Optimal Subsidy Policy for Innovation: Technology Push and Demand Pull

补贴 产业组织 业务 经济 微观经济学 市场经济
作者
MyeongHun Lee,Hyun‐Soo Ahn,Hakjin Chung,Sang Won Kim
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:1
标识
DOI:10.2139/ssrn.3986593
摘要

Government plays a critical role in the development and adoption of new technology with social benefits. While there are many policies available under different forms and names, the two most popular subsidy policies are a technology-push policy, which awards manufacturers for R&D efforts, and a demand-pull policy, which directly awards customers. We study how the government should utilize a mix of push and pull subsidies to maximize the benefit from new technology and increase customer adoption when there are multiple manufacturers in the market. In particular, we examine how technology spillovers influence the optimal subsidy and resultant market outcomes. We provide a complete characterization of an optimal subsidy policy as a function of the technology benefit and derive the resultant equilibrium outcomes. We find that while the government will spend more for a more beneficial technology, the push and pull subsidies themselves change non-monotonically in technology benefit. For instance, the optimal push subsidy does not always decrease in benefit and the optimal pull subsidy given to early adopters does not always increase in benefit. We find that the level of technology spillover critically affects the firm's incentive to invest and the optimal subsidy. On the contrary to the conventional wisdom that an increase in the spillover level will discourage a firm's R&D investment, we find that the spillover can induce more firms to invest in R&D. Using analytical and numerical results, we examine when it is most beneficial to use a mix of push and pull subsidy policies.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
慕青应助马士全采纳,获得10
刚刚
xuzj应助科研通管家采纳,获得10
刚刚
Rubby应助科研通管家采纳,获得30
1秒前
SciGPT应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
shiizii应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
ludong_0应助科研通管家采纳,获得10
1秒前
YeeYee发布了新的文献求助10
1秒前
冷酷的松思完成签到,获得积分10
1秒前
zgt01发布了新的文献求助10
2秒前
zhang完成签到,获得积分10
2秒前
江中完成签到 ,获得积分10
4秒前
4秒前
阿玖完成签到 ,获得积分10
5秒前
jiaolulu发布了新的文献求助10
7秒前
踏雪飞鸿完成签到,获得积分10
8秒前
hannah完成签到,获得积分10
8秒前
songvv发布了新的文献求助10
9秒前
一一一应助Bin_Liu采纳,获得10
10秒前
麻果完成签到,获得积分10
12秒前
OER完成签到,获得积分10
12秒前
伦语完成签到,获得积分20
12秒前
中陆完成签到,获得积分10
13秒前
14秒前
莫西莫西完成签到,获得积分10
16秒前
18秒前
量子星尘发布了新的文献求助10
19秒前
xjh完成签到,获得积分10
19秒前
19秒前
lbnzd8g完成签到,获得积分10
21秒前
中海完成签到,获得积分10
21秒前
Ww完成签到,获得积分10
21秒前
伶俐不二完成签到,获得积分10
21秒前
XIAOJU_U完成签到 ,获得积分10
22秒前
马士全发布了新的文献求助10
23秒前
MQ完成签到,获得积分10
23秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038201
求助须知:如何正确求助?哪些是违规求助? 3575940
关于积分的说明 11373987
捐赠科研通 3305747
什么是DOI,文献DOI怎么找? 1819274
邀请新用户注册赠送积分活动 892662
科研通“疑难数据库(出版商)”最低求助积分说明 815022