已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Policy Experimentation in China: the Political Economy of Policy Learning

官僚主义 激励 政治 中国 政府(语言学) 样品(材料) 政治学 发展中国家 政策分析 公共经济学 经济 经济增长 公共行政 市场经济 色谱法 语言学 哲学 化学 法学
作者
Shaoda Wang,David Y. Yang
出处
期刊:Social Science Research Network
标识
DOI:10.3386/w29402
摘要

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. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
差不多就行的小蓝完成签到,获得积分10
刚刚
Zevin发布了新的文献求助10
2秒前
奋斗小青年完成签到 ,获得积分10
3秒前
闾丘惜萱完成签到,获得积分10
4秒前
5秒前
七彩琉璃公主完成签到,获得积分10
9秒前
17秒前
脑洞疼应助Xuezhuoxin采纳,获得10
19秒前
24秒前
25秒前
时尚听筠完成签到,获得积分10
25秒前
Zevin完成签到,获得积分10
26秒前
小树苗完成签到,获得积分10
26秒前
大模型应助科研通管家采纳,获得10
27秒前
无花果应助科研通管家采纳,获得10
27秒前
酷波er应助科研通管家采纳,获得10
27秒前
Jasper应助科研通管家采纳,获得10
27秒前
深情安青应助科研通管家采纳,获得10
27秒前
SciGPT应助科研通管家采纳,获得50
27秒前
Ava应助科研通管家采纳,获得10
27秒前
江小姜发布了新的文献求助10
28秒前
zzz发布了新的文献求助10
28秒前
28秒前
31秒前
阳光翩跹发布了新的文献求助10
32秒前
mumu发布了新的文献求助10
32秒前
踏实的傲白完成签到 ,获得积分10
34秒前
江小姜完成签到,获得积分20
37秒前
Hulda发布了新的文献求助10
37秒前
Akim应助mumu采纳,获得10
38秒前
43秒前
44秒前
45秒前
Hulda完成签到 ,获得积分10
48秒前
Xuuuurj发布了新的文献求助10
49秒前
老迟到的小蘑菇完成签到,获得积分10
51秒前
56秒前
56秒前
58秒前
李爱国应助完美的凌旋采纳,获得10
59秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Teaching Social and Emotional Learning in Physical Education 900
The three stars each : the Astrolabes and related texts 550
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
Chinese-English Translation Lexicon Version 3.0 500
少脉山油柑叶的化学成分研究 500
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2400109
求助须知:如何正确求助?哪些是违规求助? 2100825
关于积分的说明 5296461
捐赠科研通 1828480
什么是DOI,文献DOI怎么找? 911334
版权声明 560198
科研通“疑难数据库(出版商)”最低求助积分说明 487125