Research on rheumatic heart disease from 2013 to early 2024: a bibliometric analysis.

Objectives: The aim of this bibliometric analysis was to highlight potential future areas for the practical application of research on rheumatic heart disease (RHD), considering past and current research efforts.

Methods: A systematic search was conducted in the WoSCC to find articles and reviews focused on RHD published between 2013 and 2024. Microsoft Excel 2019 was used to chart the annual productivity of research relevant to RHD, while ArcGIS (version 10.

Synergistic allocation of carbon emission and energy quotas: A balancing act under carbon peaking constraints.

Carbon emissions quotas (CEQ) and energy quotas (EQ) have been recognized as effective policy tools for promoting energy conservation and emission reduction. However, existing methods have considerable limitations in meeting the phased requirements of carbon peaking constraints and synergistically allocating EQ and CEQ. Therefore, we propose a synergistic allocation method for CEQ and EQ to balance economic development and environmental sustainability under carbon peak constraints.

Improving energy-related efficiency towards SDG7 in China: What role does energy poverty play?

The improvement of energy-related efficiency has promoted energy-sustainable development in China; however, it may be inhibited by energy poverty. This paper constructs an index system to measure China's energy poverty. Subsequently, we evaluate energy-related efficiency towards SDG7 comprised of energy production efficiency and energy sustainable utilization efficiency using a dynamic two-stage data envelopment analysis model.

How does Information and Communication Technology (ICT) industry agglomeration affect carbon emission efficiency? Evidence from China.

The Information and Communication Technology (ICT) industry takes on critical significance in promoting economic development and reducing carbon emissions. From the agglomeration perspective, how the ICT industry agglomeration affects carbon emission efficiency (CEE) in 30 provinces in China from 2006 to 2020 is innovatively investigated. We measured CEE using a dynamic directional distance function-based DEA model.

Layer-by-layer investigation of the black box: A case of assessing the industrial water-related system in China.

The essence of efficiency measurement is to model and estimate the performance of a complex system in a comparable form, and the key to modeling is to make the model as close to reality as possible. Based on data envelopment analysis (DEA) methods, this research proposes a layer-by-layer investigation framework for the black box. To illustrate the rationality of this logical framework, this paper presents a triple-opened dynamic recycling model with a series-parallel structure that allows us to assess the efficiency of the industrial water-related system in China.

A bootstrapping dynamic two-stage SBM model: An application to assess industrial water use and health risk systems.

Despite the great number of applications of bootstrapping data envelopment analysis (DEA) with a one-stage structure, there are limited attempts for approximating the distribution of the DEA estimator considering the two-stage structure across multiple periods. This research develops the dynamic two-stage non-radial DEA model based on smoothed bootstrap and subsampling bootstrap. Then, we run the proposed models on assessing the efficiency of China's industrial water use and health risk (IWUHR) systems and compare them with the bootstrapping results on standard radial network DEA.

Impact of extreme temperatures on the performance evaluation of China's work-related injury insurance system.

With the influence of climate change resulting in more extreme days, a rise in the number of work-related injuries could be expected. The literature has addressed the performance evaluation of a work-related injury insurance (WII) system via a two-stage structure with input/output correlation as well as the impact of extreme temperatures under different scenarios. This article thus evaluates the performance of a system comprised of operational and service sub-systems under three scenarios of extreme temperatures and proposes a hybrid two-stage dynamic data envelopment analysis (DEA) model with nondiscretionary variables for measuring integrated WII efficiency under the three scenarios.

Measuring industrial operational efficiency and factor analysis: A dynamic series-parallel recycling DEA model.

Countries are now struggling to improve their recycling efficiency of an industrial operational system to achieve the Sustainable Development Goals, yet scant studies have viewed the series-parallel recycling structure of the system based on data envelopment analysis (DEA). This research divides the system into industrial production and industrial waste treatment (IWT) processes connected serially, while the IWT process is further separated into treatment sub-units for wastewater, waste gas, and solid wastes connected in parallel. We propose a dynamic series-parallel recycling DEA model within a directional distance function to measure efficiency and discuss the efficiency relationship among the system, processes, and sub-units.

Sector linkages and driving forces of Chinese household CO emissions based on semi-closed input-output model.

For decades, the rapid urbanization and economic development in China inevitably lead to the increase of household energy demand and CO emissions. Existing studies regard the household sector as an exogenous sector unrelated to production, ignoring that the wages, goods, and services provided by production sectors will affect the consumption of the household sector. This paper analyzes the impact of the household sector on production sectors and the total CO emissions by establishing a semi-closed environmentally extended input-output model in China from 2007 to 2017.

Measuring urban integrated water use efficiency and spatial migration path in China: A dynamic two-stage recycling model within the directional distance function.

Improving water use efficiency from a recycling perspective is claimed to be a better way to ensure prosperity in a water-stressed world. Although many studies have focused on the efficiency of integrated water use system, such as a water use and wastewater treatment (WUWT) system, few studies have observed the dynamic change involving a two-stage recycling structure. This research thus proposes a dynamic two-stage recycling model within the directional distance function (DDF) by taking reused water in the WT stage as a recycled product for WU stage's input in the next period.

Assessing integrated industrial water use and healthcare systems: efficiencies and its dynamic evolution.

Water pollution caused by heavy metal leaves human beings exposed to various health risks. Although many studies have focused on the efficiency of industrial water use (IWU) systems, few studies further address analysis for the harmful effect of heavy metal polluted water on human health. This paper first considers both IWU and healthcare (HC) systems as an integrated two-stage IWUHC system.

Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint.

Objectively evaluating the decoupling status of water resources utilization and economic development is an important sign of judging the sustainability of regional economic development. From the perspective of water footprint (WF), this paper expands the scope of water resources accounting by assessing agricultural blue WF, green WF and gray WF. The Tapio decoupling index was used to explore the decoupling status of agricultural WF and economic development in Gansu Province from 2006 to 2015, and the logarithmic mean divisor index (LMDI) decomposition model was used to identify the main driving factors of agricultural WF changes and explore the degree of divergence between agricultural economic development and water resources utilization.

Carbon emissions in the transportation sector of Yangtze River Economic Belt: decoupling drivers and inequality.

Carbon emissions in the transportation sector are of great concern, since they are the third leading contributor to China's carbon emissions. This research examines the decoupling relationship between economic outputs and carbon emissions of 11 provinces in 2000-2016 by focusing on Yangtze River Economic Belt (YREB), which is the densest traffic and economic corridor in China. Although many studies have focused on the decoupling state and its driving forces between economic outputs and carbon emissions, few studies further addressed the microscale analysis for decoupling drivers.