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  • Political Science  (2)
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  • Political Science  (2)
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  • 1
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  American Journal of Political Science Vol. 67, No. 3 ( 2023-07), p. 587-605
    In: American Journal of Political Science, Wiley, Vol. 67, No. 3 ( 2023-07), p. 587-605
    Abstract: Matching methods improve the validity of causal inference by reducing model dependence and offering intuitive diagnostics. Although they have become a part of the standard tool kit across disciplines, matching methods are rarely used when analysing time‐series cross‐sectional data. We fill this methodological gap. In the proposed approach, we first match each treated observation with control observations from other units in the same time period that have an identical treatment history up to the prespecified number of lags. We use standard matching and weighting methods to further refine this matched set so that the treated and matched control observations have similar covariate values. Assessing the quality of matches is done by examining covariate balance. Finally, we estimate both short‐term and long‐term average treatment effects using the difference‐in‐differences estimator, accounting for a time trend. We illustrate the proposed methodology through simulation and empirical studies. An open‐source software package is available for implementing the proposed methods.
    Type of Medium: Online Resource
    ISSN: 0092-5853 , 1540-5907
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2010010-3
    detail.hit.zdb_id: 280044-5
    SSG: 3,6
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2008
    In:  Environment and Planning C: Government and Policy Vol. 26, No. 6 ( 2008-12), p. 1197-1226
    In: Environment and Planning C: Government and Policy, SAGE Publications, Vol. 26, No. 6 ( 2008-12), p. 1197-1226
    Abstract: Retailing in China has become an important engine driving the nation's economy. Along with the rapid expansion in scale, the retail industry has also experienced profound structural changes in cities. The transformation of the retail sector in large cities like Beijing and Shanghai is characterized by a realignment of ownership structure, diversification of retail functions, the emergence of new retail formats, the increasing concentration of retail capital and rapid expansion of retail chains, and spatial restructuring and retail suburbanization. The transformation not only reflects the changing supply and demand relations and the interaction between retailing and consumption but also is intrinsically connected to the shift in government policies. We present a political-economy perspective to explain the dramatic retail changes that have occurred in Chinese cities. In particular, we discuss the role of the state in retail transformation and in urban and economic development in general. We argue that the concept of ‘developmental state’ and its alternate variants such as ‘local state corporatism’ and ‘entrepreneurial state’ provide valuable and illuminating insights to the understanding of how the Chinese state (and especially the local states) acts in developing the economy in the reform era. Nevertheless, these notions need to be revisited to better recognize the complex and dynamic nature of the Chinese state. Instead, we propose that the Chinese state is better understood as a ‘fragmented developmental state’, which displays a strong progrowth orientation but which also suffers from a fragmented administrative structure, an inconsistent regulatory system, and market-distorting activities in the transformation from a socialist state to a developmental state of its own kind.
    Type of Medium: Online Resource
    ISSN: 0263-774X , 1472-3425
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2008
    detail.hit.zdb_id: 878440-1
    detail.hit.zdb_id: 2039725-2
    SSG: 3,4
    SSG: 3,6
    SSG: 3,7
    Location Call Number Limitation Availability
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