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The goal of this chapter is to respond to the theoretical inquiries by scholars who are interested in how the public–private partnership (PPP) models adapt to China’s context where political power dictates economic strategies. We also want to provide suggestions to policy designers who aim to promote a sustainable investment environment for domestic and international investors. We review the literature that explains the upside and downside of PPP projects in contemporary China. (1) We classify the trajectory of PPP evolution into four phases, i.e., emergence, growth, recession and revival. (2) We note that private companies take a disadvantageous position in the partnership compared with governments and state-owned enterprises because of a lack of specialized legislation, unequal competition between private companies and state-owned enterprises and the opposition from the civic society. (3) We identify political risks as the most influential risks. Political risks also lead to the misallocation of other risks between public and private parties that contributes to the high failure rate of China’s PPP projects. Based on these findings, we recommend governments to draft specialized legislation, stabilize the political environment and provide favourable subsidies to local governments to limit the risks involved in PPP projects. We also advise private enterprises and state-owned enterprises to focus on negotiating over task and risk division with governments when they make decisions to participate in PPP projects. This full review of studies on PPP development in China provides reliable recommendations to scholars, governments and enterprises.

The aims of this study are to conduct a systematic review of public–private partnership (PPP) studies published from 2009 to 2019, to compare the results with Ke et al. (2009) who reviewed the PPP literature published from 1998 to 2008, and to trace the evolution of the PPP knowledge in the past two decades. This study also presents the possible directions that the PPP research may go towards in the future, arguably.

This study carried out a top journal-based search to identify the quality PPP articles published from 2009 to 2019. A total of 12 top-tier construction journals were systematically searched in the database of web of science (WOS), from which 279 PPP articles were identified for review.

The number of the identified articles, the titles of the journals, institutions, the most cited papers, and prevalent research methods were analyzed and compared. The existing PPP studies in construction journals were classified into seven streams. Through analysis of the PPP research status and gaps, five future research directions were revealed.

This study contributes to the current body of knowledge by revealing the research trend of PPP from 2009 to 2019. It presents the change of PPP development trend in the past decade through comparison with Ke et al. (2009). It also reveals the major research streams and points out the directions that the PPP research may go towards in the future. Moreover, this study is helpful to the practice as well. It can enhance the practitioners' understanding of the PPP development in the past decade. In addition, it identified the research institutions contributing the most in the area of PPP, which may serve as valuable reference for practitioners to locate the best institutions for consultancy or collaboration.

This study aims to provide an estimation of carbon dioxide (CO₂) emission abatement costs in China’s industry sector during the period of 2006-2010, and additionally provide an ex-post estimation of CO₂ abatement cost savings that would be realized if carbon emission permits trading among different industry sectors of 30 provinces in China during the same period were allowed, to answer the question that whether the industrial carbon emission abatement cost can (partially) be recovered from carbon emission trading in China.

The joint production framework associated with the environmental technology is utilized for formulating the models for estimating abatement costs and simulating emission permits trading scheme. Several data envelopment analysis-based models that could deal with both the desirable and undesirable outputs within the above framework are utilized for abatement cost saving estimation. The weak disposability assumption and variable returns to scale assumption are applied in the modelling.

In China’s industry sector, during 2006-2010, the estimated CO₂ emission abatement cost was 1,842 billion yuan, which accounts for 2.45 per cent of China’s total industrial output value; the emission abatement cost saving from emission permits trading would be 315 billion yuan, which accounts for 17.12 per cent of the emission opportunity abatement cost; and additional 1,065.95 million tonnes of CO₂ emission reductions would be realized from emission permits trading, and this accounts for 4.75 per cent of the total industrial CO₂ emissions.

The estimation is implemented at the regional level, i.e. the emission permits trading subjects are the whole industry sectors in different Chinese provinces, because of the data limitation in this study. Further estimation could be implemented at the enterprise level to provide a deeper insight into the abatement cost recovery from emission permits trading.

The estimation models and calculation process introduced in this study could be applied for evaluating the efficiency and effectiveness of pollutant emission permits trading schemes from the perspective that whether these market-based abatement policy instruments help to realize the potential abatement cost savings.

To the best of the authors’ knowledge, no study has provided the estimation of CO₂ emission abatement cost and the estimation of CO₂ abatement cost saving effect from emission permits trading for China’s industry sector. This study provides the first attempt to fill this research gap.

