the United States through a combination of insurance market reforms, mandates, subsidies, health insurance exchanges, and Medicaid expansions, most of which took effect in 2014. This paper estimates the causal effects of the ACA on health insurance coverage in 2014 using data from the American Community Survey. We utilize difference‐in‐difference‐in‐differences models that exploit cross‐sectional variation in the intensity of treatment arising from state participation in the Medicaid expansion and local area pre‐ACA uninsured rates. This strategy allows us to identify the effects of the ACA in both Medicaid expansion and non‐expansion states. Our preferred specification suggests that, at the average pre‐treatment uninsured rate, the full ACA increased the proportion of residents with insurance by 5.9 percentage points compared to 2.8 percentage points in states that did not expand Medicaid. Private insurance expansions from the ACA were due to increases in both employer‐provided and non‐group coverage. The coverage gains from the full ACA were largest for those without a college degree, non‐whites, young adults, unmarried individuals, and those without children in the home. We find no evidence that the Medicaid expansion crowded out private coverage. 相似文献
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Experimentalists are increasingly examining heterogeneous treatment effects, in which observed individual-level characteristics are hypothesized to moderate an experimental treatment effect. Such work places researchers at the nexus of experimental and observational approaches. In this paper, we discuss the theoretical and statistical issues that can arise in testing such hypotheses. We note that inclusion of an observed (as opposed to randomly-assigned) moderator introduces the possibility of confounds that are commonplace in observational data analysis but too-easily ignored in experimental data analysis. We simulate several different data generating processes that include heterogeneous treatment effects, and we discuss the implications of various statistical models. We aim to provide researchers who examine heterogeneous treatment effects with background and advice that enable them to identify where common issues may arise and to develop research designs and implement statistical tests that will mitigate them. 相似文献