Abstract
Recent economic policies emphasize the role of academic science in technological innovation and economic growth and encourage universities and individual academics to engage in commercial activities. In this trend of academic commercialization, a growing concern has been expressed that its potential incompatibility with the traditional norms of open science could undermine the cooperative climate in academia. Drawing on the framework of evolution of the cooperation, this study examines the changing nature of academic cooperation under the current policy trend. In an ideal state of open science, academics are supposed to cooperate gratis and unconditionally. However, results predict that the commercialized regime could compromise underlying mechanisms of cooperation and allow defectors to prevail. As the trend further grows, academics would become more demanding of direct reward in exchange for cooperation, and they would refrain from engaging in cooperation but would prefer to work independently. Some interventions (e.g., centralized rewarding) could mitigate the problem but require delicate system design.
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Notes
Some literature criticizes this approach because knowing the reputation of other players is practically difficult (e.g., Leimar and Hammerstein 2001).
The variation of cooperation behavior and reputation rules is comprehensively studied by Ohtsuki and Iwasa (2004), and this study draws on one of the most stable and efficient.
This setting is chosen mainly for mathematical tractability. I found from interviews that some academics in fact avoid cooperation if no information is available about recipients. However, the opposite assumption is plausible, where a DISC donor takes its recipient as good when his reputation is unknown. A more realistic assumption may be that DISC donors guess recipients’ reputation based on the frequency of good players. All these settings give qualitatively similar results, though the magnitude of the commercialization effect may differ.
In this and the following computation, the number of iterated game rounds is ignored since it is irrelevant when the equilibrium reputation is used.
The transition between non-commercial and commercial academics is discussed in the Supplementary Material.
In reality, the frequency of each type is unknown. From the fact that indirect reciprocity is widely observed in resource sharing, I assume that the frequency of DISC is greater than the unstable equilibrium and the dynamics move toward the cooperative regime when COM does not exist. With this assumption, this mathematical argument implies that a sufficient frequency of COM shifts the equilibrium so that the dynamics are reversed toward the non-cooperative regime.
This setting is similar to Trust Game (Berg et al. 1995) but is different in that donors can know whether recipients are willing to reward through negotiation.
In the case of coauthorship, our interviewees suggested that the promise of coauthorship is usually kept. Of course, recipients may fail to publish a paper, which is understood as discounted value of the reward.
ALLC is dominated by DISC and PAY, and ALLD is dominated by PAY.
I assume that this is the case though it needs empirical investigation. The rate of receiving cooperation is q/(2 − q) at the pure DISC equilibrium and p at the pure PAY equilibrium when no COM exists. Thus, reward-based cooperation is socially less desirable than indirect reciprocity if p < q/(2 − q) (e.g., p < 0.67 if q = 0.8).
Because ALLC is dominated by DISC and PAY, and ALLD is dominated by PAY and ABST, the dynamics of these three types are of the ultimate interest.
See the Supplementary Material.
This is the case even if c < r < β because recipients would deny bilateral private reward knowing that PAY donors would cooperate for centralized reward anyway.
The effect of different sizes of centralized rewarding is examined in detail in the Supplementary Material.
This also has a similar effect to centralized rewarding. For donors, the cooperation fee paid by recipients is equivalent to the reward paid by the centralized rewarding. For recipients, fee payment can be understood as reduction of cooperation benefit.
Even if DISC recipients are allowed to pay bilateral rewards, Prediction 2 holds for most of the parameter region, but in a small parameter region, DISC gains advantage to PAY when COM invades.
Details are given in the Supplementary Material.
The region of p is restricted so that DISC can be socially more desirable than PAY at least when COM does not exist. See fn. 11.
No incident was found where two or three solutions were in (0,1).
Details are given in the Supplementary Material.
x *0 is the solution of ∂k/∂x 0 = k = 0 for x 0. A Monte-Carlo simulation shows that x *0 is negligibly small; the maximum of x *0 of 10,000 runs was x *0 = 0.012. Thus, a very small frequency of COM is enough to negatively affect DISC.
