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| 1 |
ID:
140478
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| Summary/Abstract |
One of the greatest challenges facing China today is the central government's ability to ensure that policies are implemented effectively at the local level, particularly policies that seek to make China's economic growth model more sustainable. These policies face resistance from local authorities and enterprises that benefit from the status quo. This raises a key research question: why do some provinces more fully implement these central policies? We argue the extent of local implementation is best conceptualized as a rational balance between economic and political incentives: localities with regulatory autonomy, low regulatory capacity and alternative interests will not fully implement policies that are at odds with local economic imperatives. By examining a critical case of central policy implementation—industrial energy intensity reduction in the eleventh five-year plan—this article demonstrates that, regardless of industrial makeup or economic development, provinces that have greater regulatory autonomy for noncompliance coupled with alternative economic interests do not, on average, perform as well. Using a nested analysis approach this study illustrates this argument with both quantitative analysis and original case study evidence from fieldwork interviews.
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| 2 |
ID:
120775
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| Publication |
2013.
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| Summary/Abstract |
Recent studies indicate that strategic nonviolent campaigns have been more successful over time in achieving their political objectives than violent insurgencies. But additional research has been limited by a lack of time-series data on nonviolent and violent campaigns, as well as a lack of more nuanced and detailed data on the attributes of the campaigns. In this article, we introduce the Nonviolent and Violent Campaigns and Outcomes (NAVCO) 2.0 dataset, which compiles annual data on 250 nonviolent and violent mass movements for regime change, anti-occupation, and secession from 1945 to 2006. NAVCO 2.0 also includes features of each campaign, such as participation size and diversity, the behavior of regime elites, repression and its effects on the campaign, support (or lack thereof) from external actors, and progress toward the campaign outcomes. After describing the data generation process and the dataset itself, we demonstrate why studying nonviolent resistance may yield novel insights for conflict scholars by replicating an influential study of civil war onset. This preliminary study reveals strikingly divergent findings regarding the systematic drivers of nonviolent campaign onset. Nonviolent campaign onset may be driven by separate - and in some cases, opposing - processes relative to violent campaigns. This finding underscores the value-added of the dataset, as well as the importance of evaluating methods of conflict within a unified research design.
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