The aim of this study was to investigate the impact of low-carbon city pilots (LCCPs) policy using Chinese city-level data from 2009 to 2018 and examine the mechanisms of LCCP…
Abstract
Purpose
The aim of this study was to investigate the impact of low-carbon city pilots (LCCPs) policy using Chinese city-level data from 2009 to 2018 and examine the mechanisms of LCCP policy using a mediation effect model.
Design/methodology/approach
The authors measured carbon emissions by high-resolution carbon emission data and used difference-in-difference (DID) and propensity matching score-difference-in-difference (PSM-DID) model to investigate the relationship between LCCP policy and urban carbon intensity. The complex relationship between policy and carbon intensity was evaluated through a mediation model.
Findings
The results show that LCCP policy can reduce urban carbon intensity (−0.287), but its effects are different in different sectors. The impact of LCCP policy is greater in the industrial enterprise sector than in the transport sector than in the agricultural sector. Second, the authors find that LCCP policy under market-driven is more effective than government intervention. Third, there is a spillover effect of LCCP policy, which is decreasing with distance. Finally, the authors explore the mechanisms of LCCP policy from multiple perspectives, such as optimizing industrial structure, green areas, promoting public transport travel, population migration and innovation. In addition, the flow of these factors can also explain the spillover effects of LCCP policy.
Practical implications
This study confirms that LCCP policy is an effective tool for achieving urban sustainable development. Government policy-makers should consider the differences in the impacts of LCCP policy in different sectors and the spillover effects of LCCP policy. And, it shows that the effects of LCCP policy are larger by market-driven. These findings imply that the government should take full account of city characteristics and marketisation processes when formulating carbon reduction policies.
Originality/value
This study analyzed the relationship between LCCP policy and urban carbon intensity based on high-resolution carbon emission data. Urban panel data are used to discuss the impacts of LCCP policy under government intervention and market-driven and the mechanisms at play. The study reveals that LCCP policy mainly acts on the industrial enterprise sector, the spillover effects and the market-driven effects.
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The relationship between industrial policy and exploratory innovation is imperfect.
Abstract
Purpose
The relationship between industrial policy and exploratory innovation is imperfect.
Design/methodology/approach
The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.
Findings
First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.
Originality/value
This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.
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Chen Mingman, Ren Hong, Cai Weiguang, Li Xiaohui, Ren Pengyu and Deson Lee
Along with the acceleration of Chinese urbanization, urban history degrades at a rapid rate, and development follows formalism. Based on architectural typology, this study…
Abstract
Along with the acceleration of Chinese urbanization, urban history degrades at a rapid rate, and development follows formalism. Based on architectural typology, this study introduces a methodology of concept mapping and discusses the urban complex design method from a perspective of regional cultural elements. The theoretical analysis shows that concept mapping represents an integrated solution that incorporates regional cultural elements into architectural planning. Through the concept mapping method, it not only protects the physical environment, but also strengthens modern urban residents’ psychological sense of belonging to their own living space. Meanwhile, distinct regional cultural elements can be efficiently combined in the overall layout, monomer building design, building details design, and landscape design of urban complex by using different architectural design methods. This design method is validated using an actual case in Guizhou. Therefore, it forms a complete set of design method with a three-step framework, namely positioning cultural areas, summarizing regional cultural elements, and selecting the mapping method and combination mode.
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Xiang Liu, Xinghai Cheng, Pengyu Feng, Jing Li, Zhongping Tang, Jiangbing Wang, Yonggang Chen, Hongjie Zhu, Hengcheng Wan and Lei Zhang
This paper aims to try to develop new, environmentally friendly and efficient lubricating additives; study the compatibility of carbon-based additives with different base oils…
Abstract
Purpose
This paper aims to try to develop new, environmentally friendly and efficient lubricating additives; study the compatibility of carbon-based additives with different base oils [Polyalphaolefin (PAO)-3, PAO-20 and NPE-2]; and explore the lubrication mechanism.
Design/methodology/approach
Oleylamine modified carbon nanoparticles (CNPs-OA) were prepared and the dispersion stability of CNPs-OA in PAO-3, PAO-20 and NPE-2 base oils was investigated by transmission electron microscopy, Fourier transform infrared, thermogravimetric analysis, energy dispersive spectroscopy and X-ray photoelectron spectroscopy. Universal Mechanical Tester (UMT) platform was used to carry out experiments on the effects of different additive concentrations on the lubricating properties of base oil.
