Kuantkan M.G.
A STUDY OF REGIONAL DIGITALIZATION AND CARBON EMISSION REDUCTION: EVIDENCE FROM GERMAN FEDERAL STATES *
Аннотация:
the transition toward carbon neutrality requires a profound transformation of both technological and industrial systems. Digitalization, as a general-purpose technology, has been increasingly recognized as a potential driver of green development. This study empirically investigates the impact of regional digitalization on carbon emission reduction across 16 German federal states from 2000 to 2020. First, a comprehensive digitalization index is constructed using the CRITIC–TOPSIS method, capturing multiple dimensions of digital development. Second, a panel fixed-effects model is applied to examine the relationship between digitalization and carbon emission intensity. The results show that higher levels of digitalization significantly contribute to reducing CO₂ emissions, with notable regional heterogeneity. Furthermore, mechanism analysis reveals that technological innovation and industrial structure upgrading serve as important mediating channels through which digitalization facilitates carbon reduction. These findings highlight the dual role of digitalization in promoting innovation-driven growth and enabling structural transformation, thereby providing practical insights for aligning digital and low-carbon development strategies.
Ключевые слова:
digitalization, Carbon emissions, Germany
DOI 10.24412/2712-8849-2025-889-7-17
The urgent challenge of climate change has pushed governments worldwide to pursue ambitious carbon neutrality targets. Germany, as one of the leading economies in Europe, has committed to achieving climate neutrality by 2045, which requires significant reductions in carbon dioxide (CO₂) emissions while sustaining economic competitiveness. Achieving this dual goal necessitates not only the transition toward renewable energy but also the transformation of industrial systems and production processes. In this context, digitalization has emerged as a key enabler of sustainable development, offering novel opportunities for reducing emissions through efficiency improvements, innovation, and structural transformation.Digital technologies such as big data, cloud computing, artificial intelligence, and the Internet of Things (IoT) are increasingly recognized as general-purpose technologies with the capacity to reshape economic activities. They can improve resource allocation, optimize industrial processes, and foster the diffusion of green innovations, thereby contributing to carbon reduction. However, the environmental effects of digitalization are complex. On the one hand, digital technologies enhance efficiency and promote low-carbon transitions, on the other hand, they require significant energy consumption and infrastructure, which may increase emissions if powered by fossil fuels. This dual effect makes it necessary to empirically investigate the net impact of digitalization on carbon emissions.While previous studies have examined the role of digitalization in promoting green development, most research has focused either on national-level analyses or on individual technologies. Few studies have systematically measured the level of regional digitalization and assessed its environmental impact across subnational units. Germany provides a particularly relevant case, as its federal states display significant heterogeneity in both digital development and carbon emissions. Understanding these regional differences is crucial for designing policies that align digital transformation with carbon reduction goals.This study aims to fill this gap by constructing a comprehensive index of regional digitalization for Germany’s 16 federal states and analyzing its impact on carbon emissions from 2000 to 2020. By employing a panel fixed-effects model and further testing mediating mechanisms through technological innovation and industrial structure upgrading, this paper provides new empirical evidence on how digitalization contributes to carbon reduction at the regional level. The findings are expected to enrich the literature on digitalization and green development and to offer policy insights for Germany and other countries seeking to balance digital and low-carbon transitions.Literature Review. The relationship between digitalization and environmental sustainability has attracted growing scholarly attention. Digital technologies such as big data, artificial intelligence, cloud computing, and the Internet of Things are increasingly regarded as general-purpose technologies that reshape production and consumption patterns. On the one hand, digitalization can reduce carbon emissions by improving energy efficiency, optimizing industrial processes, and enabling the diffusion of green innovations (Chen & Lee, 2020, Huang et al., 2021). On the other hand, the rapid expansion of digital infrastructure and data centers entails considerable energy demand, which may offset environmental gains if the energy mix remains carbon-intensive (Belkhir & Elmeligi, 2018). This duality highlights the complexity of the digital–carbon nexus.Existing studies suggest two primary mechanisms through which digitalization influences carbon outcomes: technological innovation and industrial structure upgrading. By fostering digital capabilities, firms and regions are more likely to develop and adopt clean technologies, thereby accelerating green innovation (Porter & van der Linde, 1995, Wu et al., 2021). At the same time, digitalization can promote structural transformation, shifting economies from resource- and energy-intensive industries toward knowledge-intensive and service-oriented sectors with lower carbon intensities (Foster et al., 2018, Li & Wang, 2020).Despite these insights, research gaps remain. Most prior studies analyze the digitalization–carbon relationship at the national level or within specific sectors, while subnational evidence is relatively limited. In Germany, existing literature has mainly focused on the national trajectory toward carbon neutrality (Matthes et al., 2021), paying little attention to differences across federal states. Yet regional heterogeneity in both digital capacities and emission patterns may shape the effectiveness of digitalization in reducing carbon intensity. Moreover, while the potential mediating roles of innovation and industrial upgrading are widely acknowledged, empirical studies systematically testing these mechanisms in the German context are still lacking.This study addresses these gaps by developing a multidimensional index of regional digitalization for 16 German federal states and examining its impact on carbon