21,024 research outputs found

    An Investigation of Firm-Level R&D Capabilities in East Asia

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    This paper uses a survey of 1,826 firms distributed over ten East Asian metropolitan areas – Jakarta, Kuala Lumpur, Manila, Seoul, and five Chinese cities – to investigate the sources of firm-level R&D capabilities. The analysis identifies the impact of 23 survey variables, classified by openness, human capital, R&D network, and institutional quality, on the efficiency of firm R&D operations and on overall firm performance. These firmlevel results are used to construct composite measures R&D capabilities for each of the 10 metropolitan economies. Using the firm samples, returns to R&D are also estimated for each of the metropolitan areas. Where cross economy comparisons are possible, as they are for Seoul and the five Chinese cities, we find a strong association between overall R&D productivity in these city economies and the composite measures of citywide R&D capabilities. In particular, high composite measures in Seoul and Shanghai are associated with high returns to R&D in those cities. The large productivitywage gaps in the Chinese cities appear to be attracting large and visible investment in R&D operations. Whether R&D wages rise to narrow this gap or investment and technology flows continue to sustain the gap will substantially affect the pattern of R&D operations within the Asian region.http://deepblue.lib.umich.edu/bitstream/2027.42/39969/3/wp583.pd

    "Domestic Innovation and Chinese Regional Growth, 1991-2004"

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    We examine the return to innovation in terms of economic growth at the provincial level to assess whether or not policies that promote R&D, such as China’s Science and Technology Policy, have been productive for all of China’s regions. The return to innovation at the provincial level is estimated using a value-added Cobb-Douglas production function. The measure of the effect of innovation (patenting activity) is valued-added industrial output. The data are a balanced panel for 30 provinces for the period 1991-2004. We find that the production function including innovation fits the Chinese provincial level data well. These estimates indicate that technology plays a positive role in industrial growth at the provincial level; however, the contribution of technology is far too small, which indicates that China’s economic growth is largely driven by the factor inputs. The results support the views that the linkages between innovation activity and commercialization of new technology are weak within Chinese domestic firms which have difficulties in exploiting and adopting the new technologies. The results also indicate that the inter-regional technology spillovers are positive but relatively small and weak, compared to the European regions and the states in the US. The estimated results further confirm that the impact of industrial reforms during the period of 1994-99 on China’s technological development is negative, as there seems to be neither exogenous technical progress nor technology’s contribution to the value-added industrial output during those years.China, patents, productivity, innovation, regions

    Migrants and firms : evidence from China

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    The scientific influence of nations on global scientific and technological development

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    Determining how scientific achievements influence the subsequent process of knowledge creation is a fundamental step in order to build a unified ecosystem for studying the dynamics of innovation and competitiveness. Relying separately on data about scientific production on one side, through bibliometric indicators, and about technological advancements on the other side, through patents statistics, gives only a limited insight on the key interplay between science and technology which, as a matter of fact, move forward together within the innovation space. In this paper, using citation data of both research papers and patents, we quantify the direct influence of the scientific outputs of nations on further advancements in science and on the introduction of new technologies. Our analysis highlights the presence of geo-cultural clusters of nations with similar innovation system features, and unveils the heterogeneous coupled dynamics of scientific and technological advancements. This study represents a step forward in the buildup of an inclusive framework for knowledge creation and innovation

    Mutual productivity spillovers between foreign and local firms in China

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    The existing literature treats advanced technology sourcing as the only cause of reverse productivity spillovers from local to foreign firms and implies that mutual spillovers between foreign and local firms can only happen in the developed world. This paper argues that the diffusion of indigenous technology and local knowledge helps the productivity enhancement of multinationals, so that there can be mutual spillovers even in a developing country. The results from a large-sample firm-level econometric analysis and a comparative case study of seven companies in Chinese manufacturing support this new argument, as mutual spillovers are identified between local Chinese firms and overseas Chinese or OECD-invested firms

    Regional innovation and spillover effects of foreign direct investment in China: a threshold approach

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    Using a data set on twenty-nine Chinese provinces for the period 1985–2008, this paper establishes a threshold model to analyse the relationship between spillover effects of foreign direct investment (FDI) and regional innovation in China. There is clear evidence of double-threshold effects of regional innovation on productivity spillovers from FDI. Specifically, only when the level of regional innovation reaches the minimum innovation threshold will FDI in the region begin to produce positive productivity spillovers. Furthermore, positive productivity spillovers from FDI will be substantial only when the level of regional innovation attains a higher threshold. The double threshold divides Chinese provinces into three super-regions in terms of innovation, with most provinces positioned within the middle-level innovation super-region. Policy implications are discussed
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