长三角工业企业全要素生产率的测算与比较

采用DEA-Malmquist法,对1998-2011年长三角地区工业企业的全要素生产率进行了测算和分解,并把长三角地区的工业行业分为三类。研究表明,1998-2011年长三角地区工业企业的全要素生产率呈现稳步上升的趋势,平均增长率为9.3%,且主要由技术进步拉动。不同类别工业行业间的全要素生产率有较大差别,技术效率变化是造成差异的主要原因。低生产率工业行业的生产总值占工业总产值的比重较高,阻碍了工业生产率的提高,也是今后转型升级的重点所在。     

我国服务贸易进口的技术效应分析

文章基于DEA的Malmquist指数方法将全要素生产率（TFP）分解为技术进步（TP）和技术效率（TE）,按照要素密集度把服务贸易划分为劳动密集型、资本密集型、技术与知识密集型服务贸易三类,研究了三种要素密集型的服务贸易进口分别对全要素生产率、技术进步和技术效率的影响,结果发现,劳动密集型服务贸易进口对TFP、TP和TE均无显著影响,资本密集型服务贸易进口对TFP有显著影响,但对TP和TE没有显著影响,技术与知识密集型服务贸易进口对TFP、TP和TE均有显著影响。最后,文章在此研究结论的基础上提出了相应的政策建议。     

国内R&D投入、国际R&D溢出与全要素生产率

本文从服务贸易进口、FDI流入和积聚效应等方面扩展了CH模型,并以APEC17个成员作为研究对象,运用动态面板数据模型研究了国内R&D、国际R&D溢出对全要素生产率、技术效率和技术进步的影响,得出了3个具有稳健性的一般性结论:(1)全要素生产率、技术效率和技术进步存在显著的积聚效应;(2)本国R&D资本存量有助于提升技术效率,但是能否促进技术进步则依赖于R&D投入强度;(3)通过服务贸易渠道获得的国际R&D溢出对全要素生产率和技术进步均有显著的促进作用。     

Assessing the output and productivity growth of Malaysia’s manufacturing sector

Given the importance of the manufacturing sector in the second-tier newly industrializing economy of Malaysia, this paper uses the stochastic frontier approach to assess the growth potential of this sector. This is performed by first estimating the production function by using panel data comprising 28 manufacturing industries over the period of 1981–1996. Unlike previous studies that used the growth accounting approach, here output growth is not just decomposed into input growth and total factor productivity growth but total factor productivity growth is further decomposed into technological progress and technical efficiency, thereby providing more direction for policy making.     

中国装备制造业全要素生产率增长的分解:1998-2009——基于省际面板数据的研究

本文采用超越对数的随机前沿生产函数和1998-2009年的省际面板数据,测算了中国各地区装备制造业的全要素生产率(TFP)增长率,并从技术进步、技术效率变化、规模效率变化、配置效率变化四个方面对中国装备制造业全要素生产率变化的特点进行了分析。经验结果表明,样本期间内,全国以及东、中、西部地区装备制造业的TFP都有所增长,其增速皆呈现出先增后减再增的趋势;TFP增长对全国装备制造业产出增长的贡献率相对较低,仅为0.117。对TFP增长的分解发现,技术进步已成为中国装备制造业TFP增长的主要源泉,配置效率和规模效率恶化则严重阻碍了中国装备制造业TFP水平的提高。分地区来看,中部地区的TFP增长率最高,东部次之,西部最低,这主要是由于西部地区装备制造业要素配置效率的下降最为严重,东部地区规模效率的下降最为严重。     

Total factor productivity, the east Asian miracle, and the world production frontier

Total Factor Productivity, the East Asian Miracle, and the World Production Frontier. — The post WWII growth of the East Asian Tiger states has stimulated the discussion about its determinants. Young and Krugman hold that high capital accumulation rather than gains in efficiency or technological progress has spurred growth. Nelson and Pack, however, have recently criticized the methods of measuring technological progress. Applying the nonparametric approach to frontier production function determination and the Malmquist index of total factor productivity change, the authors take up this criticism. They calculate productivity indicators for a sample of 18 American, Asian, and European countries. For the Tiger states, their results confirm that capital accumulation was the main source of growth in 1960-1973, whereas they find evidence for an increasing importance of efficiency improvements for the growth in 1973-1990.     

