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Different from Marx's analysis of the dialectical relationship between the production and realization of surplus value, the Okishio theorem only shows one aspect of the contradictory movement of the total social capital, that is, the reverse effect of the realization of surplus value on the production of surplus value.

The production of surplus value and the realization of surplus value are simplified into one process. This simplification eliminates the contradiction between the production and realization of surplus value, and the antagonistic contradiction between accumulation and consumption and the antagonistic production-distribution relationship in capitalist society are naturally covered up.

Therefore, it cannot explain the actual expansion way of the falling general rate of profit as the historical development law of capitalism. Nevertheless, it should be noted that the Okishio theorem places the analysis of the general rate of profit back into the social reproduction model with department equilibrium, which points out the significance of wage income to the realization of surplus value and outlines the macro mechanism of the realization of surplus value reacting to the production of surplus value. It also strongly promotes the research progress of the law that the profit rate tends to decline.

The mistake of the Okishio theorem is that the exchange process in the labor market forms the real wage rate. It determines the production price of wage goods, which thereby determines that the production price of capital goods and general rate of profit, the production of surplus value and realization of surplus value are simplified into the same process, and only the value that can be realized is the real value.

This paper aims to analyze the influence of business decision on process efficiency and production technology in the communication equipment and consumer electronics sectors of Indian hardware electronics industry after liberalisation.

The study is based on 26 sample firms, belonging to the two sectors of Indian hardware electronics industry with continuous operation from 1993 to 2004. Estimation of the contribution of production technology and process efficiency to output growth is based on stochastic production function. Influence of business decisions on production technology and process efficiency is based on indigenously developed business decision model.

Sectors, in general, fail to achieve improvement in process efficiency in comparison to progress in production technology. The business decisions factors like improve capacity utilization and operational efficiency together with decisions to adopt vertical integration to help sample firms to achieve both progress in technology and improvement in process efficiency in the sectors. However, R&D investments and technology imports are costly for both, indicating inadequate and inappropriate investments made by the sample firms. Disinclination of firms towards improving or developing their own technology is evident from their high dependence on import of technology.

This study only analyses the role and importance of business decision factors in the past. What lies ahead is to meet the challenges and improve performance to withstand the stiff competition. This study suggests for further research about how to improve on the effectiveness of business decision factors that can help Indian hardware electronics industry to survive competition.

The paper develops a business decision model which analyses the impact of business decisions on production technology and process efficiency for a sample of firms in Indian hardware electronics industry.

Agricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a requirement for promoting green and low-carbon development of agriculture. Agricultural production agglomeration is widespread worldwide, but the relationship between agricultural production agglomeration and agricultural carbon productivity is inconclusive. This paper aims to study the impact of agricultural production agglomeration on agricultural carbon productivity, which is conducive to a better understanding of the relationships among agglomeration, agricultural economic development and carbon emission, better planning of agricultural layout to build a modern agricultural industrial system and achieve the goal of carbon peaking and carbon neutrality.

Based on China's provincial data from 1991 to 2019, this paper uses non-radial directional distance function (NDDF) and Metafrontier Malmquist–Luenberger (MML) productivity index to measure total factor agricultural carbon productivity. Subsequently, using a panel two-way fixed effect model to study the effect and mechanism of agricultural production agglomeration on agricultural carbon productivity, and the two-stage least squares method (IV-2SLS) is used to solve endogeneity. Finally, this paper formulates a moderating effect model from the perspective of the efficiency of agricultural material capital inputs.

The empirical results identify that Chinese provincial agricultural carbon productivity has an overall growth trend and agricultural technological progress is the major source of growth. There is an inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity. The input efficiency of agricultural film, machine and water resources have moderating effects on the inverted U-shaped relationship. Agricultural production agglomeration also promotes agricultural carbon productivity by inhibiting agricultural carbon emissions in addition to affecting agricultural input factors and its internal mechanisms are agricultural green technology progress and rural human capital improvement.

