Determinants of electromobility development from the perspective of a zero emission, innovative and resilient economy

Investigating the spatiotemporal coupling and coordinated evolution of economic and ecological resilience in Africa provides theoretical support and scientific foundation for the continent’s green and high-quality development. From the perspective of evolutionary resilience, this study constructs an evaluation model for Africa’s economic resilience and ecological resilience. Using kernel density models, namely the “economic-ecological” resilience zoning method, the coupling coordination degree model, and the Haken model, this study explores the spatiotemporal alignment, coupling, and synergistic evolution of economic and ecological resilience in Africa in a step-by-step manner. The results show that (1) the overall level of economic resilience in Africa is relatively low, with increasing regional disparities. Spatially, economic resilience exhibits a distribution pattern of “low values widely spread, high values concentrated”; the level of ecological resilience, in contrast, shows a more pronounced dispersion, with a spatial distribution of “low values concentrated, high values dispersed”; (2) based on the “economic-ecological” resilience zoning method, most African countries and regions fall into the low economic resilience category, with weak economic resilience and prominent issues related to economic instability. The seven major high economic resilience zones largely overlap with the high economic resilience-high ecological resilience areas, demonstrating good spatiotemporal alignment between economic and ecological resilience; (3) in terms of the spatiotemporal coupling relationship between economic resilience and ecological resilience, most of Africa falls into the disordered category, with an increasingly obvious polarization trend in the coupling coordination degree; (4) from the perspective of the synergistic relationship between economic resilience and ecological resilience, ecological resilience dominates the symbiotic system formed by economic resilience and ecological resilience. The development of ecological resilience and economic resilience is mutually inhibitive, with prominent contradictions between the economy and the environment. Ecological and economic resilience have formed an internal mechanism of positive feedback in the synergistic system. The regional differences in the synergistic value have expanded, while the differences within regions have narrowed, indicating an emerging trend of spatial differentiation.

The spatiotemporal evolution of COVID-19 in China and its impact on urban economic resilience

With the recent changes in population structure and continuous urbanization, the degree of population shrinkage in mountain cities has increased, especially under the impact of the COVID-19 epidemic, and the economic development of such mountain cities has become a prominent issue. The epidemic has not only exposed the vulnerability of these cities to economic development but also aggravated the negative impact of population contraction, bringing about new challenges and pressures related to regional population development and economic resilience. This change has become an important topic in the study of mountain cities. Therefore, taking Guizhou Province as a case study, this work applies the population change rate, the entropy method, and a mediation effect model to study the spatiotemporal evolution of population shrinkage and economic resilience, and it explores how population shrinkage influences economic resilience. The results reveal the following: (1) Few counties experienced population shrinkage in Guizhou Province from 2013 to 2017, indicating a sporadic distribution pattern, whereas the degree of population shrinkage increased rapidly from 2018 to 2022, revealing an east–west symmetrical distribution pattern, with Guiyang city located on the central axis. (2) There are significant regional differences in the spatial distribution of the level of economic resilience between the two periods. Under the impact of COVID-19, from 2019 to 2022, although the overall level of economic resilience increased, the level of resilience in most counties tended to decrease. (3) Regarding the mediating effect, population shrinkage affected the level of economic resilience through general public budget expenditure, foreign trade investment, new urban employment, and GDP. The abovementioned findings are helpful for providing theoretical support and empirical guidance for the sustainable development of mountain cities in the face of population contraction, economic challenges, and promoting regional coordination.

Government‐nonprofit partnerships outside the contracting relationship have become an increasingly important mechanism in financing and supporting public service provision. However, the relationship between these partnerships and public funding allocation remains unclear. We articulate two competing mechanisms—the substitution mechanism and the exchange mechanism—and empirically test them with a unique geocoded dataset of public park capital projects allocation in New York City. Our findings indicate that parks units supported by government‐nonprofit partnerships are likely to receive more public capital project funding, which supports the exchange mechanism. In addition, larger parks with a more populous community surrounding them get more public capital funding allocation. As governments at all levels are seeking new ways to finance and manage public service provision, many more empirical studies in other service subsectors, time periods, and geographical contexts are required to draw more general conclusions about how government‐nonprofit partnerships may influence public funding allocation and how such dynamics may compromise or promote equitable public service provision.

