Research on the sustainable development process of low-carbon pilot cities: the case study of Guiyang, a low-carbon pilot city in south-west China

2020 ◽  
Author(s):  
Tao Peng ◽  
Hongwei Deng
Keyword(s):  
Sustainable Development ◽  
Development Process ◽  
Low Carbon ◽  
West China ◽  
The Sustainable Development ◽  
South West

scholarly journals IMPLICATION OF DEMOGRAPHIC DIMENSION IN SUSTAINABLE RURAL DEVELOPMENT. CASE STUDY: RÂŞCA VALLEY BASIN

2016 ◽  
Author(s):  
Florin Constantin MIHAI
Keyword(s):  
Sustainable Development ◽  
Rural Development ◽  
Development Process ◽  
Development Stage ◽  
Historical Events ◽  
Sustainable Rural Development ◽  
The Sustainable Development ◽  
Rural Space ◽  
Demographic Indicators

This paper aims to capture the importance of demographic dimension in thesustainable development process of the rural space. From a series ofstatistics data we realized an analysis of demographic indicators, which ithelped us to trace the development trends characteristic for our area ofstudy. To understand the evolution in time and the implications of humanresource in the process of development it was necessary referencing themwith national or local historical events. Demographic dimension analysishighlights the development stage of rural space and help the formulation ofthe future local policies that regard the sustainable development.

scholarly journals Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis

2020 ◽  
Vol 12 (6) ◽  
pp. 2427 ◽  
Author(s):  
Behrouz Pirouz ◽  
Sina Shaffiee Haghshenas ◽  
Sami Shaffiee Haghshenas ◽  
Patrizia Piro
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Relative Humidity ◽  
Development Process ◽  
Binary Classification ◽  
Daily Temperature ◽  
Maximum Daily Temperature ◽  
The Sustainable Development ◽  
Epidemic Diseases

Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed cases of COVID-19 (new version of Coronavirus) as one of the epidemic diseases. Hence, binary classification modeling was used by the group method of data handling (GMDH) type of neural network as one of the artificial intelligence methods. For this purpose, the Hubei province in China was selected as a case study to construct the proposed model, and some important factors, namely maximum, minimum, and average daily temperature, the density of a city, relative humidity, and wind speed, were considered as the input dataset, and the number of confirmed cases was selected as the output dataset for 30 days. The proposed binary classification model provides higher performance capacity in predicting the confirmed cases. In addition, regression analysis has been done and the trend of confirmed cases compared with the fluctuations of daily weather parameters (wind, humidity, and average temperature). The results demonstrated that the relative humidity and maximum daily temperature had the highest impact on the confirmed cases. The relative humidity in the main case study, with an average of 77.9%, affected positively, and maximum daily temperature, with an average of 15.4 °C, affected negatively, the confirmed cases.

Functions of Public Service in the Sustainable Development of Regional Economy: A Case Study of Tianjin

2014 ◽  
Vol 472 ◽  
pp. 1105-1111 ◽  
Author(s):  
Xue Ping Liang
Keyword(s):  
Sustainable Development ◽  
Endogenous Growth ◽  
Public Service ◽  
Development Process ◽  
Public Services ◽  
Regional Economy ◽  
Public Affairs ◽  
The Sustainable Development ◽  
Good Environment

In the development process of regional economy, the adequate supply of public services can create a good environment, promote endogenous growth and improve the government's governance ability in public affairs. This paper mainly analyzes the function of public services in regional economy by taking Tianjin as an example.

Energy Saving from Traditional Settlement – A Case Study on Environmental Ideology of Traditional Settlement in Fujian, China

2013 ◽  
Vol 779-780 ◽  
pp. 1468-1471
Author(s):  
Yuan Miao
Keyword(s):  
Sustainable Development ◽  
Natural Resources ◽  
Energy Saving ◽  
Emission Reduction ◽  
Building Materials ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Narrow Side ◽  
Settlement Distribution

In the contemporary era of low-carbon and emission reduction, the energy-saving researches on the single architecture have become more and more attentive, including several new building materials, equipment and techniques, etc. However, this strategy in the wholly macro level has been neglected, such as the harmony between the settlement and its natural environment, the space site-positioning program and the reasonable distribution of architectural groups, which should be offered a priority before the sole establishment design. 400 years ago in the south Fujian, China, the ancestors had been trying to explore natural resources and dedicated to the sustainable development, from the angle of environmental plan and design. For instance, comb-style settlement distribution with wide front and narrow side, ventilation design in buildings and locally selected materials are qualified to be the representativeness and afford us lessons.

Study on Ecological Footprint of Campus Paper Consumption

2014 ◽  
Vol 556-562 ◽  
pp. 6587-6590 ◽  
Author(s):  
Dong Sun ◽  
Guo Bao Song ◽  
Shu Shen Zhang
Keyword(s):  
Sustainable Development ◽  
Ecological Footprint ◽  
Low Carbon ◽  
Forest Land ◽  
The Sustainable Development ◽  
Footprint Model ◽  
University Of Technology ◽  
The University ◽  
Academic Year

With the recognition of sustainable development improving gradually, low carbon campus construction has become a trend in international society. The ecological footprint model is a kind of effective method to measure the sustainable development and have some reference for low carbon campus study. Our case study is the ecological footprint of paper consumption in Dalian University of Technology, China. The results show that nearly 481.60 hm2 of ecologically productive lands were needed to support paper consumption and this means that the land consumed by the university is 2.28 times larger than its physical or built-up land. Within 2011 academic year, the reused paper flow was added up to 237.69 tons, of which library contributed the most with 164.98 tons and the remaining 72.71 tons came from secondhand books obtained from last academic year 2010, finally saved nearly 578.33 hm2 of forest land.

