A novel decomposition of aggregate total factor productivity change

Journal of Productivity Analysis - An industry is an ensemble of individual firms (decision making units) which may or may not interact with each other. Similarly, an economy is an ensemble of...     

Structural breaks, rural transformation and total factor productivity growth in China

This paper carries out an empirical investigation into the contribution of rural transformation, which can produce efficiency gains over and above those associated with technical progress, to total factor productivity in China during the post-reform period 1980–2010. For the first time for China, the roles of rural transformation and technical progress are examined whilst structural breaks are taken into account. We employ Bai and Perron (Econometrica 66:47–68, 1998; J Appl Econom 18:1–22, 2003a; Econom J 6:72–78, 2003b) methods which allow for multiple structural breaks at unknown dates and can be applied for both pure and partial structural changes. We also evaluate the robustness of our results by employing alternative production functions and two capital series. Two structural breaks near the Tiananmen Square incident in 1989 and the implementation of further reforms and opening-up measures in 1995 were identified for both capital series. We found the contribution of rural transformation to total factor productivity to be significant and positive across all regimes. However, its importance to the growth of total factor productivity has been declining over time, while that of technical progress has been increasing.     

Measuring and relating aggregate and subaggregate total factor productivity change without neoclassical assumptions

This article considers the relation between total factor productivity measures for individual production units and those for aggregates such as industries, sectors or economies. This topic has been treated in a number of influential publications, such as Hulten (1978), Gollop (1979) and Jorgenson et al. (1987). What distinguishes this article from other publications in this area is that I deliberately avoid the making of all kinds of (neoclassical) structural and behavioural assumptions, such as the existence of production frontiers with certain properties, or optimizing behaviour of the production units. In addition, I also treat dynamic ensembles of production units, characterized by entry and exit. Thus, a greater level of generality is achieved from which the earlier results follow as special cases.     

Measuring total factor productivity,technical change and the rate of returns to research and development

This paper examines the relationship between research and development expenditures and total factor productivity using establishment level (or micro) data. The confidential data are taken from the U.S. Bureau of the Census Annual Survey of Manufacturers and other Census surveys. Several measures of total factor productivity are considered as are several variables that proxy for technical knowledge. The latter include research and development expenditures by the firm, the accumulated research expenditures of the industry, and new equipment purchases. We find that there is a statistically significant relationship among above measures of technical expertise and a broad measure of total factor productivity.The refereeing process of this paper was handled through N.R. Adam.     

Growth in total factor productivity and links among firms

In this paper we study the relevance of links among firms in explaining the mean and the auto-correlation property of the aggregate total factor productivity rate of growth (Solow residual). Our approach relies on the interaction between idiosyncratic shocks of firms and the network structure of firms. We analytically study this phenomenon using the adjacency matrix of a complete network and we present a simulation with more general random adjacency matrices. We also check empirically, using Italian data, the relationship between the network structure and the Solow residual. In particular, in the empirical part, we find two main results: firstly, the relationship between the Solow residual and the measure of connectivity of firms is positive, in accordance with the analytical results. Secondly, we find that the measure of connectivity is pro-cyclical with the annual growth rate of industrial production.     

State productivity growth in agriculture: catching-up and the business cycle

This paper examines the relation between the business cycle and convergence in levels of agricultural productivity across the 48 contiguous states. First, we find evidence of convergence in total factor productivity levels across the different phases of the business cycle, but the speed of convergence was greater during periods of contraction in economic activity than during periods of expansion. Second, we find that technology embodied in capital was an important source of productivity growth in agriculture. As with the rate of catch-up, the embodiment effect was much stronger during low economic activity phases of the business cycle.     

Market imperfections, trade reform and total factor productivity growth: theory and practices from India

The study investigates how market imperfections distort the impact of trade reform on productivity growth. As the trade expands it influences both product and factor prices and if the distortions arise due to these market imperfections are not eliminated, the usual estimate of total factor productivity growth, using the growth accounting method, would be misleading. Theoretically, it shows that the usual estimate tends to be overestimated in the export competing sector and underestimated in the import competing sector. A modified approach of Olley–Pakes and Levinsohn–Petrin methods involving three-digits industries over the fifteen major Indian states during the period 1998–2005 has been used to deal with the simultaneity issue of factor choice and market distortions for the better estimate. A positive and significant impact of openness on the productivity growth has been observed only when the market imperfections are eliminated. Moreover, the modified productivity growth, after controlling market imperfections, has turned out to be lower than that of the usual estimate in India.     