Productivity Growth in Different Plant‐size Groups in the Malaysian Manufacturing Sector*

In the present study, we develop a stochastic frontier production model that allows for different groups of firms to have different patterns of technical efficiency over time. We apply our model to the Malaysian manufacturing sector to decompose total factor productivity growth into technical efficiency change and technical progress for different plant size groups (e.g. large and small) in seven industries during 2000–2004. Our empirical results indicate that technical efficiency has worsened across all industries and plant‐size groups. In contrast, we find evidence of substantial technical progress in all industries. In fact, technical progress has been larger than technical efficiency deterioration in most industries and plant‐size groups, leading to total factor productivity growth. Our analysis identifies the industries and plant‐size groups that lag the most in terms of productivity, and thus have the greatest scope for policies that facilitate productivity growth.     

Factor Determinants of Total Factor Productivity Growth in Malaysian Manufacturing Industries: a decomposition analysis

To decompose total factor productivity growth into technical progress, technical efficiency change, allocative efficiency change, and scale efficiency change, a stochastic frontier approach was applied to Malaysian manufacturing data covering the period 2000 to 2004. The results show that total factor productivity was driven mainly by technical progress but was hurt by deteriorating technical efficiency. Scale efficiency and allocative efficiency also exerted significant influences on total factor productivity. The skill and quality of workers were the most important determinants of technical efficiency, whereas foreign ownership, imports, and employee quality underpinned technical progress. The impact of firm size on scale economies differed across industries.     

Trade and the structure of South African production, 1984-97

With the onset of trade liberalisation, fears have been raised concerning the impact of trade on manufacturing output, employment and growth. Using an input–output methodology, this article decomposes South African output growth between 1984 and 1997 into final demand expansion, trade flows and technology. There are two main findings. First, trade liberalisation has not deindustrialised the manufacturing sector. Although import penetration has risen, export growth has matched and exceeded the potential import-induced losses in domestic production. South Africa's response thus conforms closely to international evidence. Secondly, a combination of strong growth in capital-intensive exports and import penetration in ultra-labour-intensive sectors has aided the structural shift in production towards capital-intensive sectors. However, capital-biased supply-side policies, as well as endemic problems within ultra-labour-intensive sectors, suggest that domestic factors and not trade liberalisation lie behind this shift.     

Liberalisation, FDI, and productivity spillovers--an analysis of Indian manufacturing firms

The objective of the intensification of reforms in India's trade,technology and industry policies in 1991 was to make Indianindustry competitive. In the light of these attempted changes,the present paper tested two hypotheses, namely (a) whetherliberalisation has improved the productivity of local firms;and (b) whether the spillovers from technology transfer haveincreased in the liberal regime. To test these, techniques frompanel data and stochastic production frontier were employedon 487 firms belonging to 24 three-digit manufacturing industriesfor the period 1989–90 to 1996–97. The results showedthat after liberalisation, the productivity of Indian industry,especially the foreign owned firms, has improved. The econometricresults suggested that only ‘scientific’ non-FDIfirms have benefited from the liberalisation. For the ‘non-scientific’firms, the impact is found to be productivity depressing. Withrespect to spillovers, only those domestic firms, which investedin R&D to decode the spilled knowledge, could benefit.     

