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The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

By establishing a rural household decision-making model based on the transfer market of farmland operation rights, this paper systematically analyzes the effects of land transfer-in and land transfer-out on the productivity (per labor income) of rural households. The authors conducted basic regression analysis and robustness tests using propensity score-matching and proxy variable approaches based on the micro survey data from rural households in 30 counties in 21 provinces/municipalities/autonomous regions in 2013.

After the completion of land transfer, the total productivity of rural households transferring in lands will increase with an increase in the agricultural productivity; the total productivity of rural households transferring out land will increase due to a rise in non-agricultural productivity and the absolute total productivity of rural households not involved in land transfer will remain unchanged.

Unlike previous literature, this paper discusses the impacts of land transfer-in and transfer-out on total productivity, agricultural productivity and non-agricultural productivity among various rural households (i.e. those transferring in land, transferring out land or which are self-sufficient).

This paper aims to develop a reliable and valid scale for measuring the underlying knowledge involved in work. To do so, it builds on the knowledge-in-practice (KIP) framework that suggests different types of work have different underlying knowledge characteristics. This allows us to answer two important questions: What are the underlying characteristics of KIP that are important to effectively manage a firm’s knowledge resources? How do we measure these characteristics? The answers help to build theoretical and empirical understanding of the construct of KIP.

The study uses a discovery-oriented survey design methodology to design the survey instrument, followed by a mixed-methods approach to validate the scale.

A new scale is developed for measuring the tacitness and learnability of the knowledge involved in work. It allows work units to be evaluated based on the underlying knowledge involved in different types of work.

The KIP scale can be used for measuring the type of knowledge characteristics in organizations. Academics can use this study as a basic model to explore knowledge across different contexts and focus on the different characteristics within and across work contexts.

The study provides a clearer and more granular understanding of knowledge in organizations that can be used as a guideline to refer to when measuring and assessing knowledge requirements.

Scholars have pushed to understand work from a knowledge and collaboration perspective. A measurement scale for the KIP framework provides a critical first step towards this outcome.

To cope with climate change and achieve the dual carbon goal, China has actively promoted the implementation of carbon trading pilot policy, among which the power industry plays an important role in China’s carbon emission reduction work. The purpose of this paper is to study the influence of carbon trading policy on the energy efficiency of power industry and achieve the comprehensive goal of carbon emission reduction, carbon peak and carbon neutralization.

This paper constructs the difference-in-differences model based on 2012–2019 provincial data to study the impact of carbon trading policy on energy efficiency in the power industry and its effect path. Heterogeneity analysis was conducted to compare the effects of carbon trading policy in eastern, central and western regions as well as at different levels of power structures.

Carbon trading policy can significantly improve the energy efficiency of the power industry, and the policy effect is more significant in eastern and western regions and areas with high power structure. Mechanism analysis shows that carbon trading policy mainly influences the energy efficiency of power industry by environmental protection investment, power consumption demand and industrial structure.

This paper uses provincial panel data to deeply study the influence of carbon trading policy on energy efficiency of the power industry and its effect path. By constructing the difference-in-differences model, this paper empirically analyzes the governance effect of carbon trading policy. Meanwhile, it controls individual and time effects to solve the endogeneity problem prevalent in previous literature.

This paper aims to study the impact of the interactive effect of knowledge characteristics – tacitness, specificity and availability – and resource structure – complementarily and asymmetric – on learning race behavior among international joint venture (IJV) partners in China.

Preliminary in-depth interviews with three IJV managers were conducted to develop and evaluate the tentatively developed questionnaire. The finalized survey questionnaire was distributed to middle and top-level managers of IJVs, resulting in a total of 124 usable surveys. The psychometric properties of data were evaluated using Cronbach’s alpha and confirmatory factor analysis and hypotheses were tested using a generalized linear model.

The results show that partners in IJV have low tendencies to acquire tacit and specific knowledge, but, when the resource is complementary, it stimulates the learning race. Also, when resources are asymmetric, IJV partners engage in the learning race more aggressively, particularly for highly specific knowledge. The situation reverses for highly available knowledge.

The findings provide important insights for both researchers and managers on knowledge characteristics and resource structure influencing learning race behavior. This insight allows firms to leverage features of knowledge and resource conditions to prevent or facilitate the learning race for either common or private interests.

This paper aims to put forward a kind of new method of intelligent trust engineering metrics for application of mobile ad hoc network (MANET).

