Published online by Cambridge University Press: 22 May 2009
Continued dependence on expensive imported liquid fuels puts stress on the relations among and the domestic performance of the members of OECD. Coordinated energy R&D could in principle lessen those stresses and also benefit other liquid fuel consumers. A political economy approach can help explain the tepid pursuit of this possibility in two ways. First, it can clarify the reasons for the weak collective action energy R&D record of the members of the OECD both before and after the oil events of 1973. Second, it can demonstrate and identify the nature of the undersupply of the public good of energy knowledge. The history of this area illustrates several general obstacles to the provision of public goods in realistically complex political situations. These include the uncertain and distant nature of commitments to actually deliver collective goods in the absense of self-enforcing agreements, unwillingness to jeopardize possible future private advantages, and the tendencies to link provision of particular public goods to cooperation by other parties with the provider on a host of other matters. In effect, the attempts of particular statesmen to tie energy R&D cooperation to other issues reinforce tendencies to view the choices not as ones about the level of provision of public goods, but rather as ones about national shares of private goods—economic, military, and political.
We are indebted to Wedge Greene, Gary Gaines, and James Horney for helpful research assistance. Preparation of this paper was supported in part by grants from the Institute for World Order. We have benefitted from the comments of Lawrence Finkelstein, Ernst Haas, Robert Holt, Henry Nau, Joe Oppenheimer and anonymous referees. An earlier version of this paper was presented at the meetings of the International Political Science Association, Edinburgh, Scotland, 16–21 August 1976.
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34 Quoted in Department of State Bulletin, 4 March 1974.
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37 Kissinger, is quoted in the New York Times, 12 02 1974Google Scholar. For a number of his major statements including comments on energy R&D, see: Readings, pp. 115–18, 136–43. Also see: Federal Energy Administration, Project Independence (Washington: U.S. G.P.O., 1974)Google Scholar.
38 U.S. Department of State, International Cooperation in Energy R&D, A Report to Gov. John A. Love, Director, Energy Policy Office, from William J. Casey, Under-Secretary of State, Economic Affairs, summarized in Pollock and Congdon, “International Cooperation.”
39 Poole, James, “The Next World Oil Crisis: American Energy Policies Are Seen as a Global Menace,” Sunday Times (London)Google Scholar, reprinted in Atlas, July 1976, pp. 10–14; for a useful review of the European disarray, see Robert J. Lieber, Oil and the Middle East War (Center for International Affairs, Harvard University, 1976). See also Katzenstein, Peter J., “International Relations and Domestic Structures,” International Organization 30, 1 (Winter 1976): 23–44CrossRefGoogle Scholar.
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46 Readings, pp. 73, 83–5; Hearings, pp. 16, 77–8, 141.
47 Suboptimality can be avoided only if one country's demand dominates all others. See Olson, , Logic of Collective Action, pp. 28 ffGoogle Scholar. and the final section of this paper.
In a stimulating piece, Oppenheimer has argued that the political process is so fraught with difficulties as an aggregating agent that it would be surprising to find the predictions of the theory of collective goods actually borne out. Joe A. Oppenheimer, “Reflections on the Applicability of the Theory of Collective Goods to International Politics,” presented to the 1978 meetings of the International Studies Association. Our view is less pessimistic, and we think the results of this paper provide some justification for it. For us, using collective goods theory to predict disproportionate cost-sharing is rather like using the theory of cost-benefit to predict which of a set of possible bridge-sitings will actually be acted upon: it is an imprecise device but it will not err randomly across a broad range of situations.
4 This expectation is familiar to students of industrial competition where a failure of tacit collusion often leads to excessive advertising in an industry by comparison with the joint profit-maximizing level. See Scherer, F. M., Industrial Market Structure and Economic Performance (Chicago: Rand McNally & Company, 1970), p. 336Google Scholar.
