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This article provides a detailed investigation of how Lewis revisited classical and Marxian concepts such as productive/unproductive labor, economic surplus, subsistence wages, reserve army, and capital accumulation in his investigation of economic development. The Lewis 1954 development model is compared to other models advanced at the time by Harrod, Domar, Swan, Kaldor, Solow, von Neumann, Nurkse, Rosenstein-Rodan, Myint, and others. Lewis applied the notion of economic duality to open and closed economies.

To realise the shared development of the digital economy, people need to transcend the capital logic and advocate the logic of cooperative development, i.e. “co-construction, benefit-sharing and co-governance”. This study aims to discuss the aforementioned statement.

Platform economy is a new economic form produced by the transformation of the social production patterns in the era of digital capitalism. In the neo-imperialist stage, a new stage of capitalist development, capital logic promotes the global expansion of the platform economy and influences its development process, organisational form, contradictions and dilemmas and internal transcendence. Having the spatiotemporal chain of capital circulation repaired, the globalisation of the platform economy is reshaping how the means of production are combined with labour, affecting the local changes in the general relations of production and “international relations of production”.

In the accumulation of digital capitalism, the social contradictions and fundamental contradictions in the capitalist world have been further intensified, making exploitation, income distribution gap, monopoly and other problems increasingly severe. The imbalance and inequality in the global development of the digital economy are increasingly prominent.

Regarding the global governance of the digital economy, China, as a major responsible country, will strive to encourage all countries to co-build a community with a shared future in cyberspace. In the new international development pattern of digital economy globalisation, China must take effective measures to actively safeguard its national security and development interests to meet specific challenges.

This book is a policy proposal aimed at the democratic left. It is concerned with gradual but radical reform of the socio‐economic system. An integrated policy of industrial and economic democracy, which centres around the establishment of a new sector of employee‐controlled enterprises, is presented. The proposal would retain the mix‐ed economy, but transform it into a much better “mixture”, with increased employee‐power in all sectors. While there is much of enduring value in our liberal western way of life, gross inequalities of wealth and power persist in our society.

The purpose of the paper is to develop a model of distribution of human and machine labor at intellectual production in Industry 4.0.

The basis of the methodology of the research is regression analysis. The analyzed variables are independent variables that characterize the level of development of human and machine labor in the economy of a country; dependent variables that reflect the effectiveness of the production, marketing and innovative business processes in the economy of country according to “The Global Competitiveness Report” (World Economic Forum); and dependent variables, which show the share of the sphere (agriculture, mining industry, processing industry and service sphere) in the structure of GDP of a country according to the statistics of the World Bank. For determining the change of regression dependencies in dynamics in the interests of reduction of the probability of statistical error, the research is conducted for 2010 and 2018 with application of trend analysis.

Based on the full selection of modern countries that conduct digital modernization, the authors determine statistical dependencies of effectiveness of business processes and development of the spheres of economy on the intensity of application of machine and human labor. This allowed determining significant differences in automatization of business processes: perspectives of application of machine labor are the widest in production and the narrowest in marketing, differentiated logic of organization of intellectual production in different spheres of economy and the specifics of automatization of business processes and spheres of economy in countries of different categories, one of which has to be taken into account during organization of intellectual production in Industry 4.0.

The developed model of optimal distribution of human and machine labor at intellectual production in Industry 4.0 will allow reducing disproportions in effectiveness of different business processes, development of different spheres of economy and growth rate of developed and developing countries. This explains its contribution into provision of well-balanced development of the modern global economic system.

This research contributes to current debates on automation and the future of work, a much-hyped but under researched area, in emerging economies through a particular focus on India. It assesses the national strategy on artificial intelligence and explores the impact of automation on the Indian labour market, work and employment to inform policy.

The article critically assesses the National Strategy on AI, promulgated by NITI Aayog (a national policy think tank), supported by the government of India and top industry associations, through a sectoral analysis. The key dimensions of the national strategy are examined against scholarship on the political economy of work in India to better understand the possible impact of automation on work.

The study shows that technology is not free from the wider dynamics that surround the world of work. The adoption of new technologies is likely to occur in niches in the manufacturing and services sectors, while its impact on employment and the labour market more broadly, and in addressing societal inequalities will be limited. The national strategy, however, does not take into account the nature of capital accumulation and structural inequalities that stem from a large informal economy and surplus labour context with limited upskilling opportunities. This raises doubts about the effectiveness of the current policy.

The critical assessment of new technologies and work has two implications: first, it underscores the need for situated analyses of social and material relations of work in formulating and assessing strategies and policies; second, it highlights the necessity of qualitative workplace studies that examine the relationship between technology and the future of work.

The article assesses an influential state policy in a key aspect of future of work–automation.

The policy assessed in this study would have significant social and economic outcomes for labour, work and employment in India. The study highlights the limitations of the state policy in addressing key labour market dimensions and work and employment relations in its formulation and implementation.

