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Corporate social responsibility (CSR) was mandated and institutionalised in India through the Companies Act (2013), a decade ago. It is critical to understand the priorities of the models used by the companies to effectuate their CSR policy. This paper aims to understand the skewing of interest towards Education and Health interventions. The paper then proposes a framework to cross-level and effectuate CSR programme implementation.

The qualitative study conducted in-depth interviews of the stakeholders from the CSR environment. The findings are used to derive a model to effectuate CSR in India.

The findings may be divided into two sub-themes – (a) observations from the field study and (b) integrated solution ecosystem (ISE) framework. The qualitative study and the insights form the first component. The proposed framework which can enhance the efficiency of CSR practices may be found in the second sub-theme.

Operationalisation of the proposed model, if adopted would require integrated efforts from multiple functional departments which could lead to an extended timeframe for implementation. This may eventually lead to a need to revise the model in the making. The research could also include perspectives from governmental stakeholders which is missing here.

The emerging model can present an opportunity for corporates and policymakers to revisit the CSR structure and frameworks. It can also be used to evaluate and audit the CSR practices of companies.

The ISE posits a bunch of actionable themes which can deliver an impactful transition from the existing approach to CSR to a more far reaching one. While the ground rules are revisited, the approach also allows a critical departure from a corporate-driven model of engagement with the community. The modifications or corrections in this model would also mean a more inclusive layering of developmental interventions. The diversity which could potentially be brought in to designing interventions can be another key impact.

This paper presents insights for some of the pivotal stakeholders of CSR in countries like India. It presents a possible model of effective and optimal utilisation of CSR spending.

This study aims to estimate the synergy effect of agricultural dual-scale management (ADM) on farmers' total household income, its heterogeneous effects and its mechanisms.

This study constructs a theoretical analysis framework based on the division of labor and synergy theory, empirically assesses the impact of ADM on farmers' income, and further discusses the heterogeneity and mechanisms using the propensity score matching (PSM) and quantile treatment effect (QTE) models. Data is collected from 1,076 households across 4 cities in Liaoning Province of China in 2021.

ADM can improve the total household income of farmers, and the impact force is greater than that of the single-scale management mode. ADM is more conducive to improving the income of farmers with low income and low labor endowment. Moreover, ADM can improve agriculture production efficiency, increase net grain production income. Nevertheless, it has no significant effect on farmers' off-farm employment income.

Previous studies have mainly focused on the income effect of land scale management or service scale management. To the best of our knowledge, this study is the first to identify the synergy effect of ADM on farmers' income in China. It provides new insights into the process of agricultural production and management mode transitions in rural China.

The COVID-19 has affected millions of people across the world and worsened the socio-economic conditions that have sound reasons to discuss about the impact of COVID-19 on the progress of achieving the target level of sustainable development. The stagflation due to COVID-19 has a possibility to push a large section of population back under the critical level of income. The economic restriction and lockdown has impacted on the supply of food and essential requirements for decent living. The health services and education have been jeopardised. So the possible impact to achieving the Sustainable Development Goals of no poverty (SDG1), zero hunger (SDG2), good health and wellbeing (SDG3), education (SDG4), decent work and economic growth (SDG8), income inequality (SDG10) are examined in this chapter. This chapter also discusses about the proper implementation and stress on SDGs as the possible instruments on the way out of recession. Difference-in-difference analysis is used to explain the impact of COVID-19 with the data in global context in respect of before COVID and after COVID.

Purpose: The purpose of this study is to identify the elements that can enhance financial inclusion (FI) in a nation, which in turn promotes economic development and growth.

Need for the Study: FI is crucial in providing people with the skills and resources to manage their money effectively and make informed financial decisions. Accessible, reliable and secure financial services play a significant role in achieving sustainable development goals (SDGs) and fostering economic progress.

Methodology: Data from 571 respondents were collected for analysis. The study utilises Statistical Package for Social Sciences SPSS and Analysis of Moment Structures AMOS software to analyse data and achieve the study’s objectives. The researchers employ these tools to obtain substantial results.

Findings: The findings indicate that FI contributes to economic growth (84%) and helps in accomplishing SDGs. Access, usage, affordability, technology, availability and technology adoption all play a vital role in increasing FI in the nation.

Practical Implications: The study’s outcomes have practical implications for policymakers and stakeholders, emphasising the importance of promoting FI through various measures such as enhancing access, affordability and technological advancements in financial services.

