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This paper explores the relationship between research and development (R&D) intensity and circular supply chain management (CSCM) adoption of high-tech manufacturing companies in China to deepen our understanding of how to improve CSCM adoption in emerging economies. In particular, we examine the moderating effect of three kinds of institutional pressures (i.e., regulatory pressure from governmental regulations, mimetic pressure from industry competition, and normative pressure from overseas customer demand) from the perspective of institutional theory. Based on the panel data of 310 Chinese listed companies from 2006 to 2019, we find that R&D intensity positively affects firms' CSCM adoption. We further observe that this positive effect is strengthened when the ratio of state-owned shares or the degree of industry competition is higher. However, overseas operating income does not affect the impact of R&D intensity on CSCM adoption. Our study contributes to the literature on the innovation – circular economy debate, confirming the positive effect of R&D intensity on firms' CSCM adoption, and provides insights into moderating effects on this relationship in an emerging economy context.

The New-type Urbanization Plan in China is facing planning, economic, and environmental constraints. A fast-growing urban population imposes distinct pressure on social and natural resources in most cities. As a result, the urban land use pattern in China has rapidly expanded from planar to stereoscopic. Although the pattern has effectively maximized the utilization of land resources, the "one-size-fits-all" solution is not applicable to all cities in China. The assessment of the suitability of a city is important before the application of the "three-dimensional" (3D) development approach, especially for cities with important natural endowment at stake. This study proposes a framework to assess the potential of a city for 3D space development in China. Our model considers land use suitability, economic feasibility, and landscape visibility in urban 3D space development decisions. We use Liuzhou City as a case study to demonstrate the empirical implementation of this framework. Our analysis shows that the model can assist urban planners to visualize urban morphology and to identify optimal development directions. By balancing planning, economic, and environmental needs, our model enables local governments to meet their development targets without sacrificing the environment. The proposed framework is a useful tool for local government to realize the New-type Urbanization Plan while ensuring that urban residents "see the mountains, view the rivers, and remember their past." ; This study was supported by the Major Scheme of National Social Science Foundation of China (Grant no. 09&ZD047) and the Special Research Fund Project for Public Welfare Industry of the Ministry of Land and Resources of China (Grant no. 201511003-2 and 201511010-04). We are grateful to the National Natural Science Foundation of China (Project #71231005) for the financial support and to the Liuzhou Bureau of Land and Resources and Housing Management for providing us with valuable data. ; This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.habitatint.2015.10.012

3D modelling of precincts and cities has significantly advanced in the last decades, as we move towards the concept of the Digital Twin. Many 3D city models have been created but a large portion of them neglect representing terrain and buildings accurately. Very often the surface is either considered planar or is not represented. On the other hand, many Digital Terrain Models (DTM) have been created as 2.5D triangular irregular networks (TIN) or grids for different applications such as water management, sign of view or shadow computation, tourism, land planning, telecommunication, military operations and communications. 3D city models need to represent both the 3D objects and terrain in one consistent model, but still many challenges remain. A critical issue when integrating 3D objects and terrain is the identification of the valid intersection between 2.5D terrain and 3D objects. Commonly, 3D objects may partially float over or sink into the terrain; the depth of the underground parts might not be known; or the accuracy of data sets might be different. This paper discusses some of these issues and presents an approach for a consistent 3D reconstruction of LOD1 models on the basis of 3D point clouds, DTM, and 2D footprints of buildings. Such models are largely used for urban planning, city analytics or environmental analysis. The proposed method can be easily extended for higher LODs or BIM models.

3D modelling of precincts and cities has significantly advanced in the last decades, as we move towards the concept of the Digital Twin. Many 3D city models have been created but a large portion of them neglect representing terrain and buildings accurately. Very often the surface is either considered planar or is not represented. On the other hand, many Digital Terrain Models (DTM) have been created as 2.5D triangular irregular networks (TIN) or grids for different applications such as water management, sign of view or shadow computation, tourism, land planning, telecommunication, military operations and communications. 3D city models need to represent both the 3D objects and terrain in one consistent model, but still many challenges remain. A critical issue when integrating 3D objects and terrain is the identification of the valid intersection between 2.5D terrain and 3D objects. Commonly, 3D objects may partially float over or sink into the terrain; the depth of the underground parts might not be known; or the accuracy of data sets might be different. This paper discusses some of these issues and presents an approach for a consistent 3D reconstruction of LOD1 models on the basis of 3D point clouds, DTM, and 2D footprints of buildings. Such models are largely used for urban planning, city analytics or environmental analysis. The proposed method can be easily extended for higher LODs or BIM models.