The new method calculates the communication trust by using the number of data packets among the nodes of MANET, predicts intelligently the trust and calculates the comprehensive trust based on the historical trust; then calculates the energy trust based on the residual energy of the nodes of MANET, calculates the direct trust based on the communication trust and energy trust. The new method calculates the recommendation trust based on the recommendation reliability; adopts the adaptive weighting to calculate the integrated direct trust by considering the direct trust with recommendation trust.

Based on the integrated direct trust and the factor of trust propagation distance, the indirect trust among the nodes of MANET is calculated. The above process can be optimized based on the dynamic machine learning presented in this study. The advantage of the new method is its intelligent ability to discover malicious nodes.

The advantage of the new method is its intelligent ability to discover malicious nodes which can partition the network by falsely reporting other nodes as misbehaving and proceeds to protect the network. The authors have done the experiments based on the tool kits such as NS3, QualNet, OMNET++ and MATLAB. The experimental results show that this study’s approach can effectively avoid the attacks of malicious nodes, and more conformable to the actual engineering application of MANET.

Drawing on the resource-based view and resource complementarity theory, the purpose of this paper is to investigate two research questions: To what extent are logistics information system (IS) resources associated with improved operational performance? And to what extent are these relationships contingent on organizational factors?

A conceptual model with a nested structure is presented to link logistics IS resources and organizational factors with operational performance. The findings are validated using a cross-sectional sample of secondary data from domestic logistics firms in China.

This paper extends existing operational-level measures for logistics IS resources into a three-tier tactical-level typology: inside-out resources (operation-focused IS, decision-focused IS and IS development capability); outside-in resources (relation-focused IS and market-focused IS); and spanning resources (IS integration capability and IS management capability). Though logistics IS resources, in general, are positively related to operational performance, inside-out IS resources have the most significant impact. Organizational factors, such as firm size, firm age and firm ownership, may enhance or suppress the effects of logistics IS resources on performance.

The findings are valuable to both logistics firms and buyer firms in an emerging market, as logistics IS resources may affect costs and quality of logistics service. The tactical-level typology allows logistics firms to better plan for and manage emerging IS resources in a competitive environment.

This paper extends prior work regarding the complementary effects of logistics IS resources and organizational factors on operational performance. Logistics firms should carefully manage the three types of tactical-level IS resources according to their organizational environment to achieve a sustainable competitive advantage.

The purpose of this paper is to extend current knowledge by focusing on three geographic factors (minority-Han residential segregation, rural-urban disparities and regional differences) and their effects on educational and occupational outcomes of Chinese ethnic minorities from 2000 to 2010.

Data from the 2000 and 2010 Chinese decennial censuses were used, and both descriptive and multivariate analyses were conducted.

Results revel that there were regional differences in terms of educational segregation between minorities and the Han. It was also difficult for minority groups that were residentially segregated from the Han and mainly located in rural areas or western/southeastern regions to obtain high-level education. When minority groups were residentially segregated from the Han, they tended to have higher levels of occupational segregation from the Han; while minority groups with larger percentages of rural residents tended to have smaller percentages of people obtained high-status occupations. Despite China’s rapid social and economic development, ethnic disparities in education did not significantly change, and ethnic gaps in occupational attainment were widened from 2000 to 2010.

Geographic sources of ethnic conflicts in China should not be overlooked, and future researchers should also conduct studies on Chinese ethnic minorities at individual or household level.

This study contributes to the literature in two major ways: first, all Chinese minority groups were included in the analyses to clarify intra-ethnic differences; second, data from two Chinese decennial censuses and longitudinal statistical modeling were used to investigate the effect of time on ethnic stratification.

The purpose of this paper is to provide comprehensive analysis and understanding of lean construction (LC) and to help researchers to find new gaps and research opportunities and develop potential collaboration chances.

The bibliographic data were obtained in peer-reviewed journals. The science mapping analysis and social network analysis (SNA) were used to conduct the analysis and visualization. Science mapping was performed to identify the research topics, evolution and the relationships between these topics. Also, the most influential LC-related articles in each topic were identified based on the concept of H-classics. SNA was also used to explore the collaboration status of authors and to identify the core authors in the LC field.

The results showed that topics in the LC field are consistently and continuously changing, which also reveals the fact that the lean concept system has evolved over time to a certain extent. The topics that could form the knowledge base of the LC research field in the future are related to two thematic areas: supply chain management (SCM) and planning and scheduling. SCM focuses on developing a system where supplier and client work together in coordination to deliver materials, works, equipment and labor and other resources. Moreover, prefabrication is a new hot topic, while BIM is a well-developed and isolated topic in the last five years. This result indicates that more studies need to be conducted in the future, to promote the integration of BIM and lean practices in the construction phase, as well as to explore the value of BIM in the reduction or elimination of waste and lean project delivery. As for global collaborations, LC research has been widely pursued throughout the world. The USA and the UK play the most dominant role in the international collaboration network.

