节能减排约束下中国制造业行业的效率和生产率的研究

本文运用SBM方向性距离函数和卢恩伯格生产率指标,对在资源和环境约束下我国26个制造业行业1999～2008年的效率和生产率及其构成进行了实证研究.结果表明:能源的过多使用以及SO2和COD的过度排放是环境无效率的主要来源;环境无效率水平最高的是原材料工业,环境效率水平最高的是机械设备制造业;环境全要素生产率的平均增长率低于市场全要素生产率的平均增长率,说明了环境管理的无效率;纯技术进步是中国制造业行业环境全要素生产率增长的主要推动力.     

Agglomeration and social return to R&D: Evidence from French plant productivity changes

This paper investigates the effect of inter-firm and intra-firm spillovers on the productivity of firms, using French data. The Luenberger Productivity Indicator (LPI) is used to estimate the productivity and to break it down into several components (e.g. efficiency, biased technical progress, scales effects, etc.). Using this approach, negative productivity changes are found due to the unfavourable economic situation over 2000-2002. Diverse forms of intra- and inter-firm externalities are then investigated through a Maximum Likelihood Random Effect (MLRE) model. Spillover effects due to spatial agglomeration - influencing Total Factor Productivity (TFP) and its correspondent components, technological and efficiency changes, are found.     

Too small to be beautiful? The farm size and productivity relationship in Bangladesh

This paper examines the agricultural productivity-farm size relationship in the context of Bangladesh. Features of Bangladesh’s agriculture help overcome several limitations in testing the inverse farm-size productivity relationship in other developing country settings. A Stochastic Production Frontier (SPF) model is applied using data from three rounds of a household panel survey to simultaneously estimate the production frontier and the technical inefficiency functions. The ‘correlated random effects’ approach is used to control for unobserved heterogeneous household effects. Methodologically, the results suggest that SPF models that ignore the inefficiency function are likely mis-specified, and may result in misleading conclusions on the farm size-productivity relationship. Empirically, the findings confirm that the farm size and productivity relationship is negative, but with the inverse relationship diminishing over time. Total factor productivity growth, driven by technical change, is found to have been robust across the sample. Across farm size groups, the relatively larger farmers experienced faster technical change, which helped them to catch up and narrow the productivity gap with the smaller farmers.     

我国工业污染治理动态效率研究

全要素生产率是动态效率的一种度量。以我国30个省市的工业污染治理投入产出的统计数据为实例,运用基于DEA模型的Malmquist指数方法,测算了2000～2009年中国省际的工业污染治理全要素生产率的变化。结果显示:2000～2009年期间我国工业污染治理全要素生产率增加7.1%,主要来源于技术进步的贡献;省际间的全要素生产率的变动存在较大区域差异,河北省工业污染治理全要素生产率改善最多,而青海省下降最多;工业污染治理全要素生产率的变化和技术变化随时间都呈现U型曲线规律。最后基于实证分析的结果,给出了提升我国工业污染治理效率的政策建议。     

Productivity and efficiency with discrete variables and quadratic cost function

We propose an index of productivity based on a quadratic cost function and developed for discrete data including technical and allocative inefficiency, jointly with technical change and returns to scale, as determinants of Total Factor Productivity. This new index is applied to Spanish stevedoring industry so as to identify the sources of change in the productivity of a multiproductive activity, where some companies do not produce some of the outputs. In this context, the functional quadratic form and the productivity index proposed prove particularly useful.     

Production Theory: Accounting for Firm Heterogeneity and Technical Change

The paper presents a new framework to assess firm level heterogeneity and to study the rate and direction of technical change. Building on the analysis of revealed short‐run production functions by Hildenbrand ( 1981 ), we propose the (normalized) volume of the zonotope composed by vectors‐firms as indicator of inter‐firm heterogeneity. Moreover, the angles that the zonotope's main diagonal form with the axes provide a measure of the rates and directions of productivity change. The proposed framework also accounts for n‐inputs and m‐outputs and, crucially, the measures of heterogeneity and technical change do not require many of the standard assumptions from production theory.     

A DEA estimation of a lower bound for firms’ allocative efficiency without information on price data

In this paper, we estimate a lower bound for the sum of firms’ allocative efficiencies in the absence of information on prices. For this purpose, we only estimate technical efficiency at both the firm and the industry level using a directional distance function and choosing a relevant direction. Our result relies on the decomposition of overall inefficiency into technical and allocative inefficiency at both the firm and the industry level. The convexity of a technology induces a transfer from both total technical inefficiency and part of allocative inefficiency at the firm level to technical inefficiency solely at the industry level. The remaining firms’ allocative inefficiency could be counted at the industry level. Hence, the difference between technical inefficiencies at both levels can be interpreted as a lower bound for the sum of allocative inefficiency in the industry. We show how to implement this bound in a DEA framework.     

