Policy Experimentation in China: the Political Economy of Policy Learning

政策学习 政治 中国 政治学 政治经济学 经济 经济体制 经济 计算机科学 机器学习 法学
作者
Shaoda Wang,David Y. Yang
出处
期刊:National Bureau of Economic Research 被引量:82
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
刚刚
刚刚
欧阳孤云完成签到,获得积分10
2秒前
wanlu发布了新的文献求助10
2秒前
3秒前
嘻嘻完成签到,获得积分10
4秒前
fsf完成签到,获得积分10
4秒前
Jasper应助啦啦采纳,获得10
5秒前
WqLiu发布了新的文献求助10
5秒前
6秒前
liuyifei完成签到,获得积分10
6秒前
hug沅沅发布了新的文献求助10
6秒前
7秒前
科研通AI6.2应助Le采纳,获得10
8秒前
ZZ完成签到,获得积分10
8秒前
卧待春雷完成签到,获得积分10
8秒前
9秒前
10秒前
10秒前
这个郭我背了完成签到,获得积分10
10秒前
yoyo20012623完成签到,获得积分10
10秒前
dodonaomi发布了新的文献求助10
10秒前
Richard发布了新的文献求助10
11秒前
Ascent完成签到,获得积分10
11秒前
runrun发布了新的文献求助10
12秒前
Michael完成签到,获得积分10
12秒前
双木完成签到 ,获得积分10
12秒前
科研通AI6.4应助发个15分的采纳,获得10
12秒前
13秒前
朴实八宝粥完成签到,获得积分10
13秒前
儒雅谷芹完成签到,获得积分10
14秒前
科研通AI6.4应助Zyzjixi采纳,获得10
15秒前
太叔捕完成签到,获得积分10
15秒前
17秒前
17秒前
17秒前
18秒前
18秒前
dodonaomi完成签到,获得积分10
19秒前
cm5257发布了新的文献求助10
21秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
ズームレンズの光学設計に関する研究 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7277161
求助须知:如何正确求助?哪些是违规求助? 8898168
关于积分的说明 18816557
捐赠科研通 6949759
什么是DOI,文献DOI怎么找? 3206458
关于科研通互助平台的介绍 2377437
邀请新用户注册赠送积分活动 2181341