Although it is well recognized that environmental labeling certification (ELC) is becoming an increasingly important voluntary environmental regulation worldwide, the evidence regarding its role in environmental innovation remains unknown. This study examines the impact of ELC on corporate environmental innovation (CEI) from both external and internal perspectives via the combination of legitimacy theory and the resource management perspective. Based on panel data of listed Chinese manufacturing firms from 2008 to 2014, it is found that ELC improves CEI. However, this relationship is also regulated by two contextual factors: the positive impact of ELC on CEI is found to be stronger for non-state-owned enterprises (non-SOEs) than for state-owned enterprises (SOEs), and it is stronger for firms in regions with a low degree of local government intervention than for firms in regions with a high degree of local government intervention. This study makes important theoretical contributions and has extensive practical value.

This paper examines the demand for directors' and officers' liability insurance (D&O insurance) by Chinese listed companies where controlling-minority shareholder incentive conflicts are acute due to the concentrated and split ownership structure. We hypothesize and find evidence that the incidence of seeking D&O insurance is positively related to the extent of controlling-minority shareholder incentive conflicts - a finding not previously documented in the literature. Using an event study, we find that the announcements of D&O insurance decisions in firms that engage in earnings management, and/or are controlled by a local government (such firms tend to have stronger incentives to tunnel), seem to have a negative wealth effect. In addition, the incidence of the D&O insurance decision is positively related to the proportion of independent directors and several litigation risk proxies. Therefore, the breakthrough in corporate governance and judicial reforms has created non-negligible perceived securities litigation risks in China. © 2008 Elsevier B.V. All rights reserved. ; postprint

How to balance the central government and local governments' political authority relating to environmental governance has long been a topic of intense debate in China. Since both environmental and economic regulations are regulatory tools of governments, political authority and systems must be considered in deciding to what extent to empower local governments. Central government needs to find a tradeoff point when being placed under the dual pressure of environmental protection and maintaining the economic growth rate. Based on a two-level principal–agent model, our research compares the effects of centralized and decentralized governance on the efficiency of environmental regulation. Our results suggest that under decentralized environmental governance, the local governments' incentives increase, which results in either "race to the top" or "race to the bottom" competition in environmental regulation. Moreover, such governance prompts local governments to reduce their investment in economic development and environmental protection. However, decentralization in environmental governance will become more beneficial to the central government if the benefits of reducing information asymmetry surpass enhanced agency costs; otherwise, centralized environmental governance is preferred. Our research proposes a hybrid model of centralized and decentralized environmental governance to help cushion firms against high agency costs and local government–firm collusion.

In spatial science and urban applications, "space" is presented by multiple disciplines as a notion referencing our living environment. Space is used as a general term to help understand particular characteristics of the environment. However, the definition and perception of space varies and these variations have to be harmonised. For example, space may have diverse definitions and classification, the same environment may be abstracted/modelled by contradicting notions of space, which can lead to inconsistencies and misunderstandings. In this paper, we seek to investigate and document the state-of-the-art in the research of "space" regarding its definition, classification, modelling and utilization (2D/3D) in spatial sciences and urban applications. We focus on positioning, navigation, building micro-climate and thermal comfort, landscape, urban planning and design, urban heat island, interior design and planning, transportation and intelligent space. We review 147 research papers, technical reports and on-line resources. We compare the presented space concepts with respect to five criteria—classification, boundary, modelling components, use of standards and granularity. The review inventory is intended for both scientists and professionals in the spatial industry, such as companies, national mapping agencies and governments, and aim to provide a reference to better understand and employ the "space" while working across disciplines.

To optimise the use of limited available land, land-scarce cities such as Singapore are increasingly looking towards the underground in search of more space. A good understanding of what already exists underground is essential for the planning of underground spaces. In particular, utility services make up a significant part of what exists underground. To meet planning needs, the Singapore government has initiated efforts towards bringing records of existing utility networks together in a single database and share its contents to support planning, design, and construction of underground developments. However, these records can not be relied on to support these critical processes: They are not guaranteed to represent today's state of the underground, are not accurate or of unknown accuracy, are inconsistently modelled, and may indicate as-design information instead of as-built information. This lack of reliability leads to an increase in cost and a loss in efficiency caused by the need to repeatedly survey to locate existing utility services on-site, and can have potentially disastrous outcomes when an excavation would damage existing services. Technological advances in utility surveying and mapping devices such as Ground Penetrating Radar (GPR) and gyroscopic pipeline mapping devices offer the potential of accurately mapping utilities in three dimensions (3D) at a large scale and high speed. However, a better understanding of the benefits and limitations of these technologies in a practical context is needed, as well as their suitability for mapping to support applications such as urban planning and land administration. The Digital Underground project is a collaboration between Singapore-ETH Centre, Singapore Land Authority and the City of Zürich that aims to develop a roadmap towards a reliable 3D utility map of Singapore. To enable the development of utility mapping standards and guidelines, the 3D mapping workflow for underground utilities is studied extensively based on market research, literature study, and case studies. This work presents the beginnings of a framework for 3D mapping of underground utilities as one of the initial results of the Digital Underground project as it is in progress. From these experiences, it can be concluded that, together with existing data, data captured using various surveying methods can indeed contribute to the establishment and maintenance of a consolidated and reliable utility map. To this end, a multi-sensor, multi-data 3D mapping workflow is proposed to integrate data captured using different surveying techniques during different moments in the development lifecycle of utilities. Based on this framework, this work also identifies areas for improvement and critical gaps to be bridged that will ultimately form part of the roadmap.

