环境约束下的制造业生产率增长分析

本文引入Malmquist-Luenberger生产率指数,对比分析环境约束和无约束情形下的2001-2008年中国制造业28个细分行业生产率增长状况。进一步的,本文分别将行业全要素生产率指数、技术进步指数及技术效率指数作为生产率增长指标,选取资本深化、行业规模、科技投入、环境污染和行业属性作为解释变量,利用面板数据回归模型分析环境约束下生产率增长影响因素。研究发现,忽略环境约束会低估制造业技术效率水平及其指数,但会高估技术进步指数和全要素生产率指数;分析结果表明影响因素对生产率增长均有显著影响。     

中国钢铁行业全要素生产效率实证分析

基于动态DEA的非参数Malmquist指数法,分析了1992～2007年中国28个省市钢铁行业全要素生产率以及七大经济区钢铁行业全要素生产率变动情况,并将全要素生产率的变动分解为技术进步、纯技术效率、规模效率三个指标,分析了这三个指标对中国钢铁行业全要素生产率的影响。结果显示,中国钢铁行业TFP的增长主要是由技术进步推动的,当技术进步促进TFP提升时,总会受到技术效率相对下降对TFP增长的抑制;七大经济区钢铁行业全要素生产率存在明显级差,低效经济区学习和追赶高效经济区的效应也应该发挥更大作用;钢铁产业各经济区产能应实现在高效率地区的相对集中,获取行业的规模经济;各经济区都应该注重钢铁行业管理水平的提高,突破钢铁行业能效提高的技术效率瓶颈。     

Technical and environmental efficiencies and best management practices in agriculture

An Input Distance Function (IDF) is estimated to empirically evaluate and analyse the technical and environmental efficiencies of 210 farms located in the Chaudière watershed (Quebec), where water quality problems are particularly acute because of the production of undesirable outputs that are jointly produced with agricultural products. The true IDF is approximated by a flexible translog functional form estimated using a full information maximum likelihood method. Technical and environmental efficiencies are disaggregated across farms and account for spatial variations. Our results show that there is a significant correlation between the two efficiencies. The IDF is used to compute the cumulative Malmquist productivity index and the Fisher index. The two indices are used to measure changes in technology, profitability, efficiency and productivity in response to the adoption of two selected Best Management Practices (BMPs) whose objective is to reduce water pollution. We found significant differences across BMPs regarding the direction and the magnitude of their effect.     

创新溢出如何影响我国省际环境全要素生产率 ——基于DEA-ESDA方法的实证分析

基于2008-2017年省际面板数据,运用非径向、非角度的SBM—DDF模型和GML指数,测算了内地30个省市的环境全要素生产率,借助引力模型,对区域创新溢出进行了量化和空间网络结构分析,进一步搭建空间计量模型,实证分析了创新溢出对我国省际环境全要素生产率的影响。研究结果表明,环境全要素生产率存在显著的空间正相关性;创新溢出能够有效促进GTFP增长,技术进步为主要影响路径;技术市场化水平提升有助于GTFP增长;经济发展和对外开放水平仅对本区域GTFP起促进作用;人力资本水平和环境规制显著制约了GTFP发展;人力资本水平、对外开放水平、环境规制强度对技术效率改善存在显著负向影响。     

Efficiency change,technological change and capital accumulation in Italian regions: a sectoral study

This paper examines the sources of labour productivity in the Italian regions during the period 1980–2004. Five economic sectors are investigated using data envelopment analysis (DEA) and taking into account productive specialisation and sector inefficiencies. Labour productivity change is decomposed into five components by means of Malmquist productivity indices: intra-sector efficiency change, composition efficiency change, input-biased technical change, magnitude component technical change and capital accumulation. Using bootstrap procedure, the components of labour productivity changes are statistically tested. Efficiency analysis shows that productive specialisation is not a source of inefficiency and efficiency gains can be obtained by sector-specific policies. Thus, it is possible to obtain improvements in efficiency in each sector of activity rather than reallocating resources among sectors. The results of the decomposition by sectors reveal heterogeneous sources of growth. The total economy has shown evidence of non-neutral technical change and, it has been found that agriculture, industry and construction experienced capital using technical change. The analysis of the decomposition of the labour productivity growth is complemented by an analysis of β-convergence.     

Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices

The non-parametric measures of efficiency and productivity do not enable to fathom the underlying technology changes in terms of input saving and consumption. However, the bias-corrected Malmquist productivity index offers a remedy to this shortcoming. This paper, thus, employed the bias-corrected Malmquist productivity index to measurement of the total factor productivity changes in the Lithuanian family farms. The paper employed the Malmquist productivity indices to measure the technical changes (TCs) in terms of input-saving or input-use. Specifically, a sample of 200 family farms was used for the analysis. The research period covered years 2004–2009. The three farming types were considered, namely crop, livestock, and mixed farming. The analysis indicted that crop farming was peculiar with land-using and asset-saving TC, whereas labour-using and intermediate consumption saving TCs were observed only for certain combinations of inputs. As for livestock farms these generally experienced intermediate consumption and asset saving TCs against all the remaining inputs, whereas labour-saving and land-using TC varied with the reference inputs. Finally, mixed farms can be considered as those peculiar with increasing land use and decreasing capital consumption. Labour-using and intermediate consumption saving TCs did also hold for most of the analysed factors. The Lithuanian agricultural sector has not been analysed by the means of the bias-corrected Malmquist indices. Furthermore, there is a gap in the literature on the efficiency and total factor productivity in the Lithuanian farms in general. The present study, therefore, presents insights on the technology change based on non-parametric estimates.     

环境约束下中国与世界主要国家技术效率和生产率的测度与比较

运用含非期望产出的超效率SBM(slack based measure)模型和GML(global Malmquist-Luenberger)指数,对中国与世界主要国家1991—2016年的分别在考虑和不考虑环境约束下的技术效率和全要素生产率进行测度与比较。研究发现,不考虑环境约束的测度结果忽略了一国发展所造成的污染损失,导致技术效率与生产率被高估;中国的技术效率在考虑环境因素后显著下降,总效率排名从样本中的第16位下降至第40位。时间趋势上,中国的环境效率与技术效率的差距呈现先扩大后缩小,且近年来有逐渐趋同的态势;动态视角上,不考虑环境约束时中国的全要素生产率变化总体呈现增长趋势,但在考虑环境因素后中国的环境全要素生产率转变为下降趋势,这其中,技术进步的下降是影响环境全要素生产率变化的主要因素。     

Dynamic environmental performance analysis: A Malmquist index approach

This article presents a general framework for dynamic environmental performance analysis by generalizing the approach proposed by Kuosmanen and Kortelainen [Kuosmanen, T., Kortelainen, M., 2005. Measuring Eco-Efficiency of Production with Data Envelopment Analysis. Journal of Industrial Ecology 9(4), 59-72.] from a static to a dynamic setting. For this purpose we construct an environmental performance index (EPI) by applying frontier efficiency techniques and a Malmquist index approach. Compared to other dynamic environmental productivity and efficiency analysis approaches based on these methods, our approach builds on the standard definition of eco-efficiency as it is presented in the ecological economics literature. Recognizing the importance to analyze the sources of environmental performance changes, we show how changes in overall environmental performance can be decomposed into changes in relative eco-efficiency and shifts in environmental technology, respectively. We apply the presented technique at the macro level to dynamic environmental performance analysis of 20 member states of the European Union in 1990-2003. According to the results, environmental technical change mostly explains the improvement in overall environmental performance, while relative eco-efficiency change has been minor for most countries during the sample period.     

Productivity,technical efficiency and technological change in French agriculture during 2002-2015: a Färe-Primont index decomposition using group frontiers and meta-frontier

The objective of the article is to assess productivity change in French agriculture during 2002–2015; namely, total factor productivity (TFP) change and its components – technological change and efficiency change. For this, we use the Färe-Primont index which verifies the multiplicatively completeness property and is also transitive, allowing for multi-temporal and -lateral comparisons. We investigate the extent of heterogeneity within each type of farming sub-sample in terms of TFP change, with the help of the Herfindahl-Hirschman index (HHI). In addition, to compare the technologies among the five types of farming considered, we extend our analysis to the meta-frontier framework. Results indicate that during 2002–2015, all farms experienced TFP progress. The smallest average increase was experienced by the dairy farms and the largest by the field crop farms and the beef farms. The latter had the strongest technological progress but a deterioration in efficiency, while the opposite was found for field crop farms. The analysis of HHI reveals that sheep or goat farms are the most homogenous in terms of the direction of TFP change experienced over the period 2002–2015. The meta-frontier analysis shows that field crop farms’ technology is the most productive of all the types of farming.     

