| Literature DB >> 22849392 |
Inthira Yamabhai1, Richard D Smith.
Abstract
BACKGROUND: Although it has been two decades since the Thai Patent Act was amended to comply with the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS), there has been little emphasis given to assessing the implications of this amendment. The purpose of this review is to summarize the health and economic impact of patent protection, with a focus on the experience of Thailand.Entities:
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Year: 2012 PMID: 22849392 PMCID: PMC3485113 DOI: 10.1186/1478-4505-10-24
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Figure 1Conceptual framework of the implications of patenting on health and economic.
Keywords related to a research area
| Patent policy | Intellectual property rights, Patent protection, Patent TRIPS, TRIPS Plus, TRIP flexibility, Free trade agreement Trade agreement |
| Health | Public Health, Health, Drug, Pharmaceutical, Medicine |
| Price | Price, Budget, Profit, Revenue |
| Access | Access, Afford/Affordability, Available/Availability |
| Innovation | Innovation, Research and development/R&D, Incentive New molecular entity, Invention |
| Economic growth | Investment, Trade/International Trade, Foreign direct investment/FDI, Economic growth |
Empirical studies of the implications of patenting on price
| Watal (2000)/[ | 1985-1992 | India, 22 patentable medicines in mailbox (varied in wide therapeutic areas) | The effect of product patents, price control and compulsory licensing on medicine prices and welfare. | Demand function estimation | Comparing effects from different demand functions—the constant elasticity demand and the linear demand function—and estimating price as a composite of the demand function. |
| Fink (2000)/[ | 1992 | India, two therapeutic groups: quinolones and synthetic hypotensives | The impact of product patents on medicine price and pharmaceutical company’s profit | Demand function estimation | Modeling a demand function as a two-stage decision-making process (chemical entity and brands under that chemical entity). Then estimating price and profit under each substitution elasticity among chemical entities and among brands. |
| Boersma et.al. (2005)/[ | 1996 to 2001 | The Netherlands, three medicines whose patents expired between 1996 and 2001 | To observe price and share prior to and after patent expiration | Observational study | Trend analysis of volumes and price (measured as defined daily doses (DDD) prior to and after patent expiries were calculated |
| Suh et al. (2000)/[ | 1984-1987 | USA, 35 chemical entities whose patents expired between 1984 and 1987 | The effect of generic medicine entry on price after patent expiration | Regression analysis | Collecting descriptive statistics of price after patent expiration and analysing the influential factors affecting price, which are number of multiple-source medicines, market growth, market size, profitability, severity of illness, duration of treatment, and number of years after patent expiration. |
| Magazzini et al. (2004)/[ | July 1987-December 1998 (Quarterly data) | USA, UK, Germany, and France, all medicines whose patents expired within the study period | Price and determinant of price after patent expiry | Regression analysis | Collecting descriptive statistics of prices before and after patent expiration. Using regression of the price with control of market share of the patented products, market size, % of sales to the hospital segment, the average market growth, the number of brand names, ratio of the average price of original products, etc. |
| Grabowski and Vernon (1992)/[ | 1983-1986 | USA, 18 expired patent medicines | The pricing and competitive behaviour after patent expiration | Regression analysis | Using descriptive statistics of price index of the overall market, original medicine, and generic medicine. Using regression of the determinant of generic entry. |
| Griliches and Cockburn (1994)/[ | 1987-1990 | USA, two anti-infective drugs: cephalexin and cephradine | The pricing and competitive behaviour after patent expiration | Observational study | Calculating the aggregate price indexes for a simple two-goods world where consumers buy either the brand or the generic version of a drug. |
| Borrell (2007)/[ | 1995-2000 | 14 antiretroviral therapy medicines in 34 low and middle income countries. | The impact of patents on medicine prices across developing countries | Regression analysis | Developing a price function as a composite function of the number of medicines in patent and non-patent regimes, number of generics after patent expiration, number of doses per day, efficacy, adverse reactions, and number of years in the US market. |
