Productivity,Technology and Economic Growth: What is the Relationship?

The relationship between productivity, technology and economic growth has been debated extensively in the endogenous growth, growth accounting, New Economy and policy literature. This paper briefly surveys the literature on total factor productivity (TFP) calculations – the various techniques and problems associated with it. We argue that TFP is not a measure of technological change and only under ideal conditions does it measure the supernormal profits associated with technological change. The critical driving force of economic growth is not the super normal profits that technological change generates but rather the continuous creation of opportunities for further technological development. Six illustrations of when TFP fails to correctly measure these super normal profits are provided. A version Carlaw and Lipsey's (2003b) model of endogenous general purpose technology‐ driven growth is then utilized to make some progress toward answering Prescott's (1998) call for a theory of TFP. The model is used to simulate artificial data and connect theoretical assumptions of returns to scale and resource costs to the conditions under which TFP miss‐measures the actual growth of technological knowledge.     

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.     

Factor Utilization and Adjusted Productivity Estimates for the UK*

This paper derives series for capital utilization, labour effort and total factor productivity (TFP) for the UK from a general equilibrium model with variable utilization and labour adjustment costs. Capital utilization tracks survey‐based measures closely, but persistent movements in total hours worked mean our labour effort series is not as highly correlated with its comparators. Our estimated TFP series is less cyclical than the traditional Solow residual, although a weighted average of capital utilization and labour effort – aggregate factor utilization – and the Solow residual are not closely related.     

A decomposition of US business sector TFP growth into technical progress and cost efficiency components

A problem with index number methods for computing TFP growth is that during recessions these methods show declines in TFP. This is rather implausible since it implies technological regress. We develop a new method to decompose TFP growth into technical progress and inefficiency arising from the short run fixity of capital and labour, and apply this to new data on the US corporate nonfinancial sector and the noncorporate nonfinancial sector. The analysis sheds light on sources of the productivity growth slowdowns over the period 1960–2014.     

Regulation and Productivity

We investigate the impact of occupational safety and health (OSH) and environmental regulation on the rate of growth of total factor productivity (TFP) in the Quebec manufacturing sector during the 1985–88 period. Our results show that environmental regulation and OSH protective reassignments (a prevention policy with respect to OSH) have led to a reduction in productivity growth, while the presence of mandatory prevention programs and of fines for infractions to OSH rules have led to an increase in productivity growth. Interestingly, this is, to our knowledge, the first result showing that OSH regulation may have had a positive effect on productivity growth.     

Trade and product innovations as sources for productivity increases: an empirical analysis

Increases in total factor productivity (TFP) are commonly associated with technological innovations measured by the stock of R&D. Empirical evidence seems to corroborate this relationship. However, in trading countries like The Netherlands, productivity increases, even in industry, can also be the result of innovations in the way transactions are managed. These innovations reduce transaction costs and exploit the welfare gains from (further) international division of labour. Such innovations are only partly included in R&D data. Consequently there is not much attention for these ‘trade innovations’—as we label them—in policy. In an empirical analysis this paper compares the influence of trade innovations with the influence of the stock of R&D on TFP in The Netherlands. The regression results show that in this country trade innovations are as important for TFP as technological innovations which directly affect the efficiency of production, which we label ‘product innovations’.      

Environmental externalities and regulation constrained cost productivity growth in the US electric utility industry

This paper examines whether having to comply with Phase 1 of Title IV of the 1990 Clean Air Act, and rate of return regulation, each impacted the rate of total factor productivity (TFP) growth when accounting for the production of good and bad outputs. Phase 1, effective from 1995 to 1999, requires electric utilities to reduce their emissions of sulfur dioxide and nitrogen oxide (bad outputs). Actions undertaken to reduce the emissions (using less sulfur content coal, installing equipment), may have led to higher production costs, and impacted the rate of TFP growth. Rate regulation may impact how the firm produces its selected output level, which could lead to higher cost over time, and biased estimates of TFP growth. Following the work of Ball et al. (Struct Change Econ Dyn 16(3): 374–394, 2005), who developed the standard Malmquist cost productivity (MCP) index, we develop a MCP index for a rate regulated firm (RMCP index) then use the standard and regulated indices to determine whether having to comply with Phase 1 impacted TFP growth. Empirical results indicate that (i) the RMCP index underestimated the rate at which TFP growth occurred, (ii) Phase 1 utilities on average experienced positive TFP growth from 1996 to 2000 (Phase 1 firms experienced higher TFP growth rates than the rates experienced by firms not subject to Phase 1), and operated more allocatively inefficient in complying with the Phase 1 restrictions. Complying with Phase 1 did not affect the rate at which technical change occurred or the rates of change in scale efficiency.     