Also in this connection, some recent literature implies that insofar as it is conducted by (or perhaps only sponsored by) the government, a more than optimal amount of expenditure will take place. This allegedly results from motivations and opportunities towards overproduction suggested in works such as William Niskanen's Bureaucracy and Representative Government. Although some appear to believe that an overproduction bias is firmly established in such work, most critical readers remain unconvinced. As Earl Thompson has pointed out in a review of Niskanen's book, “ … bureaus want tremendously high outputs to increase their factor rents, but … government representatives, who are aware of the desires of the bureaucrats and are disciplined by political forces involving majority rule voting, keep these desires in check, while existing voting models do not give as much of a hint as to whether the outputs determined by the governmental representatives are too large or too small.” Journal of Economic Literature (September 1973): 952. Indeed, some years earlier Anthony Downs put forward a view of sub optimal spending by government, with goods like R&D, which produce “Benefits … remote from those who receive them, either in time, space, or comprehensibility,” subject to especially great short-falls. Downs, Anthony, “Why the Government Budget is Too Small in a Democracy,” World Politics (07 1960)Google Scholar. Given the strong biases on both sides of the bargaining table on an issue like R&D, the direction of distortion simply cannot be known, but in our view it is unlikely to be systematically large one way or the other across countries and R&D sectors (taking into account of course that future benefits will be discounted by voters in the ordinary way); we believe that the burden of proof is solidly with those who would contend that the distortion is systematic or substantial. In terms of the relations between industry and government, pioneering attempts to model the impact of the structure of an industry on its pressure to provide either “sub-optimal” or “super-optimal” amounts of R&D have been made by Takashi Negishi. See his “The Excess of Public Expenditures on Industries,” Journal of Public Economics 2 (1973): 231–240CrossRefGoogle Scholar, and “Excess Burden and The Voluntary Theory of Public Finance: The Case of Intermediate Public Goods,” Economka (May 1975): 177–81. The assumptions in this work are much too strict to be directly useful in the present paper.
49 TheOLS coefficient for GNP is 1.16; t = 26.49.
One of the points stressed most heavily by Oppenheimer in the paper cited in footnote 47 is the extent to which the valuation of a public good is dependent upon income distribution both within and among countries. As is implicit in our discussion, we think an optimal level of expenditure would probably be quite robust with respect to changes in distribution both internally and internationally. The reason is simply that energy is heavily involved in the delivery of goods and services in exchange for dollar votes—virtually regardless of who casts them within the richer countries.
50 The issue was apparently first raised in the international relations literature by Russett, Bruce and Sullivan, John, “Collective Goods and International Organization,” International Organization (Autumn 1971): 845–865Google Scholar, where they contend in a footnote that their use of ratio correlation serves “in no way to inflate the apparent relationship between the variables …”, p. 862. No mention is made of the fact that their procedure is biased away from confirming their hypothesis. Although the understanding of the direction of bias goes back as far as Karl Pearson in 1897, it has been recently brought to the attention of political scientists in a dispute between Uslaner, and Lyons, in the American Journal of Political Science in 1976 and 1977 (numbers 20, 21)Google Scholar. A clear statement is Vanderbok, William, “On Improving the Analysis of Ratio Data,” Political Methodology 4, 2 (1977)Google Scholar. Vanderbok gives the expected measured Pearsonian correlation for different relative coefficients of variation for the numerator and denominator of the ratio when the ratio and one of its elements are actually independent.
