ICTs and time-span in technical efficiency gains. A stochastic frontier approach over a panel of Italian manufacturing firms

In this paper, in contrast to much of the existing literature dealing with the impact of information and communication technologies (ICTs) on labour productivity, we assess the relationship between ICT investments and technical efficiency (TE) using a stochastic frontier approach. We utilize a large panel dataset of Italian manufacturing firms over the period 1995–2006 and confirm the findings of the previous work on ICT and productivity. In addition, we test to what extent ICT investments influence the gap between firms and the production frontier; that is, how adoption of ICT influences the narrowing of the said gap. We also test the duration of the effects of adopting ICT on technical efficiency. Finally, our results indicate that ICT returns on TE are influenced by certain firm characteristics, most of which idiosyncratic, such as management practices, labour organization, research and development.     

Sources of output growth in Singapore's services sector

As services are an important engine of growth for Singapore, this paper attempts to empirically investigate the sources of output growth in this sector to shed light on the debate sparked off by Krugman (1994) on the miraculous or mythical growth of Singapore and the other newly industralizing Southeast Asian economies. This is done by using the stochastic production frontier model with panel data. Unlike existing studies which used the conventional growth accounting approach to decompose output growth into just input growth and total factor productivity (TFP) growth, this approach further decomposes TFP growth into technological progress and changes in technical efficiency.     

The productivity debate of East Asia revisited: a stochastic frontier approach

This paper applies a stochastic frontier production model to the data from Penn World Table's 49 countries over the period 1965 to 1990, to decompose total factor productivity growth into technical change and technical efficiency change. Empirical results show East Asian countries led the world in productivity growth, mainly because their technical efficiency gain was so much faster than that of other countries. East Asian countries also registered rapid technical change, which was comparable to that of the G6 countries after the late 1980s. The results provide evidence that negate the hypothesis that East Asian growth was mostly input-driven and unsustainable.     

Public and private inputs in aggregate production and growth: a cross-country efficiency approach

In a cross section of OECD countries, we replace the macroeconomic production function by a production possibility frontier, total factor productivity being the composite effect of efficiency scores and possibility frontier changes. We consider, for the periods 1970, 1980, 1990 and 2000 one output – GDP per worker – and three inputs – human capital, public physical capital per worker and private physical capital per worker. We use a semi-parametric analysis, computing Malmquist productivity indexes, and we also resort to stochastic frontier analysis. Results show that private capital is important for growth, although public and human capital also contribute positively. A governance indicator, a nondiscretionary input, explains inefficiency. Better governance helps countries to achieve a better performance. Nonparametric and parametric results coincide rather closely on the movements of the countries vis-à-vis the possibility frontier and on their relative distances to the frontier.     

Measuring technical efficiency and productivity growth: a comparison of SFA and DEA on Norwegian grain production data

This article compares data envelopment analysis and stochastic frontier analysis to assess efficiency and productivity growth of Norwegian grain producers. Previous studies have dealt with either one of them and less of both. For the assessment of productivity growth or regress, Malmquist productivity indices are derived from both approaches. The data cover a 10-year period. We find consistency between the approaches to the extent that: (1) there are potentials for efficiency improvements, but the magnitudes depends on the model applied and by segmentation of the data set, (2) there has been a productivity improvement in the sector, on average in the interval 30–38% in the period studied and (3) technical change has had the greatest impact on productivity, indicating that producers have a tendency to catch-up with the front runners. In general, policy-makers are warned not to be indifferent with respect to the approach used for efficiency and productivity measurement as these may give different results.     

Economic Reform and Total Factor Productivity Growth in Indian Manufacturing Industries

A stochastic frontier production function model is applied to Indian manufacturing industries, to decompose the sources of total factor productivity growth into technical progress, technical efficiency, scale efficiency, and allocative efficiency. Empirical results based on data from 2000 to 2006 suggest that increased investment needs time to deliver increased productivity and efficiency, because new technology combined with fresh investment requires higher numbers of skilled workers, better managerial practices and an advanced input mix, all of which generally take time to develop. Thus, the Indian economy must boost technical efficiency by providing skilled workers and high quality managers to further economic reform.     

