Research and development and labour productivity: do high-tech firms exhibit labour- or capital-saving technical change?

Employment and output in the advanced technology sectors have generally exhibited above-average growth for more than two decades. While this industry accounts for a relatively small share of total employment, the majority of private sector research and development (R&D) expenditures in the US is concentrated within seven sub-sectors. However, little attention has been paid as to whether high-tech productivity exhibits Hicksian capital or labour ‘savings’ bias or tendency to displace either factor input over time. Biased technical change can occur as economies transition between growth regimes. An augmented production function is employed to analyse the additional impact of R&D activity on firm-level labour productivity. A panel data set comprised of high-tech firms located across the advanced economies, China and India from 1990 to 2013 is used in the analysis. Labour-saving technical change was present across the advanced technology sectors and most countries. The expanded models of labour productivity that used fixed effects with lagged regressors confirmed the prior results as well as finding that R&D per employee, relative R&D intensity and firm market share contribute to firm-level labour productivity growth across countries and sectors. Additional support was found for diminishing returns to scale but not for R&D spillover effects.     

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.     

Productivity growth and catching up: a technology gap explanation

This paper seeks to explain why some countries have managed to catch up in terms of labor productivity over the period 1993–2007 in 76 countries. By integrating the technology gap research within the standard growth-accounting approach, we introduce a methodology which allows us to split total factor productivity (TFP) change into two components: conditional technical inefficiency and the magnitude of the technology gap. We find that labor productivity growth depends both on investment in fixed capital and TFP. Fast emerging economies exhibit patterns of growth based in particular on the reduction of the technology gap, confirming the role of investment in technological capabilities to spur productivity catch-up. Looking at change in the distribution of labor productivity, emerging countries managed to shift from low productivity toward a medium level of productivity thanks to technology accumulation. Less advanced countries cannot rely only on technology diffusion and learning by doing, policies for technological capabilities accumulation are necessary.     

AN ATTEMPT TO EXPLAIN DIFFERENCES IN ECONOMIC GROWTH: A STOCHASTIC FRONTIER APPROACH

Total factor productivity (TFP), factor accumulation, and growth are analysed for a panel of 40 countries in 2001–11. TFP growth and technical inefficiency are estimated using a stochastic frontier model. Environmental variables are found to have an important role in explaining differences in inefficiency across countries. Over 2001–11, the general improvement in technical efficiency of countries is almost outweighed by technological regress. Results indicate that differences in factor accumulation between OECD and emerging economies are more important than differences in TFP change to explain differences in economic growth. Results also indicate negative and significant random shocks for the OECD countries.     

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。     

Why is TFP growth sectorally concentrated?

Research shows that total factor productivity (TFP) growth is weak in European countries. This is inter alia attributed to the fact that substantial TFP growth is limited to a few industries. Because TFP growth is typically understood as technological progress, it is concluded that technology diffusion between sectors in Europe is hampered. We use EU KLEMS data sets to decompose sectoral TFP for nine European countries by means of a Malmquist approach in order to identify potential sources besides technical progress. Applying Harberger diagrams, we describe the sectoral distribution of TFP growth, efficiency gains and losses, economies of scale and technological progress. The analysis reveals that technological progress is quite evenly distributed across sectors in most European countries. The wide scattering of TFP growth is explained by deviating efficiency developments and the unused economies of scale. We conclude that the technology transfer between sectors in most European countries seems to work. Therefore, Europe in general does not need a new technology policy, but a further integration of the markets and a reduction of national market entry barriers. This requires further unification of pan-European standards in fields like trade and crafts codes or consumer protection policies.     

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.     

The impact of military technology transfer on economic growth: international evidence

The purpose of this article is to measure the impact of military technology transfer on economic growth for 67 selected countries during the period 2000 to 2005 through the application of the Malmquist productivity index, which is broken down into efficiency change and technical change. Our main findings are as follows. First, technology diffusion is all-pervading in half of the sampled countries due to pure efficiency and scale efficiency changes. Second, a higher-income level and an excess of arms imports lead to innovative activities. Third, middle-income countries have higher efficiency and pure efficiency changes; these contribute to higher total productivity change. Finally, after separating the impact of capital investment from that of arms imports, the diffusion of military technology has a more positive and substantial impact on economic growth, thereby revealing the presence of externalities between countries.     

Total‐Factor Energy and Emission Efficiencies of ASEAN and Other Asian Economies

This research uses the slack‐based measure data envelopment analysis to compute the energy and emission efficiencies of Association of Southeast Asian Nations (ASEAN) and other Asian economies during the 2001–2017 period, employs the Malmquist productivity index to check for the main source of efficiency score changes due to technical changes, and then applies panel Tobit regressions to determine the factors explaining the efficiencies. Our empirical results show that the energy efficiency scores of ASEAN economies had been catching up to other Asian economies after the Global Financial Crisis, whereas the emission efficiency scores of various ASEAN economies had been falling behind other Asian economies over the same period. The main source of efficiency score changes over time is efficiency changes and not technical changes. Decreases in the fossil fuel ratio of net electricity generation and the secondary industry ratio within total industry improve both lead to improvements in energy and emission efficiencies.     

