1932

Abstract

R&D is slow magic. It takes many years before research investments begin to affect productivity, but then they can affect productivity for a long time. Many economists get this wrong. Here, we revisit the conceptual foundations for R&D lag models used to represent the temporal links between research investments and impact, review prevalent practice, and document and discuss a range of evidence on R&D lags in agriculture and other industries. Our theory and evidence consistently support the use of longer lags with a different overall lag profile than is typically imposed in studies of industrial R&D and government compilations of R&D knowledge stocks. Many studies systematically fail to recognize the many years of investment and effort typically required to create a new technology and bring it to market and the subsequent years as the technology is diffused and adopted. Consequential distortions in the measures and economic understanding are implied.

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2023-10-05
2024-04-29
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Literature Cited

  1. Acquaye AKA. 2000. Parametric and non-parametric measures of state-level productivity growth and technical change in U.S. agriculture: 1949–1991 PhD Thesis, Univ. Calif. Davis:
  2. Adams JD. 1990. Fundamental stocks of knowledge and productivity growth. J. Political Econ. 98:4673–702
    [Google Scholar]
  3. Alston JM 2022. Woke farm and food policies in the post-truth era: calamitous consequences for people and the planet. Modern Agricultural and Resource Economics and Policy: Essays in Honor of Gordon C. Rausser H de Gorter, JJ McCluskey, J Swinnen, D Zilberman 105–36. New York: Springer
    [Google Scholar]
  4. Alston JM, Andersen MA, James JS, Pardey PG. 2010. Persistence Pays: U.S. Agricultural Productivity Growth and the Benefits from Public R&D Spending New York: Springer
  5. Alston JM, Andersen MA, James JS, Pardey PG. 2011. The economic returns to U.S. public agricultural research. Am. J. Agric. Econ. 93:51257–77
    [Google Scholar]
  6. Alston JM, Craig BJ, Pardey PG. 1998. Dynamics in the creation and depreciation of knowledge, and the returns to research EPTD Disc. Pap. 35, Int. Food Policy Res. Inst. Washington, DC:
  7. Alston JM, Fuller KB, Kaplan JD, Tumber KP. 2015. Assessing the returns to R&D on perennial crops: the costs and benefits of Pierce's disease research in the California winegrape industry. Aust. J. Agric. Resour. Econ. 59:195–115
    [Google Scholar]
  8. Alston JM, Norton GW, Pardey PG. 1995. Science Under Scarcity: Principles and Practice for Agricultural Research Evaluation and Priority Setting Ithaca, NY: Cornell Univ. Press
  9. Alston JM, Pardey PG. 2001. Attribution and related problems in assessing the returns to agricultural R&D. Agric. Econ. 25:2–3141–52
    [Google Scholar]
  10. Alston JM, Pardey PG. 2021. The economics of agricultural innovation. Handbook of Agricultural Economics, Vol. 5 CB Barrett, DR Just 3895–980 Amsterdam: Elsevier
    [Google Scholar]
  11. Alston JM, Pardey PG, Ruttan VW. 2008. Research lags revisited: concepts and evidence from U.S. agriculture Staff Pap. P08–14, Univ. Minn., Dept. Appl. Econ. St. Paul, MN:
  12. Alston JM, Sambucci O. 2019. Grapes in the world economy. The Grape Genome D Cantu, AM Walker 1–24. Cham, Switz: Springer Nature
    [Google Scholar]
  13. Alston JM, Wyatt TJ, Pardey PG, Marra MC, Chan-Kang C. 2000. A meta-analysis of rates of return to agricultural R&D: Ex pede Herculem? Res. Rep. 113, Int. Food Policy Res. Inst. Washington, DC:
  14. Andersen MA. 2015. Public investment in U.S. agricultural R&D and the economic benefits. Food Policy 51:38–43
    [Google Scholar]
  15. Andersen MA, Song W. 2013. The economic impact of public agricultural research and development in the United States. Agric. Econ. 44:3287–95
    [Google Scholar]
  16. Baldos U, Viens F, Hertel TW, Fuglie K. 2019. R&D spending, knowledge capital, and agricultural productivity growth: a Bayesian approach. 2019. Am. J. Agric. Econ. 101:1291–310
    [Google Scholar]
  17. Ballester M, Garcia-Ayuso M, Livnat J. 2003. The economic value of the R&D intangible asset. Eur. Acc. Rev. 21:4605–33
    [Google Scholar]
  18. Barton GT, Cooper MR. 1948. Relation of agricultural production to inputs. Rev. Econ. Stat. 2:117–26
    [Google Scholar]
  19. Bernstein JI, Mamuneas TP. 2006. R&D depreciation, stocks, user costs and productivity growth for US R&D intensive industries. Struct. Change Econ. Dyn. 17:70–98
    [Google Scholar]
  20. Bloom N, Jones CI, Van Reenen J, Webb M. 2020. Are ideas getting harder to find?. Am. Econ. Rev. 110:4104–44
    [Google Scholar]
  21. BLS (Bur. Lab. Stat.) 1989. The impact of research and development on productivity growth Bull. 2331, Bur. Lab. Stat., US Dep. Lab. Washington, DC:
  22. Boulding KE. 1966. The economics of knowledge and the knowledge of economics. Am. Econ. Rev. 56:1–13
    [Google Scholar]
  23. Caballero RJ, Jaffe AB 1993. How high are the giants’ shoulders: an empirical assessment of knowledge spillovers and creative destruction in a model of economic growth. NBER Macroeconomics Annual 1993, Vol. 8 O Blanchard, S Fischer Cambridge MA: MIT Press
    [Google Scholar]
  24. Carson CS, Grimm BT, Moylan CE. 1994. A satellite account for research and development. Surv. Curr. Bus. 1994:Nov.37–71
    [Google Scholar]
  25. Chai Y, Pardey PG, Silverstein KAT. 2022a. Scientific selection: a century of increasing crop varietal diversity in U.S. wheat. PNAS 119:51e2210773119
    [Google Scholar]
  26. Chai Y, Senay S, Horvath D, Pardey P. 2022b. Multi-peril pathogen risks to global wheat production: a probabilistic loss and investment assessment. Front. Plant Sci. 13:1034600
    [Google Scholar]
  27. CHM (Comput. Hist. Mus.) 2022. Timeline Comput. Hist. Mus., Mountain View CA: https://www.computerhistory.org/siliconengine/timeline/
  28. Corrado C, Hulten C, Sichel D. 2009. Intangible capital and US economic growth. Rev. Income Wealth 55:3661–85
    [Google Scholar]
  29. Crouzet N, Eberly JC, Eisfeldt AL, Papanikolaou D. 2022. The economics of intangible capital. J. Econ. Persp. 36:329–52
    [Google Scholar]
  30. Dixon R. 1980. Hybrid corn revisited. Econometrica 48:61451–61
    [Google Scholar]
  31. Dolgin E. 2021. The tangled history of mRNA vaccines. Nature 597:7876318–24
    [Google Scholar]
  32. Eastwood C, Klerkx L, Nettle R. 2017. Dynamics and distribution of public and private research and extension roles for technological innovation and diffusion: case studies of the implementation and adaptation of precision farming technologies. J. Rural Stud. 49:1–12
    [Google Scholar]
  33. Enos JL. 1962. Invention and innovation in the petroleum refining industry. The Rate and Direction of Inventive Activity: Economic and Social Factors RE Nelson 299–322. Princeton, NJ: Princeton Univ. Press
    [Google Scholar]
  34. Evenson RE. 1967. The contribution of agricultural research to production. J. Farm Econ. 49:51415–25
    [Google Scholar]
  35. Evenson RE 2001. Economic impacts of agricultural research and extension. Handbook of Agricultural Economics, Vol. 1A, Agricultural Production BL Gardner, GC Rausser 573–628. New York: Elsevier