区域制造业空间效应及生产性服务业发展模式选择

通过空间计量模型考察生产性服务业发展模式与制造业集聚的空间溢出效应后发现:生产性服务业专业化水平及多样化水平与制造业集聚呈倒U型关系,同时城市化水平会对服务业发展模式与制造业集聚关系产生影响。分区域模型研究发现,生产性服务业对制造业全要素生产率影响因区域经济发展水平、产业层次、要素禀赋等因素有所差异,东部地区制造业全要素生产率与生产性服务业呈线性关系,适合选择多样化发展模式;中部地区呈倒U型关系,现阶段中部地区生产性服务业更适合选择多样化发展模式;西部地区生产性服务业发展水平与制造业全要素生产率呈正U型关系,生产性服务业专业化和多样化发展都将促进制造业全要素生产率提升。     

A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach

This paper applies a stochastic frontier production model to Korean manufacturing industries, to decompose the sources of total factor productivity (TFP) growth into technical progress, changes in technical efficiency, changes in allocative efficiency, and scale effects. Empirical results based on data from 1980–1994 show that productivity growth was driven mainly by technical progress, that changes in technical efficiency had a significant positive effect, and that allocative efficiency had a negative effect. This study suggests that specific guidelines are required to promote productivity in each industry, and provides additional insight into understanding the recent debate on TFP growth in Korean manufacturing.     

General Equilibrium Analysis of International TFP Growth Rates

The paper presents a study of the total factor productivity (TFP) performance among developed countries between 1985 and 1990. The analysis includes the three large economies: the US, Japan and Europe. A general equilibrium model of these economies is used to estimate TFP growth at the sectoral and at the aggregate levels. The model is based on the fundamentals of the economies and employs only data on input-output flows, factor inputs across sectors, consumption and trade patterns and endowments. Prices are endogenous in the model. They are obtained as shadow prices from the model's linear program and then used to measure TFP growth and decompose it in a technical change effect, a demand effect and a terms-of-trade effect. The technical change effect is highly correlated with the conventional Solow residual measure. This result lends support to the standard measure of technological change.     

我国技术效率、技术进步与生产率区域差异的实证研究

本文用非参数Malmquist指数方法研究了我国全要素生产率的增长状况及其区域差异,并将其分解为技术进步和技术效率,同时采用增长回归法对我国地区之间TFP、技术效率、科技进步的差异进行了检验。研究表明:1994-2007年间我国全要素生产率年均增长率达到1%,主要得益于技术进步水平的提高,技术效率总体上呈现下滑趋势;我国各省市区的科技进步、技术效率、TFP变化呈现出较为明显的差异,其中TFP和科技进步变化差异最为明显,而技术效率变化差异不大。     

我国技术创新活动的集聚效应分析

本文使用超越对数生产函数—反要素需求函数分析框架,研究了集聚经济对于我国技术创新活动全要素生产率、单要素生产率、要素价格以及要素需求的影响。结果显示,无论是在全国层面还是在区域层面,集聚经济对于我国技术创新的全要素生产率均有显著的正向作用。同时,集聚经济对于技术创新活动劳动生产率以及资本生产率没有显著影响。在区域层面,集聚经济将降低科技劳动的边际成本,同时提高对于科技劳动的需求。     

Agglomeration economies with consistent productivity estimates

This paper investigates the relative impact of microeconomic agglomeration mechanisms on plant's total factor productivity (TFP) using German establishment and employment-level data. Contrasting different strategies for estimating TFP from plant-level production functions reveals that unobserved output prices bias true productivity and lead to underestimated agglomeration economies. With the corrected TFP measure, the largest impact is found for labor market pooling, which is captured by the correlation of the occupational composition between one county-industry and the rest of the county. This main result is robust, even when the spatial units are resized from counties to larger labor market regions. Input linkages appear to be relevant only at this larger regional scale. Overall, agglomeration economies differ substantially across industries. Only for a subset of industries, some positive evidence is detected for knowledge spillovers.     

Explaining Total Factor Productivity at Firm Level in Italy: Does Location Matter?

Abstract

This study analyses how firms' internal variables and regional factors affect total factor productivity (TFP) of Italian manufacturing firms. Due to the hierarchical structure of our data, we employ a multilevel model that allows for a clear distinction between firm and region-specific effects. Results refer to 2004–2006 and show, as expected, the importance of firm-specific determinants of TFP. At the same time, they indicate that location matters in the sense that the context where firms operate plays a crucial role in determining the level of TFP. In more detail, we find that the regional endowment of infrastructure, the efficiency of local administration and the investments in R&D exert a positive effect on firms' performance.     

