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The spatial resolution of seepage monitoring methods based on fiber Bragg grating (FBG) temperature sensing technology is limited by the distance between measurement points. Improving the spatial resolution for a given number of measurement points is a prerequisite for popularizing this technology in the seepage monitoring of rockfill dams. The purpose of this paper is to address this problem.

This paper proposes a mobile-distributed seepage monitoring method based on the FBG-hydrothermal cycling seepage monitoring system. In this method, the positions of the measurement points are changed by freely dragging the FBG sensing cluster within the inner tube of a dual-tube structure, consisting of an inner polytetrafluoroethylene tube and outer polyethylene of raised temperature resistance heating tube.

A seepage velocity calibration test was carried out using the improved monitoring system. The results showed that under a constant seepage velocity, the use of the dual-tube structure enables faster cooling, and the cooling rate accelerates with an increase in the diameter of the inner tube. The use of the dual-tube structure can improve the sensitivity of the seepage evaluation index ζ_v to the seepage velocity. When the inner diameter increases, ζ_v becomes more sensitive to the seepage velocity.

A mobile-distributed seepage monitoring method based on FBG sensing technology is proposed in which the FBG sensors are not fixed. Instead, the positions of the measurement points are changed to improve the spatial resolution. Meanwhile, the use of the dual-tube structure in the presented monitoring system can improve its sensitivity.

This is a special issue of Chinese Management Studies and this study aims to engage with debates on innovation in China and to provide new insights for innovation research in the context of China, seeking to develop a greater understanding of the concept of “innovation with Chinese characteristics”.

This study reviews the Chinese innovation management literature in general and the selected papers in this special issue in particular and proposes two new directions for future research.

The nine papers that constitute this special issue present research on important aspects of innovation in China, ranging from the effectiveness of government subsidisation for innovation, the impact of fiscal decentralisation on innovation, the role of management behaviour in promoting (or discouraging) innovation and the effects of differing business models on innovation. These papers shed valuable new light on the theory and practice of innovation in China. The papers are discussed in the context of four primary arguments about innovation management in China identified from the broader literature in the field. These relate to the pattern of China’s innovation performance over time, the reasons for its effectiveness, the role of alliances and influences of indigenous factors. It is also shown that management of the internationalisation of innovation and of efficient internal innovation are two important directions for future research on Chinese innovation in an era of de-globalisation.

The studies presented here provide valuable contributions to theory building in innovation research, as well as some important ideas for directions of future research on innovation in China in the new era of de-globalisation.

The purpose of this paper is to examine whether foreign direct investment (FDI) inflow impacts on regional innovation efficiency in China and whether the impacts of FDI are contingent on regional conditions that may maximize the effect of FDI on regional innovation efficiency.

Using panel data of 30 provinces from 2000 to 2010, the authors first used data envelopment analysis to measure regional innovation efficiency, followed by a spatial panel model to test research hypotheses concerning the effect of FDI on regional innovation efficiency and the direct and moderating effects of regional characteristics such as regional innovation environment, regional absorptive capacity and regional complementary assets.

The paper finds that there are considerable inter-regional and intra-regional variations in innovation efficiency in China and that regional variations in innovation efficiency in China can first be explained by the differences in inflow FDI and then be accounted for by the direct and moderating effect of regional innovation environment, absorptive capacity and complementary assets.

The research findings have three policy implications. First, governments should continue their efforts to increase the transparency and predictability of the framework for inward FDI and align FDI with the region’s strategic priorities of development to improve innovation efficiency. Second, governments should develop holistic and coherent policies that address the key aspects of regional conditions conducive to the inflow of FDI. Third, governments at the regional level should cultivate an open innovation environment and support the development of financial markets to maximize the positive effect of FDI technology spillover and externalities.

This paper fills a gap in research on the spatial heterogeneity characteristics of spillover effects of FDI on regional innovation efficiency.

The purpose of this paper is to review the evolution of policies and practices of innovation in China for the past 40 years.

This is a review paper. It adopts a different multi-dimensional, qualitative methodology to examine China’s trajectory of innovation from the economic reform since 1978, highlighting “China” experiences in the developing innovation-driven economy, also pointing the challenges that China faces in this transition process and future prospects. The analysis of China’s innovation performance was based mostly on secondary data from sources and institutions that use statistical data to build country rankings, such as the global innovation index and global competitiveness index.