    [Google Scholar]
  36. Evenson RE, Kislev Y. 1975. Agricultural Research and Productivity New Haven, CT: Yale Univ. Press
  37. Feder G, O'Mara GT 1982. On information and innovation diffusion: a Bayesian approach. Am. J. Agric. Econ. 64:1145–47
    [Google Scholar]
  38. Fuglie KO. 2018. R&D capital, R&D spillovers, and productivity growth in world agriculture. Appl. Econ. Persp. Policy 40:3421–44
    [Google Scholar]
  39. Fuglie KO, Clancy MW, Heisey P, MacDonald J. 2017. Research, productivity, and output growth in U.S. agriculture. J. Agric. Appl. Econ. 49:4514–54
    [Google Scholar]
  40. Griliches Z. 1957. Hybrid corn: an exploration in the economics of technological change. Econometrica 25:501–22
    [Google Scholar]
  41. Griliches Z. 1958. Research costs and social returns: hybrid corn and related innovations. J. Political Econ. 66:5419–31
    [Google Scholar]
  42. Griliches Z. 1964. Research expenditures, education and the aggregate agricultural production function. Am. Econ. Rev. 54:6961–74
    [Google Scholar]
  43. Griliches Z. 1979. Issues in assessing the contribution of R&D to productivity growth. Bell J. Econ. 10:192–116
    [Google Scholar]
  44. Griliches Z 1980. Returns to research and development expenditures in the private sector. New Developments in Productivity Measurement and Analysis J Kendrick, B Vaccara 419–62. Chicago, IL: Univ. Chicago Press
    [Google Scholar]
  45. Griliches Z. 1986. Productivity, R&D, and basic research at the firm level in the 1970s. Am. Econ. Rev. 76:141–54
    [Google Scholar]
  46. Griliches Z. 1994. Productivity, R&D, and the data constraint. Am. Econ. Rev. 84:11–23
    [Google Scholar]
  47. Griliches Z. 1998. R&D and productivity: the unfinished business. R&D and Productivity: The Econometric Evidence Z Griliches 269–83. Chicago, IL: Univ. Chicago Press
    [Google Scholar]
  48. Gross R, Hanna R, Gambhir A, Heptonstall P, Speirs J. 2018. How long does innovation and commercialisation in the energy sectors take? Historical case studies of the timescale from invention to widespread commercialisation in energy supply and end use technology. Energy Policy 123:682–99
    [Google Scholar]
  49. Hall BH. 2005. Measuring the returns to R&D: the depreciation problem. Ann. Econ. Stat. 79/80:341–82
    [Google Scholar]
  50. Hall BH. 2007. Measuring the returns to R&D: the depreciation problem NBER Work. Pap. 13473
  51. Hall BH, Griliches Z, Hausman JA. 1986. Patents and R&D: Is there a lag?. Int. Econ. Rev. 27:2265–83
    [Google Scholar]
  52. Hall BH, Mairesse J, Mohnen P 2010. Measuring the returns to R&D. Handbook of the Economics of Innovation, Vol. 2 BH Hall, N Rosenberg 1033–82. Amsterdam: Elsevier
    [Google Scholar]
  53. Huang N, Diewert E. 2007. Estimation of R&D depreciation rates for the U.S. manufacturing sector and four knowledge intensive industries Paper prepared for the Sixth Annual Ottawa Productivity Workshop, Bank of Canada Ottawa: May 14–15
  54. Huffman WE 2018. Public agricultural research and its contributions to agricultural productivity. From Agriscience to Agribusiness Theories, Policies and Practices in Technology Transfer and Commercialization N Kalaitzandonakes, EG Carayannis, E Grigoroudis, S Rozakis 445–63. Cham, Switz: Springer Nature
    [Google Scholar]
  55. Huffman WE, Evenson RE. 1989. Supply and demand functions for multiproduct U.S. cash grain farms: biases caused by research and other policies. Am. J. Agric. Econ. 71:761–73
    [Google Scholar]