This study is the first to examine the impact of automation on work and employment in India. It provides a critical intervention in current debates on future of work from the point of view of an important emerging economy defined by labour surplus and a large informal economy.

Independent actors operating through peer-to-peer sharing economy platforms co-create service experiences, such as shared car-rides or home-stays. Emotional labor among both parties, manifested in the mutual enactment of socially desirable behavior, is essential in ensuring that these experiences are successful. However, little is known about emotional labor practices and about how sharing economy platforms enforce emotional labor practices among independent actors, such as guests, hosts, drivers, or passengers. To address this research gap, we follow a mixed methods approach. We combine survey research among Airbnb and Uber users with content analysis of seven leading sharing economy platforms. The findings show that (1) users perform emotional labor despite not seeing is as necessarily desirable and (2) platforms actively encourage the performance of emotional labor practices even in the absence of direct formal control. Emotional labor practices are encouraged through (hard) design features such as mutual ratings, reward systems, and gamification, as well as through more subtle (soft) normative framing of desirable practices via platform and app guidelines, tips, community sites, or blogs. Taken together, these findings expand our understanding of the limitations of peer-to-peer sharing platforms, where control over the service experience and quality can only be enforced indirectly.

Political economy of trade policies and tariffs can affect welfare distribution and resources allocation as well as sustainable development. Political economy of trade between two countries can be affected by trade between other countries. Global trade can be affected by the bilateral trades of the countries. Impact of their bilateral trades on the global economy and global trade can be increased in case these two particular countries have big share in and influence on the global economy. Based on an in-depth literature review, this chapter aims to investigate political economy of the trade tariff and trade policies with particular focus on China’s economy, US, and China trade policies as well as their roles and impacts on global policy. Furthermore, recommendations for future trade policies and trade tariff strategies have been provided for enhancing global wealth and sustainable development. This chapter emphasizes the importance of sustainability in trade and trade policies’ roles in efficient resource allocation, welfare increase, and sustainable delvelopment. Furthermore, trade policies, taxes, and tariffs are recommended to be balanced based on the mutual trust, and common goals among trading countries. This chapter further emphasizes that trade policies need to promote ­sustainable supply globally.

The purpose of this paper is to compare conditions in informal day-labor markets in South Africa and the USA to better understand the nature of worker vulnerabilities in this market, as well as the economic conditions that have contributed to the growth of day labor. The conclusion considers interventions that are underway in the two countries to improve conditions in day-labor markets.

The paper is based on national surveys of day laborers in South Africa and the USA. A random sample of day laborers seeking work at informal hiring sites was undertaken in each country. The paper presents key findings, compares conditions in South Africa and the USA, and analyzes the relationship between economic change, labor-market dynamics, and worker vulnerability.

Day-labor work is characterized by low pay, hazardous conditions on the job, and tremendous income insecurity. The day-labor markets in South Africa and the USA perform somewhat different functions within regional economies. Within South Africa, day labor can be regarded as a survival strategy. The growth of day labor in South Africa over the past decade is a manifestation of a formal labor market that is incapable of absorbing the structurally unemployed. Here, day labor is the employment of last resort, allowing workers to subsist on the fringes of the mainstream economy, but offering few pathways into the formal sector. In the USA, the day labor workforce is a largely undocumented-immigrant workforce. Workers seek work at informal hiring sites, maintaining a tenuous hold on jobs in the construction industry. There is evidence of some mobility into more stable and better paying employment.

This paper documents the need for policies and programs to increase employment opportunities for day laborers and to better enforce labor standards in the informal economy.

This paper summarizes findings from the only two national surveys of day laborers that have been conducted, and it compares for the first time the dynamic within growing day-labor markets in a developed- and emerging-market context.

Digital transformation is a confidence booster in intrapreneurship, but few have examined its impact on intrapreneurship. Further, quantitative analyses exploring the impact of Chinese enterprises' digital transformation on intrapreneurship at the micro-level are rare. Most enterprises do not have the dividend for digital transformation, and few enterprises have successfully achieved digital transformation through intrapreneurship, internal management re-engineering and technological innovation. This study investigates the effect of digital transformation on intrapreneurship in Chinese real economy enterprises.

The study develops and tests a theoretical model that digital transformation impacts intrapreneurship by promoting working capital turnover and furtherly influencing labor input. Panel data of 1,638 Chinese-listed companies between 2007 and 2020 were used to complete the empirical test.

Digital transformation impacted labor input, with an inverted-U shaped relationship between the two, and labor input significantly stimulated intrapreneurship. This effect promoted labor input's impact on working capital. Chinese real economy enterprises generally increase labor investment to promote intrapreneurship. Heterogeneity analysis revealed that enterprises' asset scale and ownership attributes uniformly affected labor input.

This study provided empirical evidence of the promotional effect of real economy enterprises' digital transformation on intrapreneurship. Further, it advanced the literature by examining this relationship at the micro-level. Moreover, the data sample was long-term and included most industries, thus providing representative results with practical implications.