The Potential Benefits of Hilmer and Related Reforms: Electricity Supply

This article examines the impact of the elimination of x-inefficiency in the Australian electricity supply industry using a computable general equilibrium (CGE) model of the Australian economy. Data envelopment analysis and a stochastic production frontier model are applied to measure x-inefficiency in the electricity industry. The potential increase in total factor productivity resulting from microeconomic reform is introduced into the CGE model as a factor-augmenting technological change. The model is used to measure the macroeconomic effects of microeconomic reform of the electricity industry. The Monash model is also used to replicate the results of earlier studies by the Industry Commission (1995) and Quiggin (1997) and thereby to provide a basis for comparing the three sets of results. The results of the current study imply that the impact of microeconomic reform on economic growth could well be significant if only a small proportion of the benefits were to be reflected in terms of an increase in aggregate employment.     

Size and Foreign Ownership Effects on Productivity and Efficiency: An Analysis of Turkish Motor Vehicle and Parts Plants

The levels and interactions of foreign connections and size may be important determinants of plant productivity and efficiency, particularly in a developing country such as Turkey. We explore the productive contributions of foreign ownership (FDI), emphasizing its linkages with plant size and input composition, for plants in the Turkish motor vehicle and parts industry. We evaluate the implications of FDI for overall productivity, input-specific contributions, and returns to scale, using OLS, stochastic production frontier, and quantile (size-specific) regression estimates of a translog production function model. We find significantly higher productivity of plants with foreign ownership, driven by a higher marginal product of labor, particularly for smaller plants. This effect augments the productive contributions of technical progress, capital intensity, and increasing returns to scale. FDI is also associated with a greater productive contribution of imported capital investment.     

Public external debt,informality and production efficiency in developing countries

This paper proposes an alternative approach to investigate the non-linear effect of external debt on growth. In the theoretical part, we develop an endogenous growth model with formal and informal sectors to analyse the effect of the public external debt on the production efficiency. We show that an increase of the public external debt share increases the production efficiency through a positive externality effect. However, it generates an opposite effect via the reduction of the formal sector’s size in favour of a less efficient informal sector. The resultant effect becomes negative beyond an optimal level. Besides, we show that a large stock of public external debt reduces the production efficiency when it leads to a tight fiscal policy which reduces the formal sector size. Empirically, using a stochastic frontier technique with unobserved heterogeneity, for a panel of 27 developing countries for the period of 1970–2005, we confirm that the turning point associated to the effect of the share external public debt is apparent at 84%.     

Technical Efficiency in Australian Textile and Clothing Firms: Evidence From the Business Longitudinal Survey

This paper estimates technical efficiency of Australian textile and clothing firms based on the data obtained from the Business Longitudinal Survey (BLS) conducted by the Australian Bureau of Statistics (ABS). Using a Cobb Douglas stochastic production frontier the paper examines firm level technical efficiency in the time varying inefficiency effect model with technical inefficiency effects assumed as an independently distributed truncated normal variable. Estimates of the production frontier revealed significant but small elasticities of labour and capital for textile and clothing firms, respectively, and a negative (but insignificant) Hicks neutral technical change for both. Estimated coefficients of the explanatory variables for inefficiency effects indicated that technical efficiency varied significantly according to firms' age, size, capital intensity, proportion of non-production to total workers and type of legal status. Predicted firm specific efficiency varied from 16 per cent to 95 per cent and mean efficiency ranged between 30 to 70 per cent. In view of these results policies have been suggested to improve technical efficiency of the firms as well as productivity growth of the sub sectors.     

