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Policy Experimentation in China: the Political Economy of Policy Learning

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  • Shaoda Wang
  • David Y. Yang

Abstract

Many governments have engaged in policy experimentation in various forms to resolve uncertainty and facilitate learning. However, little is understood about the characteristics of policy experimentation, and how the structure of experimentation may affect policy learning and policy outcomes. We aim to describe and understand China’s policy experimentation since 1980, among the largest and most systematic in recent history. We collect comprehensive data on policy experimentation conducted in China over the past four decades. We find three main results. First, more than 80% of the experiments exhibit positive sample selection in terms of a locality’s economic development, and much of this can be attributed to misaligned incentives across political hierarchies. Second, local politicians allocate more resources to ensure the experiments’ success, and such effort is not replicable when policies roll out to the entire country. Third, the presence of sample selection and strategic effort is not fully accounted for by the central government, thus affecting policy learning and distorting national policies originating from the experimentation. Taken together, these results suggest that while China’s bureaucratic and institutional conditions make policy experimentation at such scale possible, the complex political environments can also limit the scope and bias the direction of policy learning.

Suggested Citation

  • Shaoda Wang & David Y. Yang, 2021. "Policy Experimentation in China: the Political Economy of Policy Learning," NBER Working Papers 29402, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29402
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    Cited by:

    1. Cheng, Chen & Xing, Yiqing, 2023. "A screening perspective on experimental zones," China Economic Review, Elsevier, vol. 77(C).
    2. Robert Dur & Arjan Non & Paul Prottung & Benedetta Ricci, 2023. "Who’s Afraid of Policy Experiments?," Tinbergen Institute Discussion Papers 23-027/V, Tinbergen Institute.
    3. Ziming Zhou & Kaihua Zhang & Haitao Wu & Chen Liu & Zhiming Yu, 2023. "Land Transfer or Trusteeship: Can Agricultural Production Socialization Services Promote Grain Scale Management?," Land, MDPI, vol. 12(4), pages 1-21, March.
    4. Gao, Ming & Gu, Qiankun & He, Shijun, 2022. "Place-based policies, administrative hierarchy, and city growth: Evidence from China," Economic Modelling, Elsevier, vol. 115(C).
    5. Jiang, Weijie & Li, Yidong, 2023. "Effect of fiscal decentralization on pollution reduction: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 129(C).

    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • P21 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Planning, Coordination, and Reform

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