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Uses a model of technical change embodied in capital equipment to analyse average labour productivity growth. Determinants of productivity growth identified in this analysis are: (1) the rate of labour‐saving technical change; (2) the differential in the rates of change of wages and the rental price of capital; and (3) the rate of growth of industry productive capacity. Finds evidence that each of the identified factors has a positive and statistically significant relationship to average labour productivity growth in a cross‐section of Australian manufacturing industries.

The aim of this paper is to characterize adaptation processes in business relationships. The nature of adaptive behavior is described by outlining activities and events in these relationships. The role of perceived product importance and complexity in the character of the adaptations processes is sought.

A case study approach is adopted and two long-term relationships between buyers and sellers of capital equipment in the mining industry are investigated. Perspectives from both sides of the dyad (buyer and seller) were attained through in-depth interviews.

Findings show that supplier-based adaptations occur more frequently than customer-based adaptations. The market antecedents of concentration and resource dependency are identified as drivers of adaptive behavior. Furthermore, product importance and complexity are key drivers to adaptation processes and the development of long-term relationships. Supplier's brand name and the choice of a direct channel strategy are identified as indicators of long-term commitment to the market. Moreover, two-task related factors were extremely relevant as selection criteria for capital equipment: the functional suitability and the degree of standardization/customization of the equipment.

The findings are specific to the market environment and recommendations are given for the realm of the mining industry. Multi-case studies in multi-contexts should be conducted to enable generalization and potential theory-building.

A number of important managerial implications for buyers and sellers of capital equipment in the mining industry are given.

This paper contributes to knowledge by providing rich descriptions of adaptation processes. This real life evidence enables the identification of major drivers of adaptive behavior and, consequently, the development of long-term successful relationships.

New series of Spain's capital stock and input are provided for the last one and a half centuries for the first time. Capital stock and input grew at average rates of 3.5 and 3.7 percent per year, respectively, but not at a steady pace since rates accelerated dramatically during the “Golden Age.” Two major structural changes accompanied this process. The composition of the capital stock and returns to it changed gradually as the contribution of producer durables rose while that of structures declined. Capital deepening took place in the long run. Although the capital–output ratio increased over time, in phases of accelerated growth the productivity of capital rose.

We examine the two-level nested constant elasticity of substitution production function where both capital and labor are disaggregated in two classes. We propose a normalized system estimation method to retrieve estimates of the inter- and intra-class elasticities of substitution and factor-augmenting technical progress coefficients. The system is estimated for US data for the 1963–2006 period. Our findings reveal that skilled and unskilled labor classes are gross substitutes, capital structures and equipment are gross complements, and aggregate capital and aggregate labor are gross complements with an elasticity of substitution close to 0.5. We discuss the implications of our findings and methodology for the analysis of the causes of the increase in the skill premium and, by implication, inequality in a growing economy.

The purpose of this paper is to investigate the impact of mechanization services on farm productivity in Northern China from an empirical perspective, with the aim to identify the underlying market and institutional barriers.

The authors apply the regression method with the control of village fixed effects to examining the relationship between capital–labor ratio, mechanization service ratio and farm productivity, using the panel data collected in 2013 and 2015 by CCAP.

Mechanization services improve farm productivity through substituting labor, but it may generate a less positive impact on farms who do not have self-owned capital equipment.

It is the first study to investigate how mechanization services affect farm productivity for grain producers in Northern China.

The objective of this study is to evaluate the overall technical efficiency, labor efficiency, capital efficiency and equipment efficiency of 30 Chinese construction sectors to foster sustainable economic growth in the construction industry.

This study employed the super-efficiency data envelopment analysis (SE-DEA) and artificial neural network model (ANN) to evaluate the industrial performance and improvement potential of the Chinese regional construction sectors from 2000 to 2017.

Results showed that the overall technical and capital efficiencies displayed relatively stable patterns. Equipment efficiency presented a relatively huge fluctuation during the sample period. Meanwhile, labor, capital and equipment efficiencies could potentially improve in the next five years. A spatial examination of efficiencies implied that the economic level was still a major factor in determining the efficiency performance of the regional construction industry. Beijing, Shanghai and Zhejiang were consistently the leading regions with the best performance in all efficiencies. Shandong and Hubei were critical regions with respect to their large reduction potential of labor, capital and equipment.