  56. Huffman WE, Evenson RE. 1992. Contributions of public and private science and technology to U.S. agricultural productivity. Am. J. Agric. Econ. 74:752–56
    [Google Scholar]
  57. Huffman WE, Evenson RE. 1993. Science for Agriculture: A Long-Term Perspective Ames, IA: Iowa State Univ. Press
  58. Jin Y, Huffman WE. 2016. Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence. Agric. Econ. 47:115–31
    [Google Scholar]
  59. Jones BF, Summers LH 2020. A calculation of the social returns to innovation. Innovation and Public Policy A Goolsbee, BF Jones 13–60. Chicago, IL: Univ. Chicago Press
    [Google Scholar]
  60. Jones CI. 2022. The past and future of economic growth: a semi-endogenous perspective. Annu. Rev. Econ. 14:125–52
    [Google Scholar]
  61. Just RE, Alston JM, Zilberman D, eds. 2006. Regulating Agricultural Biotechnology: Economics and Policy New York: Springer-Verlag
  62. Kalaitzandonakes N, Alston JM, Bradford KJ 2006. Compliance costs for regulatory approval of new biotech crops. Regulating Agricultural Biotechnology: Economics and Policy RE Just, JM Alston, D Zilberman 37–57. New York: Springer-Verlag
    [Google Scholar]
  63. Khan F, Salim R, Bloch H, Islam N. 2017. The public agricultural R&D and productivity growth in Australia's broadacre agriculture: Is there a link?. Aust. J. Agric. Resour. Econ. 61:285–303
    [Google Scholar]
  64. Lev B, Sougiannis T. 1996. The capitalization, amortization, and value-relevance of R&D. J. Acc. Econ. 21:107–38
    [Google Scholar]
  65. Li WCY, Hall BH. 2018. Depreciation of business R&D capital. Rev. Income Wealth 66:1161–80
    [Google Scholar]
  66. Lindner RK, Fisher A, Pardey PG. 1979. The time to early adoption. Econ. Lett. 2:187–90
    [Google Scholar]
  67. Mansfield E. 1965. Rates of return from industrial research and development. Am. Econ. Rev. 55:2310–22
    [Google Scholar]
  68. Mansfield E. 1968a. Industrial Research and Technological Innovation: An Econometric Analysis New York: Norton
    [Google Scholar]
  69. Mansfield E. 1968b. The Economics of Technological Change New York: Norton
  70. Mansfield E. 1972. Contribution of R&D to economic growth in the United States. Science 175:4021477–86
    [Google Scholar]
  71. Mead CI. 2007. R&D depreciation rates in the 2007 R&D satellite account BEA/NSF Backgr. Pap., Bur. Econ. Anal., US Dep. Commer. Washington, DC:
  72. Minasian JR. 1962. The economics of research and development. The Rate and Direction of Inventive Activity RE Nelson 93–142. Princeton, NJ: Princeton Univ. Press
    [Google Scholar]
  73. Moylan CE, Okubo S 2020. The evolving treatment of R&D in the U.S. national economic accounts Work. Pap., Bur. Econ. Anal., US Dep. Commer. Washington, DC:
  74. Myers RJ, Jayne T 1997. Regime shifts and technology diffusion in crop yield growth paths with an application to maize yields in Zimbabwe. Aust. J. Agric. Resour. Econ. 41:3285–303
    [Google Scholar]
  75. Nadiri M, Prucha IR. 1993. Estimation of the depreciation rate of physical and R&D capital in the U.S. total manufacturing sector NBER Work. Pap. 4591
  76. Nelson RR. 1962. The link between science and invention: the case of the transistor. The Rate and Direction of Inventive Activity: Economic and Social Factors RE Nelson 549–83. Princeton, NJ: Princeton Univ. Press
    [Google Scholar]
  77. OECD (Organ. Econ. Co-op-Dev.) 2013a. New sources of growth: knowledge-based capital. Key analyses and policy conclusions. Synth. Rep., OECD Paris: https://www.oecd.org/sti/inno/knowledge-based-capital-synthesis.pdf
  78. OECD (Organ. Econ. Co-op-Dev.) 2013b. Supporting Investment in Knowledge Capital, Growth and Innovation Paris: OECD Publ.
