How do industrial land transfer modes impact carbon emissions? An intermediation perspective based on industrial structure.

Industrial land is currently the main carrier and important source of global carbon emissions, and as the world's largest developing country, China's large-scale and diversified industrial land supply has made it the world's largest carbon emitter. Therefore, researching the impact of different supply methods of industrial land on carbon emissions and its impact paths in China can help provide a reference for other countries to reduce carbon emissions from the perspective of urban industrial land management, which is of great significance for effectively promoting global carbon reduction. Based on this, this paper analyses the impact of different supply methods of industrial land on carbon emissions and its urban heterogeneity using the SYS-GMM and chain-mediated effects models for 285 cities in China from 2008 to 2020. The study found that, in general, the impact of different industrial land transfer modes on carbon emission has hysteresis and persistence. Agreement and listing transfer with government intervention can significantly exacerbate carbon emissions, while more market-based bidding and auction transfer can dampen carbon emissions. In terms of intermediary effects, the transfer of industrial land by agreement and listing will inhibit the rationalization and advancement of industrial structure, thus aggravating carbon emissions. The transfer of industrial land by bidding and auction will create barriers to entry and a crowding-out effect, promote the rationalization of industrial structure and the transformation and upgrading of industrial structure and moderate carbon emissions. In terms of city heterogeneity, there is urban heterogeneity in the impact of industrial land transfer on carbon emissions in cities with different economic types. Bidding and auction transfer for industrial land in both economically developed and less developed cities can promote carbon pollution. While the more developed urban economy makes the intermediary effect of industrial structure not significant. In the future, it is necessary to strictly control the scale of industrial land supply; the whole process supervision mechanism of industrial land allocation and differentiated industrial land supply strategies will provide useful experience for many developing countries in allocating industrial land to mitigate carbon emissions, generating effective contributions to global carbon emission reduction.

How does market-oriented allocation of industrial land affect carbon emissions? Evidence from China.

Industrial land serves as the fundamental basis for urban economic development and significantly contributes to carbon emissions. Effective market mechanisms are crucial for reducing carbon emissions. As such, investigating the impact of market-oriented allocation of industrial land (MAIL) on carbon emissions and its pathways is of substantial practical importance for global low-carbon development. This study constructs a theoretical framework examining the influence of MAIL on carbon emissions, focusing on 285 Chinese cities from 2003 to 2020. The spatial econometric model is employed to analyze the impact of MAIL on carbon emissions. The results show that: first, from a national perspective, MAIL not only reduces carbon emissions within a region but also in neighboring regions. Higher MAIL leads to more effective carbon emission reductions, which are persistent and hysteresis in time. Path analysis demonstrates that MAIL reduces carbon emissions by promoting industrial upgrading and technological innovation. Second, there are differences in the timeliness of carbon emission reduction effects in cities of different scales and regions. For cities of different scales, the carbon reduction effect of MAIL is more stable in large and medium cities compared to megacities and small cities, but in the short term, MAIL will hinder the industrial upgrading of megacities and thus is not conducive to carbon reduction. For different regional cities, the carbon reduction effect of MAIL is more stable in other regions except northeast region, and in the short term, MAIL will inhibit technological innovation in northeast region, which is not conducive to carbon reduction. Consequently, it is essential not only to design a top-level reform plan for MAIL in China but also to establish differentiated reform policies for MAIL, tailored to the unique characteristics of cities with different scales and regions, to effectively reduce carbon emissions.

Modeling interaction of Glioma cells and CAR T-cells considering multiple CAR T-cells bindings.

Chimeric antigen receptor (CAR) T-cell based immunotherapy has shown its potential in treating blood cancers, and its application to solid tumors is currently being extensively investigated. For glioma brain tumors, various CAR T-cell targets include IL13Rα2, EGFRvIII, HER2, EphA2, GD2, B7-H3, and chlorotoxin. In this work, we are interested in developing a mathematical model of IL13Rα2 targeting CAR T-cells for treating glioma. We focus on extending the work of Kuznetsov et al. (1994) by considering binding of multiple CAR T-cells to a single glioma cell, and the dynamics of these multi-cellular conjugates. Our model more accurately describes experimentally observed CAR T-cell killing assay data than the models which do not consider multi-cellular conjugates. Moreover, we derive conditions in the CAR T-cell expansion rate that determines treatment success or failure. Finally, we show that our model captures distinct CAR T-cell killing dynamics from low to high antigen receptor densities in patient-derived brain tumor cells.