Badania nad poprawą wyników małych i mikroprzedsiębiorstw poprzez stosowanie zielonych innowacji

It is an important goal of China’s 2025 Strategy to build an environmental governance system with the government as the leading role, enterprises as the main body, and social organizations and the public all participate actively. In this context, whether and how small and micro enterprises, as a force of rejuvenating the country through science and technology, participate in the construction of environmental governance system is discussed in this paper. This study uses the 12th China small and micro enterprise survey database to deeply analyze the direct and indirect effects between green innovation and small and micro enterprise performance, and finds that: in the direct effect analysis, the direct promotion effect of green innovation on the financial performance of small and micro enterprises is related to the development stage of small and micro enterprises, which is significant in the initial stage and mature stage, but not significant in the growth stage; in the indirect effect analysis, green innovation can indirectly improve the overall performance of small and micro enterprises by improving their environmental and social responsibility performance. At the same time, green innovation can amplify the role of other factors in promoting the overall performance. This study not only enriches the research scope of green innovation theory from the subdivision dimension, provides a new perspective for the integration of green innovation and social responsibility theory, it also provides theoretical reference and guidance for the green innovation practice of small and micro enterprises.Ważnym celem chińskiej Strategii 2025 jest zbudowanie systemu zarządzania środowiskowego, z rządem odgrywającym wiodącą rolę, przedsiębiorstwami jako głównym organem  i aktywnie uczestniczącymi organizacjami społecznymi i społeczeństwem. W niniejszym artykule omówiono, czy i w jaki sposób małe i mikroprzedsiębiorstwa, uczestniczą w budowie systemu zarządzania środowiskiem. W badaniu wykorzystano 12. bazę danych ankietowych małych i mikroprzedsiębiorstw w Chinach, aby dogłębnie przeanalizować bezpośrednie i pośrednie zależności między zielonymi innowacjami a wynikami małych i mikroprzedsiębiorstw. Stwierdzono, że: w analizie skutków bezpośrednich bezpośredni wpływ promocji zielonych innowacji na finanse wyniki małych i mikroprzedsiębiorstw jest związany z fazą rozwoju małych i mikroprzedsiębiorstw, jest ona istotna w fazie początkowej i dojrzałej, ale nieistotna w fazie wzrostu; w analizie skutków pośrednich zielone innowacje mogą pośrednio poprawić ogólne wyniki małych i mikroprzedsiębiorstw poprzez poprawę ich wyników w zakresie odpowiedzialności środowiskowej i społecznej. Jednocześnie ekologiczne innowacje mogą wzmocnić rolę innych czynników w promowaniu ogólnej wydajności. Niniejszy artykuł nie tylko wzbogaca zakres badawczy teorii zielonych innowacji z wymiaru podpodziałowego, zapewnia nową perspektywę integracji zielonych innowacji i teorii odpowiedzialności społecznej, ale także dostarcza teoretycznego odniesienia i wskazówek dla praktyki zielonych innowacji małych i mikroprzedsiębiorstw

Badanie wskaźnika zielonej konkurencyjności przemysłu wytwórczego w aglomeracji miejskiej delty rzeki Jangcy