  79. OECD (Organ. Econ. Co-op-Dev.) 2015. Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development Paris: OECD Publ.
  80. OECD (Organ. Econ. Co-op-Dev.) 2018. Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation. Paris: OECD Publ. , 4th ed..
  81. Olmstead AL, Rhode PW. 2002. The Red Queen and the hard reds: productivity growth in American wheat, 1800–1940. J. Econ. Hist. 62:4929–66
    [Google Scholar]
  82. Olmstead AL, Rhode PW. 2008. Creating Abundance: Biological Innovation and American Agricultural Development New York: Cambridge Univ. Press
  83. Pakes A. 1978. Economic incentives in the production and transmission of knowledge: an empirical analysis PhD Thesis, Harvard Univ. Cambridge MA:
  84. Pakes A, Griliches Z 1984. Patents and R&D at the firm level: a first look. R&D, Patents, and Productivity Z Griliches 55–72. Chicago, IL: Univ. Chicago Press
    [Google Scholar]
  85. Pakes A, Shankerman M. 1984. The rate of obsolescence of patents, research gestation lags, and the private rate of return to research resources. R&D, Patents, and Productivity Z Griliches 73–88. Chicago, IL: Univ. Chicago Press
    [Google Scholar]
  86. Pannell D, Zilberman D. 2020. Understanding adoption of innovations and behavior change to improve agricultural policy. Appl. Econ. Persp. Policy 41:13–7
    [Google Scholar]
  87. Pardey PG, Alston JM. 2020. The drivers of U.S. agricultural productivity growth. 2020 Agricultural Symposium: The Roots of Agricultural Productivity Growth5–28. St. Louis, MO: Fed. Res. Bank Kansas City
    [Google Scholar]
  88. Pardey PG, Alston JM. 2021. Unpacking the agricultural black box: the rise and fall of American farm productivity growth. J. Econ. Hist. 8:1114–55
    [Google Scholar]
  89. Pardey PG, Alston JM, Ruttan VW 2010. The economics of innovation and technical change in agriculture. Handbook of the Economics of Innovation, Vol. 2 BH Hall, N Rosenberg 939–84. Amsterdam: Elsevier
    [Google Scholar]
  90. Pardey PG, Beddow JM. 2013. Agricultural innovation: the United States in a changing global reality CCGA Report, Chicago Counc. Glob. Aff. Chicago:
  91. Pardey PG, Craig BJ. 1989. Causal relationships between public sector agricultural research expenditures and output. Am. J. Agric. Econ. 71:9–19
    [Google Scholar]
  92. Phillips PWB, Khachatourians GG. 2001. The Biotechnology Revolution in Global Agriculture: Innovation, Invention and Investment in the Canola Industry Wallingford, UK: CABI
  93. Plastina A, Fulginiti L. 2011. Rates of return to public agricultural research in 48 US states. J. Prod. Anal. 37:295–113
    [Google Scholar]