| Supakankunti et. al. (1999)/[ | 1987-1998 | Thailand, six therapeutic categories were chosen to represent the patented market | The effect of new patent law on price | Observational study | There were no patented medicines so these medicines were selected by other criteria. Descriptive statistics were used to report the price movement or trend of the real price and nominal price of branded and generic medicines. |
| Limpananont et. al. (2004)/[ | 2001-2004 | Thailand, antiretroviral therapy medicines | Price differences of patented and generic medicines | Observational study | Comparing and calculating the price ratio of patented and generic DDD prices |
| Jones et al. (2001)/[ | 1981-1994 | Canada, 82 medicines from the British Columbia Pharmacare Programme. | The impact of the Canadian Patent Act in 1987 | Regression analysis | Using descriptive statistics of prices before and after 1987 and log regression of generic market share, one factor, to predict market price. |
| Challu (1995)/’ [ | 1987- | Italy, 38 medicines | The impact of the 1978 patent law change | Observational study | Comparing new drug prices in Italy before and after the 1978 patent law. Using US prices as a reference. |
Empirical studies of the implications of patenting on present access
| Akaleephan et al. (2009) [ | 2000-2003 | Thailand, top 70 imported medicines. | The implications of the TRIPS-Plus proposal, and extension of patent life on price and access | Regression analysis and Modelling | It was assumed that the first medicine patent expired in 2003. Drug consumption and budget from using generic were estimated. This cost was then compared with increased cost from patent life extension. |
| Yamabhai et al. (2009) [ | 2006-2008 | Thailand, 7 government use licensed medicines in ARVs, heart disease and anti-cancer | The implications of Thailand's government use licenses on health and trade and foreign investment | Regression analysis and Markov model | Estimating the increased no. of patients with access to government use license medicines from the current number of access and up to 5 years. The Markov model was used to simulate the heath impact. Trend analysis of export and foreign direct investment was employed. |
| Attaran (2004)/[ | 2003 | 65 low and middle income countries, 319 WHO essential medicines | How many medicines are under patent in low and middle income countries? | Survey | Surveying pharmaceutical companies and their patent agents to determine where and how patentable medicines in the essential list of the WHO are now patented in developing countries |
| Borrell (2003)/[ | 1995-1999 | 34 low and middle income countries, HIV/AIDS medicines | The impact of patent rights on medicine sales: reducing or increasing. | Modelling | Developing two simultaneous relationships: (1) the relationship between the likely entry decision across drug-country-year triplets and patents; and (2) the relationship between market coverage (i.e. mean coverage of patients with a specific ARV drug) and patents conditional on drug entry decisions and patent regime. |
Empirical studies of the implications of patenting on incentive to introduce medicine to market
| Mansfield (1986)/[ | 1981-1983 | 100 U.S. manufacturing firms from twelve industries including the pharmaceutical industry | The effect of patent protection on the rate of development and commercialization of inventions. | Survey | Surveying U.S. manufacturing firms in order to know the proportion of its inventions developed in 1981–83 that would not have been developed and or commercially introduced if it could not have obtained a patent. |
| Lanjouw (2005)/[ | 1982-2002 | 68 countries at all income levels and including all medicine launches over the period of study. | How patent rights and price regulation affect whether new medicines are marketed in a country, and how quickly | Probit model | Using probit models of the probability that a new medicine is launched in a given country within either two years or ten years of the medicine’s first appearance in the global market and a log-logistic hazard model of the time path of country launches |
Empirical studies of the implications of patenting on incentive to invent new medicine
| Grootendorst(2007)/ [ | 1988-2002 | Canada, prescription medicine expenditure | The implications of patent policies (Bills C-22 and C-91) on medicine expenditure and on R&D activity | Modelling | 1. Estimating the medicine expenditures as a function of year dummies and lagged public drug expenditures, while controlling for a vector of other covariates that could affect drug spending. 2.Estimating R&D expenditure whose patent policy changed as an influenced factor |
