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This study aims to examine the joint impact of the COVID-19 pandemic and the government response on the performance of Islamic and conventional banks.

Data were collected from a sample of 94 conventional and 14 Islamic banks in Indonesia from March 2020 to September 2021. The system generalized methods of moments estimation is used to analyze the data.

This study finds robust results regarding the negative impact of the COVID-19 pandemic and the positive effects of government responses to COVID-19 pandemic on bank performance in Indonesian banking. Moreover, in line with the rise in confirmed COVID-19 cases, a higher government policy responses index improves bank performance, both in conventional and Islamic banks.

This paper highlights the importance of the government policy responses index to absorb the negative impact of the COVID-19 outbreak on banking performance.

This paper provides novel insights into the joint impact of the COVID-19 pandemic and government responses to COVID-19 pandemic on bank performance between conventional and Islamic banks.

The idea of this study is to provide a solid Financial Condition Index (FCI) that allows the monetary transmission policy to be monitored in a country which in recent decades has suffered from major financial and monetary crises.

The authors construct three FCIs for Mexico to analyse the role of financial asset prices in formulating monetary policy under an inflation-targeting regime. Using monthly data from 1995 to 2017, the authors estimate FCIs with two different methodologies and build the index by taking into account the mechanism of transmission of monetary policy and incorporating the most relevant financial variables.

This study’s results show that, likewise for developing countries as Mexico, an FCI could be a useful tool for managing monetary policy in reducing macroeconomic fluctuations.

Apart from building a predictor of possible financial stress, the authors construct an FCI for a central bank that pursues inflation targeting and to analyse the role of financial asset prices in formulating monetary policy.

1. We construct three FCIs for Mexico to analyse the role of financial asset prices in formulating monetary policy under an inflation-targeting regime.

2. The FCIs are based on (1) a vector autoregression model (VAR); (2) an autoregressive distributed lag model (ARDL) and (3) a factor-augmented vector autoregression model (FAVAR).

3. FCI could become a new target for monetary policy within a hybrid inflation-targeting framework.

4. FCI could be a good tool for managing monetary policy in developing countries with a low-inflation environment.

We construct three FCIs for Mexico to analyse the role of financial asset prices in formulating monetary policy under an inflation-targeting regime.

The FCIs are based on (1) a vector autoregression model (VAR); (2) an autoregressive distributed lag model (ARDL) and (3) a factor-augmented vector autoregression model (FAVAR).

FCI could become a new target for monetary policy within a hybrid inflation-targeting framework.

FCI could be a good tool for managing monetary policy in developing countries with a low-inflation environment.

This paper investigates the joint impact of COVID-19, alliances and digital strategies on bank lending. Additionally, this study examines whether the effect of COVID-19, alliances and digital strategies on bank loans depends on the types of banks.

Using a sample of 92 commercial banks in Indonesia from March 2020 to September 2021, a fixed-effects model (FEM) was used to analyze data.

This study provides robust results regarding the negative impact of the COVID-19 pandemic on bank loans in Indonesian banking. Furthermore, it reveals that collaboration between banks and FinTech does not substantially influence bank lending, despite the rise in proven cases tending to reduce credit expansion. It emphasizes the importance of the development of mobile banking as part of digitalization in boosting loan bank expansion, and this finding is more noticeable in private and small banks.

This study highlights some policy recommendations to improve bank lending during the COVID-19 period, particularly the role of new alliances and digital strategy in involving COVID-19 pandemic mitigation within a novel financial ecosystem.

This study offers a significant contribution to the empirical literature that specifically explores the joint impact of the COVID-19 pandemic, alliances and digital strategies on bank lending in banking.

This study aims to investigate the market reaction to the Russian invasion of Ukraine, specifically in the banking sector.

The research uses an event study and cross-sectional analysis, with market reaction measured by cumulative abnormal return (CAR). The sample comprised 1,126 banks.

The results show that the market reacted negatively to the invasion both before and after its announcement. Developed and emerging markets saw a negative impact from the invasion, while frontier markets experienced only a slight impact. The authors also find that the banking markets of North Atlantic Treaty Organization (NATO) members reacted significantly and negatively both before and after the invasion was announced. This demonstrates that the negative market reaction of NATO members was more impactful than that of other markets. Overall, this study shows that investors in the banking market are very sensitive to war.

