经济管理
經濟管理
경제관리
Economic Management Journal(EMJ)
2012年
3期
41~49
,共null页
总量生产率增长 技术效率 资源配置效应 进入效应 退出效应
總量生產率增長 技術效率 資源配置效應 進入效應 退齣效應
총량생산솔증장 기술효솔 자원배치효응 진입효응 퇴출효응
aggregate productivity growth ; technical efficiency ; resource reallocation ; entry effect ; exit effect
本文利用Petrin&Levinsohn(2011)(简称PL方法)提出的总量生产率增长的分析方法,通过对2000~2007年制造业总量生产率增长的分析表明,制造业总量生产率年均增长率为14.7%,其主要来源于存活企业的技术效率增长率和资源配置效应,而企业的进入和退出对总量生产率增长的贡献不大。对各省制造业的分析发现,各省区的总量生产率增长存在着显著的差异,其他地区增长率快于东部地区,这为近年来区域经济差异的缩小提供了一个可能的解释。而且,东部地区和其他地区制造业生产率的增长分别主要依赖于技术创新和资源有效配置。最后,生产率水平发生急剧变化的企业占制造业的比重不高,但对其总量生产率增长的影响很大,两者影响基本抵消;而生产率水平维持在高位的企业对总量生产率增长的贡献最大。
本文利用Petrin&Levinsohn(2011)(簡稱PL方法)提齣的總量生產率增長的分析方法,通過對2000~2007年製造業總量生產率增長的分析錶明,製造業總量生產率年均增長率為14.7%,其主要來源于存活企業的技術效率增長率和資源配置效應,而企業的進入和退齣對總量生產率增長的貢獻不大。對各省製造業的分析髮現,各省區的總量生產率增長存在著顯著的差異,其他地區增長率快于東部地區,這為近年來區域經濟差異的縮小提供瞭一箇可能的解釋。而且,東部地區和其他地區製造業生產率的增長分彆主要依賴于技術創新和資源有效配置。最後,生產率水平髮生急劇變化的企業佔製造業的比重不高,但對其總量生產率增長的影響很大,兩者影響基本牴消;而生產率水平維持在高位的企業對總量生產率增長的貢獻最大。
본문이용Petrin&Levinsohn(2011)(간칭PL방법)제출적총량생산솔증장적분석방법,통과대2000~2007년제조업총량생산솔증장적분석표명,제조업총량생산솔년균증장솔위14.7%,기주요래원우존활기업적기술효솔증장솔화자원배치효응,이기업적진입화퇴출대총량생산솔증장적공헌불대。대각성제조업적분석발현,각성구적총량생산솔증장존재착현저적차이,기타지구증장솔쾌우동부지구,저위근년래구역경제차이적축소제공료일개가능적해석。이차,동부지구화기타지구제조업생산솔적증장분별주요의뢰우기술창신화자원유효배치。최후,생산솔수평발생급극변화적기업점제조업적비중불고,단대기총량생산솔증장적영향흔대,량자영향기본저소;이생산솔수평유지재고위적기업대총량생산솔증장적공헌최대。
The paper uses the method proposed by Petrin and Levinsohn (2011) to analyze every Chinese manufacturing firm's contribution to the aggregate productivity growth of the whole manufacturing from 2000 to 2007, and decompose those contributions into within-firm allocation. Aggregate productivity growth is defined as the technical efficiency progress and between-firm resource difference between the change in aggregate final demand and the change in aggregate costs on primary inputs such as labor and capital, which links the demand side with the production side and therefore makes it have welfare implications. Using the decomposition methods on Chinese manufacturing, we mainly answer three questions : ( 1 ) which is the main source of China growth, input accumula- tion or TFP growth? (2) where does the TFP growth come from, the technology advancement or effective use of in- puts? (3) is there significant difference in the productivity dynamics across provinces and among firms with different level or growth rate of productivity? Answers to those questions help to understand of the Growth and provide a perspective about the role of technical progress and institutional changes cle. The data we use in the analysis come from the annual focus on the manufacturing industries. The analysis result growth rate of the value added of Chinese manufacturing is China's Pattern of growth mirasurvey conducted by National Bureau of Statistics and we shows that during the period of 2000 -2007 the average 15.27%, about 93% of which comes from the aggregate productivity growth. The estimate is high compared to existing research because of our different definition on aggregate productivity growth. Decomposing the aggregate productivity growth shows that on average the main source of aggregate productivity growth is from the incumbents rather than the net effect of entrants or exiters. That is, the incumbents contributed 89% of the aggregate productivity growth during the period while the net effect of exit and entry just contributed the rest 11%. For the incumbents, the technical efficiency makes almost the same contribution as resource allocation effect. However, it has a standard deviation that is 40% larger, which shows that the resource allocation has become a more stable support for the TFP growth in Chinese manufacturing than the technical progress. Then we analyze the respective contribution of labor, capital and intermediateinput to the resource allocation effect and find that the effective use of intermediate input makes the largest contribution each year during the period. The capital played a positive role in the aggregate productivity growth. However, its contribution is small compared to intermediate input, which might be due to the high adjustment costs associated with the capital reallo- cation. Contrary to the former two inputs, the labor input made a negative contribution to the aggregate productivity growth, indicating that labor input was not reallocated to more efficient firms. The reason might be that the rigid household registration system blocks the reallocation of labor across provinces. Therefore, policy makers should eliminatethe barriers to the labor movement. The analysis conducted on every province shows that for most provinces, the resource allocation effect is larger and has lower volatility than the technical efficiency progress, which is similar as the nationwide TFP growth dynamics. Nevertheless, significant difference in aggregate productivity growth is found among provinces. Specifically, the aggregate productivity growth of eastern provinces is lower than that of other provinces, which might explain why the region economic disparity is narrowing in recent years. Finally, I dis- cuss the role of firm heterogeneity in aggregate productivity growth in terms of the level and growth of productivity. The result shows that firms whoseproductivity move up or down rapidly contribute a lot to the aggregate productivity growth in opposite direction and their net effect is only 3 %. However, the firms that stay within the quintile of high productivity make the largest contribution to the aggregate productivity growth and it mainly comes from the resource reallocation.