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The extant literature recognizes that trade credit is influenced by the power imbalance between buyers and suppliers but most studies focus on either buyer power or supplier power. The purpose of this study is to investigate how buyer power and supplier power interact and jointly influence trade credit. Moreover, this study examines the moderating effects of political ties in an emerging economy context.

A research framework was developed by combining resource dependence theory and institutional theory to investigate the interactive effects of market power (i.e. market share and supplier concentration) and non-market power (i.e. political ties) on trade credit. The proposed hypotheses were empirically tested by a fixed effects model using secondary data from 2,433 listed firms in China.

The results show that a buyer firm's market share promotes trade credit but this effect is weakened by supplier concentration. Moreover, the buyer's political ties enhance the impact of market share on trade credit and attenuate the negative moderating effect of supplier concentration.

This study contributes to the trade credit and supply chain power literature by identifying the interactive effects of market share, supplier concentration and political ties in trade credit. It advances our understanding of how trade credit is jointly determined by a variety of factors in emerging economies.

Either buying or making is predicted by the existing literature for firms to reduce dependence. However, firms in the rapid globalization are found to adopt a pattern of buying and making. Specially, they critically rely on foreign firms for needed materials and goods, and invest in innovation against the uncertainty of potential supply disruptions simultaneously. Therefore, this paper seeks to investigate how the depth and width of supplier globalization shape firm innovation together. Moreover, the moderating effects of institutional distance and market competition are also examined in the paper.

Grounded on the resource dependence theory, this paper develops a theoretical framework and tests the proposed hypotheses by Poisson model using secondary data from 502 Chinese listed firms with foreign suppliers.

The depth of supplier globalization has a positive impact on firm innovation, while the width of supplier globalization weakens firm innovation. The depth and width of supplier globalization further interact negatively to influence firm innovation. Moreover, this relationship is enhanced when firms establish relationships with foreign firms with greater institutional distance and is weakened when firms face fiercer product competition.

The authors contribute to the literature by evidencing that the existence of foreign suppliers results in firms' enhancement of innovation to secure their operations and showing that diversifying the country origins of foreign suppliers is an effective means to reduce firms' uncertainty about supply disruption. We also advance the understanding regarding the contextual factors in which firms are more likely or less likely to manage the uncertainty about supplier globalization.

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

This research investigates whether focal firms employ strategic supply chain information disclosure, focusing on the concealment of supplier and customer identities, as part of their supply chain environmental risk management strategies (supplier sustainability risk and customer loss risk, respectively).

Using a panel dataset of Chinese listed firms from 2009 to 2019 and utilizing the suppliers’ environmental punishment of peer firms (peer events) as an exogenous shock and employing ordinary least squares (OLS) estimation, this study conducts a regression analysis to test how focal firms disclose the identities of their suppliers and customers.

Our results indicate that focal firms prefer to hide the identities of their suppliers and customers following the environmental punishment of peer firms’ suppliers. In addition, supplier concentration weakens the effect of withholding supplier identities, whereas customer concentration strengthens the effect of hiding customer identities. Mechanism analysis shows that firms hide supplier identities to avoid their reputation being affected and hide customer identities to prevent the deterioration of customers’ reputations and thus impact their market share.

Our study reveals that reputation spillover is another crucial factor in supply chain transparency. It is also pioneering in applying the anonymity theory to explain focal firms’ information disclosure strategy in supply chains.

This study aims to investigate the environmental effects of climate financial fragmentation in the form of emerging multilateral institutions.

Among the countries that have economic relations with China, those involved in climate finance cooperation are taken as the experimental group, and those not involved in other areas are taken as a control group. Using system generalized method of moments regression, the difference-in-differences method is used to test the environmental effects of climate finance cooperation of emerging multilateral institutions. In this way, this study explores the financial and trade mechanisms of cooperation among emerging multilateral institutions.

The results of this empirical study show that the cooperation of emerging multilateral institutions has a positive impact on the environment. Research results further reveal the financial and trade mechanisms of climate finance cooperation projects. When the invested countries are more likely to obtain international capital, environmental effects will be greater. However, trade intimacy could inhibit the improved environmental effects.

This research is one of the few studies to test the environmental effects of climate financial fragmentation empirically. This study provides a better understanding of the multilateral cooperation of emerging economic entities and China’s climate finance policy, thus providing evidence for the collaborative governance of global climate finance.

China is the only major economy in the world that has achieved positive gross domestic product (GDP) growth in 2020. The paper aims to explore the effect of China's public policy restarting supply and consumption after coronavirus disease-2019 (COVID-19).

Affected by the epidemic, global economic growth slowed down. Using the stock price data of Chinese A-share listed company, combining natural experiment and event study method, the paper examines the policy effects of work resumption and consumer vouchers.