Directed technological change,skill complementarities and sectoral productivity growth: evidence from industrialized countries during the new economy

Recent growth accounting exercises attribute strong productivity growth to increased investments in information and communication technologies (ICT) over the last decades, but abstain from potential complementarity effects with other inputs. Based on three different sets of industrialized countries, this study shows that sectoral productivity growth originated from ICT-skill complementarities and skill-biased technological change (SBTC) during the New Economy. In particular, Scandinavian goods-producing sectors and Anglo–Saxon market services reveal strong SBTC effects that originated from ICT-skill complementarities, while such effects were totally missing in Continental market services during the same periods. Further drivers of productivity growth were intermediate and non-ICT capital deepening.     

A discussion on the factor of technological change in production function

The purpose of this paper is to discuss the factor of Technological Change (innovation) in terms of CROPPES (Constant Ratio of Pairwise Partial Elasticities of Substitution) Production function, and classical price theory model.

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Riassunto Scopo del presente lavoro è quello di discutere il fattore di innovazione tecnological nell'ambito delle funzioni di produzione del tipo C.R.O.P.P.E.S. e del modello classico della teoria dei prezzi.

     

The effects of external and internal shocks on total factor productivity

This paper examines structural changes that occur in the total factor productivity (TFP) within countries. It is possible that some episodes of high economic growth or economic decline are associated with permanent productivity shocks; therefore, this research has two objectives. The first one is to estimate the structural changes present in TFP for a sample of 77 countries between 1950 (1960) and 2000. The second one is to identify possible explanations for breaks. Two sources were analyzed: (i) episodes in political and economic history; (ii) changes in international trade – a measure of absorption of technology. The results suggest that about one-third of the TFP time-series present at least one structural break. Downwards breaks are more common, indicating that after a break the TFP has much difficulty to recover. When we investigated factors related with structural change, developed countries presented a break near the first oil shock while the developing countries’ breaks are more spread along the decades. Thus, external strikes seem to be more relevant for developed countries. However, for each country and break date, it was possible to find an event close to the break date endogenously detected. Last, the relevance of international trade, measured by trade share percentage of GDP, seems to be limited to explain abrupt changes in TFP.     

Exact decomposition of the Fisher ideal total factor productivity index

Decompositions of total factor productivity (TFP) shed light on the driving factors behind productivity change. We develop the first exact decomposition of the Fisher ideal TFP index which contains no debatable mixed-period components or residuals. We systematically isolate five effects of (1) technical change, (2) technical efficiency, (3) scale efficiency, (4) allocative efficiency, and (5) price effect. The three efficiency components (2–4) represent the efficiency of achieving a given target point. Components (1) and (5) capture the changes of the target point. While the technical change component is well-established, changes in the relative input–output prices can have real effects on the scale and scope of the target. Such changes are captured by the new price effect component (5). The new decomposition is compared with existing decompositions both in theory and by means of an empirical application to a panel data of 459 Finnish farms in years 1992–2000.

我国汽车产业的全要素生产率的估算

文章用永序盘存法估计1991~2013年中国汽车产业的固定资本存量,并结合期间的汽车产业的工作人数和汽车产业全员劳动生产效率,运用横截面软件stata来估计出中国汽车工业在1991~2013年的全要素生产率。并通过计算出的汽车产业的资本存量、劳动投入、全要素生产率,分析出汽车工业产量随时间变化的原因。     

China's total factor productivity estimates by region, investment sources and ownership

This paper constructs China national and provincial physical capital and human capital for the period 1984–2006. The estimation of physical capital is extended to the use of sources of fund and ownership of fund. The growth accounting framework is used to calculate the output, input and total factor productivity growth rates. The relative variance method is used to compare the relative importance to output growth by input growth and productivity growth. The empirical findings show that although output growth in post-reform China has been contributed much by growth in total factor productivity, output volatility has relied more on input growth, and TFP growth has not been supported by complementary changes. There are regional differences when looking at the performance of individual growth rates.     

Modeling technical progress and total factor productivity: A plant level example

Shifts in the production frontier occur because of changes in technology. A model of how a firm learns to use the new technology, or how it adapts from the first production frontier to the second, is suggested. Two different adaptation paths are embodied in a translog cost function and its attendant cost share equations. The paths are the traditional linear time trend and a learning curve. The model is estimated using establishment level data from a non-regulated industry that underwent a technological shift in the time period covered by the data. The learning curve resulted in more plausible estimates of technical progress and total factor productivity growth patterns. A significant finding is that, at the establishment level, all inputs appear to be substitutes.This paper was processed by N.R. Adam.     