We have checked the literature carefully and have consulted with several statisticians who have worked on the ratio data problem. It appears that the exact bias involved in rank correlation data has not yet been established. Furthermore, the test of significance for Kendall's partial tau is undetermined. Because of the more precise results concerning bias and significance for partial correlation coefficients which appear to be offered by the use of the ordinary Pearsonian product moment correlation coefficients, some scholars might be tempted to turn directly to them in an attempt to test public goods hypotheses. In our experience, this is most unwise. The following table shows the relation between NATO expenditure as a percentage of GNP and GNP for 1964 as examined by Olson and Zeckhauser (Olson, Mancur Jr, and Zeckhauser, Richard, “An Economic Theory of Alliances,” Review of Economics and Statistics (11 1966): 266–279)Google Scholar; the relationship between total R&D expenditures by 17 OECD countries in the mid-sixties as a percent of GNP and GNP examined by the writers in preparation of the present paper (based on data in OECD, The Level and Structure of R&D Efforts in OECD Member Countries, [Paris, 1967])Google Scholar and the data presented in Table 7. The reader can confirm that the relative strength of the relation (ignoring bias) varies among the three public goods depending on which measure is used, and, in particular, that the simple correlation coefficient for the energy R&D percentage to GNP relation is dramatically lower than the rank order relation. What this suggests is that this relation is monotonic but otherwise very “badly behaved.”
51 The reader is reminded that simply finding a negative correlation between per capita income and percent of GNP spent (in our case –.067) does not disprove some actual positive relation because the spurious correlation is strongly negative. Thus Olson and Zeckhauser's claim that the relation between per capita income and percent of GNP spent on NATO is negative is incorrect (Olson, and Zeckhauser, , “An Economic Theory,” p. 275)Google Scholar, although their central conclusion about the relationship between GNP and percentage spent on defense is even stronger than they claimagain because of spurious correlation.
52 Some countries will naturally concentrate on domestic resources because only they will significantly benefit from successful exploitation; examples are certain geothermal projects in Iceland and parts of Scandinavia. Still others may concentrate on domestic sources for increased price-cost margins of exports or for security. Nevertheless, for many, perhaps most, countries, the desire for cheap energy might be expected to prevail.
53 The private monopoly system is an extremely inefficient instrument for encouraging industrial innovation—except by comparison with the alternatives. For a lucid discussion see Johnson, Harry G., “The Efficiency and Welfare Implications of the International Corporation,” in The International Corporation: A Symposium, Kindleberger, Charles P., ed. (Cambridge: The MIT Press, 1970), pp. p36–39Google Scholar.
54 For the fifteen countries for which a breakdown between nuclear and non-nuclear R&D expenditure is available, Kendall's tau on the relation between GNP and percentage spent on R&D is.524 for nuclear spending and.522 for all otherspending. (Data from OECD, Energy R&D.)
55 For a discussion of the “national champion strategy,” see Moran, T. H., “MNC's and the Political Economy of Atlantic Relations,” 1977Google Scholar, mimeographed.
56 The energy R&D expenditure figure for the U.S. is from Russell, Milton, “Energy” in Setting National Priorities: The 1978 Budget, Pechman, Joseph A., ed. (Washington: The Brookings Institution, 1977)Google Scholar. Furthermore, spending more than doubled within the next two years. After this study had already been edited, more recent figures became available from the OECD for a group of countries quite similar to that presented in Table 5. (Organization for Economic Cooperation and Development, Energy Policies and Programmes oflEA countries, 1977 Review (Paris, 1978)Google Scholar. These data suggest that while most countries increased their energy R&D efforts as a percent of GNP the disproportionality was probably greater than in 1974 (Kendall's tau equals.55 rather than.45 for a similar set of countries).
57 Russett and Sullivan, “Collective Goods”; and Olson, “Increasing the Incentives.”
58 For an informative exploration, see Hammarlund and Lindberg, Political Economy of Energy Policy.
59 This discussion benefits from those of Holloman, and Grenon, , “Energy Research and Development,” pp. 130, 137Google Scholar, and Nau, , “Collective Responses,” p. 652Google Scholar.
60 For an early contribution which recognizes the possible role of “means-testing” in the provision of international public goods, see de Strihou, Jacques van Ypersele, “Sharing the Defense Burden Among Western Allies,” Review of Economics and Statistics (11 1967): 527–536Google Scholar.
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