To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Corporate patents have had a significant influence on economic growth. This study analyzes Japanese corporate patents in the electrical sector, from a microscopic, business-history perspective, to clarify the implications of their growth for technology transfer, technological development, the organization of patent management, the formation of a national system of innovation, and the growth of individual inventors. An analysis of the inventors behind corporate patents revealed that international technology transfer and R&D policies underpin an increase in corporate patents. Japanese companies partnering with foreign companies actively combined technology introduction with technological development, making significant contributions to the industry’s technological progress. Companies without foreign partnerships expanded their organized R&D under indirect stimuli within the broader industry-wide technology introduction and R&D movement. The expansion of corporate patents also strengthened the link between technology introduction and development in major firms through the formation of patent departments within each company. This further influences the formation of a national innovation system centered on large corporations and the promotion of R&D across the entire electrical machinery industry. Furthermore, increasing the specifications of foreign companies’ and foreign-affiliated Japanese companies’ patents provided a much greater opportunity with independent inventors.
The $850,000 price for the gene therapy Luxturna is often framed as a story of private profiteering from publicly funded science. This paper challenges that narrative. Pharmaceuticals are a hit-driven industry: most projects fail, so the few successes must earn revenues well in excess of their own direct costs if the portfolio as a whole is to attract investment. Precision medicine intensifies this logic through two core economic challenges: (1) the “sticker shock” of one-time cures, which compress decades of value into a single payment, creating a financing problem more than a value problem; and (2) the “targeting dilemma,” in which precisely targeting drugs to smaller patient groups shrinks the market, requiring higher rewards per treated patient to maintain incentives to innovate. Rather than simply controlling prices, the paper proposes a policy toolkit that includes amortizing payments over time, bundling diagnostics with drugs and insurance, and streamlining regulation to lower development costs. The aim is to preserve innovation while expanding patient access.
To provide methodological enhancement to hospital-based Health Technology Assessment (HTA) by (i) analyzing technical-scientific reports produced by hospital-based HTA (HB-HTA) units and (ii) examining their relation to the identification of unmet medical needs (UMNs).
Methods
This study adopts a qualitative case study design, methodologically enhanced through the analysis of 37 HTA reports – technical-scientific reports (TSRs) – produced by the HTA Unit of the Hospital de Clínicas de Porto Alegre (HCPA), recognized as the leading public hospital in Latin America (according to IntelLat, 2025). Content analysis, guided by international references such as the NEED project, supported the improvement of the evaluation process of TSRs and their related UMNs.
Results
Thirty-nine UMNs were identified across the 37 assessed technologies, predominantly therapeutic (56.8 percent) and diagnostic (32.4 percent), especially in neurology, oncology, and cardiology. Most technologies (89.2 percent) showed additional (Research and Development) R&D needs. The study also demonstrated improvements in the evaluation process of TSRs and the identification of related UMNs.
Conclusions
This study presents a methodological improvement that enables HTA reports to serve as structured sources of institutional intelligence. By identifying UMNs, the approach strengthens the role of HB-HTA in informing future R&D agendas. Replication in other hospital and health system contexts is recommended to consolidate its applicability and broaden its impact.
Painful as it is for a Remain campaigner like me to admit, the EU has always been dire when it comes to policies for supporting innovation and technology. Even more painfully, things have worsened over the past ten years. Longstanding structural weaknesses in EU innovation policy date from well before the Brexit referendum in 2016. The European Union had dismally failed to create a regulatory environment conducive to technological innovation. As I found whenever I visited to Brussels as a No. 10 adviser under David Cameron, the policy instincts of European Commission officials were overwhelmingly rooted in market stability and risk avoidance – values that, while defensible in themselves, often produced unintended consequences for fast-moving sectors such as digital technology and life sciences. Take the EU’s data privacy rules, which were debated and developed for years before being finally implemented in 2018. As Cameron’s team repeatedly warned at the time, the compliance costs fell disproportionately on small and early-stage firms. Even before fines or litigation, the administrative burden for smaller organisations typically ran into tens of thousands of pounds.