  94. Product. Comm 2007. Public support for science and innovation Res. Rep., Product. Comm. Canberra, Aust:.
  95. Rao X, Hurley TM, Pardey PG. 2019. Are agricultural R&D returns declining and development dependent?. World Dev 122:27–37
    [Google Scholar]
  96. Rao X, Hurley TM, Pardey PG. 2020. Recalibrating the reported returns to agricultural R&D: What if we all heeded Griliches?. Aust. J. Agric. Resour. Econ. 64:977–1001
    [Google Scholar]
  97. Ridley M. 2020. How Innovation Works and Why It Flourishes in Freedom. New York: Harper Collins
  98. Ritchie H, Roser M. 2022. Technology adoption. Our World in Data https://ourworldindata.org/technology-adoption
    [Google Scholar]
  99. Robbins CA, Moylan CE. 2007. Research and development satellite account update: estimates for 1959–2004. BEA Surv. Curr. Bus. 87:1049–64
    [Google Scholar]
  100. Rosenberg N. 1975. Problems in the economist's conceptualization of technological innovation. HOPE 7:4456–81
    [Google Scholar]
  101. Saitone T, Sexton RJ, Sumner DA. 2015. What happens when food marketers require restrictive farming practices?. Am. J. Agric. Econ. 97:41021–43
    [Google Scholar]
  102. Samantara K, Bohra A, Mohapatra SR, Prihatini R, Asibe F et al. 2022. Breeding more crops in less time: a perspective on speed breeding. Biology 11:275
    [Google Scholar]
  103. Schultz TW. 1953. The Economic Organization of Agriculture New York: McGraw-Hill
  104. Schultz TW. 1956. Reflections on agricultural production output and supply. J. Farm Econ. 38:3748–62
    [Google Scholar]
  105. Serfas D, Alston JM, Pardey PG. 2023. The returns to industrial R&D: a comprehensive meta-assessment and partial critique of the evidence InSTePP Work. Pap., Int. Sci. Technol. Pract. Policy Cent., Univ. Minn. St. Paul:
  106. Shanks S, Zheng S. 2006. Econometric modelling of R&D and Australia's productivity Staff Work. Pap., Product. Comm. Canberra, Aust:.
  107. Sliker BK. 2007. R&D satellite account methodologies: R&D capital stocks and net rates of return BEA/NSF Backgr. Pap., Bur. Econ. Dev., US Dep. Commer. Washington, DC:
  108. Symeonidou N, Bruneel J. 2017. Determinants, causal connections and outcomes of corporate technology licensing: a systematic review and research agenda. R&D Manag. 47:4620–36
    [Google Scholar]
  109. Teece DJ. 1986. Profiting from technological innovation: implications for integration, collaboration, licensing and public policy. Res. Policy 15:285–305
    [Google Scholar]
  110. Terleckyi NE. 1980a. Direct and indirect effects of industrial research and development on the productivity growth of industries. New Developments in Productivity Measurement JW Kendrick, BN Vaccara 357–86. Chicago, IL: Univ. Chicago Press
    [Google Scholar]
  111. Terleckyi NE. 1980b. What do R&D numbers tell us about technological change?. Am. Econ. Rev. 70:255–61
    [Google Scholar]
  112. Thirtle CG, Piesse J, Schimmelpfennig D. 2008. Modeling the length and shape of the R&D lag: an application to U.K. agriculture. Agric. Econ. 39:73–85
    [Google Scholar]
  113. Tintner G. 1944. A Note on the derivation of production functions from farm records. Econometrica 1:26–34
    [Google Scholar]
  114. Ugur M, Trushin E, Solomon E, Guidi F. 2016. R&D and productivity in OECD firms and industries: a hierarchical meta-regression analysis. Res. Policy 45:2069–86
    [Google Scholar]
  115. Wang S, Alston JM, Pardey PG. 2023. R&D lags in economic models Staff Pap. P23-01, Dep. Appl. Econ., Univ. Minn., St. Paul
  116. Wang SL, Ball VE, Fulginiti L, Plastina A 2012. Accounting for the impacts of local and spill-in public research, extension, and roads on U.S. regional agricultural productivity growth, 1980–2004. Productivity Growth in Agriculture: An International Perspective KO Fuglie, SL Wang, VE Ball 13–32. Wallingford, UK: CABI
    [Google Scholar]
  117. Wang SL, Plastina A, Fulginiti L, Ball VE. 2017. Benefits of public R&D in US agriculture: spill-ins, extension, and roads. Theoret. Econ. Lett. 7:61873–98
    [Google Scholar]
  118. Yang S, Shumway CR. 2016. Dynamic adjustment in US agriculture under climate change. Am. J. Agric. Econ. 98:3910–24
    [Google Scholar]
  119. Yang S, Shumway CR. 2020. Knowledge accumulation in US agriculture: research and learning by doing. J. Prod. Anal. 54:87–105
    [Google Scholar]
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