The study focused on the regional efficiency performance of the construction industry; however, it failed to further deeply discover the mechanism that captured the regional inefficiency. In addition, sample datasets used to predict might induce the accuracy of prediction results. Qualitative policy implications failed to regress the efficiency performance of the industrial policy variables. These limitations will be discussed in our further researches.

Enhancing the overall performance of the Chinese construction industry should focus on regions located in the western areas. In comparison with labor and capital efficiencies, equipment efficiency should be given priority by eliminating outdated equipment and developing high technology in the construction industry. In addition, the setting of the national reduction responsibility system should be stratified to account for regional variations.

The findings of this study can provide a systematic understanding for the current and future industry performance of the Chinese construction industry, which would help decision makers to customize appropriate strategies to improve the overall industrial performance with the consideration of regional differences.

A systems perspective of waste management allows an integrated approach not only to the five basic functional elements of waste management itself (generation, reduction, collection, recycling, disposal), but to the problems arising at the interfaces with the management of energy, nature conservation, environmental protection, economic factors like unemployment and productivity, etc. This monograph separately describes present practices and the problems to be solved in each of the functional areas of waste management and at the important interfaces. Strategies for more efficient control are then proposed from a systems perspective. Systematic and objective means of solving problems become possible leading to optimal management and a positive contribution to economic development, not least through resource conservation. India is the particular context within which waste generation and management are discussed. In considering waste disposal techniques, special attention is given to sewage and radioactive wastes.

Success lies in striking a balance between financial criteria and others.

Many companies are not satisfied with the methods used to calculate savings for capital equipment purchasing (CEP), and the existing academic literature does not provide adequate suggestions for solving this problem. Therefore, the authors will aim to analyze how companies measure savings for CEP and attempt to identify the main challenges in this area. In order to understand which savings measurement system for CEP is appropriate in a specific situation, they will explore the relevant determinants and effects of savings measurement for CEP.

After presenting a description of the theoretical foundations of CEP and savings measurement, the article presents three cases of savings measurement for CEP from manufacturing industry and pinpoints the major challenges involved. These challenges are then discussed with reference to the relevant literature and a conceptual model for savings measurement for CEP is developed.

The authors identify six procedure-specific and seven behavior-specific challenges. Procedure-specific challenges in savings measurement for CEP primarily address topics concerning components and calculation methods, while behavior-specific challenges mainly involve manipulation, trust and judgment. The authors’ formulated propositions state that savings measurement for CEP is influenced by internal and external determinants and affects CEP's performance, manipulation and trust, as well as judgments which may be made about CEP's savings measurement results.

The managerial implications of the authors’ research concern the successful design and process of savings measurement for CEP.

Savings measurement for CEP, as a special case of purchasing performance measurement, has received little attention in the academic literature. Thus, the authors will present calculation methods, along with identifying and discussing challenges and revealing relevant determinants and effects.

An aggregate production function has been used in macroeconomic analysis for a long time, even though it seems that it is conceptually confusing and problematic. The purpose of this paper is to argue that the measurement problem related to the heterogenous capital input that exists in macroeconomics is also relevant to microeconomic market situations.

The author constructed a microeconomic market model to address both the problems of the measurement of the physical capital and of substitutability between labor and capital in the short run using two types of technologies: labor neutral and labor reducing. The author proposed that labor and physical capital inputs are complementary in the short run and can become substitutes only in the long run when the technology advances.

The author found that even if the technology improves at a fast rate over time, there are then diminishing returns of profits to technology and an upper limit to profits. Moreover, the author showed that under the labor-reducing technology, labor class earns more initially as technology improves, but their incomes start declining after some threshold level of passage of time.

The author cautioned the applied researcher that the estimated labor and capital coefficients of generalized Cobb–Douglas and constant elasticity of substitution of types of production functions could not be interpreted as partial elasticities of labor and capital if in reality the data come from fixed-proportions types of processes.