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Despite being a global public–private partnerships (PPPs) leader, the Asian region is characterised by a wide PPP-divide, wherein select countries attract majority of PPP projects, while other countries fail to attract the requisite PPP investments. Against this background, the purpose of this study is to investigate the determinants of PPP projects in Asia.

Using quantitative methods on secondary data, this study analyses the macroeconomic determinants of value and number of PPPs in Asia for the period 2010–2019. The methodology relies on panel fixed effects, random effects, two-step system generalised method of moments and negative binomial regression.

Results underline the importance of the country’s experience with PPPs, physical infrastructure, financial sector development, market conditions, institutional quality and political stability in attracting PPP projects.

Identification of the determinants of PPPs will assist private investors in making informed decisions related to the selection of countries for PPP investments, thereby increasing the likelihood of a project’s success.

The results are expected to enable countries to formulate policies aimed at attracting higher PPP investments, thereby propelling economic development and improvement in the quality of life.

To the best of the authors’ knowledge, this is the first such study that comprehensively analyses the determinants of both value of PPP investments and number of PPP projects for Asian countries.

Despite being a global public–private partnerships (PPPs) leader, India faces a vast PPP divide at a sub-national level, wherein a few states receive the majority of PPP projects, whereas other states face severe issues in attracting PPP investments. This necessitates the identification of factors that make some states attractive to PPP investors. The purpose of this study is to construct a “PPP readiness index” at the Indian state-level, which aims to assess the readiness of states for the diffusion of PPPs.

Using a quantitative method on secondary data, the study scores 17 Indian states on dimensions such as experience with PPPs, physical infrastructure, financial sector development, market conditions, institutional quality and political stability and fiscal constraints for each of the years during 2009–2018. Principal component analysis is used for assigning weights to the dimensions, thereby arriving at the composite index.

Results highlight that Tamil Nadu and Maharashtra offer the most favorable environment for PPPs to flourish. In contrast, Jharkhand and Bihar are laggards because they score the least and have limited PPP experience.

The index will assist the private sector in conducting a comparative analysis between state-specific PPP arrangements, thereby enabling them to make informed decisions prior to forging PPP arrangements. Further, the index will help the state governments in improving their PPP readiness by following the policies of the leading states.

Improvement in PPP readiness of the states will enable higher PPP investments in infrastructure, thereby reducing infrastructure deficits. This, in turn, will lead to economic growth, development and an improvement in the quality of life.

To the best of the authors’ knowledge, this is the first study that comprehensively analyzes the PPP readiness at a sub-national level in India.

In view of the significance of public–private partnerships (PPPs) as a tool for bridging infrastructure deficits, it becomes imperative to study its determinants. The objective of this paper is to empirically study the determinants of PPPs in India at a subnational level, in terms of both number and value of PPP projects.

This study investigates the determinants of value and number of Indian PPPs at a subnational level for the period 2008–2017. The determinants are analyzed using two-step system generalized method of moments (GMM) and negative binomial regression. Select correlates examined are market size, fiscal compulsions, institutional quality, financial sector development and physical infrastructure.

The results indicate that fiscal compulsions, financial sector development and physical infrastructure influence PPPs favorably, whereas low institutional quality impacts PPPs adversely. A pertinent finding of this study is that the past value of PPPs lowers the current year's PPP value.

The findings are expected to assist subnational governments and policymakers in formulating policies that attract more PPP projects (in terms of both value and number).

This is the first study that analyzes the determinants of infrastructure PPPs at a subnational level in India.

With a population of 472 million, Generation Z in India is the largest in the world. This chapter studies the demographic breakdown of the members of Generation Z, their political and social concerns, their career aspirations, their workplace preferences, and the changing consumer attributes. The research design for this study incorporated a qualitative approach comprising of four focus group discussions (see Appendix). Members of Generation Z in India show common behaviours and preferences with their counterparts around the world. However, members of Generation Z in India have clear opinions and ideas of how youth can contribute to a developing nation like India.

As concerns about global warming and environmental degradation have intensified, researchers are trying to create a deeper understanding of country-specific factors that affect environment so that economic growth can be simultaneously achieved. Recently, private equity (PE) has emerged as a significant form of corporate investment worldwide, compelled to reconcile their financial objectives along with the burgeoning demand for sustainable investment practices. However, the nexus between environmental degradation and PE investment at the country level is yet to be explored.

The study uses annual data for 78 developed countries from 2002 to 2020 and 107 developing countries, which have been divided into 54 lower-middle-income and 53 upper-middle-income countries, to explore the relationship between carbon emission, economic growth and PE investment within an energy growth and Environmental Kuznets curve (EKC) framework.

The study finds the existence of the EKC hypothesis for developed, upper-middle-income developing and lower-middle-income developing countries. PE investment reduces environmental degradation by providing investments in cleaner technologies, energy-efficient sources and renewable investments. Better human development index (HDI) reduces carbon emissions, as more education and knowledge involve an understanding of environmental protection. Increased climate risk index increases carbon emissions, and therefore, the study provides insights for policymakers and government to enhance PE investments within a country, which will eventually lead to development of sustainable business practices.

The study is the first of its kind to look into the impact of PE as a source of investment on environmental degradation, incorporating economic growth and environmental, social and governance (ESG) factors.

Large-scale industrialization, growth and development have come at the cost of severe environmental degradation, primarily measured in terms of carbon dioxide emissions. Apart from the several measures taken to reduce enviornmental degradation, provision of private capital is a necessity apart from the public capital. There is a debate on impact of carbon dioxide emissions with increase in affluence, technology, population and renewable energy. The purpose of the study is to look into the role of private equity investment on renewable energy and technological patents.