emission intensity from 2000 to 2020. By applying a panel fixed-effects model and further testing the mediating roles of technological innovation and industrial structure upgrading, it contributes to a more nuanced understanding of how digitalization drives low-carbon development.Theoretical Framework and Hypotheses. The Digitalization has emerged as a general-purpose technology capable of reshaping economic systems, organizational behavior, and environmental outcomes. Drawing on theories of general-purpose technologies, green innovation, structural transformation, and spatial heterogeneity, this study establishes the theoretical basis for linking digitalization to carbon emission reduction in Germany’s federal states.First, the theory of general-purpose technologies suggests that digital technologies—similar to electricity or the steam engine in earlier industrial revolutions—have wide applicability and strong spillover effects. They enhance productivity, reduce transaction costs, and enable more efficient allocation of resources. In the environmental domain, these effects translate into lower energy consumption per unit of output, thereby reducing carbon intensity.Second, the theory of green innovation emphasizes that technological progress is central to environmental improvements. Digitalization facilitates research, development, and diffusion of cleaner technologies by improving information flows, reducing innovation costs, and enhancing collaboration networks. This leads to the hypothesis that digitalization indirectly reduces emissions by fostering technological innovation.Third, the theory of structural transformation highlights the transition from resource-intensive, high-emission industries to service-oriented and knowledge-intensive sectors as a key driver of carbon reduction. Digitalization accelerates this process by promoting new business models, enhancing productivity in the service sector, and enabling the substitution of digital services for physical production. Thus, digitalization may indirectly reduce emissions by driving industrial upgrading.Finally, regional disparities suggest the importance of spatial heterogeneity theory. Differences in digital infrastructure, economic development, and innovation capacity imply that the environmental impact of digitalization may vary across regions. Some states may experience stronger emission reductions due to advanced innovation ecosystems, while others may face rebound effects from energy-intensive infrastructure.Based on these theoretical perspectives, the following hypotheses are proposed:H1: Digitalization significantly reduces carbon emission intensity in German federal states.H2: The effect of digitalization on carbon emission reduction exhibits regional heterogeneity across federal states.H3a: Digitalization reduces carbon emission intensity by promoting technological innovation.H3b: Digitalization reduces carbon emission intensity by facilitating industrial structure upgrading.Methodology. This study employs panel data from 16 German federal states covering the period 2000–2020, with information drawn from Destatis, Eurostat, and state-level environmental and innovation statistics. Carbon emission intensity, measured as CO₂ emissions relative to regional GDP, serves as the dependent variable. The key explanatory variable is a comprehensive digitalization index constructed using the CRITIC–TOPSIS method, incorporating indicators of digital infrastructure, digital economy development, digital innovation, and digital inclusion. To explore the mechanisms, two mediating variables are introduced: technological innovation, proxied by green patents and R&D expenditure in environmental technologies, and industrial structure upgrading, measured by the share of tertiary industry and the relative output of high-tech sectors. Control variables include GDP per capita, urbanization rate, renewable energy share, and population density to account for socioeconomic and energy-related factors. The empirical strategy relies on a panel fixed-effects model to capture unobserved heterogeneity across states and years. To test mediation, regressions first estimate the effect of digitalization on the mediators, then include mediators in the main equation to assess indirect effects. Robustness is checked through alternative specifications, including random-effects models, lagged variables, and alternative measures of both digitalization and emissions, ensuring the stability and validity of the results.Results and Discussion. The baseline regression results indicate that digitalization exerts a statistically significant negative effect on carbon emission intensity across German federal states. Specifically, an increase in the digitalization index is associated with a measurable reduction in CO₂ emissions per unit of GDP, thereby supporting H1. This finding confirms that digital transformation plays a crucial role in decoupling economic growth from environmental pressure. It is consistent with previous studies emphasizing the role of digital technologies in improving energy efficiency and reducing transaction costs (Chen & Lee, 2020, Huang et al., 2021).The mediation analysis provides further insights into the mechanisms underlying this relationship. When technological innovation is introduced as a mediator, the effect of digitalization on carbon emission intensity decreases but remains significant. This result demonstrates that part of the carbon-reducing effect of digitalization operates through the promotion of innovation, supporting H3a. States with stronger digital infrastructures and higher levels of digital adoption record more green patents and greater R&D expenditures in environmental technologies, which contribute directly to carbon reduction. These findings resonate with the theory of green innovation, which emphasizes the environmental benefits of technological progress (Porter & van der Linde, 1995).Similarly, the inclusion of industrial structure upgrading as a mediator shows that digitalization facilitates the transition from resource-intensive industries toward service-oriented and knowledge-based sectors, which are generally less carbon intensive. The share of tertiary industry and high-tech output increases significantly with higher digitalization levels, and this structural shift contributes to emission reductions, confirming H3b. This result is consistent with structural transformation theory, which highlights the role of sectoral changes in long-term carbon reduction (Foster et al., 2018).The analysis of regional heterogeneity reveals important differences across German federal states, confirming