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Volume 2012 (2012), Article ID 702974, 8 pages
Outsourcing Innovation in Product Cycles
Department of Economics, National Tsing Hua University, 101 Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan
Received 4 June 2012; Accepted 22 August 2012
Academic Editors: T. Kuosmanen, A. Watts, and J. Zarnikau
Copyright © 2012 Hsiao-Lei Chu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this quality-ladder product-cycles model, a southern firm can undertake innovation by collaborating with a northern firm through R&D outsourcing. Generally, I find that the initial steady-state scale of R&D outsourcing and the fraction of innovative tasks undertaken by southern labor through R&D outsourcing critically affect the results of comparative statics. Particularly, the friendly policy to promote R&D outsourcing may be beneficial for both of the North and the South only if the scale of R&D outsourcing is small.
The Vernon-type product-cycles model generally consists of two countries, North and South. The North is distinguished from the South by its superior ability of innovation and higher wage rate. In addition, a production process in the model generally consists of two stages, R&D and manufacturing. Given the key character that the latest innovation through R&D replaces outdated products, various patterns of production process have been discussed in this Vernon-type product-cycles framework. Particularly, outsourcing part of the production process, which is consistent with the observation of global fragmentation in production and trading semifinished products [1, 2], has been investigated. (In addition, FDI (e.g., [3–5]) and licensing (e.g., ) have also been discussed in the product-cycles framework.) Glass and Saggi  divide the manufacturing stage into an advanced stage and a basic stage, where the basic stage can be outsourced to the South. Their framework is extended by Glass  with imitation, and by Sayek and Sener  with heterogenous labor. Sener and Zhao  push out the outsourcing frontier further outward by considering that the North is able to outsource domestically developed innovation directly to the South without manufacturing the innovation at home in advance. Although they all recognize the importance of international outsourcing to product cycles, no R&D outsourcing is discussed. (Lai et al.  model outsourcing innovation in a principal-agent framework. They mainly focus on optimal contracting. Innovation in the South actually has been discussed in product-cycles models by Chui et al.  and Chu ; however, neither of the two articles considers outsourcing.)
If the South is also capable of undertaking innovation, it might stimulate the North to outsource at least a part of R&D stage to the South because of the lower wage rate in the South. In fact, some reports do point out that international outsourcing of innovation is rising. For example, Technology Forecasters Inc. reports that USA companies have increased outsourcing innovation overseas from less than US $30 billion in 2000 to over US $60 billion in 2004 ; BusinessWeek (March 21, 2005) tells that “Today, the likes of Dell, Motorola and Philips are buying complete designs of some digital devices from Asian developers, tweaking them to their own specifications, and slapping on their own brand names….About 30% of digital cameras are produced by ODMs, 65% of MP3 players, and roughly 70% of personal digital assistants.” Based on a survey of over 300 executives worldwide, Economist Intelligence Unit  concludes that the proportion of respondents with at least some of their R&D function overseas is 65% in 2007 and the percentage is expected to be higher over time. These observations of outsourcing innovation are consistent with the upward trends of granted patents in the developing countries (which may be classified as southern countries in the product-cycles framework) such as China, India, South Korea, and Taiwan as showed in Appendix A. (A report from Markets, Patents & Alliances, LLC , shows that particularly in the computer and telecommunication industries, many Taiwanese ODM firms, like Hon Hai Precision Industry (also known as Foxconn Electronics) and Taiwan Semiconductor Manufacturing Corporation (TSMC), experience a huge growth in patent activities since 1995.These ODMs design and assemble products for companies with brand names. Multinational corporations also offshore R&D. For example, Nortel Networks and GECIS in India, HP in Taiwan have hired local scientists to work on R&D.)
Motivated by the rising of international outsourcing of innovation, this paper incorporates southern innovation into a product-cycles framework. Specifically, it is assumed that a southern firm can undertake innovation by collaborating with a northern firm through R&D outsourcing. I intend to investigate how the steady-state relative wage, the aggregate rate of innovation, and the measure of northern firms which outsource R&D (dubbed the scale of R&D outsourcing hereafter) are determined in this model. Particularly, I investigate the impacts of R&D subsidies, of an improvement on southern R&D ability and of the sizes of regional labor force on the steady-state equilibrium. In this model I leave imitation out of the picture, which can be justified by a sufficiently high cost of a violation of the intellectual property right faced by a country once it integrates into the global trade system.