CATCHING‐UP AND TECHNOLOGICAL PROGRESS OF THE ASEAN ECONOMIES

Total factor productivity growth of the five ASEAN founding members is estimated by decomposing total factor productivity growth into technical efficiency and technological progress. By using the stochastic frontier model with individual‐specific temporal pattern of technical efficiency for the period of 1981–2003, the present paper identifies the unique temporal pattern of productivity changes in each country, to analyze the relationship between country characteristics and the inherent efficiency and productivity changes. The empirical results indicate that over the study period, growth in Singapore and Malaysia was largely driven by both technological progress and input accumulation, whereas growth in Thailand was induced by an improvement in technical efficiency and through input accumulation.     

技术效率、全要素增长率与地区间经济增长差异——以内蒙古为例

本文以内蒙古为例,使用随机前沿模型,估算了不同地区的技术效率,并对全要素生产率(TFP)增长率进行分解。研究结果表明:(1)技术效率和TFP与一个地区的经济增长呈正向变动关系。(2)城市化率、第二产业占GDP比重、人力资本水平等提高技术效率,国有工业产值和财政支出占GDP比重降低了技术效率。(3)整体而言,各地区TFP增长主要依靠技术进步,技术效率和规模经济效率都显著不足。     

HUMAN CAPITAL AND CONVERGENCE: A PRODUCTION‐FRONTIER APPROACH*

Using nonparametric, production‐frontier methods, we decompose labor productivity growth into components attributable to technological change (shifts in the world production frontier), technological catch‐up (movements toward or away from the frontier), and physical and human capital accumulation (movements along the frontier). We find that (1) technological change is decidedly nonneutral, (2) productivity growth is driven primarily by physical and human capital accumulation, (3) the increased international dispersion of productivity is explained primarily by physical capital accumulation, and (4) international polarization (the shift from a unimodal to a bimodal distribution) is brought about primarily by efficiency changes (technological catch‐up).     

Sources of efficiency,productivity and output growth in Botswana agriculture

The purpose of this study is to explore reasons for the decline in agricultural performance in Botswana that has occurred during the implementation of a variety of policy measures, as well as the introduction of new technologies, and to identify ways in which it might be reversed. Panel data from six regions in Botswana (period 1979–2012) is analyzed with a stochastic output distance function and inefficiency effects model. We decompose agricultural output growth into; total factor productivity (TFP ) and changes in input use (factors of production). TFP is further decomposed into scale effects, technical efficiency and technological change. The results show that over the study period agricultural output grew at a very low rate of 0.072 percent per year, which is largely due to a growth in factors of production at 0.071 percent per year rather than TFP growth (which declined at 0.003 percent per year). We found that the decline in productivity has been due to technological regress and low growth in technical efficiency and scale efficiency. Policy options aimed at improving agricultural productivity and output growth will require the strengthening of extension services; improving the agronomic and husbandry management skills of farmers through training; and by encouraging farmers to adopt and utilize technologies that have been provided under existing policy programs.     

中国的工业生产力革命--用随机前沿生产模型对中国大中型工业企业全要素生产率增长的分解及分析

本文运用中国大中型工业企业 1 995— 2 0 0 2年期间的年度企业数据 ,系统地研究 3. 7个两位数工业行业的全要素生产率 (TFP)增长趋势 ,并用随机前沿生产模型 ,将生产率增长分解为前沿技术进步 (FTP)、相对前沿技术效率 (TE)的变化、配置效率 (AE)以及规模经济性 (SE)四大因素。主要结论 :(一 )TFP的行业加权年均增长率为 6. 8% ,并呈逐年上升的趋势 ;(二 )前沿技术进步已经成为TFP增长的最重要动力 ,企业因前沿技术进步平均每年提高全要素生产率高达 1 4个百分点 ;(三 )企业相对前沿的技术效率差距拉大 ,已经严重阻碍了TFP增长 ,导致TFP平均每年下降 7个百分点 ,这既是挑战 ,也是反映今后企业通过追赶先进技术提高生产力的潜力。 (四 )企业投入要素的配置效率对TFP增长几乎没有贡献 ,年均贡献仅为 0 . 0 2个百分点 ,而企业的规模经济性对TFP的贡献也仅为负 0 . 3 3个百分点 ,这与前沿技术进步和技术效率变化对TFP的影响相比都微不足道。分析表明 ,前沿技术进步一方面推动着生产力的快速增长 ,另一方面却加剧了企业间的技术效率差距 ,导致更激烈的市场竞争压力。世纪之交的中国最重要的工业企业正经历着一场以前沿技术进步及追赶先进企业为核心的生产力革命。     

