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Because of the high computational efficiency, response surface method (RSM) has been widely used in structural reliability analysis. However, for a highly nonlinear limit state function (LSF), the approximate accuracy of the failure probability mainly depends on the design point, and the result is that the response surface function composed of initial experimental points rarely fits the LSF exactly. The inaccurate design points usually cause some errors in the traditional RSM. The purpose of this paper is to present a hybrid method combining adaptive moving experimental points strategy and RSM, describing a new response surface using downhill simplex algorithm (DSA-RSM).

In DSA-RSM, the operation mechanism principle of the basic DSA, in which local descending vectors are automatically generated, was studied. Then, the search strategy of the basic DSA was changed and the RSM approximate model was reconstructed by combining the direct search advantage of DSA with the reliability mechanism of response surface analysis.

The computational power of the proposed method is demonstrated by solving four structural reliability problems, including the actual engineering problem of a car collision. Compared to specific structural reliability analysis methods, the approach of modified DSA interpolation response surface for structural reliability has a good convergent capability and computational accuracy.

This paper proposes a new RSM technology based on proxy model to complete the reliability analysis. The originality of this paper is to present an improved RSM that adjusts the position of the experimental points judiciously by using the DSA principle to make the fitted response surface closer to the actual limit state surface.

Meta-model method has been widely used in structural reliability optimization design. The main limitation of this method is that it is difficult to quantify the error caused by the meta-model approximation, which leads to the inaccuracy of the optimization results of the reliability evaluation. Taking the local high efficiency of the proxy model, this paper aims to propose a local effective constrained response surface method (LEC-RSM) based on a meta-model.

The operating mechanisms of LEC-RSM is to calculate the index of the local relative importance based on numerical theory and capture the most effective area in the entire design space, as well as selecting important analysis domains for sample changes. To improve the efficiency of the algorithm, the constrained efficient set algorithm (ESA) is introduced, in which the sample point validity is identified based on the reliability information obtained in the previous cycle and then the boundary sampling points that violate the constraint conditions are ignored or eliminated.

The computational power of the proposed method is demonstrated by solving two mathematical problems and the actual engineering optimization problem of a car collision. LEC-RSM makes it easier to achieve the optimal performance, less feature evaluation and fewer algorithm iterations.

This paper proposes a new RSM technology based on proxy model to complete the reliability design. The originality of this paper is to increase the sampling points by identifying the local importance of the analysis domain and introduce the constrained ESA to improve the efficiency of the algorithm.

The purpose of this study is to identify the factors determining collaborative innovation effect of manufacturing firms in emerging economies.

Based on a survey of 1,206 Chinese manufacturing firms and using structural equation modelling, this study explores the factors determining the effect of collaborative innovation among manufacturing firms (namely, internal capabilities, government policies, collaboration mechanisms and social networks) and examines the relationship between collaborative innovation effect and innovation performance.

The study finds that there are significantly positive relationships between firms’ internal capabilities, government policies, collaboration mechanisms and social networks and collaborative innovation effect among firms.

These findings reveal that policymakers should create an effective institutional culture and market environment to facilitate firms’ collaborative innovation.

This paper draws on the resource-based view of firms and contributes to understanding of how the development of factors determining firms’ collaborative innovation effect can improve innovation performance. This study extends established frameworks on collaborative innovation in relation to four dimensions, namely, firms’ internal capabilities, government policies, collaboration mechanisms and social networks, uniquely identifying the limits of specific dimensions. Moreover, this study addresses government policies and “Guanxi culture” specific to China that provide new insights into how firms’ collaborative innovation is improved from the perspectives of business–governmental relations and social networks.

Open innovation enables firms to incorporate external expertise and resources into their innovations. However, it is far from easy to obtain sufficient support from external contributors due to potential concerns about the risks of opportunism and appropriation. This paper aims to investigate whether firms’ engagement in corporate social responsibility (CSR) contributes to their open innovation, considering the contingency factors of technological capability, environmental dynamism and state ownership based on capability and motivation perspectives.

