MARC Bibliographic Record

LEADER03351cam a2200397Ii 4500
001 991022055525302122
005 20151030024307.0
006 m o d
007 cr |||||||||||
008 151030s2015 maua ob 000 0 eng d
035    $a(OCoLC)ocn927176490
035    $a(EXLNZ-01UWI_NETWORK)9911220064102121
040    $aOUN$beng$erda$cOUN$dGZM
043    $an-us---$aa-cc---$aa-ii---
049    $aGZMA
090    $aH11$b.N2434x no.21657
100 1_ $aShen, Keting,$eauthor.
245 10 $aMeasuring changes in the bilateral technology gaps between China, India and the U.S. 1979-2008 /$cKeting Shen, Jing Wang, John Whalley.
264 _1 $aCambridge, Mass. :$bNational Bureau of Economic Research,$c2015.
300    $a1 online resource (33 pages) :$billustrations.
336    $atext$btxt$2rdacontent
337    $acomputer$bc$2rdamedia
338    $aonline resource$bcr$2rdacarrier
490 1_ $aNBER working paper series ;$vno. 21657
588    $aDescription based on online resource; title from http://www.nber.org/papers/21657 viewed October 30, 2015.
500    $a"October 2015"
504    $aIncludes bibliographical references (pages 32-33).
520    $aPopular literature suggests a rapid narrowing of the technology gap between China and the U.S. based on large percentage increases in Chinese patent applications, and equally large increases in college registrants and completed PhDs (especially in sciences) in China in recent years. Little literature attempts to measure the technology gap directly using estimates of country aggregate technologies. This gap is usually thought to be smaller than differences in GDP per capita since the later reflect both differing factor endowments and technology parameters. This paper assesses changes in China's technology gaps both with the U.S. and India between 1979 and 2008, comparing the technology level of these economies using a CES production framework in which the technology gap is reflected in the change of technology parameters. Our measure is related to but differs from the Malmquist index. We determine the parameter values for country technology by using calibration procedures. Our calculations suggest that the technology gap between China and the U.S. is significantly larger than that between India and the U.S. for the period before 2008. The pairwise gaps between the U.S. and China, and the U.S. and India remain large while narrowing at a slower rate than GDP per worker. Although China has a higher growth rate of total factor productivity than India over the period, the bilateral technology gap between China and India is still in India's favor. India had higher income per worker than China in the 1970's, and China's much more rapid physical and human capital accumulation has allowed China to move ahead, but a bilateral technology gap remains.
650 _0 $aTechnological innovations$zUnited States$xEvaluation$xEconometric models.
650 _0 $aTechnological innovations$zChina$xEvaluation$xEconometric models.
650 _0 $aTechnological innovations$zIndia$xEvaluation$xEconometric models.
700 1_ $aWang, Jing,$eauthor.
700 1_ $aWhalley, John,$eauthor.
710 2_ $aNational Bureau of Economic Research,$epublisher.
830 _0 $aWorking paper series (National Bureau of Economic Research) ;$vno. 21657.
856 40 $uhttp://www.nber.org/papers/w21657
950    $a20151030$bmem$cc$de$egls$9local
997    $aMARCIVE

MMS IDs

Document ID: 9911220064102121
Network Electronic IDs: 9911220064102121
Network Physical IDs:
mms_mad_ids: 991022055525302122