This is the first study to provide international evidence, specifically on the banking sector's reaction during the Russian invasion of Ukraine.

This paper develops a debt-run model to study the effects of liquidity injections on debt markets in the presence of a renegotiation option. In the model, creditors decide when to withdraw their funding and equityholders can renegotiate the contract terms of debt. We show that when equityholders have a large bargaining power, liquidity injections into distressed firms can rather cause more aggressive runs from their creditors, hurting the debt value. This outcome occurs because equityholders can strategically utilize the renegotiation option as a bankruptcy threat, pushing down the debt value below the potential liquidation value of the firm. In such a scenario, a deterred default resulting from emergency capital injections could be detrimental to creditors.

State-owned enterprises’ (SOEs) goals are perceived as two-sided blades, providing goods or services to the public on one side and escalating the government’s wealth on the other side. Treating the SOEs, government encounters the problem of injection strategy or privatize them. At the same time, managers have the option to formulate the SOEs strategy to boost performance. By using Miles and Snow’s typology strategy and the above factors, this paper investigates those impacts on Indonesia’s SOEs’ performance. This study aims to propose strategic typology as the main predictor with other variables such as the size, ownership structure, market competitiveness and capital subsidy on SOEs.

The study uses archived SOEs’ financial data from 2014 to 2018 to predict the financial performance using ordinal logistic regression analysis. The additional factors, such as firm size, ownership structure, market concentration and capital subsidy, are incorporated.

The result demonstrates that SOEs strategic typology, market concentration, size, ownership structure and capital subsidy significantly affect Indonesia’s SOEs’ performance.

To the best of the authors’ knowledge, this paper is the first elaborating government policies for SOEs, such as capital subsidy and state ownership, on the perspective of Miles and Snow’s strategy-performance relationship. Correspondingly, the paper contributes to examine the Indonesian characteristic SOE type with the performance. No single study has previously explored this relationship in the context of SOE in Indonesia.

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 case is mainly about the development journey of Tujia, a unicorn in China's accommodations-sharing sector, as well as the development status of the sector. On December 1, 2011, Tujia.com—China's first medium- and high-end vacation apartment booking platform—was formally launched, and it announced the first round of capital injection in less than half a year after its launch. It completed D and D+ round of financing on August 3, 2015, securing $300 million with an estimated value exceeding $1 billion. The completion of this financing round meant that Tujia formally entered the $1 billion club composed of “unicorn” Internet companies. In June 2016, it announced the strategic M&A of Mayi; in October 2016, it announced its strategic agreement with Ctrip.com and Qunar.com for the M&A of their apartment and homestay businesses. The completion of these transactions manifested the matrix with the four major platforms Tujia, Mayi, Ctrip, and Qunar. Since then, Tujia has become the absolute pacesetter in China's online accommodations-sharing sector.

Despite the widespread study and application of public-private partnerships (PPPs) since the 1980s, the field lacks a universally accepted definition that captures the concept's complexity. This study aims to offer a definition and foster a more substantive and comprehensive discourse on PPPs to improve communication and understanding between academics and practitioners from diverse disciplines and legislative backgrounds.

Grounded in the family-resemblance concept proposed by German philosopher Ludwig Wittgenstein, this study conducts a comprehensive literature review to identify core and non-core elements frequently cited in PPP descriptions. The authors used these findings to develop the PPP sunflower model as a structured framework for defining PPPs.

The analysis elucidates six core elements consistently present in PPP descriptions: clarity of roles and responsibilities, appropriate risk allocation and sharing, injection of expertise and resources, cooperation and teamwork, a bundle of services, and long-term contracts. Coupled with identified non-core elements, these core components comprise the PPP sunflower model, a structured framework for defining PPPs that accommodates their multi-faceted nature.

The PPP sunflower model distinguishes itself as a unique contribution to the PPP literature. It offers a rigorous theoretical framework that can elucidate the complexity of PPPs for various stakeholders. The model serves as a practical tool for evaluating the authenticity and viability of PPP projects. The study's novelty lies in its adoption of the family-resemblance concept, thereby providing a comprehensive, multi-dimensional framework that enhances the understanding of PPPs across different disciplines and legislative contexts.