From the perspective of the complex multi-factors that affect manufacturing green competitiveness, this study constructs a green competitiveness index measurement indicator system of manufacturing industry in Yangtze River Delta Urban Agglomeration, which includes five dimensions: economic creativity, technological innovation, energy and environmental protection, industrial structure optimization, and social service capabilities. The manufacturing green competitiveness index in Yangtze River Delta Urban Agglomeration in 2014-2018 is measured and analyzed by using the comprehensive evaluation model of gray correlation projection method based on the combined weights of FAHP and maximum deviation. The results show that manufacturing green competitiveness of Yangtze River Delta Urban Agglomeration generally shows a relatively stable and continuous improvement trend, but the regional differences are large: regional cities and general node cities have significantly lower manufacturing green competitiveness than the leading cities and hub cities, and the pace of industrial structure transformation and upgrading in the whole region also needs to be accelerated. Based on these results, this paper puts forward some policy recommendations for comprehensive development of Yangtze River Delta Urban Agglomeration manufacturing industry: focus on improving the effective guidance of the positive incentive effect of technological innovation on manufacturing green competitiveness level, and solving the problem of insufficient technological innovation achievement transformation benefits; replan regional space, strengthen the integration of all industrial resources, reducing homogeneous competition; strengthen the ecological co-construction of regional manufacturing and improve social service security level.Z perspektywy złożonych czynników, które wpływają na konkurencyjność ekologiczną produkcji, w niniejszym artykule opracowano system pomiaru wskaźnika konkurencyjności ekologicznej dla przemysłu wytwórczego w aglomeracji miejskiej w delcie rzeki Jangcy. Obejmuje on pięć wymiarów: kreatywność ekonomiczną, innowacje technologiczne, energię i ochronę środowiska, optymalizację struktury przemysłowej i zakres usług społecznych. Wskaźnik konkurencyjności ekologicznej produkcji w aglomeracji miejskiej delty rzeki Jangcy w latach 2014-2018 jest mierzony i analizowany za pomocą kompleksowego modelu oceny metodą projekcji szarej korelacji opartej na połączonych wagach FAHP i maksymalnym odchyleniu. Wyniki pokazują, że konkurencyjność produkcji ekologicznej w aglomeracji miejskiej delty rzeki Jangcy na ogół wykazuje względnie stabilną i ciągłą tendencję do poprawy, ale różnice regionalne są duże: miasta regionalne i główne miasta węzłowe mają znacznie niższą konkurencyjność ekologiczną w zakresie produkcji niż miasta wiodące i miasta centralne, a tempo transformacji i modernizacji struktury przemysłowej w całym regionie również wymaga przyspieszenia. W oparciu o te wyniki, w niniejszym artykule przedstawiono pewne zalecenia polityczne dotyczące wszechstronnego rozwoju przemysłu wytwórczego w aglomeracji miejskiej delty rzeki Jangcy: skupiono się na sformułowaniu skutecznych wskazówek dotyczących pozytywnego efektu zachęty ze strony innowacji technologicznych na poziom konkurencyjności produkcji ekologicznej oraz na rozwiązaniu problemu niewystarczającej korzyści z transformacji osiągnięć innowacji technologicznych; należy przebudować przestrzeń regionalną, wzmocnić integrację wszystkich zasobów przemysłowych, zmniejszając jednorodną konkurencję; wzmocnić ekologiczne współtworzenie regionalnej produkcji i poprawić poziom zabezpieczenia społecznego

Industrialisation, ecologicalisation and digitalisation (IED): building a theoretical framework for sustainable development

Purpose In the past two decades, manufacturing has witnessed significant transformations alongside ecological challenges. Meanwhile, industrial 4.0 digital technologies have accelerated industrialisation with potentials of innovation in the context of circular economy. However, current concepts and models are fragmented and impractical. This paper aims to develop a holistic view integrating the three bodies of knowledge – industrialisation, ecologicalisation and digitalisation (IED) – in order to achieve sustainable development. Design/methodology/approach Critical literature review is conducted across three bodies of knowledge. Key themes are summarised with the identification of research gaps. A theoretical framework is synthesised and developed aiming to achieve synergy from IED with the modules, integration architecture, mechanism and dynamic paths. Findings First, the authors review and develop three conceptual models of ecologicalised industrialisation (IE3), industrial system digitalisation (D1) and digital technology industrialisation (D2) separately. Second, the authors propose a theoretical framework seeking to synthesise the above three conceptual models together to form the IED. Third, the authors design a process orientated abductive approach to improve and validate the IED framework. Originality/value This study contributes to the limited literature addressing the linkage of IED by integration different perspectives to develop theory in a novel way. Practically, it provides important tools for organisations to consider resource cascading in combination with digitalisation during the industrial system design

Effect of Pu-erh tea pomace on the composition and diversity of cecum microflora in Chahua chicken No. 2

