scholarly journals Network Analysis of Actors and Policy Keywords for Sustainable Environmental Governance: Focusing on Chinese Environmental Policy

2019 ◽  
Vol 11 (15) ◽  
pp. 4068
Author(s):  
Dan Zhang ◽  
Fan Fan ◽  
Sang Do Park
Keyword(s):  
Environmental Policy ◽  
Network Analysis ◽  
Local Governments ◽  
Environmental Governance ◽  
Early Stage ◽  
Environmental Issues ◽  
Public Enterprise ◽  
Data Set ◽  
The Sustainable Development ◽  
Policy Promotion

Environmental issues are viewed as a serious problem with a complex network structure involving various stakeholders. Environmental governance is considered the most reasonable way to promote environmental policy, and it is an important mechanism contributing to the sustainable development of society. Through the network analysis of actor and policy keywords, this study demonstrated whether environmental governance policies are being pursued through the cooperation of various participants in China, the epicenter of global environmental issues. We collected text big data from 2001 to 2018 under the theme of “environmental policy” on the main online portal web in China. Through text mining, key actors and policy keywords were selected according to the timing of environmental policy promotion, and network analysis and core-periphery analysis were conducted based on this actor/keywords data set. The results of this study are as follows. First, China’s environmental policy is a rudimentary governance cooperation structure, and the central and local governments are still the main policy-promoting actors. Second, the fundamental solution of the environmental problem through readjustment of the environment-related system and industrial restructuring has become the keyword for China’s implementation of environmental policy at present. Third, there were certain words, such as social, public, enterprise, and institution, in the aspects of environmental governance, while these words failed to be at the center of multi-dimensional scaling (MDS) analysis for the actors. This result shows that environmental governance and network are still at an early stage and that the Chinese government’s strong power lies in its environmental policy. Based on these results, policy recommendations are presented.

scholarly journals Academic Collaboration in Entrepreneurship Research from 2009 to 2018: A Multilevel Collaboration Network Analysis

2019 ◽  
Vol 11 (19) ◽  
pp. 5172 ◽  
Author(s):  
Song ◽  
Xu ◽  
Cai
Keyword(s):  
Sustainable Development ◽  
Network Analysis ◽  
International Cooperation ◽  
Local Governments ◽  
The United States ◽  
Business Environment ◽  
Cooperative Networks ◽  
Collaboration Network ◽  
The Sustainable Development ◽  
Entrepreneurship Research

Entrepreneurship research is widely regarded as an important basis for competitive advantage in a rapidly changing international business environment, enhancing capacities for sustainable business growth, economic activity, and the wealth of nations. In recent years, international cooperation has been considered to be one of the key factors promoting the sustainable development of entrepreneurial research. However, the evolution of the cooperative network of entrepreneurial research and the relationship between international cooperation and entrepreneurial research performance has not received the attention of most researchers. Therefore, we used a multilevel collaborative analysis method, i.e., country, city, institution and scholar, analyzing 2037 studies in this area from 2009 to 2018 from the Business Source Complete database by collaboration network analysis and bibliometric analysis. Our study tracked the evolution and cooperation trends in entrepreneurship research and detailed characteristics of international academic cooperation over the past decade, and we found the following: (1) The four types of cooperative networks have evolved over time, and generally conform to the distribution characteristics of the core periphery; cities, institutions, and researchers from central countries such as the United States, the United Kingdom, Canada, France and Germany occupy central positions in cooperation; they are scale-free networks and subject to the principle of priority connection. (2) The evolution of cooperative networks at different levels are non-conformal, there is a subtle relationship between micro-networks that can explain the distribution and changes in macro-networks. (3) International academic cooperation can promote the performance of entrepreneurial research, and cooperation has become the main theme of entrepreneurial research. These findings can help researchers to better study cooperative relationships in entrepreneurship research. Moreover, they can provide entrepreneurial decision support for national and local governments and contribute to the sustainable development of entrepreneurial research.