The article concerns the analysis of trends and policies supporting the development of zero-emission mobility, in accordance with the assumptions of the European Green Deal. The aim of the study is to identify and assess the essential factors determining the level of sustainability of the electromobility system in relation to individual car transport in the European Union. he article reviews strategies for the development of climate-neutral mobility as outlined in strategic documents, the European Green Deal and the “Fit for 55” package. The current state of development of the electric vehicle market and charging infrastructure is shown, which implies a number of challenges in the pursuit of emission-free mobility. A review of the literature on the subject and the results of the expert analysis confirmed the importance of national and regional policies in the uptake of electric vehicles. Taking active measures to increase the level of sustainability of the electromobility system should first focus on the further development of charging infrastructure, the creation of an EV battery value chain and the uptake of cars. The main expectations for the development of electromobility are to reduce CO2 emissions, reduce dependence on the supply of fossil fuels, increase the competitiveness and innovation of the economy, and reduce the social costs generated by transportation.

The development potential of the metalworking industry of the Russian Federation is currently very high, but it requires the provision of certain conditions for its implementation. A significant condition for the sustainable development of metalworking industry enterprises is to ensure a high level of economic resilience. In addition, the principle of economic resilience must be introduced at the strategic level of management. The first stage in building a strategic management system that includes this principle is assessing the level of economic resilience. At the moment, no effective methodological tools have been developed for assessing the economic resilience of metalworking enterprises, which makes the research topic very relevant. The purpose of the study is to develop methodology tools for assessing the economic resilience of metalworking enterprises. The objectives of the study are: identifying the essence of the concept of “economic resilience”; assessing the macroenvironment of the metalworking industry using PEST analysis; conducting a SWOT analysis of the metalworking industry to identify the most significant areas for assessing the economic resilience; conducting a SPASE analysis to determine the areas within which it is necessary to highlight indicators for assessing the economic resilience in one of the information security projections – cybersecurity. Research methods: comparative analysis, PEST analysis, SWOT analysis, SPASE analysis, expert assessments. The result of the study is the development of methodology tools for assessing the economic resilience of metalworking enterprises. The authors conclude that the level of economic resilience of a particular enterprise depends on many factors; however, the most significant of them are the stage of the life cycle at which the enterprise is located and the management model followed by the management of the enterprise.

The Industry 4.0 idea influences the development of both charging stations and electromobility development, due to its emphasis on device communication, cooperation, and proximity. Therefore, in electromobility development, growing attention is paid to chargers’ infrastructure density and automotive electric vehicles’ accessibility. The main goal of this scientific paper was to present the electromobility development represented in the number of charging stations and its infrastructure development calculations. In this study, the sequence of methods was used to indicate and explore the research gap. The first was the Structured Literature Review (SLR) variation method. The second method was the classical tabular comparison of gathered results. The third research method was a cluster analysis based on secondary data with cross-country comparisons of the number of charging stations and electric cars. Therefore, this paper presents a theoretical discussion and practical business implications based on the achieved results of clusters and rankings. The main finding of this paper is that charging stations play a pivotal role in electromobility development in countries with already developed road infrastructure and maritime transportation. The charging stations can support energetic infrastructure, especially in countries with vast geographical distances. The charging stations and electric vehicles statistics presented in ratios and ranks proved similarities in the electromobility development patterns in the analyzed countries. This paper also presents the limitations of the performed study and identifies possible future research avenues.