Compared with demand capacity, the work resumption has a more significant role in promoting the supply industry. Issuing consumer vouchers can effectively promote local demand recovery, and the effect is mainly concentrated in the industries involved in consumption vouchers. At the same time, public management capacity and the income level of residents play an important role in restarting supply and demand.

Understanding China's public policies and effects are of positive significance to the restoration of economic development in other countries.

The study contributes to knowledge by empirically examining the effect of China's public policies against the COVID-19 pandemic. The paper also expands the scope of policy-oriented research based on the perspective of supply and demand capacity building.

This chapter presents the survey of selected linear and mixed integer programming multi-objective portfolio optimization. The definitions of selected percentile risk measures are presented. Some contrasts and similarities of the different types of portfolio formulations are drawn out. The survey of multi-criteria methods devoted to portfolio optimization such as weighting approach, lexicographic approach, and reference point method is also presented. This survey presents the nature of the multi-objective portfolio problems focuses on a compromise between the construction of objectives, constraints, and decision variables in a portfolio and the problem complexity of the implemented mathematical models. There is always a trade-off between computational time and the size of an input data, as well as the type of mathematical programming formulation with linear and/or mixed integer variables.

This study aims to investigate the two-dimensional magnetohydrodynamic flow and heat transfer of a fractional Maxwell nanofluid between inclined cylinders with variable thickness. Considering the cylindrical coordinate system, the constitutive relation of the fractional viscoelastic fluid and the fractional dual-phase-lag (DPL) heat conduction model, the boundary layer governing equations are first formulated and derived.

The newly developed finite difference scheme combined with the L1 algorithm is used to numerically solve nonlinear fractional differential equations. Furthermore, the effectiveness of the algorithm is verified by a numerical example.

Based on numerical analysis, the effects of parameters on velocity and temperature are revealed. Specifically, the velocity decreases with the increase of the fractional derivative parameter α owing to memory characteristics. The temperature increase with the increase of fractional derivative parameter ß due to a decrease in thermal resistance. From a physical perspective, the phase lag of the heat flux vector and temperature gradients τ_q and τ_T exhibit opposite trends to the temperature. The ratio τ_T/τ_q plays an important role in controlling different heat conduction behaviors. Increasing the inclination angle θ, the types and volume fractions of nanoparticles Φ can increase velocity and temperature, respectively.

Fractional Maxwell nanofluid flows from a fixed-thickness pipe to an inclined variable-thickness pipe, and the fractional DPL heat conduction model based on materials is considered, which provides a basis for the safe and efficient transportation of high-viscosity and condensable fluids in industrial production.

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely fragmented production processes also render workers in and from developing countries vulnerable to labour exploitation. This research adopts a benchmark methodology that will help examine the inherent modern slavery challenges.

This study examines how the benchmark model, including governance, risk assessment, purchasing practice, recruitment and remedy of victims, addresses supply chain modern slavery challenges. The proposed hypotheses are tested based on the reoccurring issues of modern slavery in global supply chains.

Estimations suggest that modern slavery is a growing and increasingly prominent international problem, indicating that it is the second largest and fastest growing criminal enterprise worldwide except for narcotics trafficking. These social issues in global supply chains have drawn attention to the importance of verifying, monitoring and mapping supply chains, especially in lengthy and complex supply chains. However, the advent of digital technologies and benchmarking methodologies has become one of the existing key performance indicators (KPIs) for measuring the effectiveness of modern slavery initiatives in supply chains.

This review provides an understanding of the current situation of global supply chains concerning the growing social issue of modern slavery. However, this includes various individual specialities relating to global supply chains, modern slavery, socially sustainable supply chain management (SCM), logistic social responsibility, corporate social responsibility and digitalisation. Furthermore, the review provided important implications for researchers examining the activities on benchmarking the effectiveness of the existing initiatives to prevent modern slavery in the supply chains.

Over the past two decades, China’s stock market has experienced rapid growth. This period has seen the transplantation of many “OECD principles of corporate governance” into the Chinese corporate regulatory framework. These regulations are dominated by shareholder values. This paper aims to discover whether there is a causal relationship between the changes in China’s corporate governance and financial market growth.

This paper uses data from 1995-2014 to create a robust corporate index by looking at 52 variables and a financial index out of five financial market parameters. Subsequently, data are subject to a panel regression analysis, with the financial market index as the outcome variable, corporate governance index explanatory variable and a variety of economics, social and technological control variables.

This paper concludes that changes in corporate regulation have in fact had no statistically significant impact on China’s financial market growth, which must therefore be attributed to other factors.

The study is the first in the context of Chinese corporate governance impact studies to use Bayesian methodology to analyse a panel dataset. It uses OECD principles as the anchor to provide a clear picture of evolution of corporate governance for a 20-year period which is also longer than previous studies.