Interlinkages between Indicators of Sustainable Development Goals: Evidence from Seven Low Income and Lower Middle-Income Countries

In 2015, 17 Sustainable Development Goals (SDGs) were adopted by member states of United Nations as a blueprint to achieve a better and more sustainable future for all. Up to date, the global indicator of framework of SDGs has 247 indicators (including repetitive indicators), which monitor progress of achieving the SDGs. The interlinkages and integration of SDG indicators have attracted attention from scholars and practitioners, however, there is limited existing knowledge of the interlinkages and interactions between SDG indicators in low income and lower middle-income countries. This article therefore uses data from seven low income and lower middle-income countries to analyze the interlinkages between SDG indicators 9.2.1 and 9.4.1, which monitors the level of industrialization and energy efficiency in manufacturing sector respectively. It is widely believed that higher level industrialization will reduce energy emission per manufacturing value added. However, the results suggest that beyond traditional knowledge, in the seven selected countries, SDG indicators 9.2.1 and 9.4.1 are positively associated with each other. A possible reason of this unconventional finding is the country context, as in low income and lower middle-income countries the manufacturing industries are usually not energy-extensive, although not technology-intensive either. This article also calls for holistic and integrated approaches to use and interpret SDG indicators in line with the national and regional context

Higher education and Sustainable Development Goals during COVID-19: coping strategies of a university in Wuhan, China

Background: It is widely perceived that COVID-19 has significant influence on higher education and also contribution to development including Sustainable Development Goals (SDGs). However there is insufficient evidence about investigations on such influences, especially at micro level. Design and method: A university located in Wuhan, China, is selected for the case study to explore how COVID-19 affects higher education and how universities’ coping strategies of COVID-19 can contribute to SDGs. The method is an analysis of 32 institutional documents published by the university. Results: The university in the case study has taken a number of coping strategies of COVID-19, largely in four aspects including medical services, online education, logistic support, and graduate employment promotion. These coping strategies contribute to achieving SDGs, especially SDGs 1, 3, 4, 5, 8, and 10. Conclusions: The case study provides micro-level empirical evidence, which supports that appropriate university coping strategies of COVID-19 can contribute to SDGs, even it is widely perceived that the pandemic has brought strong negative impact on higher education and sustainable development. The selection of a university in Wuhan, China, can generate more practical implications, as Wuhan is the first city that experienced the unprecedented lockdown, and China is the first country that reopened university campuses after the lockdown

Child Stunting and Land Degradation under the Sustainable Development Goals (SDGs): Evidence from 23 Developing Countries

Child stunting and land degradation have received an increasing attention from scholars and practitioners. Both of them are also measured by indicators under the Sustainable Development Goals (SDGs). However, the research on the relationship between child stunting and land degradation is insufficient, especially with the perspective of SDGs. This article uses empirical data of 23 developing countries to explore the relationship between child stunting and land degradation, with the controlling of GDP per capita of the selected countries. Path analysis is added into the traditional OLS method. The results show that land degradation has little impact on child stunting in the selected developing countries, but socioeconomic status affect child stunting significantly. A number of explanations and implications are generated. In particular, several developing countries’ strong reliance on food importation may be a reason of why land degradation does not affect child stunting. The interactions between different SDGs are also noted

Chinese universities’ special programs supporting talents to seek a United Nations career:a center-periphery-model analysis

In recent years, China’s higher education sector has started to establish special programs to train and support talents to seek career opportunities in the United Nations (UN). To explore these special programs and understand their relationship with China’s internationalization strategies and its higher education, we used the center-periphery model as the theoretical framework. We analyzed 53 institutional documents and conducted semi-structured interviews among 5 university staff members and 21 students/recent graduates who were involved in these special programs. The analysis on the special programs implied Chinese higher education’s peripheral position in supporting talents to work in the UN. This was reflected by the conforming practice, including accepting current UN recruitment regulations and English’s dominance in the UN recruitment practice. However, we also identified alternative dynamics that China and its higher education do not simply obey the center-periphery model and accept their peripheral status. Instead, special programs were established to achieve China’s global strategy of moving to the center of international arena via multilateralism and international organizations such as the UN. This study sheds light on further explorations of the state-university relationship in China in the globalization era, especially from the perspective of cultural diplomacy and soft power

BOIN: An R Package for Designing Single-Agent and Drug-Combination Dose-Finding Trials Using Bayesian Optimal Interval Designs

This article describes the R package BOIN, which implements a recently developed methodology for designing single-agent and drug-combination dose-finding clinical trials using Bayesian optimal interval designs (Liu and Yuan 2015; Yuan, Hess, Hilsenbeck, and Gilbert 2016). The BOIN designs are novel "model-assisted" phase I trial designs that can be implemented simply and transparently, similar to the 3 + 3 design, but yield excellent performance comparable to those of more complicated, model-based designs. The BOIN package provides tools for designing, conducting, and analyzing single-agent and drug-combination dose-finding trials

Measurement of SiPM gain and photon detection efficiency at different temperatures and bias voltages

Gain and photon detection efficiency (PDE) of silicon photomultipliers (SiPMs) are important characteristics to understand SiPM-based detector systems in low light level applications. In this work, experimental setups are developed to quantify SiPM gain and PDE at different temperatures and bias voltages with a light source of fixed wavelength 405 nm, where a novel light-tight connected device of two integrating spheres is implemented to produce weak light onto SiPM. We present methods and results of the breakdown voltage, gain and PDE measurements for a Hamamatsu S13360-2050VE MPPC. At 25 Celsius, consistent results are obtained with the datasheet from the manufacturer. The temperature and bias voltage dependence of SiPM performances can guide its usage, such as in gain compensation at readout circuits, optical modeling of SiPMs and optimization of operating conditions of SiPM-based detectors.Comment: 9 pages, 14 figure