Using a sample of Chinese listed firms covering the period from 2009 to 2018, instrumental variable and propensity score matching approaches were used to address the endogenous problems.

This paper obtains empirical results showing that firms engaged in higher levels of CSR produce more joint outputs (co-owned patents) and that this effect is strengthened by technological capability and environmental dynamism. Among state-owned enterprises, CSR engagement is less impactful with regard to open innovation. It is further shown that open innovation is a primary channel through which CSR engagement enhances innovative efficiency.

This study enriches the knowledge of the antecedents of open innovation and contributes to the debate regarding the relationship between CSR and innovation by establishing a relationship between CSR and open innovation, whereas most prior studies focus on how the input and output of innovation are affected by CSR initiatives.

This study aims to investigate the antecedents of corporate social responsibility (CSR) from the perspective of competitive dynamics and proposes a correlation of CSR between competing firms because rival firms’ engagement in CSR induces the focal firm’s catch-up to keep pace with them.

Using a sample of Chinese listed companies through the lens of firm dyads, and drawing on the awareness-motivation-capability (AMC) framework, a set of contingencies of firms’ competitive catch-up in CSR are examined, including the visibility of its competitors, the interdependence between the focal firm and its competitors and the focal firm’s resource slack.

The empirical results reveal that a focal firm’s CSR is in a positive relationship with that of its competitors, which is strengthened by the visibility of its competitors, the interdependence between the focal firm and its competitors, and is affected by the focal firm’s resource slack.

These findings uncover the interplay of CSR among competitors, enriching our understanding of its antecedents by extending the AMC framework to the CSR context.

Protecting the planet from unprecedented environmental crises in the presence of economic expansion has become a critical global concern. Hence, the current study aims to analyze the impact of nations’ green behaviors that they adopt to protect the planet while promoting economic expansion. Additionally, the study explores the moderating role of ES in the nexus of GI and green growth.

Data were collected over a period of 1990–2019. Analysis was conducted by employing panel data analysis techniques and various robustness tests, including multicollinearity, serial correlation and spatial correlation, for a sample of 33 nations by categorizing in Organization for Economic Co-operation and Development (OECD) and Brazil, Russia, India, China, and South Africa (BRICS) economies as well as in the pre- and post-financial crisis period.

Analysis of the composite sample reveals a significant positive impact of green investments and green innovations on green growth. Further analysis reveals a significant moderating role of environmental policy stringency in OECD economies, especially in the pre-financial crisis period. The interaction slope shows that the contribution of green innovations to green growth is positive at high and medium levels of ES. However, in the case of BRICS economies, this moderating role is insignificant.

Study findings signify the importance of stakeholder environment and urge governments to prioritize funds for sectors practicing environmentally friendly behaviors to foster green growth and stresses for more effective infrastructure of policy implementation, monitoring and evaluation.

The relationship of green investments, innovations and green growth has been established largely in existing literature; however, there is a dearth of studies to analyze the moderating role of ES. Hence the current study investigates this moderating role in the nexus of nations’ green behavior and green growth in different stakeholder environments and contexts.

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly, to develop global supply chain strategies, and to make innovations in products and business processes to become indispensable. This study discusses the effect of green supply chain integration (GSCI) and environmental uncertainty on performance through the moderation of green innovation. Structural equation modeling and maximum likelihood estimation were used to analyze a sample of 130 SMEs in East Java, Indonesia. The result shows that GSCI and environmental uncertainty significantly affect performance, and green innovation significantly moderates the effect. This research found that SME’s performance is influenced by GSCI concept and green innovation application as well as SME’s understanding about recent and future environmental uncertainties; this fits the market demand.

Threats from the informal sector have become an important concern among formal firms. As a response to these threats, formal firms can adopt product innovation (PI) and marketing innovation (MI) strategies to differentiate themselves. The purpose of this paper is to examine how firm-level technical capability and external institutional quality affect firms’ reactions to the threats from informal firms by adopting innovative activities.

Based on attention-based view (ABV), an empirical study is conducted by using firm-level data from the World Bank Enterprise Survey in 2013.