References
Arce DG (1996) Social norms, inflation and stabilization. Ration Soc 8(3):277–294
Argyres NS, Liebeskind JP (1998) Privatizing the intellectual commons: universities and the commercialization of biotechnology. J of Economic Behavior & Organ 35(4):427–454. doi:10.1016/s0167-2681(98)00049-3
AUTM (2007) AUTM U.S. Licensing Activity Survey. The Association of University Technology Managers, Deerfield, I
Berg J, Dickhaut J, McCabe K (1995) Trust, reciprocity, and social-history. Games and Economic Behavior 10(1):122–142. doi:10.1006/game.1995.1027
Blau PM (1964) Exchange and power in social life. Wiley, New York, NY
Bowles S, Gintis H (2011) A cooperative species. Princeton University Press, NJ
Brandt H, Sigmund K (2005) Indirect reciprocity, image scoring, and moral hazard. Proc of The National Acad of Scis of The United States of America 102(7):2666–2670. doi:10.1073/pnas.0407370102
Campbell EG, Weissman JS, Causino N, Blumenthal D (2000) Data withholding in academic medicine: characteristics of faculty denied access to research results and biomaterials. Res Policy 29(2):303–312
Dasgupta P, David PA (1994) Toward a new economics of science. Res Policy 23(5):487–521
David PA (1998) Common agency contracting and the emergence of "open science" institutions. Amer Economic Rev 88(2):15–21
Etzkowitz H (1998) The norms of entrepreneurial science: cognitive effects of the new university-industry linkages. Res Policy 27:823–833
Fehr E, Fischbacher U (2004) Third-party punishment and social norms. Evol Hum Behav 25(2):63–87. doi:10.1016/s1090-5138(04)00005-4
Fehr E, Gachter S (2000) Cooperation and punishment in public goods experiments. Amer Economic Rev 90(4):980–994. doi:10.1257/aer.90.4.980
Frey BS, Jegen R (2001) Motivation crowding theory. J Econ Surv 15(5):589–611. doi:10.1111/1467-6419.00150
Friedman D (1998) On economic applications of evolutionary game theory. J Evol Econ 8(1):15–43. doi:10.1007/s001910050054
Furman JL, Stern S (2011) Climbing atop the shoulders of giants: the impact of institutions on cumulative research. Amer Economic Rev 101(5):1933–1963. doi:10.1257/aer.101.5.1933
Gintis H, Bowles S, Boyd R, Fehr E (2005) Moral Sentiments and Material Interests. The Foundations of Cooperation in Economic Life. MIT Press, Cambridge, MA
Gneezy U, Rustichini A (2000) Pay enough or don't pay at all. Q J Econ 115(3):791–810. doi:10.1162/003355300554917
Grimaldi R, Kenney M, Siegel DS, Wright M (2011) 30 years after Bayh-Dole. Res Policy 40(8):1045–1057
Hauert C, De Monte S, Hofbauer J, Sigmund K (2002) Replicator dynamics for optional public good games. J Theor Biol 218(2):187–194. doi:10.1006/jtbi.2002.3067
Haeussler C (2011) Information-sharing in academia and the industry: a comparative study. Res Policy 40(1):105–122. doi:10.1016/j.respol.2010.08.007
Hofbauer J, Sigmund K (1998) Evolutionary Games and Population Dynamics. Cambridge University Press, Cambridge
Jensen R, Thursby M (2001) Proofs and prototypes for sale: the licensing of university inventions. Amer Economic Rev 91(1):240–259. doi:10.1257/aer.91.1.240
Lei Z, Juneja R, Wright BD (2009) Patents versus patenting: implications of intellectual property protection for biological research. Nature BioTech 27(1):36–40. doi:10.1038/nbt0109-36
Leimar O, Hammerstein P (2001) Evolution of cooperation through indirect reciprocity. Proceedings of the Royal Society of London Series B-Biological Sciences 268(1468):745–753
Merton RK (1973) Sociology of Science. University of Chicago Press, Chicago
