Incorporating Price-Induced Innovation in a Symmetric Generalised McFadden Cost Function with Several Outputs

This paper proposes a multiple-output Symmetric Generalised McFadden (SGM) cost function, incorporating both exogenous and endogenous technological change. Whilst exogenous technological change is captured by the usual time trend, endogenous or price-induced technological change is cast within a partial-adjustment framework involving lagged input prices. The study points to various dimensions or components of technological change, and allows to disentangle pure factor substitution, given the state of the technology, from factor substitution due to price-induced changes in technology. Under the conditions of non-jointness in input quantities, the model further allows to identify technological change biases for each output separately. An empirical application is presented in which the proposed model is applied to time-series data on the feed manufacturing industry in Belgium. To improve on the econometrics, the SGM cost function also incorporates linear splines.     

An Atemporal Microeconomic Theory and an Empirical Test of Price-Induced Technical Progress

An exhaustive comparative statics analysis of a general price taking cost-minimizing model of the firm operating under the influence of price-induced technical progress is carried out from a dual vista. The resulting refutable implications are observable and thus amenable to empirical verification, and take on the form of a symmetric and negative semidefinite matrix. Using data from individual cotton gins in California’s San Joaquin Valley, we empirically test the complete set of implications of the price-induced technical progress theory using both classical and Bayesian statistical procedures. We find that the data are fully consistent with the atemporal, cost-minimizing, price-induced microeconomic theory of technical progress.     

Analyzing China's productivity growth: Evidence from manufacturing industries

This article examines the growth attributes of manufacturing industries in China for the sample period of 1999–2007. The output growth of manufacturing industries classified under four groups and four regions is decomposed into four components of input growth, scale effect, technical progress, and technical efficiency change. A stochastic frontier model is applied to the translog production function to estimate technical efficiency. Despite the conventional argument that input growth and technical progress are important factors to output growth, the empirical findings show a significant scale effect but a weak technical efficiency change. The contribution to growth from labor has been replaced by human and physical capitals. Structural transformation in the industrial sector is evident, so as regional imbalances.     

Price-induced technical progress in 80 years of US agriculture

This paper presents a theory of technical progress that interprets the price-induced conjecture of Hicks. It provides also an exhaustive set of comparative statics conditions that constitute the scaffolding for an empirical test of the theory. A crucial assumption is that entrepreneurs make decisions about techniques on the basis of expected information about prices and quantities. Another assumption is that these decisions are made in order to fulfill a profitability objective. The novelty of our approach is that expected relative prices enter the production function as shifter of the technology frontier. The consequence of this assumption is an expansion of the traditional Shephard lemma that is useful for identifying the portion of input quantities that has been determined by the conjecture of price-induced technical progress (PITP). The theory is applied to a sample of 80 years of US agriculture. Three versions of the general model are presented. The first version deals only with expected relative prices. The empirical results do not reject the PITP hypothesis. The second and third versions introduce lagged expected relative prices, lagged R&D expenditures and lagged extension expenditures as explanatory variables of the portion of the input quantities that may be attributable to technical progress. I acknowledge invaluable discussions on this subject held over several years with Michael R. Caputo. I also acknowledge the use of the theory and its justifications that were presented in previous papers by Paris and Caputo (2001) and by Caputo and Paris (2005). All the errors are mine. I dedicate this paper to my wife, Carlene, who died of a rare cancer on May 5, 2001.     

Decomposing multifactor productivity in Italy from 1998 to 2004: evidence from large firms and SMEs using DEA

This paper presents a firm-level analysis of multifactor productivity (MFP) in Italy between 1998 and 2004. Using data envelopment analysis (DEA) technique, MFP change are measured for 31 industries and decomposed into efficiency change and technical change (which in turn is interpreted as the combined effect of technical progress and scale economies). The results highlight the stagnation in many Italian production activities and even a decrease in MFP in some industries. A non-parametric statistical test on the results obtained from DEA reveals that the analysed larger firms have been more likely to perform better in efficiency than the smaller ones. This outcome seems to complement the Schumpeterian view of a relatively high attitude of larger firms towards technological innovation and productivity growth.     