Pu-erh tea pomace (PTP), a solid substance after extracting functional substances or steeping tea, is rich in crude protein, and crude fiber, and could be used as considerable bioactive substances in animal production. However, its application as poultry feed and its role in regulating the characteristics of gut microorganisms is unclear. The present study investigated the effects of PTP on growth performance and gut microbes of chicken. A total of 144 Chahua chickens No. 2 were individually housed and divided into three groups which were fed diets containing 0% (CK), 1% PTP (T1), and 2% PTP (T2), respectively. The serum and cecum contents were collected after slaughter for analysis. The results indicated that growth performance and carcass traits were not affected by the PTP content. Serum total triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) levels in the T1 and T2 groups were significantly lower than in the CK group (p < 0.05). The gut microbiota α-diversity in the T2 group was significantly lower than in the CK group (p < 0.05). Based on partial least squares-discriminant analysis (PLS-DA), we observed significant segregation in gut bacterial communities among the groups. At the phylum level, Bacteroidetes and Firmicutes were dominant in the cecum, occupying about 85% of the cecum flora. The relative abundance of Bacteroidetes tended to increase. At the genus level, the relative abundance of Bacteroides is the highest in the CK、T1 and T2 groups. The relative abundances of Bacteroides and Prevotellaceae_UCG-001 microorganisms in the T2 group were significantly higher than in the CK group (p < 0.05). However, the relative abundance of CHKCI001 microorganisms in the T2 group was significantly lower compared to the CK group (p < 0.05). TG content was significantly positively correlated with CHKCI001 relative abundance, and significantly negatively correlated with Prevotellaceae_UCG-001 relative abundance (p < 0.05). Moreover, the LDL-C content was significantly positively correlated with CHKCI001 relative abundance (p < 0.05). In conclusion, PTP could decrease the cholesterol levels in the blood by improving the composition of gut microbiota, which provides a reference for the application of PTP in the poultry industry

An online variational inference and ensemble based multi-label classifier for data streams.

Recently, multi-label classification algorithms have been increasingly required by a diversity of applications, such as text categorization, web, and social media mining. In particular, these applications often have streams of data coming continuously, and require learning and predicting done on-the-fly. In this paper, we introduce a scalable online variational inference based ensemble method for classifying multi-label data, where random projections are used to create the ensemble system. As a second-order generative method, the proposed classifier can effectively exploit the underlying structure of the data during learning. Experiments on several real-world datasets demonstrate the superior performance of our new method over several well-known methods in the literature

Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors

With fast development and application, the Internet of Things (IoT) brings more opportunities to business. This research aims to investigate how IoT could lead to a co-evolving business ecosystem rather than a supply chain. It develops the 6C framework to analyze the data collected from case companies, and identifies three patterns of IoT-based business ecosystem. It also provides a summary of practical implications to guide practitioners building an IoT-based business ecosystem

A protocol of Chinese expert consensuses for the management of health risk in the general public

IntroductionNon-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a series of guidelines for the management of NCDs have been published in China, these guidelines mainly focus on clinical practice targeting clinicians rather than the general population, and the evidence for NCD prevention based on modifiable lifestyle factors has been disorganized. Therefore, comprehensive and evidence-based guidance for the risk management of major NCDs for the general Chinese population is urgently needed. To achieve this overarching aim, we plan to develop a series of expert consensuses covering 15 major NCDs on health risk management for the general Chinese population. The objectives of these consensuses are (1) to identify and recommend suitable risk assessment methods for the Chinese population; and (2) to make recommendations for the prevention of major NCDs by integrating the current best evidence and experts’ opinions.Methods and analysisFor each expert consensus, we will establish a consensus working group comprising 40–50 members. Consensus questions will be formulated by integrating literature reviews, expert opinions, and an online survey. Systematic reviews will be considered as the primary evidence sources. We will conduct new systematic reviews if there are no eligible systematic reviews, the methodological quality is low, or the existing systematic reviews have been published for more than 3 years. We will evaluate the quality of evidence and make recommendations according to the GRADE approach. The consensuses will be reported according to the Reporting Items for Practice Guidelines in Healthcare (RIGHT)