Suchergebnisse

This book systematically analyzes how and why China has expectedly lost and then surprisingly gained ground in the quest to solve the complicated environmental problem of air pollution over the past two decades. Yuan Xu shines a light on how China's sulfur dioxide emissions rose quickly in tandem with rapid economic growth but then dropped to a level not seen for at least four decades. Despite this favorable mitigation outcome, Xu details how this stemmed from a litany of policy stumbles within the Chinese context of no democracy and a lack of sound rule of law. Throughout this book, the author examines China's environmental governance and strategy and how they shape environmental policy. The chapters weave together a goal-centered governance model that China has adopted of centralized goal setting, decentralized goal attainment, decentralized policy making and implementation. Xu concludes that this model provides compelling evidence that China's worst environmental years reside in the past. This book will be of great interest to students and scholars of Chinese environmental policy and governance, air pollution, climate change and sustainable development, as well as practitioners and policy makers working in these fields.

This book systematically analyzes how and why China has expectedly lost and then surprisingly gained ground in the quest to solve the complicated environmental problem of air pollution over the past two decades. Yuan Xu shines a light on how China's sulfur dioxide emissions rose quickly in tandem with rapid economic growth but then dropped to a level not seen for at least four decades. Despite this favorable mitigation outcome, Xu details how this stemmed from a litany of policy stumbles within the Chinese context of no democracy and a lack of sound rule of law. Throughout this book, the author examines China's environmental governance and strategy and how they shape environmental policy. The chapters weave together a goal-centered governance model that China has adopted of centralized goal setting, decentralized goal attainment, decentralized policy making and implementation. Xu concludes that this model provides compelling evidence that China's worst environmental years reside in the past.This book will be of great interest to students and scholars of Chinese environmental policy and governance, air pollution, climate change and sustainable development, as well as practitioners and policy makers working in these fields.

This book systematically analyzes how and why China has expectedly lost and then surprisingly gained ground in the quest to solve the complicated environmental problem of air pollution over the past two decades. Yuan Xu shines a light on how China's sulfur dioxide emissions rose quickly in tandem with rapid economic growth but then dropped to a level not seen for at least four decades. Despite this favorable mitigation outcome, Xu details how this stemmed from a litany of policy stumbles within the Chinese context of no democracy and a lack of sound rule of law. Throughout this book, the author examines China's environmental governance and strategy and how they shape environmental policy. The chapters weave together a goal-centered governance model that China has adopted of centralized goal setting, decentralized goal attainment, decentralized policy making and implementation. Xu concludes that this model provides compelling evidence that China's worst environmental years reside in the past.This book will be of great interest to students and scholars of Chinese environmental policy and governance, air pollution, climate change and sustainable development, as well as practitioners and policy makers working in these fields.

"There is growing concern about China's industrial development being unsustainable and the irreversible depletion of natural resources and deterioration of the ecological environment. The relationship between industrial development, pollution, and the environmental quality is an important issue that deserves careful study. Environmental considerations play a crucial role in shaping China's development strategies. Green development of China creates strong pressures for continuous transforming, upgrading and restructuring of the Chinese economy. This book explores how China's industrial development relates to pollution and the environmental quality, and how considerations about such issues associated with the eco-environmental system affect China's development strategies"--

This paper applies two dimensions, inter-governmental and trans-societal, to discuss US-China environmental relations. It argues that, while official bilateral environmental relations between the two over the past 15 years have not yet achieved substantial outcomes, trans-societal linkages between American and Chinese NGOs and activists have grown steadily. The scope and volume of their work may not be as visible as that of ODA projects or official initiatives, but their impact may be more sustainable and not easily interrupted by administrative or regime shifts in either country. On the other hand, this paper highlights that US-China relations in regard to climate change will explain the main trends that will dominate the overall environmental cooperation in the coming years. Whether or not the governments can build up mutual trust and effective mechanisms in security, trade and other policy fields will affect the possibility of a conducive atmosphere for cooperation in environmental protection. (ISS-Stud/GIGA)

A quality teacher–student relationship facilitates students' psychological wellbeing, but the mechanism underlying this relationship remains unclear. To address this issue, we investigated the role of a supportive school climate in the link between teacher–student relationships
and college students' psychological well-being. We used a paper-based questionnaire to collect data from 318 students enrolled in three universities in west China, and used Amos 22.0 software to establish a structural equation model. The results indicated there was a significant positive link
between teacher–student relationships and students' psychological well-being, and that supportive school climate partially mediated this link. This study extends the conclusions of prior research and provides new insights into how teacher–student relationships affect the psychological
well-being of college students.

IntroductionRecurrence free survival is frequently investigated in cancer outcome studies, however is not explicitly documented in cancer registry data that is widely used for research. Patterns of events after initial treatment such as oncology visits, re-operation, chemotherapy or radiation may herald recurrence.
Objectives and ApproachThis study aimed to develop and validate algorithms for identifying breast cancer recurrence using large administrative data.Two cohorts with high recurrence rates were used: 1) all young (≤ 40 years) breast cancer patients (2007-2010), and 2) all neoadjuvant chemotherapy patients (2012-2014) in Alberta, Canada. Health events after primary treatment were obtained from the Alberta cancer registry, physician billing claims, and vital statistics databases. Positive recurrence status (defined as either locoregional, distant or both) was ascertained by primary chart review. The cohort was divided into a developing (60%) and validating (40%) set. Development of algorithms geared towards high sensitivity, PPV and accuracy respectively were performed using classification and regression tree (CART) models. Key variables in the models included: a new round of chemotherapy, a second mastectomy, and a new cluster of radiologist, oncologist or general surgeon visits occurring after the primary treatment. Compared with chart review data, the sensitivity, specificity, PPV, NPV and accuracy of the algorithms were calculated.
ResultsOf 606 patients, 121 (20%) had recurrence after a median follow-up 4 years. The high sensitivity algorithm had 94.2% (95% CI: 90.1-98.4%) sensitivity, 92.8% (90.5-95.1%) specificity, 76.5% (70.0-88.3%) PPV, 98.5% (97.3-99.6%) NPV and 93.1% (91.0-95.1%) accuracy. The high PPV algorithm had 74.4% (66.6-82.2%) sensitivity, 97.8% (96.5-99.2%) specificity, 90.0% (84.1-95.9%) PPV, 93.6% (91.4-95.7%) NPV and 92.9% (90.9-95.0%) accuracy. The high accuracy algorithm had 88.4% (82.7-94.1%) sensitivity, 97.1% (95.6-98.6%) specificity, 88.4% (82.7-94.1%) PPV, 97.1% (95.6-98.6%) NPV and 95.4% (93.7-97.1%) accuracy.
Conclusion/ImplicationsThe proposed algorithms achieved favourably high validity for identifying recurrence using widely available administrative data. Further study may be needed for improving sensitivity and PPV, and validating the algorithms in larger data for widespread use.