Technical progress and induced innovation in China: a variable profit function approach

Journal of Productivity Analysis - We propose a new methodology to estimate empirically the input price-induced technical change and total factor productivity (TFP) growth in China. Our primary...     

Is technical change embodied in the capital stock or new investment?

The question of technical change and productivity growth is one of the fundamental empirical issues of our time. Surprisingly, Solow's original question of whether technical change is embodied in investment or the entire capital stock has been largely neglected. This paper seeks to bridge the early work of Solow and others on the extent of embodiment of technical change with the more modern approach to estimating the structure of production and technical change using multifactor cost functions. We also attempted to identify the source and structural nature of embodied technical change by decomposing it. Our theoretical model is applied to a pooled cross-section of six OECD countries for the 1965–1989 period. Our preferred model is one of full factor-augmenting embodied technical change because technical change augmenting the entire capital stock tends to overstate quality change in the aggregate capital stock more than that embodied in new investment. This model specification supports the view that technical change is embodied in the stock of capital structure and is embodied in new investment of capital equipment.     

A structural equation approach to measuring technological change: An application to Southeastern U.S. Agriculture

The study demonstrates a method of obtaining consistent estimates of technological change. This was accomplished by extending Theil's differential input demand system into a Multiple Indicator, Multiple Cause (MIMIC) structural equation latent variable model which explicitly accounts for the fact that technological progress is not directly observed and therefore is invariably measured with error. Results obtained for the agricultural sector of the Southeastern states suggest that technological change has been an important determinant of agricultural production and is bias towards the use of capital and against the use of land and labor.This research was partially supported by the McKethan-Matherly Eminent Scholar Chair, graduate school of Business Administration, University of Florida.     

Productivity, convergence and policy: a study of OECD countries and industries

This paper analyses trends in labour productivity and its underlying determinants in a panel of OECD countries from 1979 to 2002. Data Envelopment Analysis (DEA) is used to estimate a Malmquist measure of multifactor productivity (MFP) change. We decompose the growth in labour productivity into (i) net technological change (ii) input biased technical change (IBTC) (iii) efficiency change and (iv) capital accumulation. We analyse the effect of each of these factors in the transition towards the equilibrium growth paths of both labour productivity and per capita GDP for the OECD countries, controlling for the effects of different policies and institutions. The results indicate that on average gaps in productivity or income levels are narrowing down although there is no evidence to suggest that the entire OECD area comprises a single convergence “club”. Using kernel estimation methods we find that that labour productivity and per capita GDP are settling toward a twin peak (bimodal) distribution. Panel unit root tests over an extended (1960–2001) period provide general support for the convergence hypothesis. Analysis of the contributions of productivity growth within industries and sectoral composition changes show that aggregate productivity change is predominantly driven by ‘net’ within sector effects with very little contribution emerging from sectoral shifts (the ‘in-between’ static or dynamic effects resulting from higher or above average productivity industries gaining employment shares or low productivity industries losing shares).     

Skill-biased technical change in US manufacturing: a general index approach

This article applies recent advances in productivity and efficiency measurement to the evaluation of skill-biased technical change. Using the general index approach we are able to establish an explicit and unconstrained time path for nonneutral technical change between production and nonproduction labor in US manufacturing industries over the 1959–1996 period. Our findings confirm the prevailing interpretation in the labor economics literature that substantial reductions in the relative share of production labor are attributable to a sustained period of nonneutral technical change. However, we find that skill-biased technical change effects are most evident prior to 1983. This predates the diffusion of personal computer technologies in the workplace and the dramatic wage structure changes associated with the 1980s. In contrast to prevailing alternatives, the general index approach also permits us to explain observed shifts in relative labor demand as a combination of price-induced substitution, nonhomothetic output effects and skill-biased technical change responses to a range of proposed elements.     