It is found that the institutional foundations of the national innovation system in China are already being laid, and so far, China has made extraordinary progress regarding innovation performance from country to region and from business to individual. However, some critical challenges in its innovation-driven development still need urgent attention and effective efforts to reinforce them.

This paper aims to fill the gap in the literature by providing an overview of the evolution of the policies and practices of innovation development in China since the 1978 economic reforms and explores the Chinese experiences in transforming into an innovation-driven economy.

This study provides empirical support for the cultural economics model between executive team and firm performance and offers important implications for policy selection and appointment of managers in China.

From the perspective of relationship embeddedness, the authors explore the impact of management geographical proximity (GP) on stock price crash risk in China. Using archival data from China's unique dataset about birthplace culture, the authors find that management GP experiences a large increase in corporate stock price crash risk for the period 2009–2018.

The impact of management GP on stock price crash risk is more pronounced when the company is located in areas with weaker formal legal environment and stronger Confucian culture. Furthermore, the impact has a significant links with firm characteristics such as information transparency, over-investment and tax aggressiveness.

First, the research extends the literature on the empirical determinants of stock price crash risk. These studies focus on formal institution, not on informal institution, such as relational culture. Second, the research provides evidence for economic consequences on relational governance from executive birthplace culture to explore the economic consequences of geographical relational governance but takes stock price crash risk to present executives' behavior strategies and market reaction via exploring asymmetrical variation of market stock price. Finally, the paper provides reference to corporate governance arrangement and executive appointment.

The purpose is to explore the essential reasons for the differences between book awakening phenomena, to develop the critical factors in awakening the slumbering collections and to provide a reliable basis for maximizing book value and optimizing collection allocation.

The research employs the integrated learning algorithm XGBoost to measure driving factors. In the process of book circulation, the characteristics of collections and readers are worthy of attention. Therefore, this study also carries out feature selection and model construction from the two dimensions of books and readers.

The results show that reader features have a stronger impetus for the collection awakening phenomenon than collection features. Among reader features, education level, gender and major subject are the main factors, which are followed closely by the activity level; among collection features, publication date and price are the main driving factors. The indicators of book popularity are not significant, whose effect on the phenomenon of collection awakening is almost negligible.

This study aims to augment the theory of zero circulation from the theoretical level and, for the first time, seeks to define the phenomenon of collection awakening. This study attempts to present novel ideas for research in the field of libraries and to provide references for optimizing collection and maximizing the value of books.

With the rapid increase in the consumption of electrical and electronic innovations, responsible management and recycling of electronic waste (e-waste) or waste electrical and electronic equipment (WEEE) has been a significant concern for the governments, stakeholders, researchers and industry practitioners around the world. Consumer awareness, disposal behaviour and perception are chief facets of designing sustainable management strategies. Although researchers have widely studied e-waste over many years, the research focusing on consumer awareness about e-waste recycling has gained momentum recently. This paper aims to systematise the existing literature and explore future research prospects on household e-waste sorting behaviour.

Web of science (WoS) core collection was searched using selected keywords to identify relevant articles published from 2001 to 2021. The search resulted in 1,156 research articles published from 2001 to 2021. After a detailed study, 85 articles were shortlisted for in-depth review. The review was conducted based on global trends, top journals, most prolific authors, most active e-waste research countries, and institutions centring on consumer participation in e-waste disposal and recycling behaviour. The present research has also identified around eleven factors that seem to have a bearing on consumer behaviour towards storage, disposal and recycling of e-waste.

E-waste research has gained increased attention in the last five years. The majority of the studies has focused on motivational factors and ignore the risks associated with handling e-waste. The present study reports the pertinent issue of lack of awareness among the masses about e-waste handling and disposal. Thus, bringing to the fore the lack of awareness programmes and initiatives. The analysis presents the gaps in the literature and future research agendas.

The review article will help in providing an in-depth understanding of consumer behaviour towards storage, disposal and recycling of e-waste and delineates the future direction of research that may be undertaken in this field of study.