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Introduction: Regional economies are significantly shaped by the new developments in technology, digital transformations, as well as by the demographic processes (the ageing population and international migration), all of these being amplified by the Covid-19 pandemics and requiring tailored strategies to bridge regional welfare gaps and enhance sustainable economic development.

Aim: This research provides a review of the interplay between the regional economic welfare and digitalisation, with a keen focus on digital transformations, education, digital skills and risk management strategies in filling development gaps and enhancing regional economic growth in a sustainable development framework, with a keen focus on Romania. In this approach, the study undertakes several essential research questions and designs an advanced theoretical and empirical research to inforce the knowledge in this scientific field.

Method: The methodological framework consists of robust regression models and spatial analysis with two types of spatial models, namely spatial lag-autoregressive and spatial error. National data compiled for Romania during the 2010–2019 lapse of time were exploited.

Findings: Main results encompass that digitalisation coordinates, education and digital skills are essential for enhancing the economic development and labour market performance of various regions in Romania, with beneficial spill-overs on sustainable economic welfare and poverty reduction. These advances bring to the fore important shifts in both demand and supply sides across regional economies that affect the equilibrium and overall performance, while public discourse, regulatory authorities, policy-makers and business representatives render global the keen need to strengthen the understandings in this scientific field.

The chapter aims to determine the need to form a new industrial core of the Russian industry, its content, problems, prospects and the objective prerequisites of its formation in modern conditions.

The development of prerequisites for the formation of a new industrial core of the Russian industry relies on the possibilities of the system paradigm, the theory of socio-economic transformation, the theory of technological modes, the theory of reproduction, the theory of modernization, the method of dialectics, empirical method and the method of analysis and synthesis.

The authors determine that the formation of a qualitatively new industrial core of the Russian industry corresponding to the new technological mode will ensure the integration of the Russian economy in the accelerating technological and socio-economic transformations.

The authors substantiate the demand for the formation of a new industrial core of the Russian industry. The problems associated with the destruction of the former industrial base during the economic transformation are established. Additionally, the authors determine the prospects for the formation of a new industrial core of the Russian industry on a qualitatively new technological basis.

This study aims to assess how corporate telecommunication (telecom) policies follow telecom sector regulation in mobile money innovation for financial inclusion in developing countries.

Telecom policies are understood in terms of mobile subscriptions, mobile connectivity coverage and mobile connectivity performance, whereas mobile money innovations represent mobile money accounts, the mobile used to send money and the mobile used to receive money. The empirical evidence is based on Tobit regressions.

Telecom sector regulation positively influences mobile money innovations. From net influences, mobile subscriptions and connectivity policies moderate telecom sector regulation to positively influence mobile money innovations, exclusively within the remit of mobile money accounts because the corresponding net influences on the mobile used to send money and the mobile used to receive money are negative. The interactive influences are consistently negative, and hence, thresholds for complementary policies are provided to maintain the positive influence of telecom sector regulation on mobile money innovations.

This study has complemented the extant literature by assessing how corporate telecommunication policies follow telecommunication sector regulation in mobile money innovations for financial inclusion.

While previous research has identified that environmental innovation is shaped by a variety of drivers, researchers have devoted limited attention to the role of nature-based resources in the country. Building on environmental innovation theory and the natural resource-based view of the firm, this study introduces ecological resource deficits as a novel driver of environmental innovation. The authors explore how ecological resource deficits interact with institutional and regulatory drivers as well as firm-level technology drivers to explain the extent of environmental innovation across different countries.

The authors apply fuzzy-set qualitative comparative analysis to a multi-source dataset to identify different pathways for environmental innovation across 28 countries.

Findings show that higher environmental innovation is a function of ecological resource deficits complemented by the presence of at least two other conditions. Moreover, the results show that environmental policy stringency and societal expectations are substitute conditions of environmental innovation.

This study reveals the interdependences between different conditions for environmental innovation across countries contributing to a more nuanced understanding of the geography of environmental innovation.

In this paper, the author examines how capital structure (relative to target) affects firm innovation.

The author uses cross-sectional OLS regressions (for each year of data) to determine whether a firm is above or below its target debt level (in that year) and then uses fixed effects OLS regressions with panel data to examine the impact of having leverage above or below the firm's target on its innovation activity.

The author shows that firms with below-target debt innovate more in terms of number of patents granted and have better quality innovations in terms of citation counts of patents and in terms of economic value of patents. The results hold for sample splits based on firm age, firm size and access to external finance. The author also shows that the findings are not driven by the negative correlation between leverage and innovation measures. Overall, the results indicate that it is not the actual level of leverage that impacts innovation; the relevant factor that impacts firm innovation is whether a firm is above or below its leverage target.

