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Little consideration has been given to the process of technological change in political theory. Given that ideas about this process play an important role in many strands of normative political thought, and are especially crucial to climate change politics, this is a remarkable oversight. It risks political theory being irrelevant to climate change mitigation. The implications of this oversight for political theory are explored here through an analysis of the liberalism-ecologism debate. The article argues that attempts to green liberalism – to move it beyond environmentalism – cannot succeed while liberalism is silent about technological change. More broadly, given that most political theory traditions make claims about technological change, claims crucial to their worldviews and normative goals, it argues that much more theorisation of the concept is necessary. Especially now that they shape how the world understands climate change mitigation, contests over the meaning of technological change are intensely political contests. Political theory needs to get much more involved. [ABSTRACT FROM AUTHOR]

Industry 4.0 has revolutionised manufacturing, presenting significant challenges for adoption, particularly in developing countries like India. This study identifies and evaluates challenges specific to the Indian automobile industry's implementation of Industry 4.0 to address this. Leveraging Latent Dirichlet Allocation (LDA), a machine learning-based text analysis algorithm, we discerned challenges from existing literature. Subsequently, employing the Delphi method, we refined these challenges, leading to a questionnaire-based survey and fuzzy Decision-Making Trial and Evaluation Laboratory (f-DEMATEL) data analysis to prioritise them. Our research framework involved collaboration with original equipment manufacturers (OEMs), suppliers, and academic experts who ranked 20 challenges by influence. Findings reveal divergent perspectives: OEM experts highlight concerns regarding outdated infrastructure, high initial costs, financial uncertainty, and a lack of strategy and standards. Supplier industries emphasise the importance of Information Technology and Research & Development departments, the maturity of Industry 4.0 tools, industry-academia collaboration, and addressing strategy and standards gaps. Academia underscores the need for financial support, government assistance, and organisational adjustments. These insights offer crucial guidance for managing Industry 4.0 challenges in the Indian automobile industry, facilitating targeted and practical implementation strategies. [ABSTRACT FROM AUTHOR]

In the third decade of the 21st century, global technological competition is spreading at an unprecedented level in every corner of the whole world. Major economies view technological change as a fundamental core capability for maintaining national security. Western countries, led by the United States, view technological change as a fundamental core capability for maintaining national security, making every effort to build leadership and consistency in the field of technology, and resorting to a high-tech cold war approach to suppress non-western countries. In the foreseeable future, China will build a strong country in science and technology, and achieve the goal stated in the report of the 20th National Congress of the Communist Party of China, which is to achieve high-level technological self-reliance and self-improvement by 2035, and enter the forefront of an innovative country, as scheduled, will become even more challenging. In this regard, efforts to break through the current situation, reconstruct a new situation, lead changes, and revitalize the overall situation have become necessary measures for China to break through the current high-tech cold war. [ABSTRACT FROM AUTHOR]

This article explores how a judiciary organization in Brazil underwent organizational change by implementing the virtualization of lawsuit processes. The virtualization of work processes requires practitioners to understand the organizational structure to implement technological changes effectively. Through a theoretical approach that considers the judiciary organization a professional bureaucracy, the article explains that effective organizational change in the judicial branch requires alignment with organizational structure and context. According to the study, e-government technology significantly impacts how individuals organize and structure their activities. Despite implementing new information and communication technologies during the virtualization of lawsuits, the organization maintained its professional bureaucracy configuration while making necessary changes. [ABSTRACT FROM AUTHOR]

Early hype cycles surrounding new technologies may promote simplistic binary options of either adoption or rejection, but socio-historical analyses of technologies illuminate how they are worked into shape by human actors. Humans enact agency through many choices that result in adaptations and contextual variations. In this piece, we argue that the changes that result from emerging technologies are the ones that we work into shape through professional methods, artistry, and effort. We draw on historical and contemporary examples such as writing and learning analytics to illustrate this shaping cycle and apply ethical analysis to identify potential harms and benefits of emerging AI technologies that then inform learning design decisions. We conclude with an example of the application of "cognitive partnerships" as some of the important theory building that is part of the professional work still to be done in working AI – or any emerging technology – towards the change we desire. [ABSTRACT FROM AUTHOR]

