Abstract
This chapter attempts to advance understanding of the crucial links among growth, technological change, human capital accumulation, and openness and their impact on greenhouse gas (GHG)-related research and development (R&D) output in East Asia, specifically China, Japan, Korea, and Taiwan. Looking at the 1952–2004 period, I test not only for the impacts of a science and technology (S&T) and innovation set of GHG-output related inputs, but also test for the presence of the Environmental Kuznets Curve (EKC) in terms of the GDP-CO2 emissions relationship. This research builds upon the works of various important growth theorists, including Solow (1956, 1957), Nelson and Phelps (1966), Mankiw et al. (1992) and especially Benhabib and Spiegel (1994, 2002). The latter demonstrated the role of human capital on technological development (or more specifically technology catch-up) between 72 and 86 nations over extended periods of time, 1965–1985 and 1960–1995, respectively. In all of these studies, however, there is a limited role for openness to trade, capital, or technology in explaining variations in growth rates across countries. Nevertheless, and although certainly still controversial, many of the studies that have been done on East Asia and its so-called “economic miracle” argue that it is greater openness to trade, capital flows, and technology that have distinguished the East Asian experience from that of Latin America, Africa or other regions of developing countries.
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- 1.
I do not model the minutiae of the decision-making process for the providers or receivers of this technology.
- 2.
The Pascha and Mahlich (2007) volume discusses these domestic efforts in Korea and Northeast Asia.
- 3.
- 4.
These estimates of α and (1–α) conform with Benhabib and Spiegel (2002).
- 5.
“Learning by doing” is the education process which occurs during production. This education may occur in a training facility (college- or firm-based) separate from the production floor, or it can happen in the S&T case by reviewing publications and patents.
- 6.
Jones (2002), p. 126.
- 7.
“Tacit knowledge” is defined here, in accordance with queryLangloi and Foss (1997), p. 17), as knowledge which “can be acquired only through a time-consuming process of learning by doing.” (For a definition of “learning by doing”, see fn. 11)
- 8.
For example, the growing share of employment in the service sectors may represent an institutional infrastructure requiring more technology-supporting services, such as the marketing, finance, and transportation of advanced technologies.
- 9.
Yang and Maskus also point out that the increase in technology transfer via inward licensing may occur with higher costs per license and possibly higher prices. Ultimately, the economic effects in terms of welfare are uncertain.
- 10.
The distinction here, it should be noted, is in terms of capital goods imports, not FDI.
- 11.
The First Basic Plan (1996–2000) targeted increases in government expenditures and a new R&D system; the Second Basic Plan (2001–2005) focused on increases in the knowledge base and increasing the competition for research funds.
- 12.
Innovative technologies received 52.3 billion yen, S&T diplomacy received 46.7 billion yen, regional (domestic) system promotion received 69.3 billion yen, and public-private R&D projects received 19.5 billion yen.
- 13.
For example, SO2, NOx, and CO2.
- 14.
Others examine pollution in the form of sewage discharge in China, which is peripheral to our discussion of GHG emissions, but they conclude that technical progress tends to reduce the amount of industrial wastewater pollutants (Gu et al. 2009). Another China-based case study looks specifically at how the EKC in China also focuses on the country’s first special economic zone (SEZ). In Shenzhen, for example, production-induced pollutants were found to support the EKC, although consumption-induced pollutants did not (Liu et al. 2007).
- 15.
This measure is used as one of two proxies for GHG-based innovation in the subsequent regression analysis.
- 16.
Future work on endogenous growth in an EKC framework should attempt to examine the determinants of growth which are uncorrelated with CO2 emissions. Such efforts may still be plagued with endogeneity problems, given policy efforts to tackle climate change.
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Shapiro, M.A. (2012). Long-Run Protection: Determining Key Features of Growth and Sustainability in Northeast Asia. In: Mahlich, J., Pascha, W. (eds) Korean Science and Technology in an International Perspective. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2753-8_16
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