The author extends the literature on financing innovation by linking leverage target with firm innovation. Findings of this paper also provide supporting evidence that capital structure plays an important role on firm innovation and supplements prior literature that shows the importance of debt in financing firm innovation.

Although Agtech firms have promoted digital platforms for retailing farm supplies (RFS), farmers are sceptical while purchasing them online. As a result, they struggle to generate a sustained demand. Among other approaches, these platforms onboard complementors to become full-stack farming solution providers. Whether platform complementarity can induce farmers' trust remains ambiguous. Literature on network externality theory highlights that complementarity positively affects the perceived value for buyers. The sociotechnical systems literature indicates that perceived value is an antecedent of user trust. In this vein, the authors ask: Does perceived complementarity affect farmers' trust in the RFS platform? Alternatively, the Agtech firms augment the platform's look and feel to make the digital retail setting appear “normal” to farmers. The extant research on the social cognitive theory indicates that a retail setting conforming with the generalised expectancy of buyers harbours their trust. Against this backdrop, the authors ask whether situational normality affects farmers' trust in the RFS platform.

The study is based on a questionnaire survey of 212 Indian farmers using RFS platforms. The data were analysed using structural equation modelling (SEM) analysis.

This study establishes that platforms' complementarity and situational normality ameliorate farmer trust. The authors also identify the socioeconomic factors shaping the farmers' trust in platforms.

The present study has taken all RFS together as a single umbrella category, which can be considered a limitation. Also, the study is based on the cross-sectional survey of RFS platform users; the farmers' attitudes are dynamic in nature and evolve over time; however, the temporal factors shaping the farmer attitudes have not been considered in this study.

The study establishes the epistemological relationship between complementarity, situational normality and farmers' trust in agricultural platforms.

This paper aims to assess how entrepreneurship affects knowledge economy (KE) in Africa.

Entrepreneurship is measured by indicators of starting, doing and ending business. The four dimensions of the World Bank’s index of KE are used. Instrumental variable panel-fixed effects are applied on a sample of 53 African countries for the period of 1996-2010.

The following are some of the findings. First, creating an enabling environment for starting business can substantially boost most dimensions of KE. Second, doing business through mechanisms of trade globalization has positive effects from sectors that are not information and communication technology (ICT) and high-tech oriented. Third, the time required to end business has negative effects on KE.

The findings confirm the narrative that the technology in African countries at the moment may be more imitative and adaptive for reverse engineering in ICTs and high-tech products. Given the massive consumption of ICT and high-tech commodities in Africa, the continent has to start thinking of how to participate in the global value chain of producing what it consumes.

This paper has a twofold motivation. First, given the ambitions of African countries of moving towards knowledge-based economies, the line of inquiry is timely. Second, investigating the nexus may have substantial poverty mitigation and sustainable development implications. These entail, inter alia, the development of technology with value-added services; enhancement of existing agricultural practices; promotion of conditions that are essential for competitiveness; and adjustment to globalization challenges.

The purpose of this paper is to compare and contrast the international trade characteristics of commerce between Latin American countries and some of the top economies in the world, in order to identify new business opportunities for LATAM firms in dynamical external markets.

A triple indexed gravity model, correcting with robust standardized errors clustered, and a panel data analysis was used to obtain the relationship between Latin American countries and advanced and other emerging economies.

The main finding of this paper is that innovation overcomes gravity effects and parameters typical of a knowledge society are the significant ones to explain trade among different regions. The model that includes an innovation proxy accommodates with the new international theories of trade. Besides, communication capacity is essential to reach consumers abroad with newer and more complex products. Moreover, the constant is significant when innovation is included, which may imply intersectoral trade that behaves relatively stable in bilateral trade.

The findings suggest that the economies that have some relevance in trade, have increasing numbers regarding patents. Thus, the empirical findings relate to the theoretical models which state that comparative advantages may be dynamic due to technological innovation.

This paper shows that innovation is a central parameter to engage in intratrade and develop a knowledge-based economy. Latin America sometimes appears to be a puzzle as to how to improve its economic performance and overcome its social and economic problems. Intratrade seems to be the route to increase Latin American business participation in world trade.

El propósito de este documento es comparar y contrastar las características comerciales internacionales del comercio entre los países latinoamericanos y algunas de las principales economías del mundo, con el fin de identificar nuevas oportunidades de negocios para las empresas de LATAM en mercados externos dinámicos.