Production Technology Estimates and Balanced Growth

Capital‐labour substitution and total factor productivity (TFP) estimates are essential features of many economic models. Such models typically embody a balanced growth path. This often leads researchers to estimate models imposing stringent prior choices on technical change. We demonstrate that estimation of the substitution elasticity and TFP growth can be substantially biased if technical progress is thereby mis‐specified. We obtain analytical and simulation results in the context of a model consistent with balanced and near‐balanced growth (i.e. departures from balanced growth but broadly stable factor shares). Given this evidence, a constant elasticity of substitution production function system is then estimated for the US economy. Results show that the estimated substitution elasticity tends to be significantly lower using a factor‐augmenting specification (well below one). We are also able to reject conventional neutrality forms in favour of general factor augmentation with a non‐negligible capital‐augmenting component. Our work thus provides insights into production and supply‐side estimation in balanced‐growth frameworks.     

The economic impact of migration: productivity analysis for Spain and the UK

Over the past 20?years labour has become increasingly mobile and whilst employment and earnings effects in host countries have been extensively analysed, the implications for firm and industry performance have received far less attention. This paper explores the direct economic consequences of immigration on host nations?? productivity performance at a sectoral level in two very different European countries, Spain and the UK. Whilst the UK has traditionally seen substantial immigration, for Spain the phenomenon is much more recent. Our findings from a growth accounting analysis show that migration has made a negative contribution to labour productivity growth in Spain and a negative but negligible contribution in the UK. This difference is driven by a positive impact from migrant labour quality in the UK. This finding broadly holds across all sectors, but we note considerable variation in magnitudes. Labour productivity growth has a neutral contribution from migrant labour in construction and personal services in the UK, whilst in every case in Spain the effect is negative, most strongly in agriculture. Using an econometric approach to production function estimation we observe a positive long term effect on total factor productivity from migrant workers in the UK and a negative effect in Spain. Our findings suggest that either the UK is better at assimilating migrants or is more selective in terms of who is permitted to migrate.     

Spillovers,Linkages and Technical Change

Using US input–output data for the period 1958–87, I find strong evidence that industry total factor productivity (TFP) growth is significantly related to the TFP performance of the supplying sectors, with an elasticity of almost 60%. R&D intensity is also found to be a significant determinant of industry TFP growth, with an estimated return of about 10–13% and the return to embodied R&D is estimated at 43%. Direct productivity spillovers, from the technological progress made by supplying sectors, appear to be more important than spillovers from the R&D performed by suppliers. They also play a key role in explaining changes in manufacturing TFP growth over time. Changes in the contribution made by direct productivity spillovers to TFP growth account for almost half of the slowdown in TFP growth in manufacturing from 1958–67 to 1967–77, and for 20% of the TFP growth recovery in this sector from 1967–77 to 1977–87. Changes in R&D intensity and embodied R&D are relatively unimportant in explaining movements in manufacturing TFP growth over these three periods.     

土地财政、城市产出效率与全要素生产率增长差异

在国有土地使用权大量出让、财政收入快速增长的背景下,考量城市面积的快速扩张对经济增长的贡献及建设用地利用效率的高低具有重要意义。土地是经济发展中的重要生产要素,由于土地位置的固定性使得不同地区采取不同的土地财政政策,这致使城市产出效率和全要素生产率增长存在较大差异。因此对Solow模型进行扩展,使用我国1999—2009年数据,运用Malmquist指数分析方法对城市产出效率进行了实证研究。结果表明:全国各省市全要素生产率虽都呈现出上涨的趋势,但每个省市都存在土地使用效率不高问题。通过区域划分估算全国各省市全要素生产率增长情况,并使用分位数回归法分析各地区不同的增长方式,并针对土地财政、城市产出效率与全要素生产率增长差异间存在的问题提出政策建议。     

Embodying Embodiment in a Structural,Macroeconomic Input-Output Model

In this paper, I develop a regression-based system of labour productivity equations that account for capital-embodied technological change and I incorporate this system into IDLIFT, a structural, macroeconomic input-output model of the US economy. Builders of regression-based forecasting models have long had difficulty finding labour productivity equations that exhibit the "Solowian' property that movements in investment should cause accompanying movements in labour productivity. The production theory developed by Solow and others dictates that this causation is driven by the effect of traditional capital deepening as well as technological change embodied in capital. Lack of measurement of the latter has hampered the ability of researchers to estimate properly the productivity-investment relationship. Recent research by Wilson (2001) has alleviated this difficulty by estimating industry-level embodied technological change. In this paper, I utilize those estimates to construct capital stocks adjusted for technological change and then use these adjusted stocks to estimate Solow-type labour productivity equations. It is shown that replacing IDLIFT's former productivity equations, based on changes in output and time trends, with the new equations, results in a convergence between the dynamic behaviour of the model and that predicted by traditional (Solowian) production theory.