Indonesia is facing a number of independently managed challenges related to the collection, transportation, processing (composting, recycling), and landfill dependence on waste management. An ...intervention is needed to bring stakeholders together to solve these waste challenges. The objectives of this study are to investigate the fundamental issues and opportunities and to develop a sustainable and smart country-wide waste management system using industry 4.0 technologies. The system should provide a multi-dimensional approach, determine the maturity level of the waste management system in a technical method, and pursue the goal of designing a new strategy to minimise waste management problems. A comprehensive systematic literature review, intensive focus group discussions, and direct observation in Indonesian cities were approaches used to develop waste management business processes and their system design. Waste business processes consist of mixed-collecting, sorting, transporting, varied-treatment, and chained-disposal. The design of the proposed waste management system presents circular economy processes that can separate municipal waste, identify waste characteristics, and determine sustainable waste treatment technologies through the use of Internet of Thing (IoT) as the integrator. This study contributes to the sustainable development goals (SDG’s) such as Good health, and wellbeing (SDG 3); Clean water and sanitation (SDG 6); Decent Work and Economic Growth (SDG 8); Responsible Consumption and Production (SDG 12) and Climate Action (SDG 13). The study proposes a new design of smart and sustainable waste management which could achieve satisfactory economic, social, and environmental waste management performances.
The response to increasingly serious environmental issues is no longer limited to companies but is an important issue among supply chains. Green innovation is an essential segment of gaining a ...competitive advantage in the sustainable supply chain to achieve sustainable development goals. However, boosting sustainable supply chain development through green innovation is a complex network activity in which a large number of partners are embedded, and the need exists to transfer or share knowledge in an equal and reasonable exchange process. This study proposes a novel framework to explore perceptions of fairness that include procedural and distributive approaches as antecedents. We also examine embeddedness, knowledge sharing, and green innovation in the sustainable supply chain in terms of equity theory and a network scenario. This study contributes to the sustainable development goals (SDG’s) such as Decent Work and Economic Growth (SDG 8); Industry, Innovation and Infrastructure (SDG 9); Responsible Consumption and Production (SDG 12) and Climate Action (SDG 13). Useable sets of data were collected and used to test our theoretical hypotheses by surveying 225 firms in China’s manufacturing supply chain sectors. The research model is analysed by the partial least squares structural equation modelling (PLS-SEM) methodology. The empirical findings reveal that perceived fairness constructs that consist of procedural and distributive fairness have a highly positive linkage with embeddedness, while those that do not present significant effects on knowledge sharing directly. Moreover, both embeddedness and knowledge sharing demonstrate significant partial mediating impact on green innovation in the sustainable supply chain; knowledge sharing especially plays a key role in achieving green innovation. This study finds that firm size as a control variable presents a positive effect on green innovation. Finally, conclusions and practical implications are given.
In view of controversial environmental issues and increased public awareness, companies are increasingly under pressure from their beneficiaries and governments to become environmentally friendly. ...These environmentally competitive conditions have led companies to emphasize green practices in their daily operations, and a critical aspect of environmental operations involves the selection of circular suppliers for collaboration. In this paper, a novel approach is developed by integrating multi-criteria decision-making (MCDM) methods and fuzzy inference system (FIS) to evaluate and rank the suppliers towards the transition in the circular supply chain. In the proposed approach, the weights of sub-criteria are determined based on the fuzzy analytic hierarchy process (FAHP) method and, then, the score of each supplier in terms of each criterion is calculated by the fuzzy