U.S. productivity in agriculture and R&D

This paper examines the impact of R&D on multifactor productivity in the U.S. agricultural sector over the 1910–1990 period. We use the Bennet–Bowley indicator to measure agricultural productivity based on a multiple output-multiple input technology. We demonstrate the relationship between the price dependent Bennet–Bowley indicator and the Luenberger productivity indicator which is constructed from directional distance functions without requiring price information. These performance measures are dual to the profit function which arguably makes them especially useful in the agricultural setting. We employ time-series techniques to investigate the effect of R&D on the pattern of productivity growth. We find that we cannot reject the presence of a cointegrating relationship between the two series and that productivity growth in the U.S. agriculture responds positively to R&D expenditure with a lag of between four and ten periods.

Influence of healthy human capital and environmental regulation on green total factor productivity in China

Environment affects the health of residents; to promote high-quality economic development, their combined effect is crucial in measuring green total factor productivity (GTFP). Yet, scholars seldom consider the regulatory effect of the environment, spillover effect of healthy human capital, and synergistic effect between the environment and the health of residents. Using the panel threshold model and spatial Durbin model, along with the measurement of inter-provincial GTFP from 2011 to 2019, we examine the effect of environmental regulation, healthy human capital, and their synergistic effect on the development of the green economy in China. The results reveal that environmental regulation inhibits the improvement of GTFP, whereas healthy human capital and interaction items promote the improvement of GTFP. There exists a threshold effect of environmental regulation on the promoting effect of healthy human capital on the GTFP in China, in general, and inland areas in particular. Moreover, environmental regulation, healthy human capital, and interaction items have significant spatial spillover effects on the GTFP in provinces with similar economic attributes.     

Labour productivity and employment in Australian manufacturing SMEs

This paper examines the relationship between labour productivity and employment in Australian manufacturing small and medium enterprises (SMEs). The results indicate that labour productivity of SMEs varies substantially between industries within the manufacturing sector, but on average labour productivity for manufacturing SMEs increased at a faster rate than that of large manufacturing enterprises across all industries. All manufacturing industries except one recorded employment growth during the period under study. However like labour productivity growth, employment growth also varies across industries within the manufacturing sector. Yet the study could not establish any definite relationship between labour productivity growth and employment. This finding is consistent with some previous studies.     

Environmental regulation,total factor productivity,and enterprise duration: Evidence from China

Environmental regulation has been confirmed to have an important impact on enterprise productivity, which is regarded as a crucial factor of enterprise duration. However, existing studies have paid little attention to how environmental regulation affects enterprise duration. Using firm‐level data from the Chinese Industrial Enterprises Database (2003–2007) and the stochastic frontier analysis method, we estimate enterprise total factor productivity (TFP) and its four decomposed components (scale efficiency change, technological change, factor allocation efficiency change, and technical efficiency change). Meanwhile, we adopt a comprehensive index to measure the environmental regulation intensity. Furthermore, we use the linear probability model and the proportional hazards model to investigate the effect of environmental regulation on enterprise duration through the mediating role of enterprise TFP. The results show that although environmental regulation per se negatively impacts on enterprise duration, environmental regulation can present a synthetic positive effect on enterprise duration due to its positive effect on enterprise TFP. Specifically, environmental regulation significantly mitigates the scale efficiency and technical efficiency of regulated enterprises. It also stimulates regulated enterprises' technological innovation and improves their factor allocation efficiency. In addition, state‐owned and large‐scale enterprises are more malleable when facing environmental regulations. We propose that the government should encourage enterprises to innovate and improve the allocation efficiency of production factors, so as to achieve the purpose of controlling environmental pollution in stages while extending enterprise duration.     

Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach

This paper investigates the process of GDP generation in former Soviet Union (FSU) economies to provide an understanding of the impact of technology channels on countries’ efficiency. We apply a stochastic frontier approach to 15 FSU economies over the period 1995–2008 and find that FDI and human capital improve countries’ technical efficiency. Furthermore, we show that these factors also have a positive impact on total factor productivity (TFP), which, in turn, improves real GDP growth. Hence, our results suggest that FSU countries should promote public policies that provide incentives to attract foreign investment and enhance domestic education in order to improve their economic growth. Additionally, our empirical evidence argues against the resource curse hypothesis. We also show, by computing efficiency change and technological change indices at the country level, that FSU economies benefit more from exploiting technological progress than from catching up to the best practice frontier.     

A note on the relationship between the total factor productivity and the network of firms

In this paper we study the robustness of the results found recently by Guzzini and Palestrini (J Econ Interact Coord 11:35–55, 2016). Since the original analysis was carried out in a static setting, we perform a dynamic panel analysis by using the same dataset. The inclusion of the lagged value of the endogenous variable, missing in the original paper, could be justified for several reasons. Firstly, the statistical relationship may have itself a dynamical nature; secondly the inclusion of lagged-endogenous variable is a way to mitigate the possibility of an omitted variable problem. We find that the results are only qualitatively the same, and we discuss the quantitative differences.