| Hughes et al. (2002)/[ | 2001 | USA | The effect of patent termination on current and future patients | Modelling | From models developed by various scholars during 1987–2002, five step models were estimated:1) the effect of patent termination on total revenue, 2) the effect of total revenue on R&D budget, 3) the effect of R&D budget on new medicine development, 4) the effect of new medicine on life year and 5) life year in monetary term |
| Giaccotto C. et al. (2005)/[ | 1980-2001 | USA | The effect of price control policy on number of new drugs | Modelling | Estimating the decreased R&D budget as a function of five main items (price, GDP, foreign sales, dummy variables representing the years for which the Kefauver-Harris amendment and the Waxman-Hatch Act). The value of forgone R&D was then used to calculate the number of forgone drugs by dividing with $802 million (cost of R&D per drug) |
| Colleen (2003)/[ | 1980-1990 | USA, six compulsory licensing (CL) medicines | The rate of innovation activities of pharmaceutical companies after CL | Observational study | Observing the rate of patenting and other measures of inventive activity five years before and after CL |
Empirical studies of the implications of patenting on economic growth and/or foreign direct investment
| TDRI (2003)/[ | 2003 | Thailand | The impact of Thai-US FTA on export and import | Computable General Equilibrium (CGE) | Estimating benefit from trade in goods and the benefit to the economy as a whole by matching the industries that have higher revealed comparative advantage (RCA) index |
| Ferrantino (1993)/[ | 1982 | U.S. firm, U.S. affiliated in 45 countries | The effect of IPR on trade and investment flows | Gravity model | Using dummy (0/1) variables to reflect differences in national IPR protection schemes and control for economic risk (distance, phone, landlocked, colony and European countries), political risk (Paris Convention member, restriction to foreign firm, number of international memberships, duration of patent), labour costs, population and GDP, while dependent variables are total export, royalty fee, sales of affiliate |
| Markus and Penubarti (1995)/[ | 1984 | 28 manufacturing sectors across 77 countries | The effect of IPR protection on trade flows | Regression | Using an empirical model in which deviations of bilateral sectoral imports from anticipated levels are related to income, trade barriers, and patent laws |
| Braga and Fink (1999)/[ | 1989 | 89 countries from developed to least developed countries | The effects of increased protection on intellectual property | Gravity model | Using a gravity model of bilateral trade, foreign direct investment, and technology licensing and estimating the effects of increased protection on a cross-section of 89x88 countries. Using the index on national IPRs systems developed by Park and Ginarte (1996). Estimating the effects of explanatory variables (such as IPRs, GDP and population of both countries, geographical distance, a common border, language) |
| Pradhan (2007)/[ | 1970-2000 | India | The effect of patent protection on pharmaceutical exports | Gravity model | Using a gravity model consisting of GDP of the importing country, distance, trading bloc dummy, price and exchange rate |
| Kondo (1995)/[ | 1976-1980 | U.S. outward FDI in 33 countries | The effect of patent protection on FDI | Survey (for IPR index) and Multiple regression of FDI testing | Developing their own patent index including scope, patent life, and provision from weighted point survey firm. Then using control factors of GDP per capita, population, education, English language, GATT member and ICSID member. |
| Pfister and Deffain (2005)/[ | 1994-1995 | The location choices of French firms in 17 developing countries | The role of the patent rights in the host country | A conditional logit model | The independent variable is the decision to invest in the countries. The independent variables are number of French competitors, number of subsidiaries, openness, GDP, GDP per capita, consumer price index, status of EU union, national R&D investment over GDP, education, democracy, corruption, patent protection index (Ginarte and Park index), and dummy variable of the exceeding patent protection index. |