To optimise the use of limited available land, land-scarce cities such as Singapore are increasingly looking towards the underground in search of more space. A good understanding of what already exists underground is essential for the planning of underground spaces. In particular, utility services make up a significant part of what exists underground. To meet planning needs, the Singapore government has initiated efforts towards bringing records of existing utility networks together in a single database and share its contents to support planning, design, and construction of underground developments. However, these records can not be relied on to support these critical processes: They are not guaranteed to represent today's state of the underground, are not accurate or of unknown accuracy, are inconsistently modelled, and may indicate as-design information instead of as-built information. This lack of reliability leads to an increase in cost and a loss in efficiency caused by the need to repeatedly survey to locate existing utility services on-site, and can have potentially disastrous outcomes when an excavation would damage existing services. Technological advances in utility surveying and mapping devices such as Ground Penetrating Radar (GPR) and gyroscopic pipeline mapping devices offer the potential of accurately mapping utilities in three dimensions (3D) at a large scale and high speed. However, a better understanding of the benefits and limitations of these technologies in a practical context is needed, as well as their suitability for mapping to support applications such as urban planning and land administration. The Digital Underground project is a collaboration between Singapore-ETH Centre, Singapore Land Authority and the City of Zürich that aims to develop a roadmap towards a reliable 3D utility map of Singapore. To enable the development of utility mapping standards and guidelines, the 3D mapping workflow for underground utilities is studied extensively based on market research, literature study, and case studies. This work presents the beginnings of a framework for 3D mapping of underground utilities as one of the initial results of the Digital Underground project as it is in progress. From these experiences, it can be concluded that, together with existing data, data captured using various surveying methods can indeed contribute to the establishment and maintenance of a consolidated and reliable utility map. To this end, a multi-sensor, multi-data 3D mapping workflow is proposed to integrate data captured using different surveying techniques during different moments in the development lifecycle of utilities. Based on this framework, this work also identifies areas for improvement and critical gaps to be bridged that will ultimately form part of the roadmap.

The nodal-line semimetals have attracted immense interest due to the unique electronic structures such as the linear dispersion and the vanishing density of states as the Fermi energy approaching the nodes. Here, we report temperature-dependent transport and scanning tunneling microscopy (spectroscopy) [STM(S)] measurements on nodal-line semimetal ZrSiSe. Our experimental results and theoretical analyses consistently demonstrate that the temperature induces Lifshitz transitions at 80 and 106 K in ZrSiSe, which results in the transport anomalies at the same temperatures. More strikingly, we observe a V-shaped dip structure around Fermi energy from the STS spectrum at low temperature, which can be attributed to co-effect of the spin-orbit coupling and excitonic instability. Our observations indicate the correlation interaction may play an important role in ZrSiSe, which owns the quasi-two-dimensional electronic structures. © 2020 American Physical Society. ; This work was supported by the National Key R&D Program (Grants No. 2016YFA0300404, No. 2016YFA0401803, No. 2017YFA0303201, No. 2015CB921103, and No. 2019YFA0308602), the National Nature Science Foundation of China (Grants No. 11674326, No. 11674331, No. 11774351, No. 11874357, No. 11625415, No. 11374260, No. U1432139, No. U1832141, and No. U1932217), Key Research Program of Frontier Sciences, CAS (Grant No. QYZDB-SSW-SLH015), the "Strategic Priority Research Program (B)" of the Chinese Academy of Sciences, Grant No. XDB33030100, the "100 Talents Project" of the Chinese Academy of Sciences, CASHIPS Director's Fund (Grant No. BJPY2019B03) and Science Challenge Project (Grant No. TZ2016001). A portion of this work was supported by the High Magnetic Field Laboratory of Anhui Province, the Fundamental Research Funds for the Central Universities in China, the European Research Council under the European Union's Seventh Framework Program (FP/2007-2013) through ERC Grant No. 338957 and by NWO via Spinoza Prize, and the Cluster of Excellence "The Hamburg Centre for Ultrafast Imaging (CUI)" of the German Science Foundation (DFG).