Institute for Economics and Peace (IEP) every year produces peace setting scores of many countries over the globe. The peace index score (PIS) and its ranking are fabricated by involvement of numerous recognised variables. The internal and external violence factors and their intensity regulate the strength of such scores. The present study deliberates such peace scores and rank of the countries in terms of regional variation and income class specifications. The study uses alteration of rank over three consecutive years and the growth of the PIS to elucidate the disparities over the region and income classification. The study recognised that income classification of countries smoothly elucidates the rank differences in terms of peace scores, but regional variation wise enlightenment remains misnomer. Further, this study contemplates four violence indicators and their growth over three years to describe the non-conformities of peace score between the countries. Studies acknowledged that inter-correlation between the peace growth scores and also between the growth of violence indicators is the significant factor to comprehend the peace score behaviour. Over the years, studies confirm that high-income countries are able to improve their PIS though there has large levels of inconsistency among countries. Among the regional specification, studies perceive that countries around the globe improved their peace score during 2018–2019, rather than 2019–2020.

Purpose: Seventeen sustainable development goals (SDGs) are included in the UN’s 2030 agenda of sustainable development that aims to provide a shared blueprint for sustainability and call for urgent action by all member countries. The study aims to study the role of tourism in delivering sustainable solutions for the planet.

Research Methodology: The present chapter compiles available studies on sustainable tourism and critically analyses sustainability principles and their relevance to SDGs.

Findings: The chapter comprehensively studies the SDGs – 8, 12, and 14 and reveals a strategic roadmap to achieve the SDGs through sustainable tourism practices. The observations may provide deep insights to the government and policymakers to prioritise actions in order to achieve the goals.

Research Limitations: Future research studies may be conducted to empirically verify the results from the perspective of different countries.

Practical Implications: According to United Nations (2023), ‘The tourism sector accounts for approximately 10% of the world’s GDP, about 30% of overall service exports across sectors, and provides for 1 out of 10 jobs globally’. Sustainable tourism has particularly been embraced as an important area under the 8th SDG of sustainable economic growth; in the 12th SDG of sustainable production and consumption and in the 14th SDG pertaining to sustainable use of oceans and marine resources, thus highlighting its importance.

Value: The chapter is a novel attempt to comprehensively analyse the role of sustainable tourism and the strategic roadmap for achieving the SDGs.

Nuclear energy investments contribute significantly to the energy independence of countries. This situation helps countries to develop both economically and socially. Therefore, countries need to develop strategies to increase their nuclear energy investments. However, radioactive waste generated in nuclear reactors is one of the most important disadvantages of this type of energy. Due to this situation, the wastes generated must be disposed of effectively for nuclear energy investments to be effective. In this study, it is aimed to create optimal strategies for the effective waste managements generated in nuclear power plants. Within this framework, four different balanced scorecard perspectives are considered as the criteria. In the analysis process, Analytical Hierarchy Process (AHP) methodology is taken into consideration. It is identified that learning and development is the most critical factor for the effective radioactive waste management created in nuclear power plants. On the other side, internal factors are the second most important criterion in this framework. Hence, it is understood that nuclear energy investors should give priority to the technological development for effective waste management in nuclear power plants. With the help of these technological improvements, the wastes can be disposed more successfully. As a result, environmental sustainability can be provided much easily.

This paper aims to investigate the impact of political stability on corruption by drawing upon a sample encompassing both developed and developing European and Asian countries.

The dataset, sourced from the Refinitiv database, spans from July 2014 to May 2022. Panel data techniques, specifically pooled estimation and dynamic panel data [generalized method of moments (GMM)] are employed. The analysis encompasses both fixed and random effects models to capture country-specific cross-sectional effects. To validate our findings, we perform a robustness test by including in the investigation four control variables, namely poverty, type of governance, economic freedom and inflation. To test heterogeneity, the dataset is further divided into two distinct subsamples based on the countries’ locations.

Empirical findings substantiate that political stability (viewed as the risk of government destabilization) has a positive and significant impact on corruption in all analyzed samples of European and Asian countries, though some differences are observed in various subsamples. When we take into account the control variables, these analysis results are robust.

This research provided a panel data analysis with GMM, while other empirical methodologies could also be used, like the difference-in-difference approach. However, our results should be validated by extending the time and the sample to a worldwide sample and using alternative measures of corruption and political stability. Moreover, our focus was on a linear and unidirectional relationship between the considered variables, but it would be interesting to test in our further research a non-linear and bidirectional correlation between them. Furthermore, we have introduced in the robustness test only four economic variables, but to consolidate our findings, we plan to include socioeconomic and demographic variables in future studies.

