As the global ecological environment faces serious challenges and extreme climate change threatens the survival of humankind, the promotion of green development has become the focus for all countries in the world. As one of the world’s major greenhouse gas emitters, China has put forward the “twin goals” of achieving carbon peaking and carbon neutrality and is committed to promoting the green and low-carbon transformation of its cities. As the core of economic and social development, cities are the main source of carbon emissions. In response to the dual challenges of carbon emission control and traffic growth, it is particularly important to promote the development of green transportation. With the acceleration of urbanization, urban traffic pollution is becoming more and more serious. As a zero-emission transportation mode, electric vehicles have become a key way to achieve the carbon peak and carbon neutrality targets. In order to deeply analyze the research status of electric vehicles in the field of the green and low-carbon transformation of urban transportation in China and to explore the research hot spots, evolution trends, and their roles and strategies in the construction of green transportation networks, this paper uses the CiteSpace, VOSviewer, and Tableau analysis tools to review and analyze the 2460 articles and reviews in the Web of Science Core Collection (WOS) and 2650 articles and reviews in the China National Knowledge Infrastructure (CNKI), including the “publication volume and publication trend”, “subject citation path”, “countries cooperation and geographical distribution”, “author cooperation and institution cooperation”, “keyword co-occurrence and keywords clusters”, and the “evolution trend of research hot spots in timeline”. The results show that: (1) Since 2010, the research focus on electric vehicles has gradually increased, and especially in the past three years, the number of such publications has increased significantly. (2) China holds the lead in research output regarding electric vehicles and related fields, but its international cooperation needs to be strengthened. (3) In recent years, the research has focused on “energy transformation”, “energy-saving technology”, “carbon emissions”, “battery recycling”, and other relevant topics. The promotion and development of electric vehicles will continue to usher in new opportunities concerning technological innovation, policy support, and market expansion. Finally, based on the research hot spots and evolution trends of electric vehicles in the field of urban green transportation and low-carbon transportation in China, this paper discusses the key paths and strategies for electric vehicles to promote the transformation of urban transportation in China to green and low-carbon types and looks forward to future research directions. The research in this paper can provide theoretical support and practical guidance for China to promote electric vehicles, build low-carbon cities, and realize green transportation. It is expected to act as a useful reference for relevant policy formulation and academic research.

The construction of smart cities, as a key driving force for the low-carbon transformation of the economy, urgently needs a systematic assessment of its carbon emission reduction potential. Based on the panel data of 277 cities in China from 2007 to 2021, this study adopts innovative methods, integrates bibliometric analysis, and employs empirical models to deeply explore the impact of smart city construction on carbon emissions and its regional heterogeneity and resource endowment heterogeneity. The main findings are as follows: (1) The research on smart cities and carbon emissions present knowledge synergy, focusing on innovation and green development strategies. (2) A series of robustness tests show that smart city construction can significantly reduce urban carbon emissions. (3) Heterogeneity analysis reveals that the carbon emission reduction effect varies between regions (more significant in the northern region) and with resource endowments (non-resource-based cities are more advantageous). The important contribution of this study lies in its quantitative assessment of the carbon emission reduction effect of smart city construction, as well as its heterogeneity; this study also provides a solid empirical basis for formulating more targeted regional smart city development policies.

Under the dual pressures of climate warming and accelerated urbanization, agricultural ecosystems face severe challenges including shrinking land resources and intensifying non-point source pollution. While smart city initiatives can deliver technological support for coordinated urban–rural ecological governance, extant literature largely overlooks agricultural perspectives and urban–rural interactive mechanisms, leaving the underlying transmission channels underexplored. Using panel data from 264 prefecture-level cities in China over the period 2005–2022, this study incorporates agricultural technological innovation into the policy evaluation framework. Employing a multi-period difference-in-differences model, we estimate the dynamic policy-associated effects of the smart city pilot policy on urban ecological resilience, and conduct heterogeneity and mediation analyses. Our findings indicate that: first, the smart city pilot is positively associated with urban ecological resilience, with the effect exhibiting a 2-year lag. Second, this association varies significantly across city types, with more pronounced policy-associated effects observed in large cities, non-resource-based cities, and non-old industrial bases. Third, human capital accumulation and agricultural technological innovation serve as two core transmission channels. This study provides empirical evidence for the mechanism through which smart cities may enhance ecological resilience via agricultural technological innovation, and offers policy references for the coordinated development of smart cities and eco-agriculture tailored to different city characteristics. This paper constructs an interdisciplinary logic of digital governance, ecological optimization and urban agriculture, and clarifies how smart city infrastructure improves the basic ecological conditions supporting crop production and regional food security.