Productivity Growth and its Components in Chinese Agriculture after Reforms

This study uses nonparametric Malmquist procedures to investigate the temporal and spatial nature of productivity growth and its components in Chinese agriculture over the period 1980–1995. The results of this study indicate that total factor productivity grew at 2.4% annually with technical change augmenting the growth by 3.8% while efficiency change reduced productivity growth by 1.3%. For all provinces, 288 out of a total of 442 cases experienced productivity growth while the rest showed productivity regression during this post-reform period. Coexistence of improvement in technical change and retardation in efficiency change indicates the lack of success in diffusing the existing agricultural technology. Continuing innovation and efficiency improvement through capital investment, modern input use, and greater competitive market pressures are important for augmenting productivity growth in Chinese agriculture.     

Productivity Trends in Australian and New Zealand Manufacturing

The purpose of this article is to study relative trends in total factor productivity (TFP) between the Australian and New Zealand manufacturing sectors from 1986 to 1996. Since 1984 both economies have undergone major structural changes with varying degrees of speed and intensity. We use the Malmquist index to measure TFP growth and decompose it into an efficiency change and a technical change component. This decomposition provides extra insight on assessing relative productivity trends during a period of economic reform. The results indicate the Australian manufacturing sector exhibits better rates of individual factor productivity performance while multifactor productivity is estimated to be higher in New Zealand manufacturing. TFP growth in New Zealand is driven by technical rather than efficiency change. In fact, the New Zealand manufacturing average rate of efficiency change is estimated to be negative over the sample period.     

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.     

Dynamic productivity growth and its determinants in the Indonesian food and beverages industry

ABSTRACT

This research investigates dynamic productivity growth and its determinants in the Indonesian food and beverages industry decomposing dynamic productivity growth into the contributions of dynamic technical inefficiency change, dynamic technical change, and dynamic scale inefficiency change. The empirical application employs unbalanced panel data of 44 subsectors in the Indonesian food and beverages industry over 1990–2014. To estimate dynamic productivity growth, this research uses a Luenberger indicator accounting for the presence of adjustment costs. The results show that dynamic productivity growth exhibits a decreasing trend. Dynamic technical inefficiency change and dynamic scale inefficiency change contribute positively to dynamic productivity growth, while dynamic technical change contributes negatively. Dynamic productivity growth is affected by the change in industrial concentration, the growth rate of capital intensity, the growth rate of exports, the growth rate of foreign direct investment, and location.     

Technical change and the measurement of productivity in an input-output model

This paper examines the relationship between technical change and partial and total factor productivity measurement in an n-sector input-output economy. The level of productivity is shown to increase if there is technical change and constant final demands. However, the aggregate level of productivity can fall if there is technical change and if final demands alter. The relationship between technical change and productivity is complicated and counterintuitive results can occur. When the rate of growth of productivity is analyzed, it is found that productivity growth can decline when there is technical change and accelerating technical change, even if final demands are constant. Implications for intranational and international productivity comparisons are discussed.     

Sulphur emissions and productivity growth in industrialised countries

Abstract ** :  In this paper, we examine the relationship between economic and environmental performance. More specifically, we analyse the impact of SO2 reduction in the eighties (1980–1992) on productivity growth, technical efficiency and technological progress for a set of 12 OECD countries. Our timeframe roughly corresponds to the adoption and implementation of the First Sulphur Protocol signed in 1985. First, we estimate an output based Malmquist productivity index using distance functions derived from successive DEA (Data Envelopment Analysis) frontiers. This index is decomposed in two components namely technical and efficiency change. Second, we regress the change in productivity and its two components on a set of explanatory variables including annual variations in SO2 emissions. The results indicate that reductions in SO2 do not seem to have had a significant impact on productivity growth. The decomposition into efficiency and technology changes suggests that two countervailing effects may explain this result. On one hand, SO2 cutbacks adversely affect efficiency but on the other hand, they stimulate technical change .     

Human capital in OECD countries: Technical change,efficiency and productivity

The aim of this paper is to analyse the role of human capital in the productivity gains of the OECD countries in the period 1965-90, breaking down the productivity gains into technical change and gains in efficiency. For this purpose we use both a stochastic frontier approach and a non-parametric approach (DEA) and calculate Malmquist indices of productivity. The results obtained indicate the existence of both a level effect (a higher level of human capital raises labour productivity) and a rate effect (a higher level of human capital affects positively the rate of technical change) associated with human capital. The differences among countries in endowments of human capital have worked against labour productivity convergence, since the richer countries, thanks to their greater endowment of human capital, have experienced higher rates of technical change.     