These outcomes imply that authorities should be aware of the necessity of implementing anti-corruption policies designed to establish effective agencies and enforcement structures for combating systemic corruption, to improve the political environment and the quality of institutions and to apply coherent economic strategies to accelerate economic growth because higher political stability and sustainable development determine a decrease in levels of corruption.

At the microeconomic level, the survival of organizations may be in danger from new types of corruption and money laundering. Therefore, in order to prevent financial harm, the top businesses worldwide should respond to instances of corruption through strengthened supervisory procedures. This calls for the creation of a mechanism inside the code of conduct where correct reporting of suspected situations of corruption would have a prompt procedure to be notified of. To avoid corruption in operational procedures, national plans and policies should be developed by government officials, executives and legislators on a national level, as well as by senior management and the board of directors on an organizational level. This might lower organizations' extra corruption-related expenses, assure economic growth and improve global welfare.

A novel feature of our research resides in its broad examination of a sizable sample of European and Asian countries regarding the nexus between corruption and political stability. The paper also investigates a less explored topic in economic literature, namely the impact of political stability on corruption. Furthermore, the study depicts policy recommendations, outlining effective and reasonable measures aimed at improving the political landscape and combating corruption.

The reality with many developing countries is that the countries have failed to create enough jobs for the poor and vulnerable. Under such circumstances, vulnerable employment plays a critical role in providing earning opportunities to people who are unemployed and determining the economic and social progress of such economies. The study aims to examine the possible non-linear relationship between vulnerable employment and growth in light of this background.

The study employed five-yearly averaged data of 73 developing countries for the period 2000–2019. The empirical analysis is performed using the dynamic panel data analysis and the two-step system generalised method of moments (GMM) approach. The estimations are run separately for male, female and total vulnerable employment. The threshold levels are obtained using Sasabuchi (1980) and Lind and Mehlum (2010) (SLM) test. Several sensitivity checks are performed to validate the results.

The findings of the study suggest a non-linear U-shaped relationship between vulnerable employment and growth. Thus, a positive association between vulnerable employment and growth is witnessed at higher levels of vulnerable employment. At lower levels, the relationship is negative. Threshold levels for male, female and total vulnerable employment are 46.80%, 49.29 and 50.94%, respectively. Therefore, vulnerable employment beyond the threshold levels is found to be positively associated with growth.

Countries below the threshold level of vulnerable employment should understand why these workers are not able to contribute to the growth despite working so hard. If any socio-economic barriers hinder their contribution towards growth, such barriers require greater policy attention. Countries with vulnerable employment levels above the threshold level should recognise the contributions of these workers towards the growth and actively support them in increasing their economic contribution. In either case, given the precarious circumstances under which these workers work and the pittance earnings, policy interventions aimed at ensuring decent working conditions and better earnings for these workers are encouraged.

The current study is the first one to examine the relationship between vulnerable employment and growth to the best of the author's knowledge. As such, it makes novel contributions to the literature on development policy.

This study empirically aims to examine the relationship between Bangladesh’s pharmaceutical industry growth and macroeconomic indicators such as the inflation rate, gross domestic product (GDP) growth, foreign direct investment (FDI) inflows, exchange rate and export growth through the long- and short-run relationship.

Using the time series data from 1986 to 2020, this study was developed based on the autoregressive distributed lag (ARDL) framework for co-integration. In contrast, the Toda–Yamamoto Granger Causality approach was also used for finding the direction of causality.

This study used the ARDL bounds test, which found strong co-integration among the variables, indicating a long-term relationship between them. In the long run, inflation, exchange rate and export growth significantly positively influence the pharmaceutical industry’s growth. Surprisingly, an FDI inflow has a negative impact. In the short term, the exchange rate and GDP growth were found to influence the growth of the pharmaceutical industry positively. Bidirectional causality between the growth of the pharmaceutical industry and the exchange rate was also identified using the Granger causality approach.

This paper emphasizes developing the policy as well as making concrete decisions regarding the development of the pharmaceutical industry and economic development in Bangladesh. The results also highlight the necessity for strategic macroeconomic management to support this sector’s long-term development and global competitiveness.

To the best of the authors’ knowledge, this paper is conducted to identify the short- and long-run relationship of pharmaceutical industry development with the economic indicators and progress, where no study has been found on this dimension.