H2. Economically advanced states such as Bavaria, Baden-Württemberg, and Hesse, which possess strong innovation ecosystems and high levels of digital infrastructure, exhibit stronger carbon-reducing effects of digitalization. By contrast, states in eastern Germany, where digital infrastructure and industrial modernization are less developed, display weaker effects. This pattern indicates that the benefits of digitalization for emission reduction are conditional upon the regional context, including the availability of skilled labor, industrial composition, and energy structure. These findings align with international studies emphasizing spatial heterogeneity in the digital–carbon nexus (Liu et al., 2020).Robustness checks further confirm the reliability of these results. Alternative specifications using random-effects models, lagged independent variables to mitigate endogeneity concerns, and alternative measures of both digitalization and emissions consistently support the main conclusions. Together, the results highlight that digitalization serves as a dual engine of innovation-driven growth and industrial transformation, reinforcing its role as a key driver of low-carbon development in Germany.Policy Implications. The results The findings of this study provide several important policy implications for Germany’s dual goals of advancing digital transformation and achieving climate neutrality by 2045. First, the significant negative relationship between digitalization and carbon emission intensity suggests that digitalization policies should be closely integrated with climate strategies. Policymakers should not treat digital and green development as separate agendas but rather as mutually reinforcing processes. For instance, investments in broadband infrastructure, cloud platforms, and artificial intelligence should be aligned with renewable energy expansion to maximize their decarbonization potential.Second, the mediating role of technological innovation highlights the importance of strengthening the link between digital adoption and green R&D. Policies should incentivize firms to leverage digital technologies for the development of clean technologies, such as smart grids, energy-efficient manufacturing, and circular economy platforms. Increasing funding for digital–green innovation projects, supporting collaborations between universities, research institutes, and industry, and expanding patent protections in green technologies can further amplify the carbon-reducing effect of digitalization.Third, the role of industrial structure upgrading indicates that digitalization should be leveraged to accelerate Germany’s transition toward a knowledge- and service-based economy. Policymakers should support the digital transformation of traditional manufacturing industries, enabling them to adopt advanced manufacturing techniques, data-driven production, and smart logistics. At the same time, fostering the growth of digital services, green finance, and clean-tech startups can shift the economic structure toward sectors with lower carbon intensities. Regional development policies should particularly target lagging states, providing financial and technical support for upgrading their industrial base in line with the principles of “Just Transition.”Finally, the evidence of regional heterogeneity implies that a “one-size-fits-all” policy may not be effective. Advanced states with strong innovation ecosystems may benefit more from policies that encourage high-tech experimentation and large-scale deployment of digital–green solutions, while less-developed states may require foundational investments in digital infrastructure, workforce training, and renewable energy integration. Differentiated strategies—combining national coordination with state-level customization—will be essential for ensuring balanced and inclusive progress toward both digitalization and decarbonization.In summary, the results underscore the need for Germany to pursue a synergistic strategy that aligns digital transformation with climate neutrality. By strengthening the integration of digital infrastructure, innovation policies, and industrial upgrading, while addressing regional disparities, Germany can harness the full potential of digitalization as a catalyst for its low-carbon transition.Conclusion. This study examined the impact of regional digitalization on carbon emission reduction across 16 German federal states from 2000 to 2020. By constructing a multidimensional digitalization index using the CRITIC–TOPSIS method and applying a panel fixed-effects model, the analysis provides robust evidence that digitalization significantly reduces carbon emission intensity. The findings confirm that digital transformation not only directly improves emission efficiency but also operates indirectly through two key mechanisms: promoting technological innovation and facilitating industrial structure upgrading. Furthermore, regional heterogeneity analysis reveals that the effects are stronger in economically advanced states with more developed digital ecosystems, while weaker in regions with lagging infrastructure and innovation capacity.These results contribute to the growing literature on the digital–carbon nexus by providing one of the first systematic empirical assessments at the subnational level in Germany. From a theoretical perspective, the study integrates insights from general-purpose technology, green innovation, and structural transformation theories to explain how digitalization functions as a driver of low-carbon development. From a policy perspective, the findings underscore the importance of aligning digital strategies with climate goals, strengthening support for digital-driven green innovation, promoting structural upgrading, and addressing regional disparities in digital capacity.Looking ahead, future research could extend the analysis by incorporating firm-level or sectoral data to better understand micro-level dynamics, as well as by exploring the potential rebound effects of digital technologies in energy-intensive sectors. Despite these limitations, this study provides strong empirical evidence that digitalization can serve as a powerful catalyst for Germany’s transition toward climate neutrality by 2045.
Номер журнала Вестник науки №8 (89) том 4
Ссылка для цитирования:
Kuantkan M.G. A STUDY OF REGIONAL DIGITALIZATION AND CARBON EMISSION REDUCTION: EVIDENCE FROM GERMAN FEDERAL STATES // Вестник науки №8 (89) том 4. С. 7 - 17. 2025 г. ISSN 2712-8849 // Электронный ресурс: https://www.вестник-науки.рф/article/25424 (дата обращения: 18.01.2026 г.)
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