Abstract
We analyze the problem of incentivizing research and development (R&D) into developing world disease from an economic efficiency perspective. We view the problem as how to best promote R&D into goods with positive external effects in the sense that medicines that directly affect the health of the poor also indirectly affect the utility of the altruistic “rich.” We demonstrate why existing policy proposals – such as price concessions by manufacturers – adversely impact the poor by placing the burden of R&D only on innovators rather than all altruists in the rich world. We offer policy solutions that are based on economic efficiency and therefore rely on a broad sense of how the world values the treatment of developing world disease. We estimate that global altruism toward those with malaria is, at a minimum, valued between $835 million and $2.4 billion annually and for HIV/AIDS, between $9.1 billion and $26.6 billion annually. We argue that future policies toward neglected diseases need to better incorporate how efficient R&D meets the need of this global altruism.
7 Appendix 1
This theoretical appendix demonstrates why standard subsidies to lower the price of drugs developed for third-world disease are economically inefficient. The Appendix formally demonstrates that such subsidies do not provide the correct incentives for R&D when drugs are valued not only by those who directly consume them but by altruists in the developed world as well.
Let y denote the output or number of people in the developing world treated by drug specifically designed for a third-world disease such as malaria, p(y) the private inverse demand curve in developing countries, e(y) the global monetary value to altruists when y individuals consume the drug, and c(y) the total cost function. The function e(y) is increasing in the number of people treated with the drug. Let the producer surplus π(y) (profits) and consumer surplus s(y) be denoted by:

and let yπ represent the assumed unique output that maximizes profits π.
Static (or ex post) social welfare W(y), i.e., society’s total welfare after a drug has been commercialized, is then defined by consumer and producer surplus s(y)+π(y) together with the altruistic surplus e(y) of those affected externally by the provision of the new drug:

Let yW denote the (assumed unique) output or number of people consuming the drug that maximizes W.
An allocation (r, y) is defined as an R&D level r and an output level y after the drug has been discovered. The expected (or ex ante) social welfare given R&D r and output y is:

It represents ex post welfare weighted by the probability the drug is discovered x(r) minus the cost of innovation, which needs to be incurred in any event. The first-best R&D and output pair (r*, y*) maximizes this social welfare. Conditional on discovery of the drug, the optimal output choice is given by:

Clearly, the first-best and ex post optimal output coincide: y*=yW. Given an optimal welfare W*, the optimal R&D is then one that solves the first-order condition:

More generally the optimal level of R&D that maximizes expected payoffs for any hypothetical ex post award z is denoted r(.) and is defined by:

In this notation, the corresponding first-best R&D takes into account the highest level of ex post welfare r*=r(W(yW)).
The first-best allocation differs from the allocation that results when the externality of altruism toward third-world disease is corrected by Pigouvian subsidies. If r(π(y)) is the R&D induced by the patented profits, the Pigouvian output will generally not induce the first-best dynamic allocation because the R&D induced by the Pigouvian output coincides with the first-best R&D level only when:

which implies s(yW)+e(yW)=0. As consumer and producer surpluses are never zero under a positive externality, this condition fails to hold and Pigouvian corrections will lead to inefficient R&D levels.
8 Appendix 2
This empirical appendix develops an economic model that allows us to calculate the dollar value of global altruism toward third-world diseases such as malaria and HIV/AIDS on the basis of two pieces of information: 1) estimated foreign assistance for these diseases and 2) general estimates of the value of charitable giving.
Consider a poor nation for which the social surplus arising from the utilization of a new drug to treat third-world disease is defined by the WTP of those who directly consume treatment plus the WTP of those in the developed world who value utilization of this drug by the poor, all net of production costs:

Production is assumed to take on constant returns to scale so that c(y)=cy. The value the developed world places on utilization of this drug by the poor, i.e., the altruistic surplus, is given by e(y)=Na(y). There are N foreign altruists who provide treatment assistance to those in the poor country afflicted by the disease targeted by the drug. In this welfare function, treating those in the third world with a new drug is viewed as a public good in the sense that individuals in all wealthy, donor countries can benefit from the donor behavior of a single country. Each altruist therefore has a total WTP for providing the drug to the poor given by a(y), where a(y) is assumed to be increasing and either linear or concave in y. If pa(y) is the downward sloping demand curve for altruism, then 
The level of drug provision that maximizes W(y), yw, can be attained by an appropriately chosen Pigouvian subsidy, δ, which we interpret to reflect foreign treatment assistance. Under the assumption that observed levels of foreign treatment assistance, e.g., toward malaria or HIV/AIDS, reflect a Pigouvian correction to the altruism externality toward these diseases, we can use this simple model to calibrate the relationship between treatment assistance and the dollar value of global altruism toward these diseases. We therefore assume that observed foreign assistance for a disease such as malaria reflects a correctly chosen Pigouvian subsidy that subsidizes spending by affected countries to the point where the MC of subsidization in poor countries equals the MB to the world of having additional people treated by these lower, subsidized prices. We assume that manufacturers practice cost-based pricing in poorer nations.
8.1 Measuring Altruism
The first-order maximizing condition that determines the optimal level of drug provision is given by:

where the left-hand side is the social MB of an expansion in treatment and the right-hand side is the social MC. Under competitive pricing, the optimal subsidy δ that induces this quantity of treatment is simply δ=Na′(y). This expression can be rewritten to highlight the relationship between foreign treatment assistance, given by δy, and global altruism toward those with the given disease Na(y):

where εa,y=a′(y)(y/a) is the elasticity with respect to the level of treatment of a single altruist’s total WTP for treatment of those with disease. The elasticity is defined as the percent change in the total WTP for treatment of those with disease given a 1% change in the number of people treated. When a(y) is concave, this elasticity is less than unity.
The implication of this expression is that data on international assistance toward a disease can be used to identify the dollar value of global altruism toward treating those with that disease. In particular, global altruism Na(y) is measured by scaling up foreign assistance δy by a multiplicative factor (1/εa,y), which, when a(y) is concave, will be greater than one. In fact, when the demand for altruism is perfectly elastic, e.g., if pa(y) equals the constant β, the altruist’s total WTP for a given number of people treated will be linear a(y)=βy. In this case, the level of global altruism toward those with a given disease will be identical to observed international assistance toward those affected; that is, δy=Nαy. In this framework, then, total observed foreign assistance toward those afflicted with malaria or HIV/AIDS in developing countries can be construed as a lower bound of what the world is willing to pay for to treat those with these diseases.
When the demand for altruism is inelastic, measured altruism will be greater than foreign assistance by a multiple of (1/εa,y). Being able to measure global altruism toward those with a given disease will therefore rely on being able to measure εa,y for that disease. When the demand curve for altruism is linear, it is straightforward to show that the elasticity of the total WTP with respect to output, εa,y, satisfies:

where
can be interpreted as the absolute value of the elasticity of foreign assistance or charity care with respect to the “price of altruism.” In the context of charity donations, for example, this elasticity would be the percentage increase in donation dollars for a 1% decline in the price of donation, as perhaps generated by a given tax benefit to donating. To further illustrate, suppose that charitable donations are initially non-tax-deductible and individuals donate $100. This generates a particular level of utility at a price of altruism equal to $100. If donations now become tax deductible and the tax rate is 20%, the price of generating that same level of utility is $80 per year. If donations then increase to $120, the price elasticity of charity care would be one.
Combining Equations (11) and (12), one arrives at a simple equation that gives the dollar value of global altruism toward a given disease as a function of two parameters: 1) foreign assistance for the disease and 2) the price elasticity of altruistic or charitable giving.

The intuition behind Equation (13) is straightforward. First, higher levels of foreign health assistance toward a disease imply a greater global WTP for improvements in that disease. Second, as individuals care more about altruism generally, such that the demand for altruistic behavior becomes more inelastic with respect to the price of donating, a given level of foreign assistance will reflect a greater WTP for treatment of those with the disease.
The multiplicative factor in Equation (13) that scales up foreign assistance toward a disease requires data on the price-elasticity of donation, which we obtain from a recent meta-analysis of the elasticity of charitable contributions (Peloza and Steel 2005). These authors find an average price elasticity of charitable contributions of roughly 1.44 (in absolute value terms, with a standard deviation of 1.21) across all studies considered. Although their analysis is mainly U.S.-focused and does not distinguish between different types of giving (e.g., domestic vs. foreign giving, health vs. religious giving), we interpret the reported elasticity as broadly reflecting how responsive altruistic spending is to the price of donation. Using an average price elasticity of charitable contributions of 1.44 plus or minus one standard deviation (0.2 vs. 2.6) gives a range of the foreign assistance scaling factor between 1.2 and 3.5 with an average of 1.5. For a given disease like malaria or HIV/AIDS, our model suggests a dollar value of global altruism toward each of these diseases equal to 1.2–3.5 times foreign assistance toward each of these diseases.
- 1
As discussed in Section 4, existing research discusses the general issue of global public goods but does not address the joint allocation problem of efficiently incentivizing R&D and efficiently providing goods with positive external consumption externalities.
- 2
The textbook example of a Pigouvian instrument is the Pigouvian tax applied to a polluter so that its marginal cost lines up with the marginal cost to society.
- 3
Arguably though, the initial use for a new drug may not be its more important or valuable use. Hence, there needs to be a mechanism to incentivize continuing R&D after initial approval for marketing.
- 4
In a more general context, Grossman and Lai (2002) discuss the optimality of streamlining IP protection across countries.
- 5
The threat of compulsory licensing after a drug is developed is such that nations would pay less with compulsory licensing than what their citizens would actually be willing to pay without it. Perversely, direct willingness to pay in poor nations is effectively suppressed.
- 6
Rather, it is those companies (and the patients who consume their therapies) who do not bid enough to win the priority voucher who ultimately pay, mainly through slower expected review times from mobilization of FDA towards the winner.
- 7
Although the analysis of Peloza and Steel (2005) is mainly US-focused and does not distinguish between types of giving (e.g., domestic vs. foreign giving, health vs. religious giving), we interpret the reported elasticity as broadly reflecting how responsive altruistic giving is to the price of donation.
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©2013 by Walter de Gruyter Berlin Boston
Articles in the same Issue
- Masthead
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- The Effect of Pharmaceutical Innovation on Longevity: Patient Level Evidence from the 1996–2002 Medical Expenditure Panel Survey and Linked Mortality Public-use Files
- Price Shopping in Consumer-Directed Health Plans
- The Effect of Comprehensive Smoking Bans in European Workplaces
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- Quantifying the Value of Personalized Medicines: Evidence from COX-2 Inhibitors
- Integrating Patient Incentives with Episode-Based Payment
- Better Quality of Care or Healthier Patients? Hospital Utilization by Medicare Advantage and Fee-for-Service Enrollees
- AIDS and Conflict: Micro Evidence from Burundi1)
- Measuring the Financial Exposure from Medical Care Spending Among Families with Employer Sponsored Insurance
- Why are Testing Rates so Low in Sub-Saharan Africa? Misconceptions and Strategic Behaviors
Articles in the same Issue
- Masthead
- Masthead
- The Effect of Pharmaceutical Innovation on Longevity: Patient Level Evidence from the 1996–2002 Medical Expenditure Panel Survey and Linked Mortality Public-use Files
- Price Shopping in Consumer-Directed Health Plans
- The Effect of Comprehensive Smoking Bans in European Workplaces
- Should Global Health be Tailored Toward the Rich? Altruism and Efficient R&D for Neglected Diseases
- Quantifying the Value of Personalized Medicines: Evidence from COX-2 Inhibitors
- Integrating Patient Incentives with Episode-Based Payment
- Better Quality of Care or Healthier Patients? Hospital Utilization by Medicare Advantage and Fee-for-Service Enrollees
- AIDS and Conflict: Micro Evidence from Burundi1)
- Measuring the Financial Exposure from Medical Care Spending Among Families with Employer Sponsored Insurance
- Why are Testing Rates so Low in Sub-Saharan Africa? Misconceptions and Strategic Behaviors