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Because of the rapid progress of global value chains (GVCs), it is worthwhile to study their impact on innovation. This study aims to explore the impact of GVC position of high-tech industries in the developing-country context of China on innovation performance; it also aims to explore the moderating effects of industrial agglomeration (specialization agglomeration and diversification agglomeration) on the relationship between GVC position and innovation performance.

The study is based on data gathered on Chinese high-tech industries in 30 provinces from the 2005–2015 period. The econometric analysis relies on merged data from the China Premium Database and the Trade in Value Added 2018 Database.

The regression results show that GVC position of China’s high-tech industries significantly affects their innovation performance, and both specialization agglomeration and diversification agglomeration significantly enhance the positive relationship between GVC position and innovation performance of China’s high-tech industries. After dividing the country into coastal and inland regions, new findings appear.

This study highlights the importance of GVC position and its effect on innovation performance of China’s high-tech industries. It contributes to the literature on the relationship between GVCs and innovation by elaborating on the moderating effects of industrial agglomeration on this relationship.

This study aims to investigate the relationship between entrepreneurship and innovation efficiency (IE), as well as the moderating role of absorptive capacity.

This study uses a sample of industrial enterprises from Chinese provinces from 2005 to 2016, and it tests the research questions using the method of stochastic frontier analysis.

The results of this study indicate that entrepreneurship promotes IE, and that absorptive capacity plays a positive moderating role. In addition, the effect of entrepreneurship on IE differs between the central and eastern regions and the western region.

This research provides direct policy implications by demonstrating the role of entrepreneurship and absorptive capacity in IE, thereby guiding corporate management practices and the formulation of government innovation and entrepreneurship policies.

Although recent studies have increased attention on the effects of related and unrelated variety on innovation, a Chinese test has until now been missing from the literature. This paper aims to investigate how related and unrelated variety affect regional innovation in Chinese provinces. In particular, emphasis was placed on differentiating the analysis for the industry and services sectors at a detailed sectoral level.

This paper’s sample is composed of 30 provinces in China from 2003 to 2016. Feasible generalized least squares was used to estimate the effects of related and unrelated variety on regional innovation.

The results show that related variety in all sectors promotes regional innovation, whereas unrelated variety in all sectors does not play a role. In-depth analyses were performed by comparing the industry and services sectors. Only related variety in the industry sector and unrelated variety in the services sector promote regional innovation, whereas unrelated variety in the industry sector exerts a negative effect. After dividing the country into eastern, central and western regions, different findings appear in the sub-samples.

This study contributes to the literature on evolutionary economic geography and innovation by exploring how related and unrelated variety promote regional innovation in a developing country context (China). It also sheds light on the sectoral and regional differences in the influence of related and unrelated variety on regional innovation.

This paper aims to propose a novel multiple transient modeling scheme for the 12-pulse phase-shifting reactor (PSR) rectifier to enhance the efficiency of full-cycle design evaluation.

The detailed time-domain method is adopted to model the rectifier at the behavioral layer. The diode bridges/transformer model at the architecture layer is established by using the switch function and Park transformation. The frequency domain model at the functional layer is derived with the time-varying Fourier decomposition and frequency-shifting. At the component layer, the magneto-thermal characteristics of the rectifier are analyzed with field-circuit and magnetic-thermal coupling methods. A computer-aided design program integrating multiple modeling is also developed for industrial product design.

The function layer modeling is preferred in the initial design stage, making up for the lack of modeling accuracy at the architectural layer and the lack of modeling rapidity at the behavioral layer. The component modeling is irreplaceable for the detailed evaluation in the latter design stage. The multiple modeling scheme based on the four-layer modeling helps the designers achieve high-quality products with a short development cycle.

The singular transient modeling cannot cover the needs of different stages in the full-cycle design evaluation. This paper fills this gap with a novel multiple modeling scheme. Meanwhile, the proposed multiple modeling scheme and developed computer-aided design program provide a great convenience for full cycle design evaluation of the 12-pulse PSR rectifier.

This study aims to focus on the optimal green R&D of a capital-constrained supply chain under different channel power structures as well as the impact of capital constraint, financing cost, channel power structure and cost-reducing efficiency on green R&D and supply chain profitability.

A two-echelon supply chain is considered. The upstream firm engages in green R&D but has capital constraints that can be overcome by external financing. Green R&D is beneficial to reduce production costs and increase consumer demand. Based on whether or not the upstream firm is capital constrained and dominates the supply chain, four models are developed.

Capital constraints significantly lower green R&D and supply chain profitability. Transferring leadership from the upstream to the downstream firms leads to higher green R&D levels and downstream firm profitability, whereas the upstream firm's profitability is increased (decreased) if green R&D investment efficiency is high (low) enough. Greater financing costs reduce green R&D and downstream firm profitability; however, the upstream firm's profitability under the model in which it functions as the follower increases if the initial capital is sufficient. More importantly, empirical analysis based on practice data is used to verify the theoretical results reported above.

This study reveals how upstream firms in supply chains decide green R&D decisions in situations with capital constraints, providing managers and governments with an understanding of the impact of capital constraint, channel power structure, financing cost and cost-reducing efficiency on supply chain green R&D and profitability.

The major contributions are the exploration of supply chain green R&D by taking into consideration channel power structures and cost-reducing efficiency and the validation of theoretical results using practice data.

This study aims to examine the direct impact of internal green supply chain practices (IGSCP) on green human resource management (GHRM), supply chain environmental cooperation (SCEC) and firm performance (FP). The mediating influences of GHRM and SCEC on the influence of IGSCP on FP are also examined. The study further examines the mediating influence of SCEC on the link between GHRM and FP.