Murray F, Stern S (2007) Do formal intellectual property rights hinder the free flow of scientific knowledge? An empirical test of the anti-commons hypothesis. J of Economic Behavior & Organ 63(4):648–687. doi:10.1016/j.jebo.2006.05.017
National Academy of Sciences (2003) Sharing publication-related data and materials: Responsibilities of authorship in the life sciences. The National Academies Press, Washington, D.C
Nelson RR (2004) The market economy, and the scientific commons. Res Policy 33(3):455–471
Nowak MA (2012) Evolving cooperation. J Theor Biol 299:1–8. doi:10.1016/j.jtbi.2012.01.014
Nowak MA, Sigmund K (1998) The dynamics of indirect reciprocity. J Theor Biol 194(4):561–574. doi:10.1006/jtbi.1998.0775
OECD (2003) Turning Science into Business: Patenting and Licensing at Public Research Organizations. OECD Publications Service, Paris
Ohtsuki H, Hauert C, Lieberman E, Nowak MA (2006) A simple rule for the evolution of cooperation on graphs and social networks. Nature 441(7092):502–505. doi:10.1038/nature04605
Ohtsuki H, Iwasa Y (2004) How should we define goodness? Reputation dynamics in indirect reciprocity. J Theor Biol 231(1):107–120. doi:10.1016/j.jtbi.2004.06.005
Ostrom E (1990) Governing the commons: the evolution ol institutions for collective action. Cambridge University Press, New York
Poyago-Theotoky J, Beath J, Siegel DS (2002) Universities and fundamental research: reflections on the growth of university-industry partnerships. Oxford Rev of Economic Policy 18(1):10–21. doi:10.1093/oxrep/18.1.10
Sefton M, Shupp R, Walker JM (2007) The effect of rewards and sanctions in provision of public goods. Econ Inq 45(4):671–690. doi:10.1111/j.1465-7295.2007.00051.x
Seinen I, Schram A (2006) Social status and group norms: indirect reciprocity in a repeated helping experiment. Eur Econ Rev 50(3):581–602. doi:10.1016/j.euroecorev.2004.10.005
Shibayama S, Baba Y (2011) Sharing research tools in academia: the case of Japan. Sci and Public Policy 38(8):649–659. doi:10.3152/030234211X13122939587699
Shibayama S, Walsh JP, Baba Y (2012) Academic entrepreneurship and exchange of scientific resources: material tansfer in life sciences and materials science in Japanese Universities. Amer Sociological Rev 77(5):804–830. doi:10.1177/0003122412452874
Sigmund K (2010) The Calculus of Selfishness. Princeton University Press, Princeton, NJ
Sigmund K, Hauert C, Nowak MA (2001) Reward and punishment. Proc of The National Acad of Scis of The United States of America 98(19):10757–10762. doi:10.1073/pnas.161155698
Thursby JG, Thursby MC (2011) Has the Bayh-Dole act compromised basic research? Res Policy 40(8):1077–1083. doi:10.1016/j.respol.2011.05.009
Trivers RL (1971) The Evolution of Reciprocal Altruism. Q Rev Biol 46(1):35–57
Walsh JP, Cohen WM, Cho C (2007) Where excludability matters: Material versus intellectual property in academic biomedical research. Res Policy 36(8):1184–1203
Acknowledgments
I am grateful to Yasunori Baba, Thomas Hellmann, David N. Laband, Hisashi Ohtsuki, Nobuyuki Takahashi, John P. Walsh, and an anonymous reviewer for their critical and insightful suggestions. An earlier version of this paper was presented at the 14th International Schumpeter Society Conference, and I acknowledge Andreas Chai and Jason Potts for their review. This study is partly supported by the Konosuke Matsushita Memorial Foundation and Grant-in-Aid for Research Activity Start-up of Japan Society for the Promotion of Science (#23810004).