总需求、国际贸易与我国省际生产率变化——基于省际面板数据的研究

全要素生产率的提高是促进经济持续增长的重要原因,对生产率的研究,主要是从供给方面展开的,本文试图从需求角度研究全要素生产率变动的原因。理论上看,总需求通过影响技术创新、技术选择、规模经济效益和要素的使用效率等途径引起生产率的变化,国际贸易则通过促进分工深化、产生技术溢出等促进生产率的提高。然后,本文采用数据包络分析方法测算了中国省际全要素生产率变化,并将其分解为技术效率的变化和技术进步。结果发现中国改革开放以来全要素生产率增长主要是技术进步的结果,技术效率的作用很小。在测算和分解的基础上,利用省际面板数据,就总需求和国际贸易对生产率增长的影响作了实证分析,发现最终消费和资本形成对技术进步和全要素生产率的提高作用显著,出口对生产率增长的作用不显著,进口显著地促进了省际全要素生产率增长和技术进步。     

Parametric Approaches to Productivity Measurement: A Comparison among Alternative Models

This paper deals with modeling total factor productivity (TFP) growth in a flexible manner using panel data. Several competing parametric models are used to explore whether there are any similarities in the estimates of TFP growth and technical change among these models. Using a primal approach, we decompose TFP growth into different components. The models are then used to measure productivity and technical change in the Swedish cement industry. In general, the results are found to be model dependent and often conflicting, although much less so for returns to scale and overall productivity growth.
JEL classification: O 30; C 33     

Total factor productivity change of MENA microfinance institutions: A Malmquist productivity index approach

The main purpose of this paper is to investigate productivity changes of 33 Middle East and North Africa microfinance institutions over the period of 2006–2011 by using the Malmquist productivity index (MPI) method and a balanced panel dataset of 198 observations. The empirical findings indicate that the microfinance industry has reported overall productivity regress in the study period even though all the MENA MFIs have positive TFP growth with the exception of the year 2010–2011. In addition, our study indicates that over the period the Malmquist productivity change experienced by the MENA microfinance industry as a whole has averaged 4.9% annually which was mainly attributed to technical efficiency change. The study reveals also that the industry as a whole has exhibited a decline in technological change (2.9% decrease over the period) and suggested that there has been a deterioration in the performance of the best practicing MFIs. By decomposing the Malmquist index, the result showed that during the study period the MENA MFIs have experienced mainly an increment of pure technical efficiency (improvement in management practices) rather than an improvement in optimum size. Overall, an essential strategic implication for the MENA microfinance industry is that they need to pursue a technological progress in order to meet the dual objectives of reaching many poor people and financial sustainability.     

Technological Change in Australian Manufacturing

In the modern era, the extent and character of technical change features prominently in discussions of productivity growth and movements in the competitiveness of manufacturing. While technical change is pervasive in modern manufacturing, it occurs unevenly. In this study, technical change is estimated by fitting dual cost functions for each of 38 sectors of Australian manufacturing over the 32 year period, 1968–69 to 1999–2000. The estimates show that technical change is heavily labour-saving in all industries, but that the overall rate of change, as measured by a rate of cost diminution, and the degree of bias towards saving labour, rather than capital or material, varies substantially across industries.     

低碳约束下中国全要素生产率的时空演变——基于Sequential Malmquist-Luenberger生产率指数分解方法

在全要素框架下运用基于连续前沿的Malmquist-Luenberger生产率增长指数方法,估算了1987—2009年中国28个省(自治区、直辖市)的低碳全要素生产率、技术进步和效率改善,对中国低碳全要素生产率的总体发展、区域差异进行实证分析。然后,利用核密度估计,对累积相对低碳全要素生产率增长、累积相对技术进步和累积相对效率改善做分布动态演进分析。结果表明:考察期内中国整体的低碳全要素生产率趋于上升,但上升幅度逐渐减小;东、中、西三大区域的低碳全要素生产率存在显著差异,呈东高西低的增长格局;东、中部地区的低碳全要素生产率提升是技术进步和效率改善共同推进的结果;西部地区的低碳全要素生产率提升仅靠技术进步驱动,效率改善存在退步迹象;省际间的低碳全要素生产率呈一定程度的"俱乐部收敛"特征,技术进步有明显的"追赶效应"。     

Sources of energy productivity growth and its distribution dynamics in China

The purposes of this paper are to determine the sources of energy productivity growth at the provincial level in China and to examine the relative contributions of the sources and their impacts on regional inequality. Energy productivity change is first decomposed into five components attributable to changes in capital–energy ratio, labor–energy ratio, output structure, and technical efficiency change and technological change. Then a nonparametric analysis is implemented to statistically test the relative contributions of the components and their roles in the distribution dynamics of energy productivity. It is found that (1) changes in capital–energy ratio, output structure, and technological change contribute to energy productivity growth in China, (2) increase in capital–energy ratio caused by capital accumulation is the primary driving force for energy productivity growth, and (3) capital accumulation contributes to energy productivity convergence between Chinese provinces over the time period of 1990–2005.     