Openness, Productivity and Growth: What Do We Really Know?

Comparative data for 93 countries are used to analyse the robustness of the relationship between openness and total factor productivity growth. Nine indexes of trade policy are used to investigate whether the evidence supports the view that total factor productivity growth is faster in more open economies. The results are robust to the use of openness indicator, estimation technique, time period and functional form, and suggest that more open countries experienced faster productivity growth. Although the use of instrumental variables help dealing with endogeneity, issues related to causality remain somewhat open, and require time series analyses to be adequately addressed     

INTERNATIONAL STUDIES OF FACTOR INPUTS AND TOTAL FACTOR PRODUCTIVITY: A BRIEF SURVEY

This paper summarizes the results of several studies on total factor productivity of twenty-five countries over the period 1950–1965. Some methodological issues which underlie the derivation and calculation of the familiar partial and total factor productivity indices are discussed. Though evidence on labor productivity for a large number of countries is presented and discussed, the main thrust of the discussion is in terms of the determinants of total factor productivity. The quantitative and qualitative contributions of labor and capital to growth of income are assessed with special attention to the contrasting patterns of these contributions among developed and developing economies. The problems of acceleration and retardation of the growth rate of some economies are considered and possible explanations are offered. Variations in the magnitude and sectoral distribution of the growth rates in several countries over this period are examined. Finally, areas for further research in comparative economic growth are suggested.     

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.     

NOTE ON THE PRODUCTIVITY CONVERGENCE OF AIRPORTS IN CHINA

The present paper uses a Malmquist index measure of productivity growth to study the productivity convergence of 25 airports in China during the period 1995–2004. By decomposing the Malmquist index, we find evidence for the convergence of the efficiency level of airports, but not the productivity and technology levels. These results imply that the more productive airports are pushing the frontiers of technology faster by adopting new technology, and that the relative efficiency level of the laggards increases quickly and catches up with the efficiency level of the leaders over time.     

Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era

What drives the productivity dynamics of infrastructure companies? Using a panel of firms in 14 countries, we study total factor productivity (TFP) enhancers of utility and network services companies. We find that moving TFP closer to the technological frontier drives productivity growth at higher speeds in Asian countries than in European countries. We also find that financial leverage exerts a positive effect on TFP growth for larger infrastructure firms and that more financially developed countries utilize economies of scale through better use of financial resources. Large utility and transportation companies display a higher rate of TFP growth, indicating that a competition policy to encourage M&As would be prudent for the utility/transportation sectors to maximize economies of scale. In contrast, we find diseconomies of scale for energy companies in some countries. Moreover, young network firms improve TFP growth faster than their peers in countries with fewer product market regulations. Therefore, policies should remove entry barriers while facilitating the departure of old and low-productivity firms from network markets. Finally, policymakers should offer well-targeted fiscal incentives for intangible investments to boost TFP because the accumulation of intangible assets such as digital technology promotes more scale economies through network effects.     

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.     

Convergence in OECD countries: technical change,efficiency and productivity

The aim of this study is to analyse labour productivity convergence in the OECD countries over the period 1975-90. A nonparametric frontier approach is used to calculate the Malmquist productivity index. By breaking it down, the contribution in the growth of labour productivity of technical progress, of changes in efficiency, and of the accumulation of inputs per worker are quantified. Unlike other studies, the results obtained show that technical change has worked against labour productivity convergence, since it has always been greater in the countries with higher labour productivity.     

Long-run technical change and multifactor productivity growth in US manufacturing

This study utilizes a translog cost function to produce econometric estimates of the separate influences of technical change versus scale efficiency in contributing to multifactor productivity growth within the US manufacturing sector. The analysis generates (two-digit) industry-specific parameters that capture the effects of output versus time-related shifts in the cost function over the 1949–1991 period. Thus initial evidence concerning the relative importance of technical progress (versus ‘scale’) cannot be provided as a source of productivity gains within two-digit industries. The parametric estimates of total factor productivity growth are compared with existing Divisia measures to explore the shortcomings of the growth accounting technique. These long-run patterns hold implications for the productivity convergence hypothesis traced to knowledge spillovers between industries.     

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.     

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。     

Sectoral Energy- and Labour-Productivity Convergence

This paper empirically investigates the development of cross-country differences in energy- and labour productivity. The analysis is performed at a detailed sectoral level for 14 OECD countries, covering the period 1970–1997. A σ-convergence analysis reveals that the development over time of the cross-country variation in productivity performance differs across sectors as well as across different levels of aggregation. Both patterns of convergence as well as divergence are found. Cross-country variation of productivity levels is typically larger for energy than for labour. A β-convergence analysis provides support for the hypothesis that in most sectors lagging countries tend to catch up with technological leaders, in particular in terms of energy productivity. Moreover, the results show that convergence is conditional, meaning that productivity levels converge to country-specific steady states. Energy prices and wages are shown to positively affect energy- and labour-productivity growth, respectively. We also find evidence for the importance of economies of scale, whereas the investment share, openness and specialization play only a modest role in explaining cross-country variation in energy- and labour-productivity growth.