Digital economy and carbon emission: The coupling effects of the economy in Qinghai region of China.

This study provides an in-depth analysis of the complex relationship between the digital economy and carbon emissions, fully drawing on essential principles of environmental economics, coupled economics, and sustainable development theory. Focusing on the Qinghai region in the western province of China, the study employs highly sophisticated methods such as multiple regression analysis and system dynamics modeling to reveal the multidimensional coupling effects between digital economy development and carbon emission dynamics. The study's results clearly show that in the Qinghai region of China, the booming growth of the digital economy is related to carbon emissions. Of particular interest, the study finds that this relationship exhibits a high degree of complexity and non-linearity and evolves gradually over time. Initially, the rapid expansion of the digital economy, accompanied by high energy consumption and increased carbon emissions, posed a significant challenge to environmental protection. However, a clear inverted "U"-shaped relationship has emerged as the digital economy evolves. This key inflection point signals a shift in the landscape as the digital economy begins to deliver some ecological benefits, potentially reducing the trend of carbon emissions in the future. The findings of this study go beyond simple causality and reveal a complex and evolving dynamic relationship between the digital economy and carbon emissions. Through such insights, this study provides a solid academic foundation and carefully constructs actionable policy recommendations to drive sustainable development. These insights apply to the Qinghai region of China and provide valuable references and lessons for other areas facing similar challenges.

What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology-Organization-Environment framework.

BACKGROUND AND OBJECTIVES: Addressing climate change and reducing greenhouse gas emissions have emerged as shared global objectives. Enhancing the development performance of low-carbon cities has become an urgent and widely acknowledged concern for both government policy-making departments and academics. Drawing upon the complex grouping perspective and resource allocation theory, this study investigates how varying conditions related to technology, organization, and environment in Chinese low-carbon pilot cities can effectively allocate resources to shape the governance performance of low-carbon cities. METHODS AND DATA: This paper employs a comprehensive grouping analysis perspective, treating the research object as a combination of various ways between condition variables. It integrates the advantages of case studies and variable studies, and investigates the collective relationships between elemental groupings and outcomes using the fsQCA analysis method. This approach facilitates the understanding of multiple concurrent causal relationships within the technology-organization-environment (TOE) framework, accounting for different performance levels in Chinese low-carbon pilot cities, as well as addressing complex causal issues such as asymmetry and multiple scenario equivalence. Data from 30 representative low-carbon pilot cities in China were employed to validate the TOE theoretical framework. CONCLUSION: No single element alone can be considered a necessary condition for low-carbon city governance performance. However, environmental enhancement plays a more prominent role in the governance performance of low-carbon cities. Additionally, the presence of "multiple concurrent" technical, organizational, and environmental conditions leads to a diverse range of governance performance in Chinese low-carbon pilot cities. In other words, the driving paths of low-carbon city performance exhibit distinct pathways. CONTRIBUTION: The findings of this study can assist low-carbon pilot city managers in generating effective governance ideas, facilitating the successful implementation of low-carbon city pilot projects, and drawing valuable lessons from the experience of low-carbon city development in China.

[Health economics analysis of specific immunotherapy in allergic rhinitis accompanied with asthma].

OBJECTIVE: To investigate the cost-effectiveness of standardized specific immunotherapy (SIT) for allergic rhinitis patients accompanied with asthma (ARAS) in China. METHOD: Forty ARAS patients sensitized with house dust mite (HDM) were administered with SIT (SIT group) or merely medicine treatment (control group). Alutard dermatophagoides pteronyssinus vaccine from ALK company was used for immunotherapy. The usage of symptom control medicine was according to the ARIA and GINA guideline. Cost-effectiveness ratio (CER) and Incremental cost-effectiveness ratio(ICER) analysis was conducted. The effectiveness was measured in terms of symptom scores, quality of life, objective improvement of rhinitis and asthma. Sensitive analysis was conducted to verify the stability of the results. RESULT: The cost of SIT group for 1 year (6578 yuan) was higher than that of control group (1733.3 yuan), while the cost-effectiveness ratio and incremental cost-effectiveness ratio of SIT group were significant better than that of control group in all items. CER was 1686.7 yuan in SIT group compared with 3466.6 yuan in control group for nasal symptom scores, 4698.6 yuan in SIT group compared with 5777.8 yuan in control group for asthma symptom scores, 3462.1 yuan in SIT group compared with 8666.7 yuan in control group. The sensitive analysis of the price 10 percent higher or lower showed the same results. CONCLUSION: The cost-effectiveness of specific immunotherapy (SIT) for mite sensitized ARAS patients was better than that of merely medicine treatment.