| Fosfuri (2004)/[ | four time periods:1981–1983, 1984–1987, 1988–1991, 1992–1996. | 75 countries receiving investments in chemical plants during the period 1981–1996 | The impact of IPRs protection compared with country risk on the determinants of international activity through wholly owned operations, joint-ventures and technology licensing, | OLS, Tobit and GLS random effect | Independent variables are income per capita, population, weighted distance of country, averaged years of schooling among the total population, (exports + imports)/GDP, global index of risk, composite index of risk (political, financial and economic), dummy variables for number of scientists and engineers per million of population, time fixed effect, and IPR index by Ginarte and Park |
| Nunnenkamp and Spatz (2004)/[ | 1995 and 2000 | U.S. FDI and US FDI in industrial level in 166 countries | The relationship between IPR protection and overall FDI and by industry | Gravity model regression | Finding FDI determinants through a regression of FDI on GDP per capita, population, distance to U.S., the cost of living abroad, average years of schooling and IPRs index using Ginarte-Park for the year 1995 and World Economic Freedom (WEF) index for the year 2000. Testing the industry characteristics by adding industry dummies in the previous independent variable set. |
| Lee and Mansfield (1996)/[ | 1991 | U.S. firms and investment in 14 developingcountries | The effect of IPR protection level on U.S. firm’s FDI and the role of IPRs protection in chemical industry | 1. Survey for IPRs protection perception 2. OLS regression 3. Tobit model for chemical industry | Surveying perceived weakness of IPR protection from 94 US firms and developing two regression models to find the influence of IPR protection level for overall US FDI and level of technology transfer in the chemical industry. For OLS of overall US FDI, independent variables are weakness of IPR, size of market, with control for firm specific and country specific, IPR index, market size, dummy for Mexico, FDI in previous year, degree of industrialization, openness, and time dummy variables. For Tobit model from 14 US chemical industries, the independent variables are the percentage of firms that felt weakness of IPR protection, GDP, and dummy variables for firms, while the dependent variable is the percentage of firms that will invest in facilities for sales and distribution. |
| An et al. (2008)/[ | 1995 (for FDI or licensing) and 1994 (for exporting) | U.S. FDI in 52 manufacturing industries invested in 62 host countries | To examine the effect of strengthening IPR protection on the mode of technology transfer: exporting, FDI or licensing | A multinomial logit model of three mode of entry choices | The explanatory variables covering national characteristics, GDP, absorptive capacity, distance, cultural distance (English and index developed by authors), FDI fixed cost (economic freedom index), market capitalisation and investment cost index, and IPR index from Ginarte and Park 1990. The industry characteristics variables are industry R&D intensity and capital intensity (the ratio of total real capital stock to total industry sales). |
| Maskus (1998)/[ | 1989-1992 | U.S. FDI in 46 countries | The effect of patent protection on U.S. patent applications filed in host country, total sales of foreign affiliates of U.S. parents, U.S. exports shipped to affiliates and total assets, foreign affiliates of U.S. parents | Seemingly Unrelated Regression | Estimating a simultaneous set of equations to capture these joint impacts, controlling for market size, tariff protection, the level of local R&D by affiliates, distance from the US, investment incentives (proportion of affiliates receiving tax concession numbers in host country and in any of the countries) and disincentives (proportion of affiliates that employ a minimum amount of local personnel no. in host country and in any of the countries. |
| Javorcik (2004)/[ | 1995 | 1,405 global firms investing in Eastern European countries | The impact of intellectual property protection on the volume of FDI | Survey and Probit model | A questionnaire of decision to invest in any country and mode of entry was developed. Using a Tobit regression of the decision and mode of entry on GDP per capita, population, corporate tax rate, legal effectiveness, corruption, privatization, openness, the overall progress in reform, effectiveness of the legal system, corruption level, privatization policies and openness to trade. For testing the mode of entry, the author included firm specific variables such as firm sales, R&D outlays as a percentage of net sales, selling, general & administrative expenses as a percentage of net sales, the number of four-digit SIC codes describing a firm’s activities and a dummy variable of each investor’s regional experience in the region before 1989. |