Conceptual Innovation in Environmental Policy

2017 ◽  
Keyword(s):  
Environmental Policy ◽  
Environmental Governance ◽  
Sustainable Consumption ◽  
Environmental Issues ◽  
Building Blocks ◽  
Green Economy ◽  
Policy Makers ◽  
Conceptual Innovation ◽  
Environmental Concepts ◽  
Conceptual Evolution

Concepts are thought categories through which we apprehend the world; they enable, but also constrain, reasoning and debate and serve as building blocks for more elaborate arguments. This book traces the links between conceptual innovation in the environmental sphere and the evolution of environmental policy and discourse. It offers both a broad framework for examining the emergence, evolution, and effects of policy concepts and a detailed analysis of eleven influential environmental concepts. In recent decades, conceptual evolution has been particularly notable in environmental governance, as new problems have emerged and as environmental issues have increasingly intersected with other areas. “Biodiversity,” for example, was unheard of until the late 1980s; “negative carbon emissions” only came into being over the last few years. After a review of concepts and their use in environmental argument, chapters chart the trajectories of a range of environmental concepts: environment, sustainable development, biodiversity, environmental assessment, critical loads, adaptive management, green economy, environmental risk, environmental security, environmental justice, and sustainable consumption. The book provides a valuable resource for scholars and policy makers and also offers a novel introduction to the environmental policy field through the evolution of its conceptual categories. Contributors Richard N. L. Andrews, Karin Bäckstrand, Karen Baehler, Daniel J. Fiorino, Yrjö Haila, Michael E. Kraft, Oluf Langhelle, Judith A. Layzer, James Meadowcroft, Alexis Schulman, Johannes Stripple, Philip J. Vergragt

scholarly journals THE FIRST ANTROPOCENE UTOPIA

2017 ◽  
Vol 20 (2) ◽  
pp. 227-246 ◽  
Author(s):  
JOSÉ ELI DA VEIGA
Keyword(s):  
Sustainable Development ◽  
International Relations ◽  
United Nations ◽  
Global Governance ◽  
Environmental Governance ◽  
Environmental Issues ◽  
Decision Criteria ◽  
The Sustainable Development ◽  
Agenda 2030 ◽  
Governance Institutions

Abstract This article proposes an aggiornamento of the “sustainable development” ideal. It addresses four controversial terms, which enable us to foresee that “sustainable development” will very likely become the first utopia of the Anthropocene epoch. Taking into account the Agenda 2030, if the decision criteria are based on the rhetoric of international relations, particularly as used within the framework of the United Nations, it can certainly be concluded that sustainable development has already become the great contemporary utopia. However, if global governance is used as the criterion, this may not be the case, since environmental governance institutions are not yet comparable to development governance institutions. Strictly speaking, there is no global governance of sustainability, unless this notion is restricted to environmental issues.

scholarly journals INSTITUTIONS AND ENVIRONMENTAL GOVERNANCE IN BRAZIL: THE LOCAL GOVERNMENTS' PERSPECTIVE

2016 ◽  
Vol 20 (3) ◽  
pp. 492-516 ◽  
Author(s):  
Estela Maria Souza Costa Neves
Keyword(s):  
Environmental Policy ◽  
Environmental Protection ◽  
Local Governments ◽  
Environmental Governance ◽  
Driving Forces ◽  
Institutional Factors ◽  
Discretionary Power ◽  
Brazilian State ◽  
Federal Constitution ◽  
Federal Organization

ABSTRACT This paper explores some of the institutional factors that guide the environmental action of municipalities in Brazil. The starting premise is that there are particular institutional factors that empower the Brazilian state and society, guide processes and provide a unique profile to local environmental policy. Regulations for environmental protection are analysed from a historical perspective, taking into account the federal organization of the Brazilian state and its particular distribution of powers. Five factors emerge as the driving forces behind the actions taken by municipalities in relation to the environment: the federal status of municipalities, the inclusion of the environmental protection provision in the Federal Constitution, the lack of consistent funding for environmental policy, the coexistence of several regimes within environmental rules, and the discretionary power, held by environmental bureaucracy, related to the indeterminacy of environmental regulation.

