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Environmental regulation policy and cleaner production technology innovation are the key links to achieve sustainable economic development. This paper tests the impact of Two Control Zone (TCZ) environmental regulation policy on cleaner production technology innovation and explains the heterogeneity effect between them from the perspective of regional pollution intensity and R&D investment scale.

This paper takes TCZ policy as an environmental regulation policy and collects the patent data related to coal desulfurization cleaner production technology innovation in prefecture-level cities from 1994 to 2002 in China. This paper also tests the relationship between TCZ environmental regulation policy and cleaner production technology innovation based on difference in difference (DID) model. Take regional R&D investment scale and pollution intensity as category variables and analyze the heterogeneity effect of TCZ environmental regulation policy on cleaner production technology innovation based on difference-in-difference-in-difference (DDD) model.

TCZ environmental regulation policy effectively promotes China's cleaner production technology innovation, but it is more conducive to cleaner production technology innovation in heavy pollution areas. With the increasing of R&D investment scale, the positive effect of TCZ environmental regulation policy on cleaner production technology innovation is stronger.

On the basis of this study, the authors should further explore the regulatory factors of the relationship between TCZ environmental regulation policy and cleaner production technology innovation and further expand the research object, so as to make the research conclusions more practical and instructive.

This paper tests the impact of TCZ environmental regulation policy on cleaner production technology innovation based on the prefecture city level data and DID model, and it handles the endogenous problem caused by the missing variables and provides the accurate conclusions. Moreover, this paper examines the heterogeneity effect of TCZ environmental regulation policy on cleaner production innovation from regional R&D investment scale and pollution intensity two hands and expands the existing theoretical research.

Striving to achieve the goal of carbon neutrality before 2060 indicates that China, as the most extensive power system in the world and a country based on coal power, is imperative to improve the technical level of electric power utilization. This paper aims to explore the nonlinear evolution mechanism of power technology progress under the constraints of net-zero carbon dioxide emissions in China.

This paper, first, based on China’s provincial panel data from 2000 to 2019, uses global direction distance function to measure power technological progress. Second, the threshold regression model is used to explore the nonlinear relationship between carbon emission reduction constraints on electric power technological progress.

There is a significant inverted U-shaped relationship between China’s provincial carbon emission reduction constraints and electric power technological progress. Meanwhile, the scale of regional economic development has a significant moderating effect on the relationship between carbon emission reduction constraints and power technological progress.

This paper puts forward targeted suggestions for perfecting regional carbon emission reduction policy and improving electric power technological progress.

Based on the global directional distance function, this paper extracts power as a production factor in total factor productivity and calculates the total factor electric power technological progress. This paper objectively reveals the influence mechanism of carbon emission reduction constraints on electric power technology progress based on the threshold regression model.

The purpose of this paper is to design a research model and analyze the relationship between open innovation and cleaner production. The paper maps and characterizes the conditions of open innovation against cleaner production in Indonesian batik small and medium enterprise (SME), particularly in Java and Madura. The mapping process is executed by classifying the batik SME into four quadrants. The diagram is a quadrant in which there are four parts to distinguish each of the ability of batik SMEs in understanding and achieving cleaner production through open innovation. This research will obtain a new method or model that can be applied by organizations to achieve cleaner production through an open innovation. The data is obtained from 182 batik SMEs located in Laweyan, Madura and Lasem (in Java Island, Indonesia).

One of the problems in batik SME is the waste management from the dyeing and wax removal process. In the first stages of this research, a number of initial models were elaborated as a reference, then the results of the elaboration became a new research model. The research model that has been produced is then tested using data from respondents. Based on the test results, the model can be stated valid or not. In this study, the model is valid after testing data from 182 respondents, because all outer loading for all indicators is above 0.7. The composite reliability and AVE values of all constructs were above 0.7 and 0.5. Based on the validated research model, the data is statistically processed by using the Structural Equation Modeling (SEM). By using the SEM method and statistical software SMART PLS 3.0this research can be supported to achieve the research objectives.

Based on data testing and processing, open innovation climate could predict a sustained relationship to open innovation with an accuracy rate of 0.466 and influence rate of 0.427, whereas open innovation could predict a sustained relationship to cleaner production with an accuracy rate of 0.183 and influence rate of 0.324. The relationships between open innovation climate and open innovation; including open innovation toward cleaner production, are statistically significant because all prediction values and accuracy in the model have met the criteria for measurement parameters based on the value of R², p value and T-statistics to be stated as a significant relationship.

