About | HeinOnline Law Journal Library | HeinOnline Law Journal Library | HeinOnline
LOG IN
LOG IN

14 U. Pa. Asian L. Rev. 41 (2019 )
Designing R&D Incentives in Hong Kong

handle is hein.journals/etalr14 and id is 42 raw text is: DESIGNING R&D INCENTIVES IN HONG KONG Noam Noked* The Hong Kong government has recently enacted legislation granting tax benefits for R&D expenses to boost investment in R&D in Hong Kong. This Article analyzes what would be the optimal design of R&D incentives in Hong Kong, and concludes that the new tax benefits for R&D are unlikely to increase R&D investment in Hong Kong in the most cost-effective manner. The Hong Kong government should consider replacing these tax benefits with other, more effective R&D subsidies. INTRODUCTION ..........................................42 I. BACKGROUND, SUBSIDIES AND TAX BENEFITS ..............46 II. DESIGNING R&D TAX BENEFITS ........................49 A. General Principles.......................49 B. Should R&D Subsidies Be Structured as Tax Benefits?.....50 C. Evaluation of R&D Tax Benefits in Hong Kong............56 D. Alternative Policies .....................61 III. CONCLUDING REMARKS ......................... ...... 62 Assistant Professor, Faculty of Law, The Chinese University of Hong Kong. Published by Penn Law: Legal Scholarship Repository,

What Is HeinOnline?

HeinOnline is a subscription-based resource containing thousands of academic and legal journals from inception; complete coverage of government documents such as U.S. Statutes at Large, U.S. Code, Federal Register, Code of Federal Regulations, U.S. Reports, and much more. Documents are image-based, fully searchable PDFs with the authority of print combined with the accessibility of a user-friendly and powerful database. For more information, request a quote or trial for your organization below.



Short-term subscription options include 24 hours, 48 hours, or 1 week to HeinOnline.

Purchase Access

Contact us for annual subscription options:

Contact Us

Already a HeinOnline Subscriber?

Log In

profiles profiles most