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The purpose of this paper is to analyze the ongoing revival of industrial and innovation policies across developed and developing economies.

The paper compare the scale and scope of recent industrial and innovation policy initiatives across developed and developing economies. Also, it analyzes recent data regarding R&D investments and other innovation indicators.

There are enormous disparities across economies in their capacity to implement industrial policies, particularly those to support science, technology and innovation. Most developed economies, and a few developing economies, are implementing bold, ambitious and medium-term innovation policies towards bolstering R&D investments, supporting advanced manufacturing and green energies and strengthening technological capabilities. Amid lack of fiscal policy space and vulnerable debt sustainability positions, institutional deficiencies and weak innovation ecosystems, developing economies – particularly in Africa and Latin America – face enormous challenges to implement strategic industrial and innovation policies.

Under the current economic, financing and institutional conditions, together with subdued global trade and ongoing geopolitical fragmentation, the technological divide and innovation asymmetries across economies will likely widen even further, paving the ground for a “development divergence” in the coming decade.

The paper analyzes the implications of the current industrial and innovation policy trends across developed and developing countries. Under the current economic, financing and institutional conditions, together with subdued global trade and ongoing geopolitical fragmentation, the technological divide and innovation asymmetries across economies will likely widen even further, paving the ground for a “development divergence” in the coming decade.

Given the importance of green finance in a discussion of energy efficiency and clean energy, it is critical to evaluate its implications for the growth of renewable energy. This study examines the impact of green finance on renewable energy development in Singapore.

The dynamic ordinary least squares (DOLS) regression was used in this work to test such a connection.

Using the DOLS for the period 2000–2020, it was discovered that green finance aids renewable energy development in Singapore. Additionally, the findings revealed that economic growth, oil prices, energy consumption, carbon dioxide emissions and institutional factors are all positively associated with renewable energy growth, resulting in a boost in renewable energy development.

Hence, as a result, the monetary authorities of Singapore, such as financial institutions, non-governmental organisations and corporations, should prioritise renewable energy projects under green finance initiatives to boost renewable energy growth. This may assist in raising investment flows to green projects; hence, accelerating the adoption of renewable energy.

Increased Singapore's initiatives to accelerate green finance have prompted this study to examine the research question of whether green finance has a significant impact on renewable energy growth. Thus, to the best of the authors’ knowledge, this will be the first empirical study to explore the impact of green finance on renewable energy growth in the case of Singapore.

This chapter aims to improve the mechanisms of economic integration between Russia and Cuba. The methodology used by the author in this chapter is mainly composed of the method of historical-comparative, inductive, and analytical-synthetic analysis. The author used the existing information on the internet and other analyzed references. Additionally, the author qualitatively analyzed the opinions of various experts and drew conclusions. Regional integration is examined conceptually as a basis for a better understanding of integration processes. The research provides historical data after including Cuba in the Council for Mutual Economic Assistance (CMEA), considering this structure as the first one with characteristics of an economic integration structure. Next, the author considered the post-Soviet stage until the present. Statistical data according to the Observatory of Economic Complexity (OEC) summary are provided. These data correspond to the periods from 2018 to 2021 and show the statistics of exports, imports, and other important indicators between the two countries. Based on the analysis, it is necessary to update the integration mechanisms to reduce tariff rates, promote free trade between the two countries, and increase the participation of Russian companies in the Mariel Special Development Zone (ZED Mariel), Havana, Cuba.

The objective of this paper is to examine crop yield predictions and their implications on MPCI in Ghana. Farmers in developing countries struggle with their ability to deal with agricultural risks. Providing aid for farmers and their households remains instrumental in combatting poverty in Africa. Several studies have shown that correctly understanding and implementing risk management strategies will help in the poverty alleviation agenda.

This study examines the importance of crop yield distributions in Ghana and its implication on multiperil crop insurance (MPCI) rating using the Lasso regression model. A Bonferroni test was employed to test the independence of crop yields across the regions while the Kruskal-Wallis H test was conducted to examine statistical differences in mean yields of crops across the ten regions. The Bayesian information criteria and k-fold cross-validation methods are used to select an appropriate Lasso regression model for the prediction of crop yields. The study focuses on the variability of the threshold yields across regions based on the chosen model.

It is revealed that threshold yields differ significantly across the regions in the country. This implies that the payment of claims will not be evenly distributed across the regions, and hence regional disparities need to be considered when pricing MPCI products. In other words, policymakers may choose to assign respective weights across regions based on their threshold yields.

The primary limitation is the unavailability of regional climate data which could have helped in a better explanation of the variation across the regions.

This is the first study to examine the implications of regional crop yield variations on multiperil crop insurance rating in Ghana.

Working arrangements’ hybridity has become paramount, particularly after the coronavirus disease 2019 pandemic. A remote working environment has indubitable advantages (e.g. the ability to work from anywhere and at any time). However, such flexibility comes at the cost of being virtually always connected. This duality poses challenges for talent management (TM) in determining who can thrive under these specific conditions and how. This study explores how employees respond to this extended connectivity – namely, work connectivity behaviour after-hours (WCBA) – and its influence on proactive talent behaviour by constructing and testing a theoretical model that differentiates employees’ reactions to this condition.

This study collected data from 400 mainland Chinese employees using online and offline methods. Owing to the potentially varied effects of working in digital environments on employees, a dual mediation regression model was employed to test the hypotheses.

Remote and hybrid work and, specifically, the increased connectivity experienced by employees can be a “double-edged sword” in influencing their proactive behaviour (PB). While employees experience increased organisation-based self-esteem, which positively correlates with more intense PB, this prolonged exposure may also cause emotional exhaustion (EE), which has a negative correlation with PB. Jointly considering both mediation effects revealed that WCBA’s total effect on PB remained negative.

This study enriches the debate regarding the development of TM practices specifically designed for remote work. It recommends paying greater attention to how employees react to increased connectivity experienced in remote and hybrid working environments. Increased self-esteem or passive EE are possible elements for identifying employees’ talent potential. The separation between work and after-work is becoming blurred in the digital age, which reduces employees’ motivation and ability to exploit their inner talents. Therefore, organisations must find alternatives to preserve their talent pools. This study enriches theoretical research on WCBA, promoting an in-depth application of the theory of job-demand resources in the digital age.

Carbon management in the construction industry plays a vital role as carbon emissions have a significant impact on the environment. Current emphasis on reducing operational carbon through passive designs, zero carbon buildings and so forth has resulted in losing focus on embodied carbon (EC) reduction. Though there are various databases and tools to estimate EC in construction, these estimates are lacking in accuracy and consistency. A Blockchain-based Embodied Carbon (BEC) Estimator was developed as a solution to accurately estimate EC using a supply chain value addition concept as a methodology.

This study focused on developing, testing and validating the blockchain-based prototype system identified as BEC Estimator. The system was developed using Hyperledger Fabric following a waterfall model. Case studies and an expert forum were used to test and validate BEC Estimator.

The system architecture, development process and the user interface of BEC Estimator are presented in this paper. The comparative evaluation with existing EC databases/tools and the expert forum validated the functioning of BEC Estimator and proved it to be an accurate, secure and trustworthy EC estimating system. SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis identified the strengths and opportunities that will benefit the industry as well as the weaknesses and threats in the system that could be mitigated in future.

BEC Estimator accurately accounts for EC additions happening at each supply chain node for any product that gets incorporated in a building, thereby facilitating EC-related decision-making for all relevant stakeholders.