This paper innovatively adopts the NDDF–MML method to measure the total factor agricultural carbon productivity more scientifically and accurately and solves the problems of ignoring group heterogeneity and the shortcomings of traditional productivity measurement in previous studies. This paper also explains the inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity theoretically and empirically. Furthermore, from the perspective of agricultural material capital input efficiency, this paper discusses the moderating effect of input efficiency of fertilizers, pesticides, agricultural film, agricultural machines and water resources on agricultural production agglomeration affecting agricultural carbon productivity and answers the mechanism of carbon emission reduction of agricultural production agglomeration.

The purpose of this paper is to propose and analyze a model to obtain a total factor productivity of an industry through quantitative empirical analysis in order to determine the joint contribution of the production and technology function, and the change and technical progress. The case of the Peruvian large shipbuilding industry between the years 1969 and 1990 was considered for the analysis of the proposed model. The large shipbuilding in Peru finished in 1992 and has restarted in 2014. The importance of the study lies in the fact that the analysis is focused on an industry which is resurfacing, and in this regards, the study of the first production period will yield more and accurate information to make decisions regarding its future development.

One way of considering the several effects of technical progress, in line with Sato (1970) such as growth and bias, is to specify a production function maintaining the linear homogeneity property, such as: Y(t)=F [A(t)K(t), B(t)L(t)], where Y(t) is the aggregate product over a period of time (t); K(t) is the capital; L(t) is the labor; and A(t) and B(t) are the efficiencies or augmentations of K(t) and L(t), respectively. Based on the regression analysis data, the value of σ can be estimated to a residual growth rate (Kennedy and Thirlwall, 1972) that allows assessing the technical knowledge that is not attributable to the factors’ efficiency grains: TCTR = T ˙ / T − ( α ( A ˙ / A ) + β ( B ˙ / B ) ) . This last expression measures the residual technological growth rate (TCTR, by its Spanish acronym).

The results of the analysis of the large shipbuilding at SIMA-Callao during the given period (22 years of operation, between 1969 and 1990) show that the necessary installed capacity and the technological knowledge was available in order to develop a complex industrial process in the South Pacific region, thus, contributing to the sector’s growth in the country. The evolution of the shipbuilding activities coincides with the GDP expansion and decline periods in Peru. According to the results, the total factor productivity increased during 1969-1976, 1979-1982, and 1986-1987 periods and it has been confirmed that the contribution of the efficiencies of the production factors were inversely related to the economies of scale and output growth.

The analysis is based on the activities carried out throughout 22 years of operations in SIMA-Callao shipyards (1969-1990). The data regarding the product, labor, imported materials costs, local material costs, direct expenses, wages, and man-day costs was obtained from several sources within the shipyard. Direct expenses correspond to classification, inspections, administrative expenses (dock, quality control, equipment rental, etc.), drawings, technical data, insurance, and materials freight. Additionally, the sources of information are project construction contracts, annual expenses reports, and man-day cost quarterly reports of the shipbuilding area. The man-day cost includes salary, social benefits, and the company’s functional cost.

There are different ways to obtain productivity index. In this case, the authors used the stated model. In addition, based on this experience, this can be applied to other industries.

The purpose of this paper is to analyze the influence that the financial restrictions of Chinese enterprises exert on their green innovation abilities with their increased integration into the global supply chain (GSC).

This study uses customs, import, and export data for 222,773 Chinese enterprises and examined them by ownership type, capital density, and degree of pollution.

The results show that the deeper the integration into the GSC, the looser the financing environment would be, and the stronger the green innovation abilities of the enterprises.

The findings suggest that China should step up privatization of state-owned enterprises, increase government subsidies to private enterprises, and loosen their financing restrictions to address the recent economic decline in the country and ensure smooth and fast economic growth.

This paper is one of the first of its kind to develop and empirically analyze the relationship between the GSC and the financing restrictions and their determinant factors in China. It uniquely contributes to help the authors find approaches to constructing China’s green innovation and has far-reaching implications for other developing countries.

Facing keen worldwide competition, it is not enough for companies to pursue customer satisfaction; they must actively pursue customer delight. This paper seeks to design a work‐in‐process (WIP) exception handling system (WIPEHS) not simply measuring on‐time delivery performance for managers to take necessary improvement activities. It helps managers detect abnormal WIP levels in advance, trigger rectifying actions and finally notify pertinent people to coordinate roots causes and preventive means.

