Research and development (R&D) comprises organized, creative work intended to expand knowledge and develop new applications of existing knowledge. It includes basic research, applied research, and experimental development, covering natural sciences, engineering, social sciences, and humanities. R&D is an important input into innovation, but it is not synonymous with innovation: research may produce knowledge without an immediate application, while innovations can arise through activities that do not qualify as R&D. International statistical definitions are established in the OECD’s Frascati Manual. (ncses.nsf.gov)
Definition and scope
The Frascati framework identifies five criteria that an activity must satisfy to count as R&D: novelty, creativity, uncertainty, systematic organization, and transferability or reproducibility. These distinguish research from routine work. An activity must seek new findings, involve original concepts, and have an outcome—or resource requirement—that is not fully predictable. It must also be planned and produce knowledge that can potentially be communicated or reproduced, even when commercial confidentiality restricts disclosure. (ncses.nsf.gov)
R&D is therefore defined by the character of the work rather than by an organization’s name or the novelty of its product to customers. Routine quality control, ordinary product testing, and standard software maintenance generally fall outside its scope. In computer science, developing new theories or algorithms can qualify, whereas implementing established methods or routinely debugging software generally does not. Relevant activities may qualify when they form an integral part of a genuine research project. (ncses.nsf.gov)
Main types
Basic research seeks understanding of the underlying foundations of phenomena without a particular application in view. It may involve theoretical analysis or experimentation, examining properties and relationships and testing explanations. Its potential uses may be unknown when the work begins. (oecd.org)
Applied research also generates new knowledge, but is directed toward a specific practical objective. It may investigate how an established scientific finding could solve a technical problem, or determine which approaches are suitable for a defined purpose. (oecd.org)
Experimental development draws on research and practical experience to generate additional knowledge aimed at new or improved products and processes. Experimental prototypes and pilot operations may qualify when their purpose is to resolve remaining uncertainties. Development in this statistical sense is narrower than the entire commercial process of bringing a product to market. (oecd.org)
These categories describe purposes rather than a compulsory sequence. Research, practical development, and implementation can interact through repeated exchanges of information. The Oslo Manual treats R&D as one among several innovation activities, alongside engineering, design, training, and other work. An invention or research result becomes an innovation only when the relevant new or improved product or process is made available or put into use. (oecd.org)
Institutions and funding
R&D statistics distinguish four main domestic performing sectors: businesses, higher education, government, and private nonprofit organizations. Research can be undertaken internally or commissioned from another organization. Consequently, the institution financing a project need not be the institution performing it; statistics distinguish sources of funds from research performers. This distinction is important when tracing public support for privately performed research or business funding of university projects. (oecd.org)
Public support includes direct institutional funding, competitive grants, procurement of research services, and tax incentives. Competitive research funding often uses peer review to assess proposals, while institutional funding supports research providers more broadly. Tax incentives reduce firms’ effective research costs; direct funding can support particular projects or objectives. These instruments differ in how closely funding decisions are connected to designated research priorities. (oecd.org)
Economic significance
In economics, R&D is studied as a source of technological change, productivity improvements, and economic growth. Endogenous growth theory places knowledge creation within the economic system, linking research incentives and innovation to longer-term productivity. Research outcomes are uncertain, and economic effects may emerge well after the original expenditure. (elibrary.imf.org)
Research can create knowledge spillovers when discoveries benefit organizations or countries beyond their originators. These benefits constitute a positive externality: the wider social value of research need not be fully captured by the organization paying for it. Basic research can have particularly broad and durable applications across industries and national borders. Such spillovers are an important economic rationale for public research support. (imf.org)
The economic use of discoveries also depends on institutions and capabilities outside research itself. Education, financial systems, and international knowledge exchange influence how scientific advances translate into productive applications. Patents and other forms of intellectual property are relevant to the ownership and exchange of research-derived knowledge, although patent records capture only part of innovative activity. (imf.org)
Measurement and interpretation
A central indicator is gross domestic expenditure on R&D, or GERD: expenditure on research performed within a country, including current and capital costs. National R&D intensity expresses this expenditure as a percentage of gross domestic product. Personnel are measured through headcounts and full-time equivalents; someone spending half of their working time on R&D contributes 0.5 full-time equivalent. Domestic performance measures exclude research undertaken abroad, even when domestic institutions finance it. (doi.org)
Expenditure and personnel measure inputs, not research quality or economic success. Publications, patents, implemented innovations, and subsequent outcomes provide different information. Evaluation must distinguish resources committed, activities conducted, outputs generated, and effects achieved; assessing impact additionally requires comparison with a plausible counterfactual. A high spending ratio alone therefore does not establish that research is effective or that it caused observed productivity growth. (oecd.org)