This research provides an overview of the influence and importance of open innovation in creating an environmentally friendly production process in the context of cleaner production. Cleaner production on batik SMEs can be achieved through open innovation, both for inbound open innovation and outbound open innovation. Open innovation comprehensively provides support for batik SMEs in achieving cleaner production. Open innovation can be run well and optimally if it gets support from a conducive climate open innovation. Furthermore, the implementation of cleaner production could be a guideline for the owner to minimize the waste from batik SME production, both for natural and synthetic dyes. Some limitations in these study include the absence of influence from the existing stakeholders on batik SMEs on the implementation process of open innovation; the use of the cross-sectional approach that results in the unavailability of further analysis regarding the dynamics or improvements that occur in attaining cleaner production through open innovation; and finally providing no analysis of the differences in characteristics at each location of batik SMEs.

The implementation of cleaner production model is considered as one of the new methods and references in conjunction with reducing the negative impact of waste toward the environment, particularly in the traditional textile industry which is limited in waste management capability.

The purpose of this paper is to assess whether environmental management systems (EMS) according to ISO 14001 requirements have contributed to the implementation and adoption of new technologies and to the issues related to technology performance in industrial enterprises.

The research is based on the questionnaire survey conducted on a sample of ISO 14001 certified Slovene manufacturing companies.

The results revealed that ISO 14001 certified manufacturing companies still mostly used the combination of partly adopted and partly modified technologies in order to reduce environmental impacts. ISO 14001 was considered as a very useful tool for the promotion of technological modernisation. It was shown also that ISO 14001 standard can play a significant role as a support tool for the acceleration of technological innovation activities regardless of the origin of the technology.

The research surveyed only industrial ISO 14001 certified enterprises in the Republic of Slovenia. Differences among industrial branches exist as well as among small, medium and large enterprises. These facts must be further studied.

ISO 14001 certification proved to be an important driver for technological modernisation in industrial practice. Some environmental indicators are still underestimated or nonsufficiently included into firms' environmental policies and must be certainly improved. Since adoption of new technologies and EMS were rarely covered together the findings are interesting for wider community.

The paper covers a subject on how adoption of ISO 14001 influences technological changes and related activities. Not many information and in‐depth case studies have been available until now.

The purpose of this paper is to investigate different types of innovations and their effects on eco-innovation practices by firms practicing green technology in Malaysia.

This paper collected data via postal and online surveys. The population frame for this study was obtained from the External Trade Development Corporation directory 2010 and the MyHijau Directory published in 2013. Surveys were distributed to the top management of green technology companies.

Based on the reflections from the managers who participated in the survey, this study found that environmental compliance has become a critical issue and lack of enforcement can no longer be ignored. Despite that fact that eco-innovation inspection activities to comply with environmental regulations are carried out periodically by the studied firms, the challenges in deploying the latest green technologies and their potential benefits have remain evident. Often, a shortage of resources has restricted firms in setting up in-house research and development units.

The findings of this study lead to the suggestion that firms practicing green technology should engage in an information-sharing culture with key suppliers regarding the latest know-how and technological developments. Among the recommendations are that firms should engage employees, customers, suppliers and competitors through co-production. This engagement will help improve product marketability, lean production processes and the design of desired green products.

This study investigated the level of eco-innovation practices for each dimension of its construct and compared that level to the different stages of firm innovation. The results will fill in the gaps in the literature because previous studies only focused on theory testing and modelling of eco-innovation from a multidisciplinary approach.

The purpose of this paper is to propose a framework for analyzing the relationships between the antecedent factors, mediators and consequences of sustainable operations (SO), which can be applied for empirical studies in the manufacturing industry.

Based on the importance of identifying the determinants of SO, a qualitative and exploratory research was developed through an extensive review of the literature.

The main theoretical contribution of this research on organizational studies is the SO analysis proposition framework, which allows the elaboration of scales, based on observable variables of each factor, as well as evaluating the influence intensity of the relations between the constructs.

The proposed framework of this research was developed to analyze companies of the manufacturing industry. In order to use the proposed framework in other industries (commerce, services), it will be necessary to make adaptations and adjustments on the observable variables and constructs.