The structure of WIPEHS is proposed and then constructed with a soft package, Vigilance. A typical semiconductor factory is built and production data are simulated to evaluate the effectiveness of WIPEHS.

Collecting and analyzing results from the simulated typical semiconductor factory, the paper finds that the proposed system can effectively improve on‐time delivery performance; and that durations from a WIP exception detected a WIP exception back to normal and durations between two successive WIP exceptions significantly.

It helps factories outperform due dates, achieving significantly higher performance than prior performance without the production exception handling system, which should greatly please customers.

The proposed WIPEHS provide a total solution for undesirable production variations potentially harmful to due‐date performance. It anticipates WIP exception, notifies pertinent recipients, tracks the progress of exception resolution, and provides a forum for discussion of the root causes.

The purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies.

A Lean Manufacturing tool, the 5-Whys Analysis, has been used to find out the root causes associated with the problem identified from a data analysis of production orders of a fashion-luxury company. A case study, which explains the methodology and illustrates the capability of the tool, is provided.

This tool can be considered a suitable instrument to identify the causal factors of inefficiencies within luxury supply chains, suggesting potential countermeasures able to eliminate the problems previously highlighted. In addition, enabling technologies that deal with Industry 4.0 are associated with the root causes to enable further improvement of the supply chain.

The effectiveness and practicality of the tool are illustrated using an industrial case study concerning an international Italian signature in the world of fashion-luxury footwear sector.

This framework provides practitioners with an operative tool useful to highlight where the major inefficiencies of fashion-luxury supply chains take place and, at the same time, individuates both the root causes of inefficiencies and the corresponding corrective actions, even considering Industry 4.0 enabling technologies.

Ten years after the Earth Summit, a frequently asked question is how much, if any, progress has actually been made toward sustainable development. This article provides insight into the progress made by business in addressing and measuring progress toward sustainable production. Using a five‐level indicator hierarchy developed at the Lowell Center for Sustainable Production, the authors analyzed the environmental sustainability indicators voluntarily‐reported by six pharmaceutical companies, half of which are Global Reporting Initiative pilots. Results demonstrate that most indicators currently being publicly reported address performance or eco‐efficiency (Level 2), a few indicators look at environmental effects (Level 3), only the Global Reporting Initiative pilots are beginning to address and report on supply‐chain and product life‐cycle effects (Level 4), and no companies are addressing carrying capacity issues (Level 5). Based on their experience with other companies, the authors feel that the results of this small, single‐industry survey reflect the current state‐of‐the‐art in terms of developing more sustainable production systems.

The purpose of this paper is to explore how the manufacturing and supply chain flexibility impact on the ability to transfer production between the units, i.e. production network coordination. To take advantage of available opportunities for different actors and locations, companies need to effectively transfer production.

The case studied was a transfer of production between The Netherlands and Sweden. The case was selected based on the opportunity it provided to perform a longitudinal study of an ongoing production transfer.

Different flexibility dimensions have different importance depending on the receiver or sender. A production transfer can be divided into four parts: knowledge, physical, administrative and supply chain transfer. The manufacturing flexibility have a high impact on the physical and knowledge transfer, the new product development dimension also have a major impact on the administrative transfer in combination with the supply chain flexibility dimension IT. The supply chain transfer was impacted by the supply chain flexibility dimensions except IT.

The paper presents a first step towards a tool for analysing the strength and weaknesses within units in relation to receiving/sending production. Furthermore, that the production transfer should be viewed as four parts with interdependencies help to identify the order of the transfer process.

This paper widens the flexibility concept to a network level. Furthermore, it describes the link between the strategic decision of coordination in the network and the operational ability of the network to accomplish this change.

COMPARISONS are often made between the way in which Britain utilises its manpower and the manner in which it is deployed by other major industrial nations. They are generally unfavourable to this country. To recognise the existence of a problem is wise; to devise means to overcome it, especially when it is of such magnitude, is even wiser.