基于数据包络(DEA)分析的京津冀地区环境绩效评估研究

提高资源环境绩效是区域生态环境治理的核心与关键。在构建环境绩效评估指标体系的基础上，运用数据包络分析模型（DEA）测度并分析2005-2015年京津冀地区静态环境绩效水平。利用Malmquist指数动态分析法将环境绩效分解为技术效率变化指数和技术进步指数，并探讨分解指标对环境绩效的相对贡献。结果显示：京津冀地区环境治理投入与产出水平均呈现逐年上升趋势；北京和天津的总体环境绩效水平要远高于河北，2005-2011年京津冀地区的环境绩效水平排序为北京、天津、河北,2012-2015年京津冀地区的环境绩效水平排序为天津、北京、河北（2013年除外）。河北省环境绩效水平较低的主要制约因素是技术进步缓慢与全要素生产率偏低。Malmquist指数呈现出一定的波性，这主要是由技术变化指标波动所致。最后，就如何提升京津冀地区环境绩效水平，提出相关对策建议。     

Analyses of technical efficiency using SDF and DEA models: evidence from Nepalese agriculture

Alleviation of poverty is a central issue in Nepal. Given the limited stock of land and the infant/unorganized manufacturing sector, increased demand for food has to be satisfied by improving production efficiency. This article examines how this could be achieved. Stochastic distance function and data envelopment analysis models identify the existence of a high degree of technical inefficiency in Nepalese agriculture, suggesting that there is a substantial prospect of increasing agricultural productivity using the existing level of inputs and resources more efficiently. Among the three farm sizes in the data set, medium size farmers achieve a higher technical efficiency than large and small farm sizes, suggesting that productive efficiency can be increased with the encouragement of creating medium size holdings. The observed decreasing returns to scale also implies that productivity gains could be achieved by breaking up of large farms into small family farms. The technical inefficiency model suggests the potential for shifting the production frontier upwards by providing ownership of land, increasing farmers’ education and knowledge, and increasing land quality, including irrigation facilities.     

Singapore's Manufacturing Sector's TFP Growth: A Decomposition Analysis

Singapore has been criticized recently for experiencing insignificant total factor productivity (TFP) growth. This paper examines whether this criticism is valid in the context of the manufacturing sector of Singapore. Using new data and the stochastic production frontier approach, TFP growth is decomposed into technological progress and changes in technical efficiency. While the results could not reject the hypothesis that Singapore's output growth is mostly input-driven, they show that, despite technological progress, technical inefficiency is the cause for the low and declining TFP growth in the manufacturing sector.J. Comp. Econom., December 2000, 28(4), pp. 828–839. The University of Queensland; Research School of Pacific and Asian Studies, The Australian National University.     

广东省高技术产业各行业效率变化的实证研究

采用基于DEA的Malmquist生产率指数法,选取5个投入指标和4个产出指标对1995—2008年广东省高技术产业的4个细分行业进行多投入、多产出的动态效率测度。结果表明:1995—2008年期间广东省高技术产业全要素生产率的年均增长率为12.3%,这是技术进步和技术效率共同推动的结果,其贡献率分别为11.1%和1.1%;电子及通信设备制造业全要素生产率的平均增长率最高,主要由技术进步推动;其次是医疗设备及仪器仪表制造业,由技术进步和规模效率共同推动;然后依次是电子计算机及办公设备制造业和医药制造业,技术进步是两者的主要推动力量。最后,提出促进广东省高技术产业生产率提升的政策建议。     

Local environmental regulation and plant-level productivity

This paper examines the impact of environmental regulation on the productivity of manufacturing plants in the United States. Establishment-level data from three Censuses of Manufactures are used to estimate 3-factor Cobb-Douglas production functions that include a measure of the stringency of environmental regulation faced by manufacturing plants. In contrast to previous studies, this paper examines effects on plants in all manufacturing industries, not just those in “dirty” industries. Further, this paper employs spatial-temporal variation in environmental compliance costs to identify effects, using a time-varying county-level index that is based on multiple years of establishment-level data from the Pollution Abatement Costs and Expenditures survey and the Annual Survey of Manufactures. Results suggest that, for the average manufacturing plant, there is no statistically significant effect on productivity of being in a county with higher environmental compliance costs. For the average plant, the main effect of environmental regulation may not be in the spatial and temporal dimensions.     

中国省域环境保护与经济发展双赢平衡研究

使用Meta frontier-DEA模型，结合Malmquist-Luenberger指数探讨了环境效率视角下中国内地29个省市环境保护与经济发展之间双赢平衡的实现程度，分析了不同省域的环境技术异质性，测算了各省市环境效率及其改进潜力，同时研究了环境效率的动态变化情况。结果表明，只有少数省市实现了经济发展与环境保护的“双赢”平衡，不同群组省份具有显著的环境技术异质性，技术因素和管理因素是潜在环境效率的重要来源。结果可为地方政府根据实际情况制定相关政策提供依据，促进环境管理与技术进步协调发展，从而实现环境保护与经济发展的双赢平衡。     

Efficiency and productivity in the Indian unorganized manufacturing sector: did reforms matter?

