Partnership Through Sustainable Development Indicator

2020 ◽  
pp. 1-10
Author(s):  
Marlinah Muslim ◽  
Siti Fairuz Mohd Radzi ◽  
Mohd Sayuti Hassan
Keyword(s):  
Sustainable Development ◽  
Development Indicator

Financing Sustainable Development in Africa

2021 ◽  
pp. 140-152
Author(s):  
Oluwabunmi Opeyemi Adejumo ◽  
Uchenna R. Efobi ◽  
Simplice A. Asongu
Keyword(s):  
Sustainable Development ◽  
Human Development ◽  
Foreign Investment ◽  
Economic Resources ◽  
African Region ◽  
What Works ◽  
Development Indicator ◽  
Head Count ◽  
Development Outcomes ◽  
Societal Problems

Actualizing sustainable development in Africa will require enormous economic resources. This implies that there must be a clear balance of prioritization of financing options on what works best for development in this region without further escalating other societal problems. The authors argue in the chapter that though there has been some benefit from the traditional means of financing development in Africa, some drawbacks still exist considering the rising rate of inequality and poverty head-count in the region. On this note, this present study examines financing options that have previously been advocated for in financing development in the African region (i.e., taking stock), such as development assistance and foreign investment, by considering its implication on development outcomes like poverty, inequality, and aggregate human development indicator in the region.

Evaluation of Sustainable Development of Typical Small Watershed in Mountain Area - A Case Study of Puwa Small Watershed

2011 ◽  
Vol 183-185 ◽  
pp. 729-733
Author(s):  
Cui Mei Ren ◽  
Wen Biao Duan ◽  
Ze Yu Li ◽  
Lin Meng ◽  
Li Yang
Keyword(s):  
Sustainable Development ◽  
Comprehensive Evaluation ◽  
Indicator System ◽  
Development Theory ◽  
Basic Operation ◽  
Small Watershed ◽  
Mountain Area ◽  
The Sustainable Development ◽  
Development Indicator ◽  
Pca Method

With rapid sponsorship and widely spreading of sustainable development theory, the research on the sustainable development indicator systems and its evaluation became increasingly an important issue for small watershed. Small watershed was thought to be the most basic operation unit for watershed sustainable development realization, building its sustainable development indicator system was regarded as the basic approach of realizing its sustainable development. Taking Puwa small watershed as study object, this paper quantitative analysis that the status of small watershed sustainable development by using AHP-PCA method. In this paper, taking AHP-PCA method as a powerful tool, by calculating comprehensive evaluation values of sustainable development as well as objective analysis of the level of sustainable development in different years the sustainable development situation of Puwa small watershed was evaluated. Corresponding strategies were put forward to supply relational decision-making departments with reference.

scholarly journals SPATIAL PATTERN OF SUSTAINABLE URBAN DEVELOPMENT INDICATOR FOR THE MONTREAL URBAN COMMUNITY

2015 ◽  
Vol 39 (4) ◽  
pp. 220-231 ◽  
Author(s):  
Shohel Reza Amin ◽  
Umma Tamima
Keyword(s):  
Sustainable Development ◽  
Urban Development ◽  
Spatial Pattern ◽  
Spatial Data ◽  
Urban Community ◽  
Spatial Data Analysis ◽  
Sustainable Urban Development ◽  
Development Indicator ◽  
Development Plans ◽  
The City

The City of Montreal initiated a First Strategic Plan for Sustainable Development in 2005 followed by a Community and Corporate Sustainable Development Plan in 2010–2015. This study proposes a sustainable urban development indicator (SUDI) for each Montreal Urban Community (MUC) to evaluate the achievements of sustainable development plans. This study identifies thirty-two variables as the attributes of sustainable urban development. The multivariate technique and Exploratory Spatial Data Analysis are applied to determine the spatial pattern of SUDI for each MUC. The spatial pattern of SUDI identifies that Ville Marie, Verdun, Sud-Ouest, Mercier-Hochelaga-Maisonneuve and Plateau Mont-Royal have strong sustainable development. The findings of this study help the City of Montreal to understand the improvement of the sustainable development plans for Montreal city and to distribute the municipal budget for the community benefits accordingly.

scholarly journals The Sustainable Island Development Evaluation Model and Its Application Based on the Nonstructural Decision Fuzzy Set

2013 ◽  
Vol 2013 ◽  
pp. 1-10
Author(s):  
Quanming Wang ◽  
Peiying Li ◽  
Qinbang Sun
Keyword(s):  
Sustainable Development ◽  
Fuzzy Set ◽  
Evaluation System ◽  
Development Planning ◽  
Indicator System ◽  
Entropy Method ◽  
Development Theory ◽  
The Sustainable Development ◽  
Development Status ◽  
Development Indicator