Edited by
Jonathan Cylus, European Observatory on Health Systems and Policies,Rebecca Forman, European Observatory on Health Systems and Policies,Nathan Shuftan, Technische Universität Berlin,Elias Mossialos, London School of Economics and Political Science,Peter C. Smith, Imperial College of Science, Technology and Medicine, London
Chapter 3.9 Explains how payment mechanisms should respond to the notion of antibiotics as global public goods. Global public goods are goods and services whose benefits are universal in scope. Antimicrobial resistance (AMR) poses a major health and economic threat world-wide, making novel antibiotics a global public good. Payment mechanisms have an important part to play in encouraging crucial research and development (R&D). Key learning includes that
The antibiotics market is broken. Despite global concerns about the failure of current antibiotics, industry struggles to develop the innovative drugs needed.
The pharmaceuticals market is patent-centric and does not incentivize innovation. The development pipeline is dominated by redeveloped versions of classic compounds than to developing novel antibiotics.
National and global incentive programmes are crucial in making the antibiotics market attractive to industry and in prompting the development of innovative, high-priority antibacterial drugs.
Incentives must address barriers at different stages of the value chain, including the:
– Scientific stage, for example by splitting the roles of the public and private sector in R&D
– Regulatory stage, by speeding up approval processes and harmonizing approaches across countries, and
– Economic stage, countering low commercial rewards compared to other therapeutic areas
Drug regulatory agencies must strike a balance between rapid approval and ensuring that licensed drugs meet quality, safety, and efficacy standards.
International coordination is key to reviving the antibiotics market and development pipeline.
Early health technology assessment (HTA) has recently been defined as a process for evaluating the “potential value” of technologies at early development stages. This analysis examines how value is characterized in early stages compared to standard HTA. Using the MAPS framework (Methods, Attributes, Procedures, and Social Preferences), the findings indicate that a broader value framework may be applicable to early HTA relative to standard HTA. This framework includes systematic consideration of attributes beyond health-related benefits, such as real option value and innovation, as well as additional methods like fiscal impact analysis and social return on investment. Additionally, there is potential for less variation in early HTA processes globally, given that these assessments are less tied to local funding decisions. Finally, the role of social preferences in early HTA may also involve considering trade-offs and impact modifiers that are particularly relevant in initial stages, and which deserve further research.
Xiaolan Fu, University of Oxford,George Yip, Imperial College Business School,Xuechen Ding, Beijing Technology and Business University,Wei Wei, University of Sussex
This chapter describes Tencent’s development history, its transformation of corporate strategies, its core business distribution, the adjustments it has made to organisational structure, and its innovative developments in both product offerings and the technology it uses, describing how all of this happened in the context of the development of the internet industry in China over the past twenty-five years. The chapter summarises the innovation milestones of Tencent’s products and services, such as the multiple iterations of the instant messaging services QQ and WeChat, and shows how it developed its businesses through major strategic investments and venture capital in many fields. It also describes Tencent’s R&D endeavours and provides a detailed picture of its technological innovation over the past two decades. The chapter also compares Tencent’s patent applications with those of other foreign and domestic companies, showing Tencent’s leading position globally and domestically in this category.
Edited by
Jonathan Cylus, European Observatory on Health Systems and Policies,Rebecca Forman, European Observatory on Health Systems and Policies,Nathan Shuftan, Technische Universität Berlin,Elias Mossialos, London School of Economics and Political Science,Peter C. Smith, Imperial College of Science, Technology and Medicine, London
Chapter 3.4 explores how pharmaceutical care is financed. Paying for medicines includes how the end-purchase of existing medicines is managed but also the way investment in research and development (R&D) is handled. Key learning includes that
Pharmaceutical innovation draws on substantial public and private resources.
– The public sector primarily supports early-stage research, regulates the industry and incentivizes development.
– The private sector is typically central to development, commercialization, manufacture and marketing. It seeks high profit margins and is not always transparent or responsive to policy priorities.
Novel and specialized therapeutics as well as population ageing are likely to accelerate medicines expenditures. This requires careful management of pricing and reimbursement.
Policy-makers can leverage a mix of push and pull strategies to align industry efforts with societal need including through
– Clear communication of health system priorities
– Transparent incentive and pricing systems and measures to enhance R&D efficiency
– Payment mechanisms that foster equity and sustainability
– Cross-country collaboration including on preparedness, procurement and pricing transparency.