Stable development of agriculture in the context of innovative transformation of productive forces and structural changes is recognized as one of the directions of the National Security Strategy of the Russian Federation. Mechanisms for stimulating technological change and increasing efficiency should be aimed at achieving sustainable production criteria. The purpose of the study is to develop conceptual aspects of managing the sustainable development of agriculture using the example of livestock industries in conditions of structural transformation and technological changes. The article examines theoretical and methodological approaches to the study of problems of sustainable development of agriculture. An analysis was carried out and an assessment was made of the dynamics of crop yields and livestock production. Significant structural shifts and technological changes in the livestock subcomplex of Russia, caused by the processes of diffusion of innovations, have been identified. The authors have developed conceptual approaches to studying the problems of sustainable agricultural development in regional agricultural systems based on effective management. The main objectives of the proposed concepts are: expansion of production volumes of agricultural products, taking into account the needs of the region and export opportunities; technical and technological modernization of agricultural organizations and achieving an innovative balance of resources; compliance with the principles of rational environmental management and achieving environmental safety. The practical value of the results lies in the possibility of forming a strategy for the sustainable development of regional agricultural systems in the conditions of structural transformation and technological changes. [ABSTRACT FROM AUTHOR]

This study estimates changes in productivity and profitability and their respective components for two major Indian sse crops, pigeon peas and chickpeas. Results show that average profitability declined during the period under consideration (2009-2014) for both pulse crops. Lower profits are driven by increases in input prices and decreases in total factor productivity, output growth, and output (constant) prices. The reduction in total factor productivity is primarily due to a slow increase in output. Finally, the technical efficiency estimates are lower than for cereal crops like rice and wheat: 72% for chickpeas and 71% for pigeon peas. [ABSTRACT FROM AUTHOR]

Objective: Technological transformations have profoundly changed the journalism professions. These transformational processes have been experienced by journalists in a techno-cultural environment where their personal and collective memories were shaped. This study employs oral history as the data collection technique in order to explore the details of this techno-cultural change from the actor-network theory (ANT) perspective. Research methods: A sample of 28 senior Turkish journalists were interviewed about their experiences on the technological transformations in their professional life. The transcribed text from these narrations were qualitatively analyzed by NVivo. Results: Journalists agreed that their work was more satisfactory during their past career, and they had faced some difficulties in new forms of technical practices. They also remembered how they were able to tackle some unexpected technical problems by introducing creative inventions. They generally acknowledged the negative effects of technology on the job cuts. Cognitive value: Interviewees' narrations display the details of the change in journalism professions. [ABSTRACT FROM AUTHOR]

Copyright of Revista General de Información y Documentación is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recent trends in corporate venture capital (CVC) activities have added to the size and complexity of the financial system. Intuition suggests that in a period marked by spectacularly increasing start-up valuations, the opportunity to earn large capital gains increases the importance of corporate investors' financial motivations. Drawing on interviews with 12 Silicon Valley-based CVC units of global industrial companies, we examine if new trends in CVC investment represent a diversion from incumbents' traditional focus on improving the competitive advantage of their core businesses. Building on the theory of the financialization of non-financial companies, we investigate the relationship between the strategic and financial motivations of CVC investing. We extend theory by distinguishing between developments at the extensive and intensive margins. We argue that the commonly applied quantitative measures capture financialization only at the extensive margin. Qualitative data indicate that the hypothesis of financialization does not hold at the intensive margin. [ABSTRACT FROM AUTHOR]

This article uses data from a natural experiment to address one of the most contentious issues in the on-demand platform economy—whether gig work is compatible with standard employment. We analyze a US-based package delivery platform that shifted a subset of its workers from independent contractors to employees, thereby creating a natural experiment that allowed us to exploit variation over time and across locations. We examine the impact of employment status on work scheduling practices, hours of work and the firm's ability to match workers' scheduled hours with the amount of time they were actively engaged in parcel delivery. We find that after the transition to employment, flexibility with respect to how work schedules were determined was maintained, and drivers' total hours of work increased. We also find that the switch to employee status increased the firm's ability to match scheduled and actual working time, indicating greater operational efficiency. We conclude, contrary to claims commonly made by platform firms, that employment status can coexist with the platform model. [ABSTRACT FROM AUTHOR]