Findings
The mean friction coefficient of PAO-3, PAO-20 and NPE-2 reduced by 32.8%, 10.1% and 11.4% when the adding concentration of CNPs-OA was 1.5, 2.0 and 0.5 Wt.%, respectively. Generally, The CNPs-OA exhibited the best friction-reducing and anti-wear performance in PAO-3.
Originality/value
The agglomeration phenomenon of carbon nanoparticles as lubricating additive was improved by surface modification, and the lubricating effect of carbon nanoparticles in three synthetic aviation lubricating base oils was compared.
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Hongyu Ma, Yongmei Carol Zhang, Allan Butler, Pengyu Guo and David Bozward
China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is…
Abstract
Purpose
China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is recognized as an important element to rural revitalization and entrepreneurship, research into the role of psychological capital is less developed. Therefore, this paper assesses the impact of both social and psychological capital on entrepreneurial performance of Chinese new-generation rural migrant entrepreneurs (NGRMEs) who have returned to their homes to develop businesses as part of the rural revitalization revolution.
Design/methodology/approach
Based on a survey, data were collected from 525 NGRMEs in Shaanxi province. This paper uses factor analysis to determine variables for a multiple linear regression model to investigate the impacts of dimensions of both social capital and psychological capital on NGRMEs’ entrepreneurial performance.
Findings
Through the factor analysis, social capital of these entrepreneurs consists of five dimensions (reputation, participation, networks, trust and support), psychological capital has three dimensions (innovation and risk-taking, self-efficacy and entrepreneurial happiness) and entrepreneurial performance contains four dimensions (financial, customer, learning and growth, and internal business process). Furthermore, the multiple linear regression model empirically verifies that both social capital and psychological capital significantly influence and positively correlate with NGRMEs' entrepreneurial performance.
Originality/value
This study shows the importance of how a mixture of interrelated social and psychological dimensions influence entrepreneurial performance that may contribute to the success of the Chinese rural revitalization strategy. This has serious implications when attempting to improve the lives of over 100 million rural Chinese citizens.
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Pengyu Li, Jingbo Shao and Hang Wu
In the actual livestreaming background, to obtain more income, some broadcasters will transform their original single role orientation into mixed one. This research study aims to…
Abstract
Purpose
In the actual livestreaming background, to obtain more income, some broadcasters will transform their original single role orientation into mixed one. This research study aims to conduct an empirical study on the influence of the broadcasters' role orientation transformation on the viewers' tipping behavior.
Design/methodology/approach
The authors collect data from Kuai, a leading online live streaming service provider in China. The dataset includes 175,701 live streaming data from 971 broadcasters in 7 months. To avoid unobservable factors, the authors adopt two difference-in-differences (DID) models to estimate the effect of two kinds of broadcaster's role orientation transformation on the broadcaster’s direct income separately. And the authors use the Heckman-type correction to solve broadcasters’ self-selected problem.
Findings
The authors evaluated that there is a U-shape relationship between the broadcasters' role orientation transformation and their direct income. The broadcasters' direct income experienced a sharp decline for a short period of time after transformation and followed by a rise after a period of adaptation. And for broadcasters with different genders and amounts of fans, the influence degree of role orientation transformation is various.
Originality/value
This paper provides a fresh usage of the regulatory engagement theory in the brand new information communication technology. And it also explores the boundary effect of the participating object's self-factors in the regulatory engagement theory. Besides, this paper expands the research of livestreaming into natural background. Such results also provide operable suggestions for the livestream platform, the broadcaster himself and the enterprises who want to employ some broadcasters to recommend their products.
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Jikai Zhu, Pengyu Li and Jingbo Shao
This study aims to delve into the varying impacts of different types of emotions conveyed through retailers' review request texts on consumers' intention to write a review.
Abstract
Purpose
This study aims to delve into the varying impacts of different types of emotions conveyed through retailers' review request texts on consumers' intention to write a review.
Design/methodology/approach
To verify the relationships between these variables, two laboratory experiments were conducted in this study.
Findings
The findings indicate that when accompanied by an objective statement, texts that evoke empathy and favor have a positive influence on consumers' inclination to write a review. Moreover, by examining the underlying mechanism, this study uncovers two interconnected mediators, namely persuasive intent and cognitive (affective) resistance, along with empathy and helping intention. Additionally, the study explores the moderating role of customer satisfaction with the product, shedding light on the contextual factors that influence the effects of emotional cues in review texts.