Adapting Productivity Theory to the Quadratic Cost Function. An Application to the Spanish Electric Sector

In this article we have adapted productivity analysis to the case of a cost model using a quadratic cost function and discrete data. The main theoretical result is a productivity index that can be decomposed into modified versions of the contribution of technical change and the effect of the variations in the scale of production. This framework has been applied to the study of the Spanish electric sector from 1985 to 1996, during which relevant regulatory changes were introduced in order to increase productivity. For this, a normalized quadratic cost function was estimated. The results show important productivity gains with both technical change and scale effect playing important roles.     

Productivity change in a multisectoral economic system

We estimate productivity growth without recourse to data on factor input shares or prices. In the proposed model, the economy is represented by the Leontief input–output model, which is extended by the constraints of primary inputs. A Luenberger productivity indicator is proposed to estimate productivity change; this is then decomposed in a way that enables us to examine the contributions of individual production factors and individual commodities to productivity change. The results allow for the identification of inputs or outputs that are the drivers of the overall productivity change. Their contributions are then decomposed into efficiency change and technical change components. Using input–output tables of the US economy for the period 1977–2006, we show that technical progress has been the main source of productivity change. Technical progress was mostly driven by capital, whereas low-skilled labour contributed negatively.     

Incorporating ancillary measures of process and quality change into a superlative productivity index

One of the persistent problems plaguing the measurement of productivity and output is accounting for changes in product quality. A similar problem arises in attempting to explain shifts in a production function using information on changes in the characteristics of the production process itself. We consider these problems under a behavioral model in which the firm chooses a profit-maximizing bundle of input/output/process characteristics as well as the profit maximizing levels of input and output. This view of quality change is similar to the endogenous design index advocated by Triplett [1983] for industrial prices and the endogenous quality indexes analyzed by Pollak [1983] for consumer prices. We show how a price-characteristics locus can be used to adjust the Tornqvist output- and input-oriented multifactor productivity indexes of Caves, Christensen and Diewert [1982] for changes in input, output and process characteristics. To show the applicability of the methodology to services, we apply the results in the framework of the commercial banking measurement of Fixler [1988] to measure the impact of bank branching on multifactor productivity.The refereeing process of this paper was handled through R. Färe.     

ENDOGENIZING CONSUMPTION IN THE INPUT‐OUTPUT MODEL: THEORY AND APPLICATION

Since the basic model of input‐output analysis does not take into consideration the income effect on consumption expenditure, we constructed a model which endogenizes consumption and breaks down integrated production inducement into Leontief and Keynesian effects in a generalized context and in two solution approaches. Using short‐term marginal consumption propensities, we estimated that Keynesian effects make up about 14% of the integrated inducement effects for Japan. The public services sector, which is not influential in the basic model, becomes very influential in consideration of Keynesian effects. Manufacturing and service sector products are the main targets of the expanded consumption. The impact of a change in exogenous final demand can be easily simulated by applying the suggested apparent input coefficient matrix to the integrated inverse matrix.     

SOCIAL ACCOUNTING MATRIX FOR INDIA

This paper provides the latest Social Accounting Matrix (SAM) of the year 2003–2004 for the Indian economy with a wide variety of disaggregation for the Energy sector and the sectors that are relevant for environmental and climate policy evaluation. This SAM shows the interaction between production, income, consumption and capital accumulation. It can be used to provide an analysis of the interrelationship between the production structure of an economy and the distribution of incomes and expenditures of different household groups. In addition, it can be used for multiplier analysis to capture direct, indirect and induced impact on input use due to any exogenous changes in the economy. This SAM consists of 85 sectors of the economy, three factors of production and nine categories of occupational households. The Indian economy is becoming structurally biased towards capital intensive sectors, such as service and energy production. The energy production sector itself is the most energy intensive sector as of 2003–2004.     