Based on the Chinese government's increased public‐private partnership (PPP) experience in the last decade, they have made a lot of efforts to improve the investment environment. This paper hence aims to conduct a more up‐to‐date evaluation of the potential risks in China's PPP projects.

As part of a comprehensive research looking at implementing PPP, a two‐round Delphi survey was conducted with experienced practitioners to identify the key risks that could be encountered in China's PPP projects. The probability of occurrence and severity of the consequence for the selected risks were derived from the surveys and used to calculate their relative risk significance index score.

The results showed that the top ten risks identified according to their risk significance index score are: government's intervention; poor political decision making; financial risk; government's reliability; market demand change; corruption; subjective evaluation; interest rate change; immature juristic system; and inflation. Further analysis was conducted on these risks so that the possible consequence, the most impacted parties, and the preferred allocation are discussed. Recommendations on commercial principles or contract terms between the Chinese government and private consortium are also provided.

These up‐to‐date findings concerning the probability and consequence of key risks would provide a valuable reference for private investors who are planning to invest in infrastructure projects in China.

This chapter studies the importance of implementation of innovational projects of technological growth through public–private partnership (PPP). The authors determine the probability of implementing a project of PPP depending on distribution of risks between its participants. Usage of the mechanism of PPP allows optimizing possible risks during implementation of innovational activities, attracting large business for creation and implementation of new technologies, and forming sustainable ties between R&D departments and business structures. The types of risks in the projects of PPP are given, as well as tendencies of their emergence depending on the stage of implementation of the innovational project, including the following: formation of policy on development of PPP; preparatory, implementary, commercialization of the results of joint activities; and monitoring and control over execution of the project. The algorithm of the system of risk management in innovational projects of technological growth on the platform of PPP is presented. The methods of overcoming the risks that appear during implementation of an innovational project of technological growth within PPP are given. A special attention should be paid to the fourth (distribution of risks) and fifth (reduction of risks) stages. During implementation of innovational projects with application of a business model of PPP, the risks are dealt with by the participant who can manage them better. Reduction of risks is achieved better if several strategies are used – for decreasing the influence of the risk on the innovational project (strategies of risk evasion, acceptance of the risk situation, compensation, transfer, and reduction).

Recent studies have indicated that digital transformation can benefit an organization’s strategic renewal. However, there is little knowledge on how business executives engage in digital transformation for this purpose, especially in the service sectors of emerging markets. Therefore, this study aims to examine how business managers accomplish strategic renewal through digital transformation in emerging markets.

The authors conducted a longitudinal single case study of a leading business firm in China’s real estate industry, China Overseas Land & Investment Ltd. (COLI). Results of the analysis of semistructured interviews and rich secondary data allowed us to better understand how business managers react to changing customer demands by building and implementing divergent digital tools to fulfill strategic renewal.

The results showed that business executives of COLI developed the Whole Life Cycle Management System, to achieve strategic renewal. The system benefits resource allocation and potential adjustments to strategic goals. This study also helps update the organizational structure of the marketing and consumer services departments, helping better satisfy consumers’ demands and waste fewer resources. Thus, COLI accomplished structural, contextual and leadership-based ambidexterity.

This study provides a fresh understanding of the link between digitalization and strategic renewal by providing a fine-grained analysis of leading service providers in emerging markets. To the best of the authors’ knowledge, this study is among the first to investigate the role of digital transformation in strategic renewal from an ambidexterity perspective.

This paper aims to understand the role of government played in the innovation process during the social crisis, and to investigate the innovation activities of the authoritarian state when dealing with social crisis.

Secondary data pertaining to eight impactful technological innovations in China during the COVID-19 crisis reveal how interactions and joint efforts by commercial firms and government organizations emerged as spontaneous responses.

The analysis of eight innovations – health code adoption, health omnichannel construction, noncontact service provision, distance education provision, public emotion consolation service, cross-boundary project promotion, cloud office adoption and medical material production – reveals a matrix of best practices that details the roles of government (controller or endorser) and the value creation orientation (pro-social or pro-economic value).

This study enriches innovation literature by providing a new perspective on the relationship between governmental force and technological innovation during social crises. As these new insights reveal, technological innovation can contribute to social crisis management. China’s example provides helpful implications for other countries suffering from the COVID-19 crisis.

Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income distribution of PPP projects play a vital role in achieving project success. This paper is aimed at building a practical and effective risk sharing and income distribution model to achieve win–win situation among different stakeholders, thereby providing a systematic framework for governments to promote construction waste recycling.

Stakeholders of construction waste recycling PPP projects were reclassified according to the stakeholder theory. Best-worst multi–criteria decision-making method and comprehensive fuzzy evaluation method (BWM–FCE) risk assessment model was constructed to optimize the risk assessment of core stakeholders in construction waste recycling PPP projects. Based on the proposed risk evaluation model for construction waste recycling PPP projects, the Shapley value income distribution model was modified in combination with capital investment, contribution and project participation to obtain a more equitable and reasonable income distribution system.

The income distribution model showed that PPP Project Companies gained more transaction benefits, which proved that PPP Project Companies played an important role in the actual operation of PPP projects. The policy change risk, investment and financing risk and income risk were the most important risks and key factors for project success. Therefore, it is of great significance to strengthen the management of PPP Project Companies, and in the process of PPP implementation, the government should focus on preventing the risk of policy changes, investment and financing risks and income risks.

The findings from this study have advanced the application methods of risk sharing and income distribution for PPP projects and further improved PPP project-related theories. It helps to promote and rationalize fairness in construction waste recycling PPP projects and to achieve mutual benefits and win–win situation in risk sharing. It has also provided a reference for resource management of construction waste and laid a solid foundation for long-term development of construction waste resources.

PPP mode is an effective tool for construction waste recycling. How to allocate risks and distribute benefits has become the most important issue of waste recycling PPP projects, and also the key to project success. The originality of this study resides in its provision of a holistic approach of risk allocation and benefit distribution on construction waste PPP projects in China as a developing country. Accordingly, this study adds its value by promoting resource development of construction waste, extending an innovative risk allocation and benefit distribution method in PPP projects, and providing a valuable reference for policymakers and private investors who are planning to invest in PPP projects in China.

This paper aims to provide a new method of generating relatively accurate and smooth saturated B-H curves based on reliable measurement data to improve the accuracy and efficiency of electromagnetic simulation.

The characteristics of different B-H curve extrapolation models are summarized, and an improved method is proposed. The fitting procedure in low fields and extrapolation procedure in high fields are presented in detail. The saturated B-H curves generated by various methods are compared and discussed. Finally, a simulation case study proved the advantages of the new method in terms of simulation accuracy and efficiency.

The B-H curve created by the new method avoids extrapolation from a single point and simultaneously smoothens the entire B-H curve, thereby improving the simulation accuracy and efficiency. The low magnetic potential requirements for closed measurements and the small deviation with open measurements indicate that this method is well-suited for implementation.

The results are applicable for materials subject to such excitation levels that saturation has to be taken into account.

While some extrapolation models of B-H curves have been investigated in reference papers, there is still room for improvement in accuracy and smoothness. The new method processes low fields and high fields magnetization data and then connects them based on third-order boundary equations for the first time. This method can generate saturated B-H curves with good accuracy and smoothness while retaining outstanding operability.

This paper aims to propose a measurement principle and a calibration method of measurement system integrated with serial robot and 3D camera to identify its parameters conveniently and achieve high measurement accuracy.

A stiffness and kinematic measurement principle of the integrated system is proposed, which considers the influence of robot weight and load weight on measurement accuracy. Then an error model is derived based on the principle that the coordinate of sphere center is invariant, which can simultaneously identify the parameters of joint stiffness, kinematic and hand-eye relationship. Further, considering the errors of the parameters to be calibrated and the measurement error of 3D camera, a method to generate calibration observation data is proposed to validate both calibration accuracy and parameter identification accuracy of calibration method.

Comparative simulations and experiments of conventional kinematic calibration method and the stiffness and kinematic calibration method proposed in this paper are conducted. The results of the simulations show that the proposed method is more accurate, and the identified values of angle parameters in modified Denavit and Hartenberg model are closer to their real values. Compared with the conventional calibration method in experiments, the proposed method decreases the maximum and mean errors by 19.9% and 13.4%, respectively.

A new measurement principle and a novel calibration method are proposed. The proposed method can simultaneously identify joint stiffness, kinematic and hand-eye parameters and obtain not only higher measurement accuracy but also higher parameter identification accuracy, which is suitable for on-site calibration.