Copyright of Revista Economia Política do Desenvolvimento (REPD) is the property of Revista Economia Politica do Desenvolvimento (REPD) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Green finance is currently a key driver of China's economic green transformation, but its impact on green total factor productivity (GTFP) mechanisms still needs further examination. Based on clarifying the theoretical mechanism of the impact of green finance on GTFP, this study uses the SBM model, which includes unexpected output, to calculate the GTFP of 30 provinces in China from 2006 to 2020. It further breaks down GTFP into green technical efficiency change (EC) and green technical change (TC) and explores in detail the internal mechanism of the impact of green finance on GTFP, as well as its channels of action from the perspectives of technology transaction activity and financial development. The study finds that green finance can significantly improve GTFP, and its impact mechanism is mainly achieved through the promotion of green technical change. Stimulating the activity of the technology transaction market and improving the level of financial development are powerful channels for green finance to improve GTFP. The study also shows that the impact of green finance is relatively robust when dividing the 30 provinces of China into coastal, inland, eastern, central, and western regions. Due to the lack of financial development and abundant natural resources, the impact of green finance is not significant in the western region. These conclusions not only provide new research perspectives and supplementary empirical evidence for understanding the impact of green finance on GTFP, but also provide useful references for further improving relevant policies and promoting China's economic development and transformation. [ABSTRACT FROM AUTHOR]

Copyright of R&S: Research Studies Anatolia Journal is the property of Dr. Arif Yildiz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this reply to van de Poel’s (Philosophy & Technology, 35(3), 82, 2022) commentary on O’Neill (Philosophy & Technology, 35(79), 2022), I discuss two worries about the general contextual integrity approach to evaluating technological change. First, I address van de Poel’s concern that the general contextual integrity approach will not supply the right guidance in cases where morally problematic technological change poses no threat to contextual integrity. Second, I elaborate on how the approach supplies mechanisms for balancing caution with the need for change. [ABSTRACT FROM AUTHOR]

AI's impact on jobs varies by gender, with women facing higher replacement risks. This discrepancy is intensified by the digital divide, insufficient knowledge and skills, and a less open attitude towards AI among women, thereby limiting women's access to AIdriven opportunities. This paper's primary objective is to scrutinize women's selfassessment of digital competencies when utilizing AI in professional settings. Drawing from a survey conducted among Polish women, our findings reveal that the adoption of AI is linked to factors such as age, education, work experience, and location of residence. Women with higher levels of education residing in larger cities, as well as younger individuals with less work experience, are more likely to recognize the advantages of utilizing AI. Their concerns are less about the necessity for continuous development of digital skills, but rather about the potential impact of AI on their work-life balance and the possibility of a decrease in earnings, despite the anticipated improvements in productivity and time management efficiency. [ABSTRACT FROM AUTHOR]

While the rural agriculture sector has traditionally been seen as backward relative to the urban industrial and services sectors, it is a potential “low-hanging fruit” ripe for a much-needed digital transformation for agricultural development. ASEAN has seen a U-turn in progress in addressing undernourishment as early as 2014–16, owing to multiple factors. These include climate change which impacts have led to a slowdown in agricultural yield growth amidst growing consumption requirements. Digital technologies are important in adapting the agriculture sector to climate change and rising demand for it to serve as a key sector for food security, income, trade, and employment in the region. However, adoption of digital technologies in agriculture within the region is still relatively nascent, partly because of a general lack of understanding of such technologies and how they contribute to agricultural development. Also lacking is a common framework for understanding and classifying the relevance of such technologies. Thus, this article proposes a common framework and narrates how it was developed and used in facilitating discussions that helped develop the 2021 ASEAN Guidelines on Promoting the Utilization of Digital Technologies for ASEAN Food and Agricultural Sector. We draw insights from our earlier work on the state of adoption of digital technologies in agriculture in the region and give an overview of key challenges and policy opportunities for scaling up. [ABSTRACT FROM AUTHOR]

This paper studies how linear tax and education policy should optimally respond to skill-biased technical change (SBTC). SBTC affects optimal taxes and subsidies by changing (1) direct distributional benefits of each policy instrument, (2) indirect, general-equilibrium effects on wages, and (3) education distortions. Analytically, the effect of SBTC on these three components is shown to be ambiguous. In simulations for the US economy, SBTC makes the optimal tax system more progressive and lowers optimal education subsidies. This is because for both income taxes and education subsidies; their direct distributional effects become more important, which more than offsets the larger general-equilibrium effects and increased education distortions. [ABSTRACT FROM AUTHOR]

This study examines how electrification affected the economic performance of the Japanese coal mining industry in the 1900s. Using difference-in-differences estimation, we find that electrification considerably improved labor productivity and increased the number of workers, but had statistically zero effects on miners' wages and caused a significant decline in the labor income share. We explain this phenomenon by using the "superstar firm" hypothesis, which provides a consistent explanation of the recent declines in labor income share in the US economy. [ABSTRACT FROM AUTHOR]