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Mathematical appendix
Mathematical appendix
1.1 Prediction 1
\( g=\frac{1}{2-q{z}_3\left(1-{x}_0\right)} \) by solving g 2 = g 0 = 1 − g, g 3 = 1 − (1 − q)g, and g = x 2 g 2 + x 3 g 3 + x 0 g 0. With (4a) and (4b), \( {P}_3-{P}_2=\frac{q\left\{qb{z}_3\left(1-{x}_0\right)-c\right\}}{2-q{z}_3\left(1-{x}_0\right)} \). The solution of P 3 − P 2 = 0 for z 3 gives \( {z}_3^{*}=\frac{c}{qb\left(1-{x}_0\right)} \). \( \frac{d{z}_3^{*}}{d{x}_0}=\frac{c}{qb{\left(1-{x}_0\right)}^2}>0 \).
1.2 Prediction 2
I assume that recipients of self-regarding types (PAY and COM) accept paying bilateral rewards, but that DISC does not because it violates the norms of open science.Footnote 17 Thus, PAY donors cooperate with PAY and COM recipients with the probability of p but never cooperate with DISC. With this setting, the equilibrium reputation of PAY is given by g 4 = (1 − g 3)x 3 + {pg 4 + (1 − p)(1 − g 4)}x 4 + {pg 0 + (1 − p)(1 − g 0)}x 0, where g 0 = 1 − g, g 3 = 1 − (1 − q)g and g = x 3 g 3 + x 4 g 4 + x 0 g 0.
Formally, Prediction 2 states \( \frac{d{z}_3^{*}}{d{x}_0}>0 \), where z *3 is the solution of P 3 − P 4 = 0 for z 3. From (5a) and (5b), P 3 − P 4 = b(g 3 − g 4)qx 3 − p(β − c)x 0 − p(b − γ + β − c)x 4 − cgq. This is rearranged as \( \frac{f\left({z}_3,{x}_0\right)}{h\left({z}_3,{x}_0\right)} \), where f and h > 0 are polynomials of x 0 and z 3.Footnote 18 Since \( \frac{d{z}_3^{*}}{d{x}_0}>0 \) is not analytically provable, I indirectly show this by simulation. From the whole parameter regions, \( c\in \left(0,b\right),q\in \left(c,1\right),p\in \left(0,\frac{q}{2-q}\right) \),Footnote 19 \( \beta \in \left[c,b\right],\ \gamma \in \left[0,\ \beta \right], \) and x 0 ∈ [0, 1), I randomly choose a set of parameters, with which f(z 3, x 0) = 0 is numerically solved for z 3. If a solution is found in (0,1), the same equation is solved again with the same set of parameters except that x 0 is replaced by x 0 + ε, where \( \varepsilon =\frac{1}{10000} \). The first solution is denoted by z *3 and the second by z * *3 . This computation is repeated 100,000 times. Approximately 70 % of the time, no solution was found in (0,1). For the rest, a single solution was found in (0,1),Footnote 20 where z * *3 > z *3 always holds. This implies \( \frac{d{z}_3^{*}}{d{x}_0}>0 \). Because f is a cubic polynomial of z3 whose leading coefficient >0 and f(0, x 0) < 0, z *3 is the unstable equilibrium; i.e., P 3 − P 4 < 0 if z 3 < z *3 and P 3 − P 4 > 0 if z 3 > z *3 .■
1.3 Prediction 3 (DISC vs. ABST)
The game involving ABST is played as follows. Two players are randomly chosen from a population of DISC, ABST, and COM. When ABST is chosen as a donor, he always defects, so payoffs for both sides are zero. When ABST is chosen as a recipient, he does not ask for cooperation, where the payoff for ABST is σ while that for a donor is zero. As the donor neither defects nor cooperates, his reputation does not change. Because the reputations of DISC and COM are unaffected by games with ABST recipients, reputation is computed only within non-ABST players; i.e., g 3 = 1 − (1 − q)g − 5 and g 0 = 1 − g − 5, where \( {g}_{-5}=\frac{x_3{g}_3+{x}_0{g}_0}{x_3+{x}_0} \).