Due to the complexity and diversity of the issue of sustainable island development, no widely accepted and applicable evaluation system model regarding the issue currently exists. In this paper, we discuss and establish the sustainable development indicator system and the model approach from the perspective of resources, the island environment, the island development status, the island social development, and the island intelligence development. We reference the sustainable development theory and the sustainable development indicator system method concerning land region, combine the character of the sustainable island development, analyze and evaluate the extent of the sustainable island development, orient development, and identify the key and limited factors of sustainable island development capability. This research adopts the entropy method and the nonstructural decision fuzzy set theory model to determine the weight of the evaluating indicators. Changhai County was selected as the subject of the research, which consisted of a quantitative study of its sustainable development status from 2001 to 2008 to identify the key factors influencing its sustainability development, existing problems, and limited factors and to provide basic technical support for ocean development planning and economic development planning.

scholarly journals Using total water footprint of national consumption as sustainable development indicator: A critical review

2018 ◽  
Vol 65 (4) ◽  
pp. 1427-1447 ◽  
Author(s):  
Vasile Jean ◽  
Aurelia Patrascu ◽  
Mihaela Drăgoi ◽  
Gogonea Rodica-Manuela ◽  
Serban Radu
Keyword(s):  
Sustainable Development ◽  
Critical Review ◽  
Water Footprint ◽  
Total Water ◽  
Development Indicator ◽  
National Consumption

Identifying priorities for action in corporate sustainable development indicator programs

2008 ◽  
Vol 17 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Cory Searcy ◽  
Daryl McCartney ◽  
Stanislav Karapetrovic
Keyword(s):  
Sustainable Development ◽  
Development Indicator

scholarly journals Spatial–temporal calculation simulation of ecological footprint of resource and environmental pollution in green communication

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Roulin Chen ◽  
Duanmin Zhang ◽  
Bo Li
Keyword(s):  
Sustainable Development ◽  
Ecological Footprint ◽  
Evaluation Method ◽  
Indicator System ◽  
Resource Consumption ◽  
Experimental Result ◽  
Ecological Environment ◽  
Green Communication ◽  
Development Indicator ◽  
Regional Sustainable Development

AbstractAs a quantitative evaluation method, the ecological footprint analysis (EFA) method is a frontier topic in the field of sustainable development. Human production activities will inevitably produce certain consumption, including the occupation of natural resources, resource consumption and waste production, which will have a certain impact on the ecological environment. This paper proposes to use the ecological footprint to inversely analyze the ecological environment and resource consumption, quantitatively convert the material consumption produced by human activities into the area of biological production land and compare it with the supply area of the study area. The EFA is used to reflect the changes in the indicators of regional sustainable development, and the regional sustainable development indicator system and analysis framework based on the ecosystem are constructed. The experimental result shows that the proposed model can effectively divide the resource space and at the same time can measure the degree of resource transfer, which has important guidance for revealing the internal relationship between regional ecological footprint characteristics and regional development and evolution significance.

scholarly journals Policy priority inference: A computational framework to analyze the allocation of resources for the sustainable development goals

Data & Policy ◽  
2020 ◽  
Vol 2 ◽  
Author(s):  
Omar A. Guerrero ◽  
Gonzalo Castañeda
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Policy Coherence ◽  
Computational Framework ◽  
The Sustainable Development ◽  
Development Indicators ◽  
Policy Interventions ◽  
Development Indicator ◽  
Development Goals ◽  
Policy Priority

Abstract We build a computational framework to support the planning of development and the evaluation of budgetary strategies toward the 2030 Agenda. The methodology takes into account some of the complexities of the political economy underpinning the policymaking process: the multidimensionality of development, the interlinkages between these dimensions, and the inefficiencies of policy interventions, as well as institutional factors that promote or discourage these inefficiencies. The framework is scalable and usable even with limited publicly available information: development-indicator data. However, it can be further refined as more data becomes available, for example, on public expenditure. We demonstrate its usage through an application for the Mexican federal government. For this, we infer historical policy priorities, that is, the non-observable allocations of transformative resources that generated past changes in development indicators. We also show how to use the tool to assess the feasibility of development goals, to measure policy coherence, and to identify accelerators. Overall, the framework and its computational tools allow policymakers and other stakeholders to embrace a complexity (and a quantitative) view to tackle the challenges of the Sustainable Development Goals.

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