Originality/value
This research contributes to the literature and practice by focusing on the process of retailers' generating online reviews. This is one of the first studies to systematically examine the effects of emotional text in retailers' review request on consumers' reviewing intention from the perspective of emotional evocation. The experimental findings and the underlying mechanisms emphasize the impact of different types of emotions in retailers' review requests texts on consumers' reviewing intentions. It can help retailers better understand the psychological reactions of consumers when they ask reviews, which provide theoretical support for retailers to design more reasonable asking texts.
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Pengyu Zhu, Jayantha Liyanage and Simon Jeeves
Emergency shutdown (ESD) systems play a critical role in ensuring safety and availability of oil and gas production. The systems are operated in on-demand mode, and the detection…
Abstract
Purpose
Emergency shutdown (ESD) systems play a critical role in ensuring safety and availability of oil and gas production. The systems are operated in on-demand mode, and the detection and prediction of their failures is deemed challenging. The purpose of this paper is to develop a logical data-driven approach to enhance the understanding and detectability of ESD system failures.
Design/methodology/approach
The study was conducted in close collaboration with the Norwegian oil and gas industry. The study and analyses were supported by industrial data, failure data generated in a test facility in Norway and domain experts.
Findings
The paper demonstrated that there is a considerable potential to improve the decision process and to reduce the workload related to ESD systems by means of a logical data-driven approach. The results showed that the failure analysis process can be executed with more clarity and efficiency. Common cause failures could also be identified based on the suggested approach. The study further underlined the requirements regarding relevant data, new competence and technical supports in order to improve the current practice.
Originality/value
The paper leveraged the value of real-time data in identifying failures through mapping of the interrelationships between data, failure mechanisms and decisions. The failure analysis process was re-designed, and the understanding and decision making related to the system was improved as a result. The process developed for ESDs can further be adapted as a common practice for other low-demand systems.
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GuoHua Gao, Pengyu Wang and Hao Wang
The purpose of this paper is to present a follow-the-leader motion strategy for multi-section continuum robots, which aims to make the robot have the motion ability in a confined…
Abstract
Purpose
The purpose of this paper is to present a follow-the-leader motion strategy for multi-section continuum robots, which aims to make the robot have the motion ability in a confined environment and avoid a collision.
Design/methodology/approach
First, the mechanical design of a multi-section continuum robot is introduced and the forward kinematic model is built. After that, the follow-the-leader motion strategy is proposed and the differential evolution (DE) algorithm for calculating optimal posture parameters is presented. Then simulations and experiments are carried out on a series of predefined paths to analyze the performance of the follow-the-leader motion.
Findings
The follow-the-leader motion can be well performed on the continuum robots this study proposes in this research. The experimental results show that the deviation from the path is less than 9.7% and the tip error is no more than 15.6%.
Research limitations/implications
Currently, the follow-the-leader motion is affected by the following factors such as gravity and continuum robot design. Furthermore, the position error is not compensated under open-loop control. In future work, this paper will improve the accuracy of the robot and introduce a closed-loop control strategy to improve the motion accuracy.
Originality/value
The main contribution of this paper is to present an algorithm to generate follow-the-leader motion of the continuum robot based on DE. This method is suitable for solving new arrangements in the process of following a nonlinear path. Then, it is expected to promote the engineering application of the continuum robot.
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Xiangbin Yan, Yumei Li and Weiguo Fan
Getting high-quality data by removing the noisy data from the user-generated content (UGC) is the first step toward data mining and effective decision-making based on ubiquitous…
Abstract
Purpose
Getting high-quality data by removing the noisy data from the user-generated content (UGC) is the first step toward data mining and effective decision-making based on ubiquitous and unstructured social media data. This paper aims to design a framework for revoking noisy data from UGC.
Design/methodology/approach
In this paper, the authors consider a classification-based framework to remove the noise from the unstructured UGC in social media community. They treat the noise as the concerned topic non-relevant messages and apply a text classification-based approach to remove the noise. They introduce a domain lexicon to help identify the concerned topic from noise and compare the performance of several classification algorithms combined with different feature selection methods.
Findings
Experimental results based on a Chinese stock forum show that 84.9 per cent of all the noise data from the UGC could be removed with little valuable information loss. The support vector machines classifier combined with information gain feature extraction model is the best choice for this system. With longer messages getting better classification performance, it has been found that the length of messages affects the system performance.
Originality/value
The proposed method could be used for preprocessing in text mining and new knowledge discovery from the big data.