Total factor productivity growth in Uganda’s telecommunications industry

The telecommunication sector is usually thought to be characterized by high productivity growth rates arising from increasing returns to scale. The actual productivity patterns in the sector, however, need to be empirically determined. A panel data set was assembled and a common set of input and output indicators was constructed to support the estimation of the Malmquist Total Factor Productivity index via input-oriented Data Envelopment Analysis. A general specification encompassing all available input and output data was employed to obtain the average total factor productivity changes for the sector. Over the study period, there was total factor productivity growth in Uganda’s telecommunications industry, which was mainly due to technical or technological progress as opposed to technical efficiency. These results indicate the existence of a potential for tariff reduction via the X-factor in the price cap formula.     

Profit efficiency among Bangladeshi rice farmers

Production inefficiency is usually analyzed by its three components—technical, allocative, and scale efficiency. In this study, we provide a direct measure of production efficiency of the Bangladeshi rice farmers using a stochastic profit frontier and inefficiency effects model. The data, which are for 1996, include seven conventional inputs and several other background factors affecting production of modern or high yielding varieties (HYVs) of rice spread across 21 villages in three agro-ecological regions of Bangladesh. The results show that there are high levels of inefficiency in modern rice cultivation. The mean level of profit efficiency is 77% suggesting that an estimated 23% of the profit is lost due to a combination of technical, allocative and scale inefficiency in modern rice production. The efficiency differences are explained largely by infrastructure, soil fertility, experience, extension services, tenancy and share of non-agricultural income.     

Technology Innovation Indicators

Abstract
A survey of the US patent database has yielded indicators to trends in technology innovations. Three types of indicator were developed, namely technology maturity, growth potential and product vs process innovations. The patent data show how innovations in one technology area are linked to other technologies and a measure of these links was incorporated into the above trend indicators. Results have a wide range of applications, including assessment of technological opportunities and helping a company in the analysis of strategic alternatives.     

Small-scale food industries : Improving performance in developing countries

This article reviews the role of small-scale food processing industries in the socioeconomic growth of developing countries, with particular reference to sub-Saharan Africa. It examines the productivity of a model enterprise and identifies inadequate planning and availability of raw materials as major causes of low levels of performance. The contributions which university-related small-scale industrial facilities such as the model could make towards improving operations of the sector are discussed.     

Promoting smart cities in developing countries: Policy insights from Vietnam

Smart city initiatives have been researched primarily in the developed country context. In developing countries, however, emerging technologies are enabling progress on urban functionality, productivity, and livability. A deeper understanding of facilitative policy conditions unique to developing countries would be useful to both theory and practice. This study presents empirically grounded insights about the policy implications of smart city development in developing countries, based on surveys of experts from the public and private sectors in 10 Vietnam cities. The study makes three contributions. First, it provides new evidence that pursuing smart city development (SCD) is not a mere alternative but a crucial strategic imperative. While facing persistent problems, Vietnam's cities exhibit significant and rapidly improving readiness for SCD. Second, the study provides new insights into related policy issues and challenges, including the positive link between e-government development and control of corruption, the risk of bias toward operational management over institutional reform, and the lack of a clear development strategy. Finally, the study proposes a model for guiding smart city initiatives in developing countries.     

Agricultural productivity growth in Brazil: Large and small farms excel

The long-standing debate on the relationship between farm size and productivity has been generally limited by the range of farm sizes evaluated and the definition of productivity. In this paper we use data from three Brazilian agricultural censuses to address these issues. In particular, we introduce a wider distribution of farm sizes than presently available from the literature and we employ total factor productivity (TFP) as our performance measure. In doing so, we test which farm size class had the highest TFP levels in 1985 and 2006, how factor productivity growth varied within and across farm size classes between those years, and which policy or factor had the greatest productivity enhancing effect. When examining TFP growth, we move beyond the common decomposition into technical and efficiency changes by identifying the complete distribution of farm productivity performances. We find that by 2006 a U-shaped distribution of productivity over farm sizes had emerged. Considerable 1985–2006 TFP growth differences are prevalent; positive rates for the majority accompany stagnant or negative rates for some. Public education investments were associated with faster productivity growth regardless of farm size, while technical assistance’s positive effect and credit’s negative effect were associated with larger farm sizes. The role of specialization varied by size.     

Telecommunications productivity,catch-up and innovation

This study examines telecommunications productivity, technological catch-up and innovation in 74 countries for the period 1991–1995. A summary of partial productivity indicators is presented, and total factor productivity (TFP) growth is calculated using the Malmquist productivity change index. Decomposition of the Malmquist index provides preliminary evidence that developing countries can enhance productivity through catch-up. An econometric model is estimated that relates innovation to market size and two measures of market structure, viz., market concentration and private ownership. Model estimates support the Schumpeterian hypothesis that market size is conducive to innovation. However, the hypothesis that concentration (the dominant carrier’s share of international message telephone service (IMTS) traffic) is positively related to innovation is rejected. Finally, the model suggests that increased private ownership of the dominant local-exchange carrier can enhance innovation.     