The findings indicate that when faced with competition from informal firms, formal firms will intensify their innovation activities in both MI and PI, and their technical capability mitigates the competitive threats from informal sectors and thus weakens the impact of informal competitors on the level of product and marketing innovations. Moreover, it is found that the improvement of institutional quality reduces formal firms’ urgency to introduce new products when facing informal competitors. However, this improvement strengthens the impact of informal rivalry on formal firms’ innovation in marketing methods.

Previous studies that investigate the influence of informal threats are focused on technological innovation (e.g., PI and process innovation) strategies, but little knowledge is provided on non-technological innovative strategies, such as marketing strategies (e.g., MI and organizational innovation). This study contributes to the innovation literature by delving into the circumstances under which PI and/or MI is adopted to counter informal rivals. The findings enrich ABV by investigating how inter-firm resource similarity and marketing commonality strengthen top managers' attention to competition from informal firms.

The purpose of this study is to examine the impact of green bonds on common prosperity in China. Green bonds have gained significant attention as a means to address financial challenges and promote environmental protection. This research aims to investigate the influence of green bonds on common prosperity by utilizing the system-generalized method of moments (SYS-GMM) and analyzing panel data from prefecture-level cities. The study also explores the theoretical mechanisms and heterogeneous relationships between green bonds and common prosperity, providing valuable guidance for advancing economic and social well-being in China.

This study employs a system-generalized method of moments (SYS-GMM) as the methodology to investigate the influence of green bonds on common prosperity in China. Panel data from prefecture-level cities for the period 2014 to 2020 are utilized for analysis. The SYS-GMM approach allows for the examination of dynamic relationships and control of endogeneity issues. By utilizing this methodology, the study aims to provide robust and reliable findings on the impact of green bonds on common prosperity, considering the specific context of China's ecological civilization development and financial challenges faced by energy-saving and environmental protection enterprises.

The findings of this research indicate several important outcomes. Firstly, common prosperity in China experienced substantial growth between 2014 and 2020. Secondly, green bonds have demonstrated a clear and positive impact on common prosperity. They contribute to the enhancement of common prosperity by driving industrial structure upgrading and fostering green technology innovation. Lastly, the study reveals that the positive influence of green bonds on common prosperity is particularly pronounced in the western region of China. These findings highlight the significance of green bonds in promoting sustainable economic development and societal well-being.

This study contributes to the existing literature by examining the impact of green bonds on common prosperity in China, utilizing the system-generalized method of moments (SYS-GMM) and panel data analysis. The research not only adds to the understanding of the relationship between green bonds and economic well-being but also provides insights into the theoretical mechanisms and heterogeneous relationships involved. The findings showcase the positive influence of green bonds on common prosperity, emphasizing their role in addressing financial challenges, promoting environmental protection, and driving sustainable development. The study's conclusions offer valuable guidance for policymakers, financial institutions, and stakeholders in advancing common prosperity in China.

Prior research on green innovation has shown that institutional pressure stimulates enterprises to adopt green innovation. However, an institutional perspective does not explain why firms that face the same amount of institutional pressure execute different environmental practices and innovations. To address this research gap, the authors linked institutional theory with upper echelons theory and organization performance to build a comprehensive research model.

A total of 800 questionnaires were issued. The final usable questionnaires were 195, yielding a response rate of 24.38%. AMOS 23.0 was used to analyze the data and examine the relationships between the constructs in our model.

Institutional pressures affected both green innovation adoption (GIA) and the top management team's (TMT's) response. TMT's response influenced GIA. GIA was an important factor affecting firm performance. Furthermore, TMT's response mediated the relationship between institutional pressure and GIA. Institutional pressures indirectly affected green innovation performance but did not influence economic performance through GIA. Finally, TMT's response indirectly impacted firm performance through GIA.

The authors draw on institutional theory, upper echelons theory, and a performance-oriented perspective to explore the antecedents and consequences of GIA. This study has interesting implications for leaders and managers looking to implement green innovation and leverage it for firm performance to out compete with market rivals as well as to make the changes in collaboration with many other companies including market rivals to gain success in green innovation.