This study conceptually characterizes and theoretically represents the four main sustainability paradigms (strong sustainability, weak sustainability, de-growth, and a-growth) in terms of equality and inequality. It then applies these conditions to developed and less-developed countries (OECD and non-OECD countries) and empirically shows that the change in production technology (∆θ) required by a-growth is impossible and the change in consumption preferences (∆α) required by de-growth is unfeasible. Finally, it combines a-growth and de-growth in a theoretical solution for the relationship between ∆α and ∆θ that meets the conditions required by both strong and weak sustainability (parameters are the world’s population, consumption preferences, and production technologies or concerns for nature and future generations in developed and less-developed countries) and empirically demonstrates that this solution is feasible. In particular, sustainability turns out to be an ethical issue more than a technological issue, and the ethical concern for nature turns out to be more favorable than the ethical concern for future generations. Ethical assumptions and implications of the four main sustainability paradigms are highlighted and ethical assumptions and implications of the combined theoretical model are discussed. In particular, intergenerational efficiency is achieved in terms of welfare, and intergenerational equity is achieved in terms of environmental status.

Digital loans have exploded in popularity across low- and middle-income countries, providing short term, high interest credit via mobile phones. This paper reports the results of a randomized evaluation of a digital loan product in Nigeria. Being randomly approved for digital credit (irrespective of credit score) substantially increases subjective well-being after an average of three months. For those who are approved, being randomly offered larger loans has an insignificant effect. Neither treatment significantly impacts other measures of welfare. We rule out large short-term impacts – either positive or negative – on income and expenditures, resilience, and women’s economic empowerment.

Abstract Background Sixteen of the 30 countries with a high tuberculosis (TB) burden are in Sub-Saharan Africa (SSA). Over 25% of TB deaths occur in the Africa region. This study aims to estimate the productivity changes of TB programs in 16 SSA countries where TB is endemic. Methods We used Hicks-Moorsteen index to compute and decompose Total factor productivity (TFP), and the β-convergence and σ-convergence tests to check for convergence patterns among SSA countries. Results We found that technological change has been the main driver of the TFP growth, and that increasing technical efficiency may be the first objective in efforts to improve TFP of TB programs. Moreover, the convergence tests reveal significant homogeneity in terms of TFP change between SSA countries studied. Conclusion The findings suggest that improving technical efficiency of TB programs mainly calls for better resource allocation, capacity building in governance and management of programs, improved training of the health providers and stronger prevention policies. Policymakers must design models for integration of TB treatment under the universal health insurance schemes.

The environment of a port city can shape the technological behavior of port-vicinity enterprise and then can influence their innovation performance. Conversely, the technological change of port-vicinity enterprise can determine the transformation and upgrade toward diversification of the port city. The limitation of the current research is that it could not be refined to port enterprises from the regional or industrial level and could not fit the dynamic trajectory of technological change of port-vicinity enterprises. Benefiting from the "evolutionary turn" of economic geography in recent years, the target of evolutionary economic geography, which fuses temporal and spatial factors, is to understand the historical process of economic evolution; hence, evolutionary economic geography is the appropriate platform to analyze this topic. This study integrates the main perspectives of evolutionary economic geography, including generalized Darwinism, complexity theory, and path dependence, to explain the behavior characteristics of port-vicinity enterprises such as technology search and selection, path locking, and so on. An evolutionary analysis framework was constructed for the technological change mechanism of port-vicinity enterprises and demonstrated the applicability and value space of evolutionary economic geography on this theme. The findings conclude the following: 1)Observed from the perspective of generalized Darwinism, the heterogenous port-vicinity enterprises have different technology selection mechanisms in market competition, and the technological change is similar to the biological population evolution. The entry and exit of enterprises and technology reset of existing enterprises contribute jointly to the spatiotemporal evolution of port-vicinity enterprises' technology. 2)Under the premise of bounded rationality, the technological change of port-vicinity enterprise was conducted by local search, the preferable innovation performance could be achieved on the certain position between cognitive proximity and distance. For complex technology networks and different technology paths, port-vicinity enterprises need to adapt and make constant trade-offs to promote the diversified technological path of the port city. With the gradual progress of the port life cycle, the type of distribution and technical level of port-vicinity enterprises will change greatly, leading to the unbalanced development of port cities. (3) The path dependence of port-vicinity enterprises' technological change is a series of temporary equilibrium. The evolution of the technological path of such enterprises can be divided into four stages and face three obstacles (functional, cognitive, and institutional locking). The embeddedness of technological change of port-vicinity enterprises leads to spatial dependence. The windows of locational opportunity of emerging industries will be mainly grasped by port cities with greater inclusiveness and diversity. Past port activities may have strengthened the dependence on heavy chemical industry, locking port cities in the low technology path; therefore, the formation of a new technological path needs the combined action of internal and external forces.