Since the analysis of data takes some time, the specific results of this paper are limited to articles published in peer-reviewed journals, which leads to a certain degree of research lag.

This paper provides insights (such as major journals, institutions, key scholars, the evolution of topics, highly indexed articles and the new LC trends in the last five years) for researchers in the LC field.

This paper gives a general review of the above-mentioned literature, including the number of LC-related articles published in each year, as well as the major journals and main contributors to the field of LC.

The smoothness of the high-speed railway (HSR) on the bridge may exceed the allowable standard when an earthquake causes vibrations for HSR bridges, which may threaten the safety of running trains. Indeed, few studies have evaluated the exceeding probability of rail displacement exceeding the allowable standard. The purposes of this article are to provide a method for investigating the exceeding probability of the rail displacement of HSRs under seismic excitation and to calculate the exceeding probability.

In order to investigate the exceeding probability of the rail displacement under different seismic excitations, the workflow of analyzing the smoothness of the rail based on incremental dynamic analysis (IDA) is proposed, and the intensity measure and limit state for the exceeding probability analysis of HSRs are defined. Then a finite element model (FEM) of an assumed HSR track-bridge system is constructed, which comprises a five-span simply-supported girder bridge supporting a finite length CRTS II ballastless track. Under different seismic excitations, the seismic displacement response of the rail is calculated; the character of the rail displacement is analyzed; and the exceeding probability of the rail vertical displacement exceeding the allowable standard (2mm) is investigated.

The results show that: (1) The bridge-abutment joint position may form a step-like under seismic excitation, threatening the running safety of high-speed trains under seismic excitations, and the rail displacements at mid-span positions are bigger than that at other positions on the bridge. (2) The exceeding probability of rail displacement is up to about 44% when PGA = 0.01g, which is the level-five risk probability and can be described as 'very likely to happen'. (3) The exceeding probability of the rail at the mid-span positions is bigger than that above other positions of the bridge, and the mid-span positions of the track-bridge system above the bridge may be the most hazardous area for the running safety of trains under seismic excitation when high-speed trains run on bridges.

The work extends the seismic hazardous analysis of HSRs and would lead to a better understanding of the exceeding probability for the rail of HSRs under seismic excitations and better references for the alert of the HSR operation.

As globalization promotes mobility and tourism around the world, the substitution effect of outbound tourism on domestic tourism becomes increasingly apparent. Knowing how to increase customers' loyalty toward domestic tourism is an urgent and critical question for policymakers and tourism managers, especially from the perspective of customer segmentation. The purpose of this paper is to explore whether and how consumer expertise affects domestic tourism loyalty. This paper also provides comprehensive research for understanding differences between married and unmarried consumers in responses to the impact of expertise on loyalty.

The study is based on a survey of 384 individuals. We use Partial least squares (PLS), a variance-based structural equation model, and statistical comparison to test research hypotheses.

Results suggest that consumer expertise has a “double-edged sword” effect on domestic tourism loyalty. On one hand, it increases the perceived benefit of domestic tourism and reduces consumers' motivation to switch to outbound tourism, resulting in a higher level of domestic tourism loyalty. On the other hand, consumer expertise improves consumers' switching ability and switching opportunity to travel abroad, leading to a lower level of domestic tourism loyalty. Furthermore, this paper documents that married and unmarried customers present heterogeneous attitudes in the decision process. We found that married customers are less sensitive to the impact of consumer expertise on the perceived benefit and the impact of consumer expertise on switch ability. However, married customers are more sensitive to both the impact of perceived usefulness on the switch motivation, and the impact of switch motivation, switch opportunity and switch ability on domestic tourism loyalty.

Our findings enrich the literature on consumer expertise and loyalty. Future studies may consider examining similar relationships by utilizing multiple research methods as well as testing the research findings and mechanisms in different contexts.

This research provides practical guidance for cultivating and maintaining domestic tourism loyalty, such as consumer segmentation in terms of tourism knowledge and information.

This paper examines the relationship between consumer expertise and loyalty in the context of tourism and uncovers the mechanism behind it. More importantly, to our knowledge, this paper is the first to identify consumers' marital status as a key factor that influences the process of how consumer expertise affects domestic tourism loyalty.