Competitiveness of China's Manufacturing Industry and its Impacts on the Neighbouring Countries

This paper investigates the rapid growth of China's share in the international commodity market and the structural changes of China's commodity exports. It demonstrates a significant improvement of international competitiveness in China's manufacturing sector. The panel data analysis, based on a Solow–Swan type growth model on China's 37 manufacturing industries from 1991 to 2002, reveals that the main sources of the strengthened competitiveness of China's manufacturing sector have been mainly from Total Factor Productivity (TFP), while labour productivity has been increasing and capital productivity has been falling. A preliminary empirical analysis on the impacts of China's increasing competitiveness finds that there are negative correlations between China and most of its neighbouring countries, both newly industrialised economies and other Southeast Asian developing economies. However, there is no evidence of negative impacts of China's increasing competitiveness on developed countries such as the United States and Japan.     

中国粮食生产的技术效率与全要素生产率增长：1978-2008

本文利用1978—2008年间我国30个省市区的面板数据,对改革开放以来我国粮食生产进行了随机前沿分析。以此为基础,对我国粮食生产技术效率进行了影响因素分析,并对粮食生产全要素生产率增长进行分解和趋势分析。结果表明,农业基础设施建设和制度因素是影响我国粮食生产技术效率的关键因素;我国粮食产量增长主要是由投入要素的增长拉动,31年间全要素生产率的平均增长率为1．17％,TFP对我国粮食产量的贡献很小,其原因在于技术进步与技术效率变化呈现相反趋势。2004年以来,技术效率提高的速度持续下降,技术进步逐渐成为TFP增长的主要动力。     

Agricultural productivity evolution in China: A generalized decomposition of the Luenberger-Hicks-Moorsteen productivity indicator

China has undergone a series of agricultural policy reforms since 1978. The measurement of the productivity gains and identification of the underlying drivers thereof are important facets of policy analysis. The commonly used Total Factor Productivity (TFP) measures often lack such desirable properties as completeness or independence of the direction of the optimization (orientation). In this paper, we take a top down approach by beginning with a TFP measure and then decomposing it into three mutually exclusive, exhaustive elements. In particular, we begin with the additively complete Luenberger-Hicks-Moorsteen (LHM) TFP indicator that takes into account both input and output changes when measuring productivity and then additively decompose it into measures of technological progress, technical efficiency change, and scale efficiency change. We develop a generalized decomposition of the LHM TFP indicator which encompasses both input-oriented and output-oriented changes over time. We illustrate this additively complete LHM TFP indicator using agricultural data from 31 Chinese provinces over the period 1997–2015. Our empirical results show that Chinese agricultural productivity growth (3.05% per annum) was mainly driven by technological progress (2.35% p.a.), with relatively small contributions from scale efficiency change (0.65% p.a.) and technical efficiency change (0.04% p.a.). We also found that productivity change and the relative importance of its components varied across both time and provinces.     

Trade liberalization and productivity growth in Australian manufacturing industries

Although there has been a revival of interest in the trade-growth nexus, the impact of trade liberalization on productivity gains remains empirical, given the ambiguity in the literature on this issue. This paper examines the case for Australia using annual data of eight two-digit manufacturing industries from 1968–69 to 1994–95. Unlike earlier studies, total factor productivity growth is first decomposed into technological progress and gains in technical efficiency, and the effect of trade liberalization is then investigated separately on TFP growth, as well as on each of the components of TFP growth. The empirical finding that trade liberalization has a positive and significant effect on technological progress, but no significant effect on gains in technical efficiency, adds yet another dimension to the evaluation of trade liberalization policies.     