Technological changes (such as Construction 4.0) in an organization cause the workforce to exhibit resistance to change, job redundancy, etc. Geographical location will no longer provide a competitive advantage, but resources will be the source of competitive advantage in the future, and these resources will be intangible, valuable, and not be easily imitated. The aim of this study is to provide an understanding of the future competitive advantages of organizations in the construction industry that could help the construction workforce easily adapt to technological changes. This study is based on resource-based theory and the ADKAR change management model. This study developed an ADREKA sequence for organizations to achieve future competitive advantage during technological changes in the construction industry. Hence, building social, relational, and human capital is necessary during technological changes to achieve competitive advantage for an organization and foster workforce adaptability to change.

The proposed general theory of scientific variability for technological evolution explains one of the drivers of technological change for economic progress in human society. Variability is the predisposition of the elements in systems to assume different values over time and space. In biology, the variability is basic to explaining differences and development in organisms. In economics of technical change, the effects of variability within research fields on evolutionary dynamics of related technologies are unknown. In a broad analogy with the principles of biology, suggested theoretical framework here can clarify a basic driver of technological evolution: the variability within research fields can explain the dynamics of scientific development and technological evolution. The study sees whether statistical evidence supports the hypothesis that the rate of growth of scientific and technological fields can be explained by the level of variability within scientific fields. The validation is based on emerging research fields in quantum technologies: quantum imaging, quantum meteorology, quantum sensing, and quantum optics. Statistical evidence seems in general to support the hypothesis stated that the rate of growth can be explained by the level of scientific variability within research fields, measured with the relative entropy (indicating the dispersion of scientific topics in a research field underlying a specific technology). Nonparametric correlation with Spearman’s rho shows a positive coefficient of 0.80 between entropy measures and rates of growth between scientific and technological fields. The linear model of the relation between rate of growth and scientific variability reveals a coefficient of regression equal to 1.63 (R2 = 0.60). The findings here suggest a general law that variability within research fields positively drives scientific development and technological evolution. In particular, a higher variability within research fields can support a high rate of growth in scientific development and technological evolution. The proposed general theory of scientific variability is especially relevant in turbulent environments of technology-based competition to clarify a basic determinant of technological development to design strategies of technological forecasting and management of promising innovations.

Energy transition is an unavoidable process for developing countries, that calls into debate the balance between energy security, social equity, environmental sustainability, and techno-productive development. This last aspect raises the possibility of transforming this process into a space of opportunity for the development of new technological capabilities associated with the generation of energy from renewable sources, improving competitiveness and making the productive structure ofthese countries more complex. The evolutionary and neo-Schumpeterian economic literatures revive the debate on the role of natural resource-based industries in economic development. Based on this approach, the article aims to delve into the innovative dynamics of these industries and the market, organizational, institutional, and technological conditions that delimit it. Through the review of various secondary data sources, the article analyzes four case studies corresponding to the biogas, biodiesel, wind energy and low-emission hydrogen production industries in Argentina. It is observed that none of these conditions alone is sufficient to promote learning and innovation spaces, so it is necessary to consider their multiple interactions and the heterogeneity they present between industries to design an energy transition that prioritizes techno-productive development. In addition, the presence of innovations in these industries does not necessarily imply the development of technological capabilities, so questions persist about the conditions that enable learning and innovation processes.

Purpose: This study is aimed to measure COVID-19's impact on innovation and monitor technical change during the Pandemic through patent applications. Methodology: Patent application annual total number of European Patent Office patent applications data on 35 different technological disciplines separated into five key categories from 2012 to 2021 were utilized in the analysis. The Prophet forecasting model to forecast patent applications for 2020 and 2021 has been developed. The technological advancements and Pandemic impact on innovation were then analyzed using the actual and forecasted values. Findings: The study's findings indicate no apparent difference between actual numbers and forecasted values. It was found that in 2020 and 2021, more patent applications than expected were made in 15 and 16 technological areas, respectively. The study also found that semiconductors, audio-visual, and nanotechnology advancements have been notable during the Pandemic. Originality: The originality of this study lies in the use of the Prophet forecasting model based on European Patent Office patent application values in the analysis of the effects of the pandemic on innovation and technological change for 35 different technological disciplines.

