This paper discusses the transmission mechanism and effects that trade liberalization influences energy intensity through energy‐saving technological change (ESTC). We construct panel data from manufacturing industries in China over the period of 1994–2017, thereby conducting empirical tests through mediation models and discontinuity regression models. The results find that trade liberalization significantly promotes the lowering of energy intensity through ESTC. Heterogeneity test results show that the trade liberalization effect is higher in industries with low barriers to entry and industries with high pollution. Fuzzy regression discontinuity (FRD) results show that energy intensity decreasing as China's accession to the World Trade Organization (WTO). (JEL F10, F18, L60, Q43)
Constituting the link between supply and demand, retailers can play an important role in a supply chain's green operations and logistics activities, which are one of the key contemporary concerns of governments and the general public. China, as a huge, fast-developing and opening marketplace has been attractive to British and other international retailers. However, the competition facing these retailers in the Chinese marketplace is intensifying. Research shows that British retailers began greening their business operations earlier than Chinese businesses that are still at an early stage. British retailers thus have an early-mover advantage with green operations as a characteristic competitive strength. The comparative study presented in this paper on the current green status/approaches of both Chinese and British retailers will be valuable to managers who are developing green strategies to enhance their competitiveness in the Chinese retail sector; the paper also enriches green theories in relation to this particular marketplace.
Purpose – The purpose of this paper is to introduce a research exploring the important strategic elements and their prioritisation for e-retailers' home delivery logistics process efficacy improvement.
Design/methodology/approach – The research was completed through focus group, survey and importance-performance analysis.
Findings – The research identified, confirmed and prioritised a set of explicitly important strategic elements currently deemed important by e-retailers for ensuring the efficacy of their home delivery logistics process in Chinese marketplace, and also referential to the other similar emerging marketplaces.
Research limitations/implications – The research contributes positively to the enrichment of the theoretical knowledge pool of e-retailers' logistics performance improvement.
Practical implications – The research findings guide/inform the strategy development and implementation for e-retailers entering and/or operating in Chinese marketplace. And the findings can also be referential to the e-retail strategy development for entering and operating in other emerging markets similar to China's. This point is particularly meaningful for those e-retailers that want to expand the outreaching and increase the popularity of their businesses in the global marketplace.
Originality/value – Corresponding to the much needed further research on e-retailing home delivery performance improvement, the research provides findings that add substantial new insights into the field, with a particular focus on China, as one of the emerging developing marketplaces.
PurposeA successful supply chain should ensure that all participating members benefit from the marketplace. To achieve this goal, the supply chain members need to improve their competences all the time, which requires a continuous learning process. Thus, mutual learning, through knowledge sharing between the different members, is a necessary approach to increase the competence of supply chain partners. To realise efficient and effective knowledge sharing in a supply chain, this paper aims to explore and formulate a model that supports an enterprise with its management of the supply chain members' knowledge resource sharing (herein referred to as "advanced practice" and includes two levels of knowledge – strategic and operational). The model is based on the theories of supply chain management (SCM) and case‐based reasoning (CBR).Design/methodology/approachThis research follows a conductive and inductive cycle. Firstly, based on the learning expounded through an extensive literature survey regarding SCM and CBR, as well as available empirical applications, the conceptual model is designed. Then the primary stage evaluation will be discussed regarding the feasibility and refinement of the model towards its maturity.FindingsTo share knowledge along the supply chain is theoretically sound, but a difficult task to realise in practice, due to the complexity of knowledge sharing between the different organizations.Research limitations/implicationsThis research explores one of the important topics in SCM – knowledge sharing within a supply chain, and the model also extends and explores a new tool for this knowledge‐sharing process by applying CBR methodology.Practical implicationsThe designed model in this research will provide a practice‐oriented vehicle allowing the supply chain members to share and apply their knowledge.Originality/valueThis research applies CBR in the domain of SCM, it both enriches the available approaches to supply chain performance enhancement and enlarges the application domains of CBR methodology.