Prediction 3 is formally \( \frac{d{z}_3^{*}}{d{x}_0}>0 \), where z *3 is the solution of P 3 − P 5 = 0 for z 3. From the reputation equations, (6a), and (6b), \( {P}_3-{P}_5=\frac{q\left\{\left(b-c\right){\left(1-{x}_0\right)}^2{z}_3^2+\left(b+q-2c\right)\left(1-{x}_0\right){x}_0{z}_3-c{x}_0^2\right\}}{\left(2-q\right)\left(1-{x}_0\right){z}_3+2{x}_0}-\sigma \). Let k(z 3, x 0) = P 3 − P 5. Since k(z *3 , x 0) = 0, \( \frac{d{z}_3^{*}}{d{x}_0}=-\frac{\partial k}{\partial {x}_0}\ /\frac{\partial k}{\partial {z}_3} \). As \( \frac{\partial k}{\partial {z}_3}>0 \) is easily shown, proving \( \frac{\partial k}{\partial {x}_0}<0 \) suffices. \( \frac{\partial k}{\partial {x}_0} \) is rearranged as \( \frac{k_2\left({z}_3,{x}_0\right)}{k_1\left({z}_3,{x}_0\right)} \), where k 1 > 0 and k 2 are polynomials of x 0 and z 3.Footnote 21 As \( \frac{\partial {k}_2}{\partial {x}_0}<0 \) is easily shown, it follows that \( \frac{\partial k}{\partial {x}_0}<0\ \forall {x}_0\Leftarrow {k}_2\left({z}_3,0\right)<0\iff {z}_3>\frac{\left(qb-2c\right)\left(1-q\right)}{\left(2-q\right)\left(b-c\right)} \). Since k(z *3 , x 0) = 0, the sufficient condition for \( \frac{\partial k}{\partial {x}_0}<0\ \forall {x}_0 \) is \( {\left.{z}_3^{*}\right|}_{y=0}=\frac{\left(2-q\right)\sigma }{q\left(b-c\right)}>\frac{\left(qb-2c\right)\left(1-q\right)}{\left(2-\mathrm{q}\right)\left(b-c\right)}\iff c>\frac{qb}{2} \) or \( \sigma >\frac{q\left(1-q\right)\left(qb-2c\right)}{{\left(2-q\right)}^2} \). Otherwise, ∃ x *0 ∈ (0, 1) s.t. \( \frac{\partial k}{\partial {x}_0}<0\left({x}_0>{x}_0^{*}\right) \) and \( \frac{\partial k}{\partial {x}_0}>0\ \left({x}_0<{x}_0^{*}\right) \).Footnote 22 In sum, if c or σ is sufficiently large, COM offers a favorable condition for ABST regardless of COM’s frequency. Otherwise, with a minimal frequency of COM, ABST gains advantage over DISC.
1.4 Prediction 3 (PAY vs. ABST)
Since DISC is not present, reputation does not play a role. From (6b) and (6c), P 4 − P 5 = p(β − c)(x 4 + x 0) + p(b − γ)x 4 − σ. Solving P 4 − P 5 = 0 for z 4, \( {z}_4^{*}=\frac{\sigma -p\left(\beta -c\right){x}_0}{p\left(b-\gamma +\beta -c\right)\left(1-{x}_0\right)} \). \( \frac{d{z}_4^{*}}{d{x}_0}=\frac{\sigma -p\left(\beta -c\right)}{p\left(b-\gamma +\beta -c\right){\left(1-{x}_0\right)}^2} \) . \( \frac{d{z}_4^{*}}{d{x}_0}>0 \) if σ > p(β − c). Thus, the invasion of COM is favorable for ABST when the matching rate (p) or the value of return payment (β) is sufficiently small.
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Shibayama, S. Academic commercialization and changing nature of academic cooperation. J Evol Econ 25, 513–532 (2015). https://doi.org/10.1007/s00191-014-0387-z
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DOI: https://doi.org/10.1007/s00191-014-0387-z
Keywords
- Indirect reciprocity
- Evolution of cooperation
- Social norms
- Open science
- Academic commercialization
- Academic Entrepreneurship
- Evolutionary game theory