Se utilizó un modelo de gravedad triple indexado el que se corrigió con errores robustos estandarizados clusterizados, y un análisis de datos de panel para obtener la relación entre los países latinoamericanos y las economías avanzadas y otras economías emergentes.

Uno de los principales hallazgos es que la incorporación de la innovación en el modelo anula el efecto de las variables típicas asociadas a la gravedad. Por lo que se podría suponer que, los parámetros propios de una sociedad del conocimiento son más importantes para explicar el comercio entre las diferentes regiones. El modelo incluye un variable de innovación que se adapta a las nuevas teorías internacionales del comercio. Otro hallazgo es que la capacidad de comunicación es esencial para llegar a los consumidores en el extranjero con productos más nuevos y complejos. Por último, la constante es significativa cuando se incluye la innovación, lo que podría implicar un comercio intersectorial que se comporta relativamente estable en el comercio bilateral.

Los resultados sugieren que las economías que tienen cierta relevancia en el comercio poseen un número creciente de patentes. Por lo tanto, los hallazgos empíricos se relacionan con los modelos teóricos que establecen que las ventajas comparativas pueden ser dinámicas debido a la innovación tecnológica.

Este documento muestra que la innovación es un elemento central para participar en el comercio interno y desarrollar una economía basada en el conocimiento. América Latina a veces parece ser un enigma sobre cómo mejorar su desempeño económico y superar sus problemas sociales y económicos. El comercio intraindustrial parece ser la ruta para aumentar la participación empresarial de América Latina en el comercio mundial.

This paper aims to make an attempt to identify labour intensity of organized manufacturing industries in India using the Annual Survey of Industry (ASI) data at three-digit level. It estimates total factor productivity growth (TFPG) and technical efficiency for both labour intensive and all manufacturing industries during the pre- and post-reforms periods.

The study uses three approaches to estimate TFPG. They are growth accounting (GA) (non-parametric), production function with correction for endogeneity – Levinsohn-Petrin (LP) (semi-parametric) and stochastic production frontier (SPF) analysis (parametric). The study uses ASI data published by Central Statistical Organization, Government of India for the period 1980-1981 to 2007-2008 for the analysis.

The study finds that the rate of decline of the labour intensity is more pronounced in the case of labour-intensive industries than all the manufacturing industries. The results of GA method suggest that the TFPG of labour-intensive industries has declined continuously from the pre-reforms period to the post-reforms period. Similarly, LP method indicates a continuous decline in TFPG of labour-intensive manufacturing industries during the post-reforms period. Interestingly, the results of SPF method also corroborate the findings of earlier two methods at the aggregate level but vary at a certain degree at the disaggregated level.

This paper is useful in the context of India considering the importance given to labour-intensive industries by the present government in terms of reviving the sector and improving the productivity and output.

Emerging economy firms seek strategic assets through cross-border acquisitions (CBAs) to upgrade their capabilities. The paper explores the relation between emerging economy firms' investments in CBAs and subsequent investments in domestic R&D. It investigates the underlying mechanism that links a firm's decision to pursue CBAs and the outcomes from the CBAs. The main idea behind the study is that firms have higher possibility of creating value from cross-border acquisitions when they simultaneously invest in domestic R&D though both investments are constrained by financial and managerial resources.

The hypotheses are tested on a panel data set of 296 Indian firms over a period of 13 years (2003–2015). The authors use a two-stage Heckman procedure for testing their hypotheses. In the first stage, a probit model predicts the probability of a firm being a cross-border acquirer. The second stage model is estimated by a pooled-data GLS (generalized least squares) regression technique.

The authors find a nonlinear (inverted U-shaped) relationship between firm's investments in CBAs and domestic R&D. This suggests a complementary relation between investments in CBAs and a firm's domestic R&D at lower levels of investments in CBAs. At higher levels of investments in CBAs, CBA investments begin to substitute for firm's domestic R&D investments. For firms with higher international product-market experience and those operating in the hi-tech industry, the relationship between investments in CBAs and domestic R&D is complementary even at higher levels of CBA investments.

The study highlights the role of an emerging market firm's investment in domestic R&D as a link between the decision to invest in CBAs and related outcomes thereof. Emerging market firms face resource constraints while pursuing simultaneous investments in CBAs and R&D, but investment in R&D is essential for realizing the acquisition objectives. The authors also establish the significance of industry context and experiential learning in deciding the allocation of resources between CBAs and internal R&D.