2005年-2011年间我国矿业生产效率分析——基于DEA模型的Malmqusit指数实证分析

本文采用了2005年至2011年共7年的相关投入产出指标,使用数据包络分析的Malmqusit指数模型,对矿业的Malmqusit生产率指数进行测度,认为我国矿业的生产效率除2008-2009年间外均存在上升的趋势;然后对其进行RD分解,得到综合技术效率变动、技术进步、纯技术效率变动、规模报酬变动四个不同的指标值,认为生产效率改进的主要原因是技术进步效率的提升,而综合技术效率变动、纯技术效率变动、规模报酬则拖累了生产效率,随后分析了四个不同指标值的经济含义。     

Measurement of innovation efficiency in logistic enterprises: Evidence from China based on the three-stage DEA-Malmquist index model approach

Continuous improvement of technological innovation ability, adjustment of the development strategy, and enhancement of operational performance are of great theoretical and practical significance for logistics enterprises. This paper aims to analyze and evaluate the innovation efficiency of the logistics industry. The study utilizes the static three-stage DEA model and the dynamic Malmquist index model, considering a total of 12 indicators related to innovation input, output, and environmental variables. A dataset of 2940 entries from 49 listed logistics enterprises from 2017 to 2021 was calculated. The analysis provides insights into the innovation efficiency of logistics enterprises from a static perspective and the innovation total factor productivity from a dynamic perspective and decomposition terms. Based on the analysis of environmental variables by the SFA model, it was found that DEA inefficiency is the combined result of environmental factors and management inefficiency. Environmental variables have both positive and negative effects on innovation. The improvement of the economic development level will lead to excess R&D investment. Increased government simple fund subsidies are not conducive to the efficient allocation of innovation resources within enterprises. The expansion of enterprise scale will increase R&D personnel and investment in fixed assets. A thriving technology market can encourage enterprises to improve their own conversion rate of scientific and technological output and give full play to their innovation ability. The dynamic Malmquist model analysis reveals a recution in the overall innovation efficiency of listed logistics enterprises over 5 years. The changes in total factor productivity and technological progress efficiency of all listed logistics enterprises are synchronized, with most enterprises exhibiting higher technological progress efficiency compared to comprehensive technical efficiency. The total factor productivity of logistics enterprise innovation is mainly affected by comprehensive technical efficiency.     

Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions

This paper proposes an alternative model for separating technical change from time-varying technical inefficiency. The proposed formulation uses the general index, developed by Baltagi and Griffin (1988), to model technical change in the production frontier function and a quadratic function of time, as in Cornwell, Schmidt and Sickles (1990), to capture the temporal pattern of technical inefficiency. In such a setting, all parameters associated with the rate of technical change and the temporal pattern of technical inefficiency are identified separately. Moreover, the proposed formulation is independent of any distributional assumption concerning the one-sided error term associated with technical inefficiency, and it can be estimated in a single stage with non-linear FGLS. Empirical results based on a translog production frontier, and estimates of technical inefficiency and technical change are presented for the UK dairy sector over the period 1982–1992.     

Closing the Canadian Input–Output Model: Homogeneous vs Non-homogeneous Household Sector Specifications

This paper addresses, on both theoretical and empirical fronts, the task of endogenizing the household sector in a rectangular input–output (IO) model. The formulation of Miyazawa (1976) for square models is extended to the development of an impact matrix for rectangular models. This allows for the numerous household revenue sources to be built into the model. A closed model with non-homogeneous households is developed where individuals are modelled individually and by industry. The perform ance of the non-homogeneous household sector model is compared with a model that has a homogeneous household sector. The model with the non-homogeneous household sector is more sensitive to changes in wages and salaries than to changes in final demand.     

Productivity accounting for separable technologies

This paper develops a method for decomposing total factor productivity growth in separable production technologies and uses it to examine the role of pest-damage prevention on agricultural productivity. The rate of technical change is decomposed into output-enhancing and damage-preventing components. Growth accounting cannot provide separate estimates of these two components of technical change, and instead a parametric model is developed based on the dual cost function. The proposed model captures both components of technical change, properly accounts for environmental effects, and also accommodates the presence of capacity utilization and scale biases. The empirical application of the model is to a sample of Cretan olive-oil producers, and the results show that output-enhancing technical change is more important than damage-preventing technical change in explaining observed total factor productivity (TFP) changes. The second largest source of TFP growth is due to the scale effect.