This chapter focuses on China’s rise as an innovation leader. It examines the key actors in China’s innovation system and highlights the prime role of the state in China’s science and technology trajectory. It also underscores the ‘innovation chain’ concept recently embraced by China’s leadership. The chapter then focuses on the key role of technology hubs and the increased participation of Chinese enterprises (especially tech firms) in the transformation of China into a technology and innovation powerhouse and the birthplace of unicorns.
This paper assesses the impact of federal grants for research and development (R&D) on state R&D investment in the United States. We find that federal grants for academic R&D do not significantly influence state allocations to academic institutions from 2006 to 2021. By contrast, R&D performed by agencies of the state government is estimated to grow by $0.35 with each additional dollar of federal support. We argue that these divergent results reflect the localized nature of benefits generated from R&D performed by state government agencies compared to university-based research. A computational text analysis of recent federal R&D awards to academic institutions and state agencies corroborates this hypothesis.
Translating emerging health technologies towards adoption and patient benefit requires timely and effective research and development decisions. Early health technology assessment has a key role to play in supporting these decisions. A new consensus definition of early health technology assessment is a welcome contribution to help bring these activities toward wider use in the field. In parallel, the opportunities to perform early health technology assessment activities are increasing as new types of health technologies begin to enter healthcare systems globally. A greater focus on transparency of reporting, improving awareness around how early health technology assessment can impact decision-making, increased resourcing for these activities, expanding training for analysts, and encouraging collaboration between individuals across healthcare systems will be vital to strengthen the uptake of early health technology assessment from this point forward.
We use a combination of theory and experiment to study the incentives for firms to share knowledge when they engage in research and development (R&D) in an uncertain environment. We consider both symmetric and asymmetric starting points with regards to the amount of initial knowledge firms have before conducting R&D and look at how differences in starting positions affect the willingness of firms to share knowledge. We investigate when and if firms find R&D cooperation beneficial and how investment in R&D is affected by the outcome of the sharing decisions. The experimental evidence shows that overall subjects tend to behave consistently with theoretical predictions for the sharing of knowledge, although leaders who are not compensated by a side payment from laggards are more willing to share than predicted by the theory, and leaders who are compensated are less willing. The data on investment suggests less investment with sharing than without, consistent with theory. Compared to exact numerical predictions, there is overinvestment or underinvestment except for symmetric firms under no sharing. All cases of overinvestment and underinvestment, regardless of sharing or not and regardless of starting positions, are well explained by smoothed-out best (quantal) responses.
This chapter explores the gap between technology’s promise and our ability to realize the global public goods of vaccines and medicines. This gap stems from significant market disincentives in the R&D process, along with clinical trial challenges and regulatory hurdles. Yet a range of innovative financing strategies to delink R&D costs from vaccine and drug prices, along with well-designed and ethically run clinical trials, can fill this gap, facilitating development of urgently needed medical countermeasures.
Income tax systems commonly contain a broad range of tax incentives. These incentives are tax expenditures as they are an indirect form of government spending designed to benefit targeted taxpayers. Based on the income tax formula, the principal ways that tax incentives may be provided are by granting special exemptions, deductions, tax offsets or reduced tax rates. This chapter examines a number of intricate tax incentive programs that have been established by the Australian Government to encourage certain forms of investment. In particular, it examines various programs that support investment in start-ups and other entrepreneurial ‘small and medium enterprises’ (‘SMEs’). These entities have the potential for rapid growth and play a key role in Australia’s innovation system. However, because of their risky nature, they often find it difficult to borrow money and need to rely heavily on equity finance. This form of finance is known as ‘venture capital’ and comes from two main sources: angel investors (ie wealthy entrepreneurs and business people) and venture capital funds (ie funds run by professional fund managers).
This chapter discusses the pharmaceutical industry, with specific attention given to the role of intellectual property and R&D. The chapter also explains (broadly) the process by which a new drug is approved by the Food and Drug Administration. The key concept in the chapter is the tradeoff inherent in intellectual property protections: stronger protections spur more innovation but at the cost of higher prices for a longer period of time. On the other hand, weaker protections allow for more affordable products more quickly, but at the cost of reduced innovation. The end of chapter supplement explores the role of international trade agreements in solving research and development coordination problems.