The study extends the use of stochastic impact by regression on population, affluence and technology model to include another factor for investments and capital, i.e. private equity along with renewable energy, population, technology and GDP growth on carbon emissions for the BRICS countries. The time period for the study is from 2002 to 2021, and the relationship between the variables has been tested using pooled mean group/autoregressive distributed lag, fully modified ordinary least squares and panel quantile regression.

First, the results depict a log-run relationship between the variables across the panel using cointegration. Private equity investments do not have a significant impact on carbon emissions. The study proposes important policy implications. There are two schools of thought on the impact of private equity on carbon emissions. For example, inherently private equity investments come with higher stakes and a shorter holding period because of which their primary focus remains on having higher returns instead of responsible investing. However, as private equity adds up to capital, which leads to an increase in productivity and eventually higher economic growth, this could affect carbon emissions. This study supports the first thought. Additionally, renewable energy also affects carbon emissions positively. The policymakers should look into the role and intent of the private equity investors in green investments and invest in technologies and patents that can lead to energy consumption.

The paper is the first of its kind, to the best of the authors’ knowledge, to look into the impact of private equity on renewable energy and technological patents.

The outbreak of the coronavirus disease 2019 (COVID-19) pandemic is an unprecedented shock to the BRICS (Brazil, Russia, India, China, South Africa) economy and their financial markets have plummeted significantly due to it. This paper adds to the recent literature on contagion due to spillover by uniquely examining the presence of pairwise contagion or volatility transmissions in stock markets returns of India, Brazil, Russia, China and USA prior to and during COVID-19 pandemic period.

In this study, the generalised autoregressive conditional heteroskedasticity (GARCH) by Bollerslev (1986) under diagonal parameterization is used to estimate multivariate GARCH framework also known as BEKK (Baba EngleKraft and Kroner) model on stock market returns of BRIC nations and the US.

The empirical results show that the model captures the volatility spillovers and display statistical significance for own past mean and volatility with both short- and long-run persistence effects. Own volatility spillovers (Heatwave phenomenon) have been found to be highest for the US, China and Brazil compared to Russia and India. The coefficients indicate persistence of volatility for each country in terms of its own past errors. The highest and long-term spillover effect is found between US and Russia. The results recommend that Russia is least vulnerable to outside shocks. Finally after examining the pairwise results, it is suggested that the BRIC countries stock indices have exhibited volatility spillover due to the COVID-19 pandemic.

The study may be extended to include other emerging market economies under a dynamic framework.

Researchers and policymakers may draw useful insights on cross-market interdependencies regarding the spillovers in BRIC countries' stock markets. It also helps design international portfolio diversification strategies and in constructing optimal portfolios during COVID and in a post-COVID world.

COVID-19 has been an improbable event in the history of the world which can have a large impact on the financial economies across the emerging countries. This event can be deemed to be informative enough to measure the co-movements of the equity markets amongst cross-country return series, which has not been investigated so far for BRIC nations.

This paper examines and empirically validates the artificial intelligence-enabled human resource management (AI-enabled HRM) dimensions and sustainable organisational performance (SOP) relationship. It also examines the mediation and moderation of employee engagement (EE) and fusion skills (FS).

The indirect effects of AI-enabled HRM dimensions on SOP were found using structural equation modelling (SEM), bootstrapping and FS’s moderation effect by AMOS 22.

Results showed that AI-enabled HRM dimensions indirectly affected SOP through EE as a full and partial mediator with no moderation effects of FS.

This is the first study to link AI-enabled HRM dimensions, EE and SOP and determine how FS moderates EE and SOP.

The study aims to examine the conceptualization of online abuse (OA) and identifies theories, countries of research, top-cited articles, methodologies, antecedents, mediators, outcomes and moderators of OA and future research opportunities. Two research questions are addressed. How have the past studies on OA progressed regarding theories, context, characteristics and methodology? What future research opportunities can be done in this area?

This study systematically reviews, synthesizes and integrates OA literature using the well-recommended preferred reporting items for systematic reviews and meta-analyses (PRISMA) rules. The literature on OA was synthesized based on the Theory–Context–Characteristics–Methodologies (TCCM) framework given by Paul and Rosado-Serrano.

Through an examination of TCCM used in OA research, the review presents an all-inclusive and up-to-date overview of the research in this arena and sets a future research agenda to spur scholarly research. This systematic literature review has analyzed top-quality sample papers, published in the past decade. As a result, it contributes to a better understanding of this relationship by analyzing the different types of use and the value added to the shopping experience.

This study provides groundwork for researchers and promotes a deeper understanding of OA.

The purpose of this paper is to demonstrate the role of livelihood assets, strategies and local social networks in disaster response and recovery in post-disaster setting of 2013 Kedarnath disaster (India).

It identifies post disaster macro-spaces of Mandakini river valley (India) using change detection analysis and secondary data. Within these macro-spaces, the micro spaces of livelihood and social capital were assessed by selecting two villages for case study.

Most important issues faced by communities were loss of lives, livelihoods and access to relief aid. A shift in economic base of families suffering loss of livelihoods was observed as they switched from pilgrimage-based to skill-based opportunities. Geographical location and isolation play a crucial role in recovery trajectory of villages by influencing the social capital.

The paper being case study based deals two of the worst-affected villages; livelihood strategies adopted and social network may be influenced by the “victim” status of villages and may not be generalized for each disaster-affected area.

Bridging and bonding networks were significant in geographically isolated places, while “linkages” were beneficial in bringing new livelihood opportunities. Need to enhance the role of social capital by institutional intervention in form of capacity building was required.

The study suggests focus on human capital-based livelihood diversification programs taking geographical location and disaster context into account.