The growth of China and India: implications and policy reform options for Malaysia

This study explores the trade‐related impacts of rapid growth of China and India on the Malaysian economy and evaluates policy options to better position Malaysia to take advantage of these changes. Higher growth in China and India is likely to raise Malaysia's national income and to expand Malaysia's natural resource and agricultural exports, while putting downward pressure on exports from some manufacturing and service sectors. Increases in the quality and variety of exports from China and India are likely to increase substantially the overall gains to Malaysia. The expansion of the natural resource sectors and the contraction of manufacturing and services reflect a Dutch‐disease effect that will raise the importance of policies to facilitate adaptation to the changing world economy and improve competitiveness. Most‐favoured‐nation (MFN) liberalisation would increase welfare, and, by increasing competitiveness, raise output and exports of key industries. Preferential liberalisation with India and completely free trade with China would provide greater market access gains than MFN reform, but neither would be as effective in increasing income as MFN liberalisation, and free trade agreements would lead to greater competitive pressure on many of Malaysia's industries than MFN liberalisation. Increased investments in education and infrastructure could boost manufacturing and services sectors in Malaysia, while improving trade logistics would benefit sectors with high transport costs, including the agricultural and resource‐based industries.     

基于SFA的我国中东部经济发展效率差异性的实证分析

以10个省1999—2008年的面板数据为基础,运用基于超越对数的随机前沿生产函数模型,分析了中东部经济发展的技术效率、技术进步和全要素生产率,研究发现:中部的技术效率和技术进步要低于东部,中部对资本和劳动力投入的依存度较大,但中部的效率变化值很大,导致全要素生产率大于东部,中东部经济发展差异存在着减小的趋势。     

贸易开放与工资差距——基于中国制造业行业面板数据的实证研究

本文在中国贸易非均衡发展现状基础上,构建计量模型,从商品价格机制、技术进步机制和生产率进步机制角度探讨中国贸易开放影响中国制造业行业间工资差距的具体传导机制。研究发现:(1)就制造业总体而言,贸易主要通过技术进步机制和劳动生产率机制来影响行业工资,造成行业间工资差距的扩大。(2)具体而言,劳动力密集型行业中,进出口贸易、资本密集度和劳动生产率共同作用于行业工资差距;在资本密集型行业中,进口贸易、资本密集度和劳动生产率是扩大工资差距的动因;在技术密集型行业中,出口贸易是工资差距扩大的主导因素。     

Openness and total factor productivity in Swedish manufacturing, 1980–1995

Openness and Total Factor Productivity in Swedish Manufacturing, 1980–1995. — This paper studies the effect of openness on total factor productivity (TFP) growth. Using industry-level data for Swedish manufacturing from 1980 to 1995, the paper shows that integrated industries tend to be more engaged in R&D and have more entry and exit activity than other industries. The results show that domestic R&D intensity does not contribute to the TFP growth rate. Instead, openness to international markets, which helps facilitate technology spillovers, is an important factor. There is also some evidence that producers exiting the market are less productive, implying that such exits will increase the average productivity of the industry.     

Productivity and economic growth in East Asia: innovation, efficiency and accumulation

This paper uses a varying coefficients frontier production function model to examine the sources of growth between 1987 and 1993 in four East Asian economies—Hong Kong, Singapore, Japan and South Korea. Using data for 20 manufacturing sectors at the three-digit SIC level, this study provides the first comprehensive examination of sources of growth that allows one to decompose total factor productivity growth, separating out technical efficiency changes (TECs) from technological progress (TP). We find that while there is ample evidence of the importance of increasing inputs in growth, and there is some support for technical efficiency change, or catching up to the frontier over this period, there is weak or even negative evidence for the role of technological progress, measured as a shift in the estimated production frontier.     

Procyclical Productivity and Output Growth in China: An Econometric Analysis

This paper analyzes the procyclical behavior of Chinese Total Factor Productivity (TFP). It shows that measured Solow residuals are correlated to the growth rate of real imports per worker and to other macroeconomic variables that fluctuate at cyclical frequencies. The magnitude of the trend shift in TFP after the start of economic reforms in 1978 is found to be robust to the introduction of cyclical factor utilization and other systematic influences on productivity. The propagation mechanisms of macroeconomic shocks to output are also evaluated on the basis of a seven-variable VAR system. The empirical results indicate that the growing openness of the economy has contributed to sustaining the observed long run productivity increases and has raised spatial inequality.