Similar to Glass and Saggi  and Sener and Zhao , this paper also finds that an R&D friendly policy in the South raises southern relative wage; however, its impacts on the aggregate rate of innovation and on the scale of outsourcing (though the paper refers to R&D outsourcing and their articles refer to manufacturing outsourcing) are uncertain in this paper. Glass and Saggi  consider manufacturing outsourcing and find that subsidies to adapting technologies for southern production lead to more international outsourcing and the subsidies also raise the aggregate rate of innovation and the southern relative wage. Sener and Zhao  emphasize the phenomenon of simultaneous innovation and outsourcing by northern firms. They show that if the South subsidizes on northern firms which directly transfer technologies to the South or if the South subsidizes on local manufacturing, all of the aggregate rate of innovation, the scale of outsourcing, and the southern relative wage should rise.
In this paper, the South controls two variables, and , for R&D friendly policies. denotes the rate of R&D subsidy on the southern firms and denotes the rate of R&D subsidy on the northern firms that outsource R&D to the South. An increase in or an increase in raises southern relative wage and the size of this effect depends on the fraction of innovative tasks undertaken by the southern labor employed in R&D outsourcing. An improvement on southern R&D ability, an increase in southern labor force, a higher and a higher generate the same qualitative effect on the scale of R&D outsourcing and on the aggregate rate of innovation. The qualitative effect can be positive or negative, and it will be positive if the initial steady-state scale of R&D outsourcing is not too large (will define “too large” later). If the development of R&D outsourcing raises the southern relative wage but reduces the aggregate rate of innovation then R&D outsourcing casts shadow on the welfare of the North and might even reduce the welfare of the South, which is in contrast with the conclusion of Glass and Saggi . They argue that international (manufacturing) outsourcing can potentially create gains sufficient to offset the decline in the northern wage because the rate of innovation is raised by outsourcing. In addition, in this paper a larger northern labor force might reduce the aggregate rate of innovation; however, it always speeds up the global rate of innovation in the literature because the northern labor is the sole input for innovation. Generally, I find that the initial steady-state scale of R&D outsourcing and the fraction of innovative tasks undertaken by the southern labor through R&D outsourcing are two variables which critically affect the results of comparative statics. These two variables can emerge because of taking international R&D outsourcing into consideration.
2. The Model
The world consists of two countries: North and South denoted by and , respectively. Agents worldwide consume goods indexed by , . The quality of good can be improved by innovation and one improvement raises the quality by times. Let , , is the quality of good that experiences times of improvement on quality. Labor is the only input in production and the wage rate in the North, , is strictly greater than the wage rate in the South, . For any good , firms which possess the technologies to produce various qualities of good compete with each other, leading to only one firm that offers the lowest quality-adjusted price in the industry . Only northern firms are capable of inventing new quality independently and any southern firm can undertake innovation only if it collaborates with a northern firm through R&D outsourcing.
2.1. Types of Firms and Technology
The production process in a northern industry includes an R&D stage to innovate the state-of-the-art quality of good and a manufacturing stage to produce good featuring this top quality. A northern firm becomes the incumbent firm of an industry once its new invention is launched in the market. At the same time, the technology utilized by the precedent of this incumbent firm, that is, the technology for the second-to-the-top quality, becomes common knowledge to all firms in the world. Each northern firm has the option to outsource the manufacturing stage and/or the R&D stage to the South. An incumbent northern firm is type- ( indicates northern innovation) if its precedent outsources the manufacturing stage only and is type- ( indicates outsourcing innovation) if its precedent outsources both of the R&D and the manufacturing stages, where if this incumbent northern firm undertakes the R&D stage at home and outsources the manufacturing stage to the South and if it outsources both of the R&D and manufacturing stages. A southern firm that undertakes innovative activity in the R&D stage is called type-. Define .
The success of an R&D activity exhibits a continuous Poisson process. In the R&D stage, for , an innovation with intensity for a time interval requires units of northern labor at a cost of . On the other hand, for , an innovation with intensity for a time interval requires units of southern laborand units of northern labor for a time interval . A type- firm incurs an R&D cost of and receives from its northern outsourcer which also spends on northern labor to impose its desired intensity of R&D in collaborating with the southern innovation. Any innovation with intensity for a time interval leads to a success with probability . We assume that since the North is superior in innovation and assume that so that outsourcing is worthwhile in the equilibrium. The ratio of represents the fraction of R&D undertaken by southern labor. We, therefore, define -share and -share in R&D as In an industry , an outsourcing connection between an incumbent northern firm and its southern R&D partner ceases when another northern firm launches a better quality in the market. (In reality, firms change their outsourcing partners flexibly. Of course, a long-term contractual relationship between the trading parties can be considered in a more complex framework.)
North and South have the same manufacturing technology which requires one unit of labor to produce one unit of output. To emphasize that outsourcing the manufacturing stage is relatively less complex and to simplify the analysis, it is assumed that outsourcing the manufacturing stage incurs no outsourcing cost which implies that all manufacturing stages are operated in the South given .