National Far East Development Program and Sustainable Development Prospects

2019 ◽  
Vol 40 (3) ◽  
pp. 33-40 ◽  
Author(s):  
M. Yu. Dyakov ◽  
E. G. Mikhaylova
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Development Process ◽  
Far East ◽  
Development Program ◽  
The Sustainable Development ◽  
Development Goals ◽  
Economic Balance ◽  
Formal Requirements ◽  
Development Prospects

The article contains some comments on the project of the National Program for the Development of the Far East until 2025 and for the future till 2035. It is noted that the project does not meet the formal requirements of the program document, has a number of unreasonable proposals and measures, the implementation of which may threaten the sustainable development of the region. The authors believe that in the development process it is necessary to take into account the principles of environmental and economic balance. The conclusion is made about the feasibility of developing a methodological framework for evaluating such documents as a tool for achieving sustainable development goals.

Assessment of wood industrial pollutants based on emission coefficients in China

Holzforschung ◽  
2020 ◽  
Vol 74 (11) ◽  
pp. 1071-1078
Author(s):  
Jie Chu ◽  
Anuj Kumar
Keyword(s):  
Sustainable Development ◽  
Circular Economy ◽  
Industrial Waste ◽  
Water Discharge ◽  
Medium Density Fiberboard ◽  
Oxygen Demand ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Waste Gas ◽  
Industrial Gases

AbstractThe implementation of circular economy in wood industries is an effective way for future sustainable development. The wood industries in China are not in the direction of circular economy approach due to less availability of assessment/calculation data of pollutants as per life cycle assessment (LCA) criteria. The present study focuses on the calculation of emission and pollutants from wood industries as per LCA; the emission and pollution data were collected from fiberboard Medium-density fiberboard (MDF), plywood and particleboard (PB) production. The comparative analysis of dust emissions, industrial waste gases and chemical oxygen demand (COD) were performed among three wood industries. The results revealed that the fiberboard industry was the highest emitter of dust, industrial waste gas and COD; and particleboard industry was the least emitter. Further, results indicated that pollutant index of wood industries were significantly changed between 2015 and 2017; the industrial waste water discharge increased five folds and the COD, dust and industrial gases increased two times. This study provides with the emission and pollutants data of wood industries as per LCA to promote the sustainable development for circular and low carbon economics.

scholarly journals A Framework for Assessing Commitment Indicators in Sustainable Development Decisions

2021 ◽  
Vol 13 (9) ◽  
pp. 5234
Author(s):  
Mustafa S. Al-Tekreeti ◽  
Salwa M. Beheiry ◽  
Vian Ahmed
Keyword(s):  
Sustainable Development ◽  
Performance Indicators ◽  
Energy Use ◽  
Capital Projects ◽  
The Sustainable Development ◽  
Corporate Leaders ◽  
Corporate Decisions ◽  
Waste Energy ◽  
Infrastructure Project

Numerous decision support systems have been developed to address the decision-making process in organizations. However, there are no developed mechanisms to track commitment down the line to the decisions made by corporate leaders. This paper is a portion of a study that establishes a framework for a comprehensive metric system to assess commitment to Sustainable Development (SD) decisions down the line in capital projects, and sets the groundwork for further development of performance indicators for SD outcomes. This ultimately leads to investigating the relationship between commitment to corporate decisions and better project performance in SD parameters. Hence, this study explores the literature to extract relevant parameters that reflect the degree of the project participants’ commitment to SD decisions and to develop commitment indicators. The study created then validated an index to track this commitment along the project stages: the Sustainable Development Commitment Tracking Tool (SDCTT). The SDCTT was tested on an infrastructure project case study. In this paper, techniques relevant to the first stage of projects (planning and definition) are presented. The SDCTT is the groundwork for the future development of performance indicators for SD outcomes, and within the postulated model should ultimately contribute towards reducing project waste, energy use, and carbon emissions.

scholarly journals Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis

2021 ◽  
Author(s):  
Laura Ballerini ◽  
Sylvia I. Bergh
Keyword(s):  
Sustainable Development ◽  
Citizen Science ◽  
Sustainable Development Goals ◽  
Comparative Case Study ◽  
Science Data ◽  
The Sustainable Development ◽  
Case Study Analysis ◽  
Wide Range ◽  
Development Goals

AbstractOfficial data are not sufficient for monitoring the United Nations Sustainable Development Goals (SDGs): they do not reach remote locations or marginalized populations and can be manipulated by governments. Citizen science data (CSD), defined as data that citizens voluntarily gather by employing a wide range of technologies and methodologies, could help to tackle these problems and ultimately improve SDG monitoring. However, the link between CSD and the SDGs is still understudied. This article aims to develop an empirical understanding of the CSD-SDG link by focusing on the perspective of projects which employ CSD. Specifically, the article presents primary and secondary qualitative data collected on 30 of these projects and an explorative comparative case study analysis. It finds that projects which use CSD recognize that the SDGs can provide a valuable framework and legitimacy, as well as attract funding, visibility, and partnerships. But, at the same time, the article reveals that these projects also encounter several barriers with respect to the SDGs: a widespread lack of knowledge of the goals, combined with frustration and political resistance towards the UN, may deter these projects from contributing their data to the SDG monitoring apparatus.

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