The study uses a quantitative method where data is gathered from human resource and supply chain managers of 139 manufacturing firms (food, beverage and alcohol, textiles, agrochemical and plastics), using customized questionnaires. The data is analyzed using the partial least square structural equation modeling software (SmartPLS 3.2.8).

The results suggest that the adoption of only IGSCP may negatively affect the market and financial performances of firms. However, the implementation of GHRM and SCEC may catalyze IGSCP to improve FP.

The study develops a comprehensive empirical model that tests the joint influence of internal green supply chain, GHRM and SCEC on FP. The findings indicate that IGSCP, GHRM and SCEC help firms to advance FP.

This paper aims to consider both the greenhouse gas (GHG) emissions and behavioural response in the optimal sizing of solar photovoltaic systems (PV modules and batteries) for energy communities. The objective is to achieve a high self-sufficiency rate whilst taking into account the grid carbon intensity and the global warming potential of system components.

Operation and sizing of energy communities leads to optimization problems spanning across multiple timescales. To compute the optimisation in a reasonable time, the authors first apply a simulation periods reduction using a clustering approach, before solving a linear programming problem.

The results show that the minimum GHG emissions is achieved for self-sufficiency rates of 19% in France and 50% in Germany.

The analysis is restricted to specific residential profiles: further work will focus on exploring different types of consumption profiles.

This paper provides relevant self-sufficiency orders of magnitude for energy communities.

This paper combines various approaches in a single use case: environmental considerations, behavioural response as well as multi-year energy system sizing.

The link between corruption and firm performance has received considerable critical attention. However, until now, far too little attention has been paid to different dimensions of corruption and their relationship with firm performance. The aim of this paper is, therefore, to examine the relationship between dimensions of corruption and firm productivity.

This paper uses the fifth wave of Business Environment and Enterprise Performance Survey, which is based on the survey questionnaire with senior managers of 16,566 randomly selected firms across 32 developing countries. Empirical analysis employs structural equation modeling (SEM) and instrumental variable two-stage least square (IV 2SLS) estimation techniques.

Our results revealed that political corruption and red tape have a positive relationship with firm productivity. We also found that perceived extent of bribe and corruption experience are positively related to the firm productivity.

Findings suggest that multifaceted dimensions of corruption exist. Therefore, policymakers should develop anticorruption measures by taking into account these dimensions. In addition, policymakers should focus on improving institutional quality by reforming laws and measures to detect and punish government officials.

So far only few studies have looked at the dimensions of corruption; therefore, this study seeks to examine the effect of different dimensions of corruption together on firm performance in postcommunist countries.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2019-0476

The efficiency of each of an organization’s individual workers determines its effectiveness. The study aims to explore the relationship between human resource management (HRM) practices and organizational effectiveness with employee performance as a mediating variable.

Data were collected from 800 police officers in the Greater Accra and Tema regions. The data were supported by the hypothesized relationship. Construct reliability and validity was established through confirmatory factor analysis. The proposed model and hypotheses were evaluated using structural equation modeling.

The results show that career planning and employee performance were significantly related. Self-managed teams and employee performance were shown to be nonsignificantly related. Similarly, performance management and employee performance were shown to be nonsignificantly related. Employee performance significantly influenced organizational effectiveness. The results further indicate that employee performance mediates the relationship between HRM practices and organizational effectiveness.

The generalizability of the findings will be constrained due to the research’s police service focus and cross-sectional data.

The study’s findings will serve as valuable pointers for the police administration in the adoption, design and implementation of well-articulated and proactive HRM practices to improve the abilities, skills, knowledge and motivation of officer’s to inordinately enhance the effectiveness of the service.

By evidencing empirically that employee performance mediates the relationship between HRM practice and organizational effectiveness, the study extends the literature.

The unstable dynamic propagation of multistage hydrofracturing fractures leads to uneven development of the fracture network and research on the mechanism controlling this phenomenon indicates that the stress shadow effects around the fractures are the main mechanism causing this behaviour. Further studies and simulations of the stress shadow effects are necessary to understand the controlling mechanism and evaluate the fracturing effect.

In the process of stress-dependent unstable dynamic propagation of fractures, there are both continuous stress fields and discontinuous fractures; therefore, in order to study the stress-dependent unstable dynamic propagation of multistage fracture networks, a series of continuum-discontinuum numerical methods and models are reviewed, including the well-developed extended finite element method, displacement discontinuity method, boundary element method and finite element-discrete element method.

The superposition of the surrounding stress field during fracture propagation causes different degrees of stress shadow effects between fractures and the main controlling factors of stress shadow effects are fracture initiation sequence, perforation cluster spacing and well spacing. The perforation cluster spacing varies with the initiation sequence, resulting in different stress shadow effects between fractures; for example, the smaller the perforation cluster spacing and well spacing are, the stronger the stress shadow effects are and the more seriously the fracture propagation inhibition arises. Moreover, as the spacing of perforation clusters and well spacing increases, the stress shadow effects decrease and the fracture propagation follows an almost straight pattern. In addition, the computed results of the dynamic distribution of stress-dependent unstable dynamic propagation of fractures under different stress fields are summarised.

A state-of-art review of stress shadow effects and continuum-discontinuum methods for stress-dependent unstable dynamic propagation of multiple hydraulic fractures are well summarized and analysed. This paper can provide a reference for those engaged in the research of unstable dynamic propagation of multiple hydraulic structures and have a comprehensive grasp of the research in this field.