This chapter considers how innovation policy and health law – including food and drug regulation, healthcare reimbursement, and direct R&D subsidies – have both encouraged and impeded the development and allocation of new technologies in the fight against COVID-19. First, an expansive diagnostic testing program for COVID-19 is critical both to slow the spread of the disease and to ensure that future outbreaks can be detected early. The disastrous US testing response represents both an individual regulatory failure and a failure of coordination among agencies including the Food and Drug Administration (FDA), Centers for Disease Control (CDC), and Centers for Medicare and Medicaid Services (CMS). On the treatment side, drugmakers have rushed to identify new and existing compounds for potential COVID-19 efficacy against the backdrop of potentially lengthy and expensive clinical trials. In response, the FDA has granted Emergency Use Authorizations for several of these drugs, which requires balancing risks and harms on only minimal evidence. The intersection between incentives and regulatory oversight has profoundly shaped the innovation landscape for new COVID-19 treatments, such as by permitting widespread use in ways that do not improve the evidence base about which therapeutics are most effective. Finally, extinguishing COVID-19 will require the development of a broadly effective vaccine. This is an opportunity to develop and implement novel ex post rewards, including reimbursement incentives per vaccination to promote vaccine uptake. Each of these areas reveals important lessons to help policymakers better prepare for the next pandemic.
In the years following FDA approval of direct-to-consumer, genetic-health-risk/DTCGHR testing, millions of people in the US have sent their DNA to companies to receive personal genome health risk information without physician or other learned medical professional involvement. In Personal Genome Medicine, Michael J. Malinowski examines the ethical, legal, and social implications of this development. Drawing from the past and present of medicine in the US, Malinowski applies law, policy, public and private sector practices, and governing norms to analyze the commercial personal genome sequencing and testing sectors and to assess their impact on the future of US medicine. Written in relatable and accessible language, the book also proposes regulatory reforms for government and medical professionals that will enable technological advancements while maintaining personal and public health standards.
This article uses data from several publicly available databases to show that the distribution of intellectual property for frontier technologies, including those useful for sustainable development, is very highly skewed in favor of a handful of developed countries. The intellectual property rights (IPR) regime as it exists does not optimize the global flow of technology and know-how for the attainment of the sustainable development goals and is in need of updating. Some features of the Fourth Industrial Revolution imply that the current system of patents is even more in need of reform than before. COVID-19 vaccines and therapies and the vast inequality in access to these has highlighted the costs of inaction. We recommend several policy changes for the international IPR regime. Broadly, these fall into three categories: allowing greater flexibility for developing countries, reassessing the appropriateness of patents for technologies that may be considered public goods, and closing loopholes that allow for unreasonable intellectual property protections.
There is an increasing gap between the policy cycle’s speed and that of technological and social change. This gap is becoming broader and more prominent in robotics, that is, movable machines that perform tasks either automatically or with a degree of autonomy. This is because current legislation was unprepared for machine learning and autonomous agents. As a result, the law often lags behind and does not adequately frame robot technologies. This state of affairs inevitably increases legal uncertainty. It is unclear what regulatory frameworks developers have to follow to comply, often resulting in technology that does not perform well in the wild, is unsafe, and can exacerbate biases and lead to discrimination. This paper explores these issues and considers the background, key findings, and lessons learned of the LIAISON project, which stands for “Liaising robot development and policymaking,” and aims to ideate an alignment model for robots’ legal appraisal channeling robot policy development from a hybrid top-down/bottom-up perspective to solve this mismatch. As such, LIAISON seeks to uncover to what extent compliance tools could be used as data generators for robot policy purposes to unravel an optimal regulatory framing for existing and emerging robot technologies.
The inclusion of antimicrobial resistance (AMR) and increased research and development (R&D) capabilities in the most recent outline of the World Health Organization’s (WHO’s) international pandemic instrument signals an opportunity to reshape pharmaceutical R&D system in favour of antimicrobial product development. This article explains why the current innovation ecosystem has disadvantaged the creation of antimicrobial products for human use. It also highlights how the COVID-19 pandemic experience can inform and stimulate international cooperation to implement innovative R&D incentives to bring new, life-saving antimicrobial products to the market.