The increased interdependence and complexity of modern societies have increased the need to involve all members of a community into solving problems. In times of great uncertainty, when communities face threats of different kinds and magnitudes, the traditional top-down approach where government provides solely for community wellbeing is no longer plausible. Crowdsourcing has emerged as an effective means of empowering communities with the potential to engage individuals in innovation, self-organization activities, informal learning, mutual support, and political action that can all lead to resilience. However, there remains limited resource on the topic. In this paper, we outline the various forms of crowdsourcing, economic and community resilience, crowdsourcing and economic resilience, and a case study of the Nepal earthquake. his article presents an exploratory perspective on the link can be found between crowdsourcing and economic resilience. It introduces and describes a framework that can be used to study the impact of crowdsourcing initiatives for economic resilience by future research. An initial a set of indicators to be used to measure the change in the level of resilience is presented.

Humans and nature cannot be separated because both have a close relationship as an ecosystem. The purpose of this study was to determine: 1) the level of social and ecological resilience; 2) Scenarios on ecological and social factors for the sustainability of protected forests. The research method uses survey methods and data analysis uses qualitative-verification analysis based on the results of the calculation of the resilience index and the phase of the socio-ecological system. The results showed that the level of social and economic resilience was partially or simultaneously at the level of resilience with their respective indexes: social: 0.6944); ecology: 0.8148 and socio-ecology 0.7460. The exploitation phase (growth) leads to the conservation phase. The results of the scene show that both of them are at a high level of resilience with a resilience index of 0.8889 (high resilience) and a reorganization phase. If this phase can be maintained with various management interventions according to its function, it will minimize the level of disturbance to the Mount Sirimau Protection Forest Group.

This study presents an innovative approach to measuring economic resilience at a sectoral level. The notion of economic resilience is explored through the lens of levels of resilience of the main functions of a researched economic sector. The overall level of sectoral economic resilience is seen as a weighted sum of resilience indexes related to its main economic functions. Such a comprehensive approach is universal, as it allows to measure economic resilience of various economic sectors. For the empirical application, the agricultural sector of Lithuania was selected for analysis of resilience. The results revealed that the overall level of resilience declined in Lithuanian agricultural sector during 2012–2019. Such a persistent trend may pose an increasing risk for food security in Lithuania in the future. The most evident negative changes in the economic resilience levels are observed in terms of economic viability of farms. The most robust levels of economic resilience are indicated in the sense of ability to provide local food at affordable prices.

Marine economy is a valuable pillar for the development of coastal areas. It is of profound significance to explore the influence of marine economy development on economic resilience of coastal areas. This paper constructs an economic resilience assessment framework based on resistance, adaptability, and evolutionary power, adopts the entropy method to calculate the economic resilience development level in China’s coastal areas from 2006 to 2019, and examines in detail the driving factors affecting the economic resilience from the indicator level. Furthermore, panel regression models are used to explore the influence of marine economic development on the economic resilience of China’s coastal areas and its mechanism of action. The results show that: (1) China’s coastal areas have an overall trend of rising economic resilience. The spatiotemporal differentiation characteristics of different economic resilience factors are significant. (2) Factors such as regional economic scale, innovation input, industrial transformation, resident income, consumption scale, degree of marketization, and financial scale are key factors to enhance the economic system resilience of coastal areas. (3) There is a significant positive impact of the marine economy on the economic resilience of coastal areas, and this promotion effect is regulated and constrained by the level of diversification of marine industries and the level of concentration of marine industries. (4) Heterogeneity analysis shows that there are significant individual differences in the impact of Marine economy on economic resilience, and its marginal effect first increases and then decreases. The corresponding policy implications are further analyzed based on the research results.

In the face of shocks, a region’s economic resilience decides whether it can quickly recover or slip into long-term economic stagnation. This study took 2801 counties in China as the research object and distinguished them into long-term and short-term economic resilience by taking 2007–2020 as the research time period, and used spatial autocorrelation, the semi-variance function, and the geodetector method to analyze the spatial evolution pattern and driving mechanism of economic resilience of China’s counties in different time periods. The research found that: (1) From a long-term perspective, the economic resilience of China’s counties was dominated by the moderate level of resilience, and although its characteristics varied slightly over time, the overall performance showed that the level of resilience was increasing. Over time, the number of counties with very high levels of resilience has been increasing, and the number of counties with very low levels has been gradually decreasing. (2) In terms of spatial layout, China’s county economic resilience exhibited spatial autocorrelation, with similar areas clustered and distributed spatially, with high-high concentration (H-H) and hot spot (99% confidence) areas distributed in the eastern coast and its hinterland, and low-low concentration (L-L) and cold spot (99% confidence) areas distributed in Inner Mongolia and the northeast. The evolution of its spatial pattern was influenced by both stochastic and structural factors, and the spatial divergence was mainly reflected in the northeast–southwest direction, while the northwest–southeast direction was more balanced. (3) Long-term economic resilience and short-term economic resilience had different influencing factors. The industrial structure diversification index, which characterized economic factors, could significantly improve the long-term economic resilience of cities, while the influencing factors of short-term economic resilience differed from period to period.