The pandemic compelled many individuals, initially hesitant about online shopping, to overcome their reservations, acquire essential skills, and transition to online retail. This provided a natural experiment to assess whether the barriers to online shopping and the comfort of traditional in-store habits have hindered a broader shift to e-commerce. This paper uses the US retail data to analyze e-commerce activities before, during, and after the pandemic to determine whether the pandemic has permanently altered the pattern of the activities to determine whether the pandemic has permanently altered the pattern of the activities by utilizing structural break detection tools. Additionally, we carry out a forecasting exercise for post-pandemic based on pre-pandemic data to confirm our findings. Results suggest that while e-commerce activities surged during lockdown, they have predominantly reverted to pre-pandemic patterns. Our findings caution both investors and companies against overreaction in the face of exuberant changes in the market to avoid painful corrections afterward.

Background: Sixteen of the 30 countries with a high tuberculosis (TB) burden are in Sub-Saharan Africa (SSA). Over 25% of TB deaths occur in the Africa region. This study aims to estimate the productivity changes of TB programs in 16 SSA countries where TB is endemic. Methods: We used Hicks-Moorsteen index to compute and decompose Total factor productivity (TFP), and the β-convergence and σ-convergence tests to check for convergence patterns among SSA countries. Results: We found that technological change has been the main driver of the TFP growth, and that increasing technical efficiency may be the first objective in efforts to improve TFP of TB programs. Moreover, the convergence tests reveal significant homogeneity in terms of TFP change between SSA countries studied. Conclusion: The findings suggest that improving technical efficiency of TB programs mainly calls for better resource allocation, capacity building in governance and management of programs, improved training of the health providers and stronger prevention policies. Policymakers must design models for integration of TB treatment under the universal health insurance schemes. Highlights: Sixteen of the 30 countries with a high tuberculosis (TB) burden are in Sub-Saharan Africa (SSA). The main objective of this study is to estimate the productivity change of TB programs in Sub-Saharan Africa (SSA). We used Hicks-Moorsteen index to compute total factor productivity. We also provide findings on productivity changes in terms of convergence. Increasing technical efficiency of TB programs is the first objective in improving overall factor productivity. An efficient use of funds will arguably reduce the number of tuberculosis cases and TB burden. Action for Strengthening Good Governance of TB programs in SSA is imperative. Policymakers must design models for integration of TB services under the universal health insurance schemes. [ABSTRACT FROM AUTHOR]

Technological change is a vital force for sustained economic growth. As environmental pollution becomes more prominent, a ‘green’ development model that integrates economic growth and environmental protection has become an inevitable choice for countries worldwide. Using panel data from 30 provinces in China, this study analyzes the impact of three technological change channels: domestic technology stock, international technology spillover, and absorptive capacity on green total factor productivity (GTFP). The main conclusions are as follows: (1) The three technological change ways of domestic technology stock, international technology spillover, and absorptive capacity show a U-shaped nonlinear relationship that first inhibits and then promotes GTFP. (2) The impact of three technological change methods on GTFP is different in different regions, and different channels of technological change in the same region play different roles. Therefore, all localities should formulate technological change measures according to local conditions. (3) In terms of the mechanism of action, the innovation preference of enterprises positively moderate the relationship between domestic technology stock and GTFP; Social innovation preference strengthens the promoting effect of international technology spillover and absorptive capacity on GTFP; Government innovation preference has a positive moderating effect on the relationship between international technology spillover and GTFP. [ABSTRACT FROM AUTHOR]

The tech industry profoundly impacts our lives and has gained great economic and political influence. Yet, we know little about the people inside tech firms, whose actions and decisions shape technological progress and its impact on society. What is of particular relevance is their opinions and beliefs about the proper order of society and the societal role of tech firms – that is to say, their political ideologies. The few existing studies on this topic mainly concentrate on tech leaders. Our study shifts attention to the workers who develop the technology. Numerous works highlight their influence on the affordances of technology and decisions taken by their firms. Our quantitative analysis of campaign contributions shows that American tech workers exhibit a unique combination of left-wing (liberal) and anti-establishment attitudes. Moreover, we expose a substantial ideological divide between tech workers and their leaders. We discuss these findings in relation to the development of new technologies, employee activism, and tech workers as a distinct class fraction. [ABSTRACT FROM AUTHOR]