| Du et al. (2008)/[ | 1993-2001 | 6,288 US firms investing in various regions of China | The impacts of four economic institutions variables, including property rights protection, the degree of government intervention in business operations, the degree of government corruption and contract enforcement, on the location choice of foreign direct investment | Discrete choice model | A survey was conducted of private enterprises in China to create three indexes which are the degree of government intervention in business operations, the degree of government corruption, and contract enforcement. The other concerned variables are the agglomeration, dummy for presence of US Embassy or Consulates and dummy for government promotion policies, wages, infrastructures (length of highway per square kilometre in a region), and education (percent of higher education students in the region). IPR index is the logarithm of the patent per capita approved number. |
| Kawai (2009)/[ | 1998-2006 | 1,839 Japanese manufacturing firms investing in China | The determinants of Japanese manufacturing firms’ location decisions in China | A conditional logit model | Empirical models were developed and tested. The dependent variable is choice of investment (1 = Yes, 0 = No). The independent variables are natural logarithms of the number of Special Economic Zones, IPRs index, natural logarithm of the share of total investment in fixed assets by state-owned units in relation to total investment, GDP, labour costs, road infrastructure and natural logarithm number of Japanese manufacturers All explanatory variables are lagged by one year. |
| Seyoum (2006)/[ | 1990 and 1995 | 63 countries | The impact of patent protection FDI | The OLS regression | Using the set of independent variables which include patent index by Ginarte and Park (1997) and controlling other variables such as market size, GDP growth, exchange rates, population, corruption, unemployment, trade/GDP, scientists and engineers, GDP growth |
| Lesser (2002)/[ | 1998 | FDI in 44 developing countries | The effects of stronger IPR protection in the areas of imports and Foreign Direct Investment (FDI) | Multiple regression | The variables includes income per capita, past FDI, exchange rates, tariffs, the proportion of previous year FDI to GNP of pervious year, and the degree of industrialization. A new index was developed that uses membership in international treaties to measure the scope and efficiency of IPR. |
| Park and Ginarte (1997)/[ | 1960–1990 | 60 countries from developed to least developed countries | The impact of IPR protection on economic growth (GDP growth) | Regression | Creating an IPR index and estimating a system of equations to identify the effect of IPR protection and other national characteristics on economic growth such as R&D activity, investment, and education |
| Athukorala and Kohpaiboon (2006)/[ | 1990-2001 (three-year intervals) | 168 US-based MNEs that have invested internationally (42 countries) | The determinants of the international location of R&D activity by foreign affiliates of US-based MNEs | Regression analysis | Included control variables are real GDP, distance, percentage of domestic sales in total affiliate sale turnover, technology intensity index, R&D personnel per million population, wages of technical personnel, tax incentives for firm-level R&D activities, intellectual property rights index (from World Economic Forum, Global Competitiveness Report), capital stock of US firms, an index of R&D potential of output mix, dummy variables for developing countries other than NICs, newly industrialized countries in East Asia, financial crisis dummy, and vector of time dummy variables |
| Blyde and Acea (2003)/[ | 1985, 1990 and 1995 | The sources of FDI are 19 OECD countries and 40 countries as the recipients of FDI, 8 of which are from Latin America. | The inflows of foreign direct investment of Latin America and developing countries after TRIPS | The gravity model | The independent variables are GDP per capita, population, dummy of common language, past colonial links and region, distance between countries, Ginarte-Park IPR index |
| Supakankunti et al. (2001)/[ | 1988-1998 | Thailand | The impact of patent law change in 1992 on FDI in Thailand | Observation | Providing the trend of FDI for industry in general and specifically for the chemical industry in Thailand |
Figure 2Availability of empirical evidence and direction of the relationship.