产业组织
互补性(分子生物学)
代理(哲学)
竞赛(生物学)
业务
政府(语言学)
经济
随机博弈
微观经济学
营销
生态学
哲学
语言学
遗传学
认识论
生物
作者
Xin Wang,Soo-Haeng Cho,Alan Scheller‐Wolf
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2020-04-29
卷期号:67 (1): 201-219
被引量:108
标识
DOI:10.1287/mnsc.2019.3538
摘要
When a government agency considers tightening a standard on a pollutant, the agency often takes into account the proportion of firms that are able to meet the new standard (what we refer to as the industry’s “voluntary adoption level”) because a higher proportion indicates a more feasible standard. We develop a novel model of regulation in which the probability of a stricter standard being enacted increases with an industry’s voluntary adoption level. In addition, in our model, the benefit of a new green technology is both uncertain and correlated across firms, and firms’ decisions exhibit both strategic substitutability (because the marketing benefit of a new green technology decreases as more firms adopt it) and complementarity (because the stricter standard is more likely to be enforced as more firms adopt it). To analyze such strategic interaction among firms’ decisions under correlated and uncertain payoffs, we use the global game framework recently developed in economics. Our analysis shows that regulation that considers an industry’s voluntary adoption level, compared with regulation that ignores it, can more effectively motivate development of a new green technology. Interestingly, uncertainty in the payoff can, in some situations, help promote development of a new green technology. Finally, we find that more aggressive regulation (a higher probability of enforcing a stricter standard for a given voluntary adoption level) encourages more firms to adopt a green technology once the technology becomes available but may discourage a firm from developing it in the first place when facing intense competition. Therefore, for an industry with intense competition, a government agency should exercise caution about being too aggressive with regulation, which could potentially stifle innovation. This paper was accepted by Vishal Gaur, operations management.
科研通智能强力驱动
Strongly Powered by AbleSci AI