Agricultural labour productivity,food prices and sustainable development impacts and indicators

In the last few years high and unstable food and agricultural commodity prices and concerns about population growth, increasing per capita food demands and environmental constraints have pushed agriculture and food production up national and international political, policy and research agendas. Drawing on both theory and empirical evidence, this paper argues that fundamental impacts of links between agricultural productivity sustainability and real food price changes are often overlooked in current policy analysis. This is exacerbated by a lack of relevant and accessible indicators for monitoring agricultural productivity sustainability and real food prices. Two relatively simple and widely applicable sets of indicators are proposed for use in policy development and monitoring. Historical series of these indices are estimated for selected countries, regions and the world. Their strengths, weaknesses and potential value are then discussed in the context of the need for better sustainable agricultural development and food security indicators in any post 2015 successors to the current MDGs.     

The averch and Johnson analysis of public utility regulation twenty years later

The Averch and Johnson model of a rate-of-return regulated firm seems to have captivated economists and focused their attention on modest technical inefficiency. Pricing distortions, which were revealed by Welliscz, and the incentive for more extreme technical distortions, which was described by Westfield, are not as widely considered or even understood twenty years after the articles appeared. Analysis using uncertainty and dynamic methods has also failed to treat the full range of rate-of-return implications. To do justice to these original contributions more effort is called for in designing new institutions of public utility regulation.     

我国制造业上市公司技术效率与技术进步实证研究

本文运用非参数的Malmqusit生产率指数法研究了2001—2005年期间中国制造业上市公司全要素生产率的水平及其变迁情况,并对其子行业和地区分布特征进行了探讨。同时对那些影响制造业上市公司生产率的主要因素进行了剖析。实证研究表明,中国制造业上市公司全要素生产率年平均增长1．9％,相对比较低,呈现出波动性特征。制造业上市公司全要素生产率的增长主要是由技术进步和效率改善共同引致的;开放程度比较高的行业,生产率也比较高,而高度垄断以及开放度低的行业如石油加工及炼焦业的生产率就比较低。东、中、西部地区制造业上市公司全要素生产率存在差异,东部最高,中部和西部次之,年均增长率分别为2．7％、1．7％、0．4％。股权集中度、企业盈利能力和企业年龄与制造业上市公司技术效率以及生产率的提升显著正相关,而股权制衡度、控股股东的性质与制造业上市佘司技术效率以及生产率的提升并不显著;企业年龄与上市公司技术进步没有必然的关系,而企业规模对对制造业上市公司技术进步有显著影响。     

ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries

This paper uses a new set of country data for 14 countries, members of the OECD, and a non-parametric approach to provide new evidence on the impact of Information and Communication Technology (ICT) on labour productivity growth between 1995 and 2005. For the first time, in the present paper a bootstrap approach for the decomposition of labour productivity change, proposed by Kumar and Russell (2002), is employed. This approach permits to conduct statistical inference on the parameters of interest, and to analyse the effects of ICT technologies on capital accumulation. The results confirm the role of ICT as a general purpose technology that needs organisational and business process changes to fully exploit its growth opportunities. The paper also finds out, by applying a non-parametric test, that ICT technologies positively contribute to the generation of convergence clubs in the evolution of labour productivity. Finally, the empirical evidence offers some basic guidance for future policy intervention in supporting ICT capital investments.     

External knowledge search,innovative performance and productivity in the Korean ICT sector

In recent years, Korea’s Information and Communication Technology (ICT) industry has grown rapidly. The prosperity of the ICT industry has brought growing recognition that rising productivity and innovative performance have made major contributions to ensuring competitive advantage in international markets. In this context, recent studies stress the importance of external knowledge for improving both innovative performance and productivity. This paper empirically investigates the effects of firms’ external knowledge search behavior on their productivity as well as their innovative performance in the Korean ICT manufacturing sector. Based on firm-level data from the Science and Technology Policy Institute (STEPI), this study indicates that incremental innovation and productivity are both related to external knowledge search.     

Productivity,scale economies and technical progress in the Canadian life insurance industry

The purpose of this paper is to examine the productivity performance of the Canadian life insurance industry. We construct a measure of total factor productivity for life insurance companies and then attempt to determine the main sources of improved productivity during the period 1961–1977 by pooling time-series and cross-section data from 31 firms. We conclude that for the industry as a whole technical progress was by far the most important source of productivity growth, while scale economies, on balance, had a marginally negative impact.