Productivity and technical change: the case of Taiwan

This paper analyses productivity growth in 16 of Taiwan's manufacturing industries during the period 1978–1992. The non-parametric Data Envelopment Analysis approach is used to compute Malmquist productivity indexes. These are decomposed into efficiency change and technical change. The latter is further decomposed into an output bias, an input bias and a magnitude component. In addition, the direction of input bias is identified. Empirical results indicate that the sector's TFP increased at a rate of 2.89% per annum, which could be ascribed to a technical progress (2.56%) and an efficiency improvement (0.33%).     

Biased Technical Change and the Malmquist Productivity Index

The Malmquist productivity index has many attractive features. One is that it can be epxressed as the product of a technical efficiency change index and a technical change index. In this paper we express the technical change index as the product of a magnitude index and a bias index. We then express the bias index as the product of an output bias index and an input bias index, and we state conditions under which each bias index makes no contribution to productivity change.     

Using Malmquist index to select the strategic partners in vertical integration: the case of Taiwan LED supply chain

In recent years, green technology efficiency has been one of the most interesting issues when referring to energy saving. The light-emitting diode (LED) is one of the competitive industries on green technology in Taiwan. The objective of this article is to select the vertical strategic partners of the 22 LED companies through investigating performance of integration. The Malmquist productivity index (MPI) is used to evaluate the average efficiency change from 2011 to 2015. The empirical results show that the productivity change was influenced by both catch-up effects and frontier effects. For upstream companies, the MPI of Tekcore is superior to others because it maintained technical efficiency and technological change. For downstream companies, most of them are performed well in technical efficiency than technological change. This article helps LED manufacturers select the appropriate strategic partners to achieve competitive advantage.     

我国高等教育生产率增长、技术进步与效率变化

本文运用Malmquist指数对2003—2008年我国31个省、市、自治区高等教育的生产率变化情况进行分析,然后将其分解为技术进步与效率变化分析生产率变化的动力来源以及各地区的差异,并进一步对高等教育规模扩张与技术进步之间的关系进行研究。研究结果表明:我国高等教育生产率指数显示波动性上升趋势,且主要动力来源于技术进步;高等教育生产率的增长呈现出较大的地区差异性;高等教育的规模扩张与技术进步之间存在显著的负相关关系,当前的技术水平显然不能满足高校的需求。最后针对高等教育生产率变动的特征对高等教育的未来发展提出几点政策建议。     

Productivity measurement in Swedish departments of gynecology and obstetrics

The rapid growth of public spending and the need to assess its impact on the welfare system has made the studies of productivity in the public sector an important subject. This paper is concerned with the specification and estimation of total factor productivity growth using the primal panel data approach. The total factor productivity growth is decomposed into technical change and scale components. Several competing models are used to explore whether there are any similarities in the estimates of total factor productivity growth and technical change among these models. The models are estimated using different estimation methods. Some of the models, although assuming a Cobb–Douglas technology, exhibit firm-specific technical change. These models are used to measure productivity growth in departments of gynecology and obstetrics in Sweden. Empirical results show evidence of large and negative rate of productivity growth. In comparison among different specifications proposed, the level and the time pattern of productivity measures vary substantially across models and estimation methods.     

Efficiency in the factoring industry

The efficiency and productivity in the Italian factoring industry between 1993 and 1997 is investigated using DEA. The factoring industry is an important part of many financial systems and it has established itself as a major source of finance and credit management for a growing number of companies. However, as far as the authors are aware no studies have applied frontier methodologies to examine the efficiency and productivity of this industry. This paper focuses on the Italian market, the second largest in the world after the UK. The results suggest that there are substantial cost savings to be had in the Italian factoring industry: the mean cost inefficiency in the Italian factoring industry over the period 1993–1997 ranged between 14% and 22%. These inefficiencies are mainly generated by allocative rather than technical inefficiencies. Scale and technical inefficiencies seem to be similar in magnitude and the supposed importance of the latter typically found in the banking efficiency literature, are not observed in Italian factoring. Firm size does not appear to be related to technical, allocative and economic efficiency and the hypothesis that ownership structure influences factoring firm efficiency could not be rejected. In order to analyse efficiency change over time the Malmquist index is used. Total factor productivity was decomposed into technical change and efficiency change and the latter was further divided into pure efficiency and scale efficiency change. Productivity changes were slight over the period 1993–1996, while a substantial increase in productivity occurred between 1996 and 1997: the latter appears to be the result of a large improvement in the technology and a positive scale efficiency change, however, this was slowed down by a negative pure efficiency change.     

The Malmquist Productivity Index and Plant Capacity Utilization

A new decomposition of the Malmquist productivity index is proposed to account for changes in plant capacity utilization. Using a primal, non-parametric specification of technology, the Malmquist index is decomposed into technical efficiency change, variations in plant capacity utilization and frontier shifts. It provides an alternative to the available methods of incorporating capacity utilization changes into measures of productivity change. Such measures are based on parametric (and, in many cases, dual) technology specifications; moreover, they typically do not allow for technical inefficiency.
JEL Classification C 61; D 24