All agents have identical preferences and each consumer maximizes his utility , where is the discount rate; indexes time; indexes goods; and , respectively, are the quality and the consumption of good that experiences times of improvement on quality. Let denote the expenditure at time and , where is the price of good with quality . A consumer allocates an equal expenditure share to every good that offers the lowest quality adjusted price . Let represent the price of the top-quality good . The indirect utility function is derived as In the equilibrium, we also have where is the instantaneous interest rate.
2.3. No-Arbitrage Conditions and Free Entry
Let denote the instantaneous profit of a type- firm and be the value of a type- firm, . For a type- firm, , over a time interval , its stockholders receive as dividend payments and suffer a loss of with probability . That is, the stockholders of this type- firm have a probability of to capture a capital gain (or loss) of . We, therefore, define the no-arbitrage condition to be that the expected rate of return from holding the stock of the type- firm equals the risk-free interest rate, that is, . As , the no-arbitrage condition can be written as where is the unit price, is the marginal cost, and is the amount of products sold. Because the quality of a good increases by times through one successful innovation and the competing price is , an incumbent firm charges the limit price of for its products.
A type- firm receives from its northern outsourcer as the payment for its R&D service, spends on employment for R&D, receives a subsidy of (recall that denotes the rate of R&D subsidy on the southern firms), and generates a profit of so that we can write Since no type- firm is involved with any manufacturing task, the no-arbitrage condition for a type- firm is or
Each firm exante chooses its type and R&D intensity to maximize the expected value of the R&D. Free entry in the markets implies that the expected value does not exceed the cost, with equality holding if the R&D intensity is strictly positive. Recall that is the rate of subsidy, representing a friendly policy from the South to encourage R&D outsourcing. We can, therefore, write
2.4. Measures of Firms and Labor Markets
Let be the measure of type- firms, for . Since the consumption goods are of measure 1, we get In the steady-state equilibrium, the measure of type- firms is a constant for all in . Thus, we have the following equations describing the instantaneous exit and entry of firms among types: where the LHS of each equation represents the measure of firms which exit from the type and the RHS gives the measure of entry.
Among the labor force of the South , units of labor are allocated in the manufacturing stage, and units of labor work on innovation, that is, In the northern labor market, domestic R&D activities require units of labor and R&D outsourcing require units of labor. Therefore, we can present the aggregate labor supply n North, , by
3. The Steady-State Equilibrium
The steady state equilibrium consists of a sequence of variables which satisfies (4) to (13). We can simplify (4) to (13) by taking the symmetries among firms into consideration. The northern firms of the same type face the same exante conditions of production and the same prospects of profitability; therefore, these forward-looking firms should make the same decisions on their R&D intensity and should have the same expected revenue and cost in production. Thus, we define by Define as the aggregate rate of innovation, Equations (4) to (15) are reduced to the following three equations as shown in Appendix B to determine the steady-state values of , , and : where Once , , and are determined, we can get In addition, by (4) to (15), we derive
Proposition 1. Given and in the steady-state equilibrium, we have and .
Proposition 1 states that a marginal increase in the rate of subsidy on R&D in the South raises the southern relative wage. Particularly, subsidizing southern firms generates a larger (smaller) effect than subsidizing northern outsourcing firms if -share is larger (smaller) than -share.
Total differentiation of (16) evaluating at yields where
Proposition 2. In the steady-state equilibrium, we have , for .
Proposition 2 derived from (20) tells that an increase in , in , in and a decrease in generate the same qualitative impact on and . If -share is larger (smaller) than -share, generates a larger (smaller) effect than .
Propositions 1 and 2 imply some welfare consequences of R&D friendly policy. For example, suppose that the government of the South chooses to raise one of and around the steady state and that -share is greater than . If the impacts mentioned in Proposition 2 are negative, raising is better than raising , since the former increases the southern relative wage more and reduces the aggregate rate of innovation less. On the other hand, if the impacts are positive then it is ambiguous whether raising is better than raising because raising increases the southern relative wage more but it increases the aggregate rate of innovation less. In addition, if the impacts in Proposition 2 are negative, an increase in R&D subsidy and/or an increase in labor productivity in R&D aimed to encourage R&D outsourcing will get the contrary results—a smaller or a smaller .
To figure out the sign of the impact, is computed according to (20) and
Appendix C shows that we can define , such that when . Since , we get that if then and if then . That the initial steady-state scale of R&D outsourcing, that is, , is not too large means . Particularly, by (22), we have if and we also get that . In Appendix D, some results of comparative statics are derived and the results with unambiguous signs are summarized in Proposition 3 and Figure 1.
