2017
DOI: 10.3390/su9061078
|View full text |Cite
|
Sign up to set email alerts
|

Enhancing the Sustainability Narrative through a Deeper Understanding of Sustainable Development Indicators

Abstract: Different sustainability indicators tend to reflect different or even converse outcomes in terms of countries. A careful comparative study is needed to clarify whether these indicators are actually coherent with each other. We analyze and compare five sustainable development indicators. Pearson correlation was used to make a comparative study among them. Within the two groups, the indicators are positively correlated. The Sustainable Development Index (SDI) of the second group also shares a negative correlatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
26
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 37 publications
(27 citation statements)
references
References 72 publications
1
26
0
Order By: Relevance
“…At this juncture, instead of totally trusting the counterfactual results generated by the AI, it would be an example of an opportunity where AI-Thinking can be educed. As a suggestion, sustainability analysts might like to consider asking further questions by perusing the works of other sustainability researchers (e.g., see [59][60][61][62][63]). To simulate the worst-case scenario, hard evidence was applied to the node Sustainable Development Goals Index (SDGI), so that 100% of the countries is at the low level (defined as, e.g., 56.7) compared to the original 25.19%; 0% is at the mid-level (defined as, e.g., 71.2) compared to the original 48.31%; and 0% is at the high level (defined as >71.2) compared to the original 26.49%.…”
Section: Predictive Analytics: What If We Want To Achieve High-level mentioning
confidence: 99%
“…At this juncture, instead of totally trusting the counterfactual results generated by the AI, it would be an example of an opportunity where AI-Thinking can be educed. As a suggestion, sustainability analysts might like to consider asking further questions by perusing the works of other sustainability researchers (e.g., see [59][60][61][62][63]). To simulate the worst-case scenario, hard evidence was applied to the node Sustainable Development Goals Index (SDGI), so that 100% of the countries is at the low level (defined as, e.g., 56.7) compared to the original 25.19%; 0% is at the mid-level (defined as, e.g., 71.2) compared to the original 48.31%; and 0% is at the high level (defined as >71.2) compared to the original 26.49%.…”
Section: Predictive Analytics: What If We Want To Achieve High-level mentioning
confidence: 99%
“…While developing its economy, it should also protect the fragile ecological environment in the oasis. The ESI index has limitations, and different interpretations tend to reflect different or even converse outcomes [55,56]. Therefore, we used LMDI to analyze the driving forces of emergy utilization.…”
Section: Discussionmentioning
confidence: 99%
“…In research into sustainable development, researchers in different disciplines have different perspectives and emphases [21]. Ecologists and environmentalists study sustainable development from the aspects of ecological environment pollution, biodiversity, and ecosystem optimization, and they focus on the long-term and healthy survival of human beings as well as the sustainability of ecosystems and the regional environment (e.g., [10,11,[22][23][24][25]). Economists reveal the root causes of population, poverty, environment, energy, and growth problems, and use economic theories and methods to explore how to activate economic power to promote sustainable development-Ranis et al [26], Bilbao-Ubillos [27], Bolcárová and Kološta [14], Zhang et al [28] worked from this perspective.…”
Section: Sustainable Developmentmentioning
confidence: 99%