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Human Capital, the Structure of Production, and Growth Antonio Ciccone and Elias Papaioannou. 李子明 2011.5.13. I. Introduction. Problem : Countries with higher initial education levels value-added and employment growth in schooling-intensive industries (1980-1990s)
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Human Capital, the Structure of Production, and GrowthAntonio Ciccone and Elias Papaioannou 李子明 2011.5.13
I. Introduction • Problem: Countries with higher initial education levels value-added and employment growth in schooling-intensive industries (1980-1990s) • Assumption: Schooling adoption of new and skilled-labor augmenting technology • Theoretical framework: (1)Technology adoption function from N-P (2)International specification • Main concern:(1)Human-capital-level effect (2)Openness of international trade • Empirical model
Weakness of former empirical study • Difficulties when specifying cross-country growth regression limit sample on countries’ specification • Mismeasured schooling data magnified bias by multicollinearity • Wayout: • channel between HC and growth--- technology adoption • skilled-labor-argumenting technology(高技术劳动扩张型技术)
II. Theoretical model • Assumption: Industry: s=0(Low HC),1(High HC) HC in country c at time t:Mc,t Lc,t Labor type: f=L,M Technology adoption: H=M/L Efficiency level:
II. Theoretical model • Efficiency growth from N-P: (1) • Implication: if world constant efficinecy growth • steady state :
II. Theoretical model • Steady state Output: Assuming: full employment in competitive labor market
II. Theoretical model • 稳态时高技术与低技术产业的相对产出: • 相对产出的国家间比较: FSE(factor supply effect) TAE(technology adoption effect)
Implication of (3) • FSEv.s TAE: Skilled-or unskilled-labor-augmenting technology Assume: (1) : so HCXC Z Skilled (+)2/3<3/4 (2) : so HCXC Z Unskilled (-)3/2>4/3
Implication of (3) • cross-country comparison: if Hc>Hq, skilled-labor-augment • (3)(4)
Output: • Country-specific effect • industry-specific effect • η:(= )unskilled labor –augmenting technological change • g(hc,t)s: (g(hc,t)= - ) impact of initial HC
Remark1 • assumption on time-constant HC : • If HC increase in time, the supply of HC and the differential output between high and low HC industries would increase through labor movement Low HCintensive industry High HC intensive industry
Remark 2 • single industry pairs in a neoclassical multi-industry model • monopolistic competition and transport cost • Alternative theoretical framework: 不依赖人力资本水平,只要人力资本的供给量高,人力资本密集型产业的全要素生产就多
III. Data • Country-Industry: • value-added and employment data of 28 industries in countries • Industry level: table I of American data • Country level: • benchmark measure of HC • standard source of per capital GDP, capital-output ratio, trade openness, rule of law indicator, property rights institutions
IV Empirical model-main result • 1. Initial Education Level and Industry Growth • Table 2 Benchmark estimation
IV Empirical model-main result • 2. Improvements in Schooling and Industry Growth(Table 3 (1)-(4)) • 3 Openness(Table 3 (5)-(8))
IV Empirical model---Further Evidence and Sensitivity Analysis • Human Capital-Other Industry Characterisitics(T4)(E(6)) • Country Characteristics(T5)(E(7)) • Alternative Measures of Human Capital(T6) • Alternative Sample Periods(T7)
VI. Conclusion • 研究人力资本对经济增长的影响,需要考察人力资本如何在技术运用发挥作用 • 教育水平较高的国家将更快的掌握skilled-labor-augumenting technology • 学校教育密集性产业在教育水平较高的国家增长的更快,因此该国产业更可能向教育密集型产业升级 • 在开放经济下,初始教育水平的对经济增长和产业结果的作用更突出