The paper has an important theoretical value in proposing scales for the SO factors and can be useful for future quantitative approach and surveys. Consequently, the researcher will be able to evaluate the scales of the factors and the intensity of the relations between observable variables in the formation of the constructs, as well as the intensity of influence among the constructs.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

The purpose of this research is to establish a conceptual model to understand the impact of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) on the transition of a Circular Economy (CE). Also, the paper explores the combined impact of TPM, I4.0 and CE on the sustainability performance (SP) of manufacturing firms.

The conceptual model is proposed using the dynamic capability view (DCV) and empirically validated by partial least squares-structural equation modelling (PLS-SEM) using 304 responses from Indian manufacturing firms.

The results suggest that I4.0 positively impacts TPM, CE and SP, also showing TPM's positive impact on CE and SP. In addition, CE has a positive influence on the SP of manufacturing firms. Furthermore, CE partially mediates the relationship between I4.0 and SP with TPM and SP. The study also identifies TPM, I4.0 and CE as a new bundle of dynamic capabilities to deliver SP in manufacturing firms.

The present research adds to the knowledge and literature on DCV by identifying the importance of CE in the settings of I4.0 and TPM, especially in the context of sustainability. Also, the current study offers a new set of dynamic capabilities and provides some significant future recommendations for researchers and practitioners.

The digital revolution has brought many challenges and opportunities for the manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable manufacturing and circular economy has been under-researched. This paper aims to review the latest articles in the area of Industry 4.0, sustainable manufacturing and circular economy and further developed a research framework showing key paths.

Qualitative research is performed in two stages. In the first stage, a review of the extant literature is performed to identify the barriers, drivers, challenges and opportunities. In the second stage, a research framework is proposed to integrate Industry 4.0 technology (big data analytics powered artificial intelligence) adoption, sustainable manufacturing and circular economy capabilities.

This research extends the knowledge base by providing a detailed review of Industry 4.0, sustainable manufacturing, and circular economy and proposes a research framework by integrating these three contemporary concepts in the context of supply chain management. Through an exploration of this integrative research framework, the authors propose a future research agenda and seven research propositions.

It is important to understand the interplay between institutional pressures, tangible resources and human skills for Industry 4.0 technology (big data analytics powered artificial intelligence) adoption. Industry 4.0 technology (big data analytics powered artificial intelligence) adoption can positively influence sustainable manufacturing and circular economy capabilities. Managers must also put more attention to sustainable manufacturing to develop circular economic capabilities.

Factory workers and the local communities generally suffer from various adverse effects resulting from the traditional manufacturing process. The quality of the environment is deteriorating to such an extent that people even staying miles away from the factory are also affected due to environmental pollution that is generated from factory operations. Hence, sustainable manufacturing is the only choice left to manufacturers that can help in the transition to a circular economy. The research framework can help firms to enhance circular economy capabilities.

This review paper contains the most updated work on Industry 4.0, sustainable manufacturing and circular economy. It also proposes a research framework to integrate these three concepts.

The objective of the present research was to carry out a scientific map about life cycle assessment (LCA) and triple bottom line (TBL) at slaughterhouse areas, looking for Cleaner Production practices aiming at recognizing strategic themes for maintaining the sustainability of productive systems, according to the development of sustainable practices and production evolution in slaughterhouse areas.

The literature analysis was based on general approach, with steps adapted of study phases and activities of preferred reporting items for systematic review and meta-analyses (PRISMA) recommendation guide to do systematic literature review. Activities were subdivided to discuss the results in two kinds of analysis: quantitative and qualitative.

The main findings of our study reinforce the LCA importance in slaughterhouses to promote Cleaner Production, so that the main measures suggested and/or adopted by different authors include the substitution of raw materials by feeding, with the adoption of grains, protein supplements with less environmental impact in the composition of the feed and changes in the processes seeking for better energy efficiency and optimization of water consumption in meat processing.

There is another action of sustainability considering LCA and Cleaner Production practices in the industrial meat area that should also be considered. These actions are restricted to documents of business circulation, with limited access since they involve issues regarding innovations in economic and technological aspects of slaughterhouses, as well as industrial confidentiality. Furthermore, in patent bases it is possible to advance the studies looking for how the digital transformation has been carried out in this industrial branch, since the 4.0 transformation industry tends to use clean technologies.

There are LCA models with a systemic approach to measure the level of sustainability of a process, comprising analysis of impacts related to different areas: environmental, social and economic although in terms of the meat production chain, the impact analysis focuses mainly on the environmental area. So, future works should be developed in meat production chain to assess social and economic impacts, i.e. a sustainable LCA addressing the three areas to consolidate models and standardize metrics with a scientific basis.