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This study investigates the environmental and economic impacts of the Kyoto Protocol on Annex I parties through an impact assessment by combining the propensity score matching and the difference-in-difference methods. We establish a country-level panel data set including CO.sub.2 emissions, gross domestic product (GDP), and other socioeconomic data for 1997-2008 and 2005-2008. Based on the impact evaluation, we conduct the simulation predicting the impacts of the Protocol to capture the differences of marginal damage cost of carbon emissions between the actual and counterfactual situations. The results suggest that participating as an Annex I party has a significant positive impact on CO.sub.2 emission reductions, but a negative impact on the GDP of the participants in the long run. The predicted marginal benefit of the Protocol based on the marginal damage cost of carbon emissions shows that the marginal benefit of emission reductions mitigates a limited portion of the GDP loss. Future global climate change frameworks should focus on balancing the impact on economic and environmental performance in order to ensure sustainable development, especially for developing countries that have low capacity to mitigate emissions.

This study investigates the role of technological innovation in increasing the effectiveness of the Kyoto Protocol in terms of greenhouse gas (GHG) mitigation. Panel data showing the number of patents for climate change mitigation technology as a measure of innovation are obtained from 54 countries for the period 1990-2015 to verify whether technological innovation is effective in reducing GHG emissions and whether it has a significant synergetic relationship with the Kyoto Protocol. The historical trends in the number of patents for climate change mitigation technology reveal a relationship between the Kyoto Protocol and technological innovation and show differences between specific types of mitigation technology. Based on these innovation data, this study conducts two-stage least squares analysis that considers the time-lag effect. The empirical results confirm that mitigation innovations for buildings and the production or processing of goods have a strong positive association with GHG emission reduction. The findings also support the long-term synergetic effect between innovation and participation in the Kyoto Protocol in terms of GHG mitigation. This study contributes to international climate change governance by providing empirical evidence for technological innovation's role in strengthening the effectiveness of international regimes and implications for promoting open innovation.

Although 30 years have passed since the Convention on Biological Diversity (CBD) was adopted in 1992, few attempts have been made to evaluate its impact on protected areas. This study investigates the relationship between participation in the CBD and conservation effort in member countries, using an original dataset of 169 countries from 1992 to 2015. Our measure of conservation effort is the percentage of a country’s terrestrial area under protection, which is the primary mechanism for achieving the CBD’s conservation as distinct from its sustainable use or access and benefit-sharing objectives. We consider how protected area expansion relates to membership of the CBD, and a set of socio-economic and political variables that measure both the opportunity cost of conservation and national responsiveness to the demand for public goods. We find a positive and significant relationship between the area under protection, membership of the CBD, and a dummy for the Aichi biodiversity targets-Nagoya protocol. We also find that the area under protection is negatively related to measures of economic development and education (proxies for the opportunity cost of conservation), and positively associated with forest area (a proxy for species richness and endemism). We conclude that, at least for this measure of conservation effort, the CBD has had a significant impact, albeit moderated in predictable ways by the opportunity cost of conservation.

The Paris Agreement represents the notable characteristics of global environmental governance, namely multi-actor and multi-level governance. Despite these changes, limited empirical studies have investigated the actors in global environmental governance who participate in political discourse on climate change. To comprehend whether or not the Paris Agreement’s actors represent the transformation of global environmental governance, we adopted a big-data approach to analyze Twitter’s climate-change discourse. The classification of actors provided an understanding of the diversity of the actors involved in providing public information. We also calculated the closeness centrality and identified the changes in the actors’ influence, comparing the changes in the 5 years since the Agreement was adopted. The results showed an increased diversity of actor types. Non-state actors are not homogeneous in their changes, and Intergovernmental Organizations exhibited an increased influence. The findings indicated that the actors participating in the climate-change discourse post-Paris Agreement partially reflect the changes in global environmental governance.

This study estimates the environmental Kuznets curve (EKC) relationship at the province level in China. We apply empirical methods to test three industrial pollutants—SO2 emission, wastewater discharge, and solid waste production—in 29 Chinese provinces in 1994–2010. We use the geographically weighted regression (GWR) approach, wherein the model can be fitted at each spatial location in the data, weighting all observations by a function of distance from the regression point. Hence, considering spatial heterogeneity, the EKC relationship can be analyzed region-specifically through this approach, rather than describing the average relationship over the entire area examined. We also investigate the spatial stratified heterogeneity to verify and compare risk factors that affect regional pollution with statistical models. This study finds that the GWR model, aimed at considering spatial heterogeneity, outperforms the OLS model; it is more effective at explaining the relationships between environmental performance and economic growth in China. The results indicate a significant variation in the existence of the EKC relationship. Such spatial patterns suggest province-specific policymaking to achieve balanced growth in those provinces.