This paper analyzes total factor productivity growth of the unorganized manufacturing sector in India using several rounds of the large scale national sample survey state level data for 15 major Indian states for the period 1978–1979 to 2000–2001. Data envelopment analysis is used to compute Malmquist total factor productivity index and its components. The impact of economic reforms on efficiency and productivity is examined. Evidence suggests that total factor productivity registered a positive growth during the period in the country as a whole. Most states in the country witnessed higher total factor productivity growth in the post 1990s reforms period than in the pre-reforms period. Decomposition of the Malmquist productivity index shows that improvement in technical efficiency rather than technical progress had contributed to the observed acceleration in the growth rate. Econometric analysis of the determinants of total factor productivity growth demonstrates that ownership, literacy, farm growth and infrastructure availability significantly influence total factor productivity growth in the sector.

中国城市绿色全要素生产率测度研究

基于考虑"能源消耗"与"环境污染"的超效率SBM模型,采用全局参比的Globe-Malmquist-Luenberger(GML)指数测算中国283个城市的绿色全要素生产率(GTFP)。研究发现:(1)城市绿色全要素生产率、技术效率和技术进步分别以年均3.5%、1.2%和2.3%的速度增长,GTFP的增长动力主要来源于技术进步,而作为"绿色软技术"的技术效率贡献相对不足;(2)三大区域绿色全要素生产率平均增幅东部>中部>西部,技术进步差异是GTFP区域差距形成的主要原因,不同时期区域发展战略和环境政策在城市绿色转型中的作用存在异质性;(3)超大及特大城市、行政等级较高的城市绿色全要素生产率增长具有领先优势,且研究期内不同层级城市GTFP差距呈现先缩小后扩大的趋势。     

Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist-Luenberger index

This paper employs the Malmquist-Luenberger (ML) productivity index to evaluate China's growth in total factor productivity (TFP), incorporating undesirable outputs, during the period from 1989 to 2008. The ML productivity index and its components (technical and efficiency changes) are derived from the directional distance function which gives credit for an increase in good outputs and for reductions in undesirable outputs. The average annual ML productivity growth, accounting for undesirable outputs, is 2.46%, whereas the value of the traditional Malmquist productivity index is 4.84%, showing that the true TFP growth in China is overestimated if undesirable outputs are ignored. We explore the strictness in enforcing environmental regulations and its impact on improvements in ML productivity. The results show that, the enforcement of environmental regulations in China is, in general, far below the levels achieved in the best performing regions, and that the more stringent enforcement of environmental regulations would help to improve ML productivity growth in China.     

The effects of the new communications media on employment

The post-World War II economic growth happened in a context of significant productivity gains in the industrial sector and an increasing demand for services, where productivity gains remained quite low. This explains the strong expansion of employment in the tertiary sector relatively to the industrial sector. In the 1970s, this growth pattern reached a crisis point: in most Western economies, productivity gains lagged in the industrial sector while no visible changes occurred in productivity in the service sector.With the more widespread use of data processing and the emergence of new communication media, this trend showed signs of reversal. Information handling activities showed considerable productivity gains, rivaling those previously seen in industry. And the spur for technical progress, once limited to the industry, appears to have spread to the services and information sector.With respect to employment, this tendency could lead to a reduction in employment in the tertiary sector. So the new technologies would come about at the worst possible moment, with all time high unemployment rates in Western economies.So it is not surprising to see the current temptation to delay the process, or to adopt a so called “two-speed growth strategy”: the strongest productivity gains would be enhanced in the traded sector (mostly the industrial sector) where foreign competition is most prevalent; and the resulting cost on employment would be offset by maintaining low productivity levels in the protected sector which, to the present, has typically been the services sector.The present analysis takes a more optimistic stand-point on the net effect of technical progress on employment. The authors focus on the interplay between productivity in the exposed sector and productivity in services, with emphasis on the necessity for decreasing unit costs in the protected sector, enabling the traded sector to remain competitive.     

环境规制二重性：抑制还是促进技术进步

波特假说从动态角度提出,环境规制能产生创新补偿效应,促进企业技术进步与生产率提高,并减少甚至弥补企业的遵循成本。以波特假说为理论依据,基于武汉城市圈2003-2014年面板数据,选取3种不同废弃物规制强度,运用Malmquist-Luenberger指数定量测度武汉城市圈内环境规制对技术创新的影响,并进一步运用面板固定效应模型拟合环境规制与技术创新的关系。主要结论如下：①武汉城市圈环境规制能够有力推进武汉城市圈经济绿色化发展,促进绿色技术进步,但不同污染物的环境规制效果应有所区别;②圈内环境规制对技术进步的促进作用呈现U型关系,说明短期内环境规制产生的遵循成本抑制了企业创新,而从中长期看,环境规则会倒逼企业提升生产率,通过技术创新减少污染物排放。