The increased interdependence and complexity of modern societies have increased the need to involve all members of a community into solving problems. In times of great uncertainty, when communities face threats of different kinds and magnitudes, the traditional top-down approach where government provides solely for community wellbeing is no longer plausible. Crowdsourcing has emerged as an effective means of empowering communities with the potential to engage individuals in innovation, self-organization activities, informal learning, mutual support, and political action that can all lead to resilience. However, there remains limited resource on the topic. In this paper, we outline the various forms of crowdsourcing, economic and community resilience, crowdsourcing and economic resilience, and a case study of the Nepal earthquake. his article presents an exploratory perspective on the link can be found between crowdsourcing and economic resilience. It introduces and describes a framework that can be used to study the impact of crowdsourcing initiatives for economic resilience by future research. An initial a set of indicators to be used to measure the change in the level of resilience is presented.

Based on the tourism industry economic panel data, this research divides and measures the tourism industry’s economic resilience cycle in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by constructing a counterfactual function and exploring the evolution of its Spatial-Temporal difference characteristics in the past 20 years. Estimation results show that three out of the four Recession–Recovery cycles of GBA have been characterized as “creative destruction”. Moreover, the economic resilience values and fluctuation trends of the individual tourism industries in the GBA are quite different. Additionally, the economic resilience of the urban tourism industry has changed from centralized to discrete, and the trend of economic resilience of the tourism industry has changed from low toughness to concentrated. This study expands the practice of resilience theory in the tourism industry economy, and it reveals the difference of tourism industry resilience in the metropolitan area system of GBA urban agglomeration from the perspective of industrial economic resistance and resilience.

Economic resilience provides a new perspective for megacities to achieve sustainable development when facing multiple shocks, and its accurate evaluation is an essential prerequisite for optimizing urban governance. There are currently no generally accepted methods for empirical evaluation or measuring economic resilience, and the present study aims to contribute to in both the research field and methodology. The present study sets dimensions and indicators based on economic resilience's theoretical and empirical research and used Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interactive Structural Modeling (ISM) methods to exclude the effect indicators and divide the indicator hierarchy, respectively. Subsequently, the present study conducts model validation using Chinese megacities as a case study. The game theory weighting method, which combines the Analytic Hierarchy Process (AHP) and Entropy methods, is used to calculate indicator weights, and the VIKOR (VIseKriterijumska Optimizacija i KOmpromisno Resenje) method is used to evaluate and compare economic resilience of megacities. The research findings indicate that the evaluation model constructed in the present study included 15 indicators (after excluding three effect indicators) divided into four levels. After merging the levels, they correspond to three dimensions: resistance, recoverability, and adaptability. In addition, using Chinese megacities as a case study, the evaluation results found that Beijing, Shanghai, and Shenzhen have high economic resilience, Tianjin and Guangzhou have moderate economic resilience, Chengdu has low economic resilience, and Chongqing has the lowest economic resilience. This result is consistent with previous studies and verifies the model's effectiveness. The present study also found that megacities with lower levels of economic resilience exhibit a more significant upward trend, as well as the highest and higher proportion of economic resilience in Chinese megacities depending on time passes, indicating that megacities' economic resilience is weakening. The evaluation result obtained in the present study is more specific, precise, and focused on depicting the distribution differences and development trends of economic resilience at the urban level.