Technological change,efficiency gains and capital accumulation in labour productivity growth and convergence: an application to the Spanish regions

The main objective of this article is to analyse labour productivity growth and convergence in the Spanish regions between 1965 and 1995, decomposing total factor productivity gains into technological progress and efficiency change by means of Malmquist productivity indices. On the basis of this decomposition, labour productivity growth is broken down into components attributable to technological change (shifts in the frontier), efficiency gains (movements toward the frontier) and capital accumulation (movements along the frontier). The approach followed in this study is based on work initiated by Färe et al., where a link between the economic growth and convergence literature and the production frontier approach was established. Furthermore, in the spirit of Quah's approach, the evolution of the whole distribution is considered. Thus, the analysis of the dynamics of the entire distribution of labour productivity and the factors behind it – technological progress, efficiency gains and capital accumulation – combine both approaches, yielding new insights into the process of productivity growth and convergence experienced by the Spanish regions over the last 30 years.     

Economic and productivity growth decomposition: An application to post-reform China

This paper examines and applies the theoretical foundation of the decomposition of economic and productivity growth to the thirty provinces in China's post-reform economy. The four attributes of economic growth are input growth, adjusted scale effect, technical progress, and efficiency growth. A stochastic frontier model with a translog production and incorporated with human capital is used to estimate the growth attributes in China. The empirical results show that input growth is the major contributor to economic growth and human capital is inadequate even though it has a positive and significant effect on growth. Technical progress is the main contributor to productivity growth and the scale effect has become important in recent years. The impact of technical inefficiency is statistical insignificant in the sample period. The relevant policy implication for a sustainable post-reform China economy is the need to promote human capital accumulation and improvement in technical efficiency.     

The Efficiency Impact of the Chinese Industrial Reforms in the 1980’s

A stochastic frontier production function is used to estimate the effect of partial and gradual reforms in the 1980’s in each of seven state-owned manufacturing industries. Reform-induced gains in technical efficiency were significant in all sample industries although not always substantial enough to motivate industry-wide productivity growth. The bonus system had speedy and impressive efficiency effects, but there is no consistent evidence on the effectiveness of other reform measures, including greater output autonomy, partial exposure to market influences, and the possibility of dismissals for malfeasance. Equalization of marginal factor returns across firms was observed in some industries, which may be considered as evidence of improved allocative efficiency in response to the reforms.     

Japan's productivity stagnation: Using dynamic Hsieh–Klenow decomposition

This study provides a new perspective on Japan's stagnant aggregate productivity by extending the Hsieh and Klenow (2009) framework to account for productivity growth, entry and exit, and product variety change. We measure the technical efficiency (TE) and allocative efficiency (AE) by the aggregate production possibility frontier and the distance from the frontier, respectively. We apply our approach to establishment- and firm-level data sets from Japan and find that the AE among survivors declined during the banking crisis period, while the TE declined during the global financial crisis period.     

农业劳动生产率增长分布演进的影响因素分析

深入分析农业劳动生产率增长分布演进的影响因素,对于促进农民农业收入的持续增长有着重要意义。本文利用2006-2010年浙江农户微观面板数据,基于随机前沿模型,将农业劳动生产率增长分解为5个因素的变化,采用反事实分析法,比较分析农业劳动生产率虚拟分布与真实分布的差异,进而判断各因素对农业劳动生产率增长分布演进的影响。结果表明：劳均农业物质费用投入和技术效率是农业劳动生产率增长分布位置与形态演进的主要原因,前沿技术则主要影响农业劳动生产率增长分布形态的演进,而劳均土地面积和农业劳动力数量对农业劳动生产率增长分布演进的作用较小。