Ginsenosides can be classified on the basis of the skeleton of their aglycones. Here, we hypothesized that the sugar moieties attached to the dammarane backbone enable binding of the ginsenosides to the sweet taste receptor, eliciting glucagon-like peptide-1 (GLP-1) secretion in the enteroendocrine L cells. Using the human enteroendocrine NCI-H716 cells, we demonstrated that 15 ginsenosides stimulate GLP-1 secretion according to the position of their sugar moieties. Through a pharmacological approach and RNA interference technique to inhibit the cellular signal cascade and using the Gαgust −/− mice, we elucidated that GLP-1 secreting effect of Rg3 mediated by the sweet taste receptor mediated the signaling pathway. Rg3, a ginsenoside metabolite that transformed the structure through a steaming process, showed the strongest GLP-1 secreting effects in NCI-H716 cells and also showed an anti-hyperglycemic effect on a type 2 diabetic mouse model through increased plasma GLP-1 and plasma insulin levels during an oral glucose tolerance test. Our study reveals a novel mechanism where the sugar moieties of ginsenosides Rg3 stimulates GLP-1 secretion in enteroendocrine L cells through a sweet taste receptor-mediated signal transduction pathway and thus has an anti-hyperglycemic effect on the type 2 diabetic mouse model.

This study investigates the environmental Kuznets curve (EKC) for haze in 31 cities and provinces across China using the spatial data for a period of 15 years, from 2000 to 2014. We utilized the geographically weighted regression (GWR) model to consider the spatial non-stationary characteristics of the air quality in a vast territory. This approach allowed us to verify the region-specific characteristics, while the global model estimated the average relationship across the entire nation. Although the EKC for haze was statistically significant in the global models, the results only confirmed the existence of an EKC between the overall air quality and economic performance. Thus, it was difficult to determine the regional differences in an EKC. The results of the GWR model found the spatial variability of each variable and showed significant spatial heterogeneity in the EKC across regions. Although six regions—Beijing, Gansu, Heilongjiang, Jiangxi, Jilin, Liaoning, Shanghai, Tianjin, Xinjiang, and Zhejiang—showed inverted U-shaped EKCs, these were only statistically significant in three big cities—Beijing, Tianjin, and Shanghai. The results demonstrated no EKCs in the other 25 provinces and cities. These results provide strong empirical evidence that there is significant spatial heterogeneity in the EKC of China. Thus, a more regionally specialized air pollution control policy is required to create an effective policy for balanced economic growth in China.

This study tested the environmental Kuznets curve (EKC) hypothesis for climate and air quality indicators—CO 2 , PM10, NO 2 , CO, and O 3 —in relation to economic development and investigated the effect of green infrastructure (GI) in the EKC model. Employing a spatial approach, we utilized microregional data from the 25 autonomous districts in Seoul, South Korea, for 2012–2020. Economic status was measured by housing prices and GI by the ratio of diverse types of green space to the total area. Spatial heterogeneity was visually confirmed and analyzed using Moran’s I statistics. Recognizing the importance of spatial heterogeneity, we employed geographically weighted regression (GWR) models to verify regional variations in the EKC hypothesis testing and the effects of GI. The results indicated significant spatial heterogeneity in the distribution of pollutants and significant spatial autocorrelation with strong clustering for CO 2 and PM10 as well as for economic levels and GI ratios. Although the global model did not confirm the existence of an inverted U-shaped EKC, GWR analysis identified EKC for CO 2 , CO, and O 3 in specific districts. The impact of GI on climate and air quality indicators varied by region and pollutant, contributing to PM10 reduction but an increase in O 3 . Together, these findings suggest the need for localized approaches to environmental policymaking, given that both the EKC relationship and the impact of GI can vary significantly by area and pollutant. This microregional spatial heterogeneity offers an additional foundation for facilitating local policy interventions to address each district’s unique climate and air quality challenges.

Background: Clinical decision support (CDS) can improve health care with respect to the quality of care, patient safety, efficiency, and effectiveness. Establishing a CDS system in a health care setting remains a challenge. A few hospitals have used self-developed in-house CDS systems or commercial CDS solutions. Since these in-house CDS systems tend to be tightly coupled with a specific electronic health record system, the functionality and knowledge base are not easily shareable. A shared interoperable CDS system facilitates the sharing of the knowledge base and extension of CDS services. Objective: The study focuses on developing and deploying the national CDS service for the drug-allergy interaction (DAI) check for health care providers in Korea that need to introduce the service but lack the budget and expertise. Methods: To provide the shared interoperable CDS service, we designed and implemented the system based on the CDS Hooks specification and Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard. The study describes the CDS development process. The system development went through requirement analysis, design, implementation, and deployment. In particular, the concept architecture was designed based on the CDS Hooks structure. The MedicationRequest and AllergyIntolerance resources were profiled to exchange data using the FHIR standard. The discovery and DAI check application programming interfaces and rule engine were developed. Results: The CDS service was deployed on G-Cloud, a government cloud service. In March 2021, the CDS service was launched, and 67 health care providers participated in the CDS service. The health care providers participated in the service with 1,008,357 DAI checks for 114,694 patients, of which 33,054 (3.32%) cases resulted in a “warning.” Conclusions: Korea’s Ministry of Health and Welfare has been trying to build an HL7 FHIR-based ecosystem in Korea. As one of these efforts, the CDS service initiative has been conducted. To promote the rapid adoption of the HL7 FHIR standard, it is necessary to accelerate practical service development and to appeal to policy makers regarding the benefits of FHIR standardization. With the development of various case-specific implementation guides using the Korea Core implementation guide, the FHIR standards will be distributed nationwide, and more shared interoperable health care services will be introduced in Korea.