Proposition 3. In the steady-state equilibrium with , we get and for ; , , and for ; , , , , and for . In the steady-state equilibrium with , we get , , and for .
Proposition 3 indicates that the comparative statics mentioned in Proposition 2 are with negative signs if is greater than . Thus, many policy implications depend on if the scale of R&D outsourcing is large or is small.
In contrast with the general result in the literature (e.g., [7, 10, 17]) that an increase in the labor force for R&D raises the aggregate rate of innovation, Proposition 3 tells that an increase in the labor force in the North generates an indeterminate effect on the aggregate rate of innovation if and that an increase in the labor force in the South reduces the aggregate rate of innovation if . That a larger corresponds to a smaller when is mainly because are employed in two ways, R&D and manufacturing. As increases, the southern labor for manufacturing becomes more scarce. When is sufficiently large, a marginal increase in will be allocated to manufacturing and will result in a smaller ratio of employment in R&D to employment in manufacturing and, therefore, a reduction in .
Though is implied by (16), unfortunately it is not easy to tell what values of the parameters facilitate us to derive an analytical solution to or how is affected by each of the parameters. Nonetheless, Figure 1, together with Propositions 1 and 2, offers a guideline for policymakers once the steady-state equilibrium is realized and is known.
4. Concluding Remarks
This model incorporates southern innovation into product cycles and is structured as simple as possible while it still keeps the key character that the latest innovation through R&D replaces outdated products. It is shown that there are certain boundary conditions of the scale of R&D outsourcing which affect policy implications. Particularly, according to Propositions 1 and 2, when the scale of R&D outsourcing is large, the aggregate rate of innovation is negatively related with the rate of R&D subsidy. Therefore, a friendly policy to promote R&D outsourcing (given that all manufacturing tasks are outsourced from the North to the South) may be beneficial for both of the North and the South only if the scale of R&D outsourcing is small. This finding is in contrast to the result of Glass and Saggi  that the rate of innovation is raised by outsourcing (they only consider manufacturing outsourcing); therefore, international outsourcing can potentially create gains sufficient to offset the decline in the northern wage and to benefit the North as well as the South.
In general, I find that the results of comparative statics are affected by the sign of and by the scale of R&D outsourcing as shown in Figure 1, which indicates that considering R&D in the South through outsourcing is important. These contraries of comparative statics under different environments may offer a guideline for making policies to affect the relative wage and the rate of innovation.
Though innovative ability is not easy to gauge, patent statistics might be close measurements. Table 1 lists the patent statistics in Science and Engineering (S&E) Indicators 2008, which shows that Asia's share of patents granted at USA patent and Trademark Office (USPTO) and that granted in the European Patent Office (EPO) exhibit increasing trends between 1985 and 2006 mainly due to the performances of the developing countries such as China, India, South Korea, and Taiwan. These two patent offices are among the largest in the world in terms of volume of patents and have a significant share of applications and grants from foreign inventors. Table 1 shows that South Korea and Taiwan, respectively, have the share (in percentage) of 0.06 and 0.24 on USPTO, 0.01 and 0.06 on EPO in 1985, and the share is raised to 3.03 and 3.56 on USPTO in 2005, to 1.23 and 0.26 on EPO in 2006. In particular, Asia's inventors also patent more intensively in information and communications technology (ICT). S&E indicator particularly documents ICT and biotechnology patents due to their profound impact on global economy. ICT patents have helped to create new industries and products such as home computers, cellular phones, and wireless devices. ICT technology has revolutionized and improved productivity in non-ICT industries and services, such as the health, finance, and retail sectors. Asia has the smallest share of biotechnology patents from both patent offices compared with those of the United States and the EU, so we omit this part of report.
Consider the equilibrium where the measure of type- firm is strictly positive for all in . First of all, plugging in the following six conditions: into (4) to (14), we get the equilibrium conditions: Equations (B.2) and (B.3) give Equations (B.4) and (B.5) give Define as the aggregate rate of innovation, . , together with (B.6) and (B.7), gives us (16). Total differentiation of the above three equations evaluating at yields (20).
Let By we know that there is only one positive solution to and If , the LHS of (C.2) is less than zero; if , the LHS of (C.2) is equal to . Thus, we get . Let If we get . If we get . Since we get that for some . Thus, if then ; if then .
According to (20), we derive Each of the six equations is discussed in the following:(1)If then . If then .(2)Since we know that if then and . Since we know that if then and .(3)If then and , leading to .(4)Since without further information regarding the sign of we can not predict the sign of .(5)If then and , leading to .(6)If then . If then .
These results are summarized in Figure 1.
The author thanks the referees for useful comments. The usual disclaimer applies.
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