Identification of Coronary Artery Disease using Artificial Neural Network and Case Based Reasoning

2020 ◽  
Vol 13 ◽  
Author(s):  
Varun Sapra ◽  
M.L Saini ◽  
Luxmi Verma
Keyword(s):  
Neural Network ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Early Stage ◽  
Second Phase ◽  
Case Based Reasoning ◽  
Data Set ◽  
Artery Disease ◽  
Severity Of The Disease ◽  
Case Based

Background: Cardiovascular diseases are increasing at an alarming rate with very high rate of mortality. Coronary artery disease is one of the type of cardiovascular disease, which is not easily diagnosed in its early stage. Prevention of Coronary Artery Disease is possible only if it is diagnosed, at early stage and proper medication is done. Objective: An effective diagnosis model is important not only for the early diagnosis but also to check the severity of the disease. Method: In this paper, a hybrid approach is followed, with the integration of deep learning (multi-layer perceptron) with Case based reasoning to design analytical framework. This paper suggests two phases of the study, one in which the patient is diagnosed for Coronary artery disease and in second phase, if the patient is suffering from the disease then employing Case based reasoning to diagnose the severity of the disease. In the first phase, multilayer perceptron is implemented on reduced dataset and with time-based learning for stochastic gradient descent respectively. Results: The classification accuracy is increase by 4.18 % with reduced data set using deep neural network with time based learning. In second phase, if the patient is diagnosed as positive for Coronary artery disease, then it triggers the Case based reasoning system to retrieve from the case base, the most similar case to predict the severity for that patient. The CBR model achieved 97.3% accuracy. Conclusion: The model can be very useful for medical practitioners as a supporting decision system and thus can save the patients from unnecessary medical expenses on costly tests and can improve the quality and effectiveness of medical treatment.

scholarly journals Sustained sustainable development actions of China from 1986 to 2020

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bingsheng Liu ◽  
Tao Wang ◽  
Jiaming Zhang ◽  
Xiaoming Wang ◽  
Yuan Chang ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Local Governments ◽  
Local Development ◽  
Well Being ◽  
The Sustainable Development ◽  
Positive Effects ◽  
Development Goals ◽  
Development Levels ◽  
The Right ◽  
Resource Conditions

AbstractAchieving the Sustainable Development Goals (SDGs) is a long-term task, which puts forward high requirements on the sustainability of related policies and actions. Using the text analysis method, we analyze the China National Sustainable Communities (CNSCs) policy implemented over 30 years and its effects on achieving SDGs. We find that the national government needs to understand the scope of sustainable development more comprehensively, the sustained actions can produce positive effects under the right goals. The SDGs selection of local governments is affected by local development levels and resource conditions, regions with better economic foundations tend to focus on SDGs on human well-being, regions with weaker foundations show priority to basic SDGs on the economic development, infrastructures and industrialization.

Exploring fake news identification using word and sentence embeddings

2021 ◽  
pp. 1-8
Author(s):  
V.T Priyanga ◽  
J.P Sanjanasri ◽  
Vijay Krishna Menon ◽  
E.A Gopalakrishnan ◽  
K.P Soman
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Network Analysis ◽  
Supervised Machine Learning ◽  
Breeding Ground ◽  
Fake News ◽  
Data Set ◽  
Highly Correlated ◽  
Use Of Social Media ◽  
The Liar

The widespread use of social media like Facebook, Twitter, Whatsapp, etc. has changed the way News is created and published; accessing news has become easy and inexpensive. However, the scale of usage and inability to moderate the content has made social media, a breeding ground for the circulation of fake news. Fake news is deliberately created either to increase the readership or disrupt the order in the society for political and commercial benefits. It is of paramount importance to identify and filter out fake news especially in democratic societies. Most existing methods for detecting fake news involve traditional supervised machine learning which has been quite ineffective. In this paper, we are analyzing word embedding features that can tell apart fake news from true news. We use the LIAR and ISOT data set. We churn out highly correlated news data from the entire data set by using cosine similarity and other such metrices, in order to distinguish their domains based on central topics. We then employ auto-encoders to detect and differentiate between true and fake news while also exploring their separability through network analysis.

scholarly journals Zero Carbon Building Practices in Aotearoa New Zealand

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4455
Author(s):  
Thao Thi Phuong Bui ◽  
Suzanne Wilkinson ◽  
Niluka Domingo ◽  
Casimir MacGregor
Keyword(s):  
Climate Change ◽  
New Zealand ◽  
Construction Industry ◽  
Local Governments ◽  
Early Stage ◽  
Policy Implications ◽  
Structured Interviews ◽  
Building Projects ◽  
Aotearoa New Zealand ◽  
Zero Carbon

In the light of climate change, the drive for zero carbon buildings is known as one response to reduce greenhouse gas emissions. Within New Zealand, research on climate change mitigation and environmental impacts of buildings has received renewed attention. However, there has been no detailed investigation of zero carbon building practices. This paper undertakes an exploratory study through the use of semi-structured interviews with government representatives and construction industry experts to examine how the New Zealand construction industry plans and implements zero carbon buildings. The results show that New Zealand’s construction industry is in the early stage of transiting to a net-zero carbon built environment. Key actions to date are focused on devising a way for the industry to develop and deliver zero carbon building projects. Central and local governments play a leading role in driving zero carbon initiatives. Leading construction firms intend to maximise the carbon reduction in building projects by developing a roadmap to achieve the carbon target by 2050 and rethinking the way of designing and constructing buildings. The research results provide an insight into the initial practices and policy implications for the uptake of zero carbon buildings in Aotearoa New Zealand.

scholarly journals Transcriptome Analysis Reveals the Genes Involved in Bifidobacterium Longum FGSZY16M3 Biofilm Formation

2021 ◽  
Vol 9 (2) ◽  
pp. 385 ◽  
Author(s):  
Zongmin Liu ◽  
Lingzhi Li ◽  
Qianwen Wang ◽  
Faizan Ahmed Sadiq ◽  
Yuankun Lee ◽  
...  
Keyword(s):  
Network Analysis ◽  
Biofilm Formation ◽  
Extracellular Polymeric Substances ◽  
Molecular Mechanisms ◽  
Early Stage ◽  
Bifidobacterium Longum ◽  
Regulation Of Gene Expression ◽  
Interaction Network ◽  
Structural Development ◽  
Sequencing Analysis

Biofilm formation has evolved as an adaptive strategy for bacteria to cope with harsh environmental conditions. Currently, little is known about the molecular mechanisms of biofilm formation in bifidobacteria. A time series transcriptome sequencing analysis of both biofilm and planktonic cells of Bifidobacterium longum FGSZY16M3 was performed to identify candidate genes involved in biofilm formation. Protein–protein interaction network analysis of 1296 differentially expressed genes during biofilm formation yielded 15 clusters of highly interconnected nodes, indicating that genes related to the SOS response (dnaK, groS, guaB, ruvA, recA, radA, recN, recF, pstA, and sufD) associated with the early stage of biofilm formation. Genes involved in extracellular polymeric substances were upregulated (epsH, epsK, efp, frr, pheT, rfbA, rfbJ, rfbP, rpmF, secY and yidC) in the stage of biofilm maturation. To further investigate the genes related to biofilm formation, weighted gene co-expression network analysis (WGCNA) was performed with 2032 transcript genes, leading to the identification of nine WGCNA modules and 133 genes associated with response to stress, regulation of gene expression, quorum sensing, and two-component system. These results indicate that biofilm formation in B. longum is a multifactorial process, involving stress response, structural development, and regulatory processes.

scholarly journals Bayesian Network Structure and Predictability of Autistic Traits

2020 ◽  
pp. 003329412097815
Author(s):  
Giovanni Briganti ◽  
Donald R. Williams ◽  
Joris Mulder ◽  
Paul Linkowski
Keyword(s):  
Sex Differences ◽  
Network Analysis ◽  
Bayesian Network ◽  
Network Structure ◽  
Network Connectivity ◽  
Autistic Traits ◽  
Data Set ◽  
Conditional Dependence ◽  
Bayesian Network Structure ◽  
Male Subjects

The aim of this work is to explore the construct of autistic traits through the lens of network analysis with recently introduced Bayesian methods. A conditional dependence network structure was estimated from a data set composed of 649 university students that completed an autistic traits questionnaire. The connectedness of the network is also explored, as well as sex differences among female and male subjects in regard to network connectivity. The strongest connections in the network are found between items that measure similar autistic traits. Traits related to social skills are the most interconnected items in the network. Sex differences are found between female and male subjects. The Bayesian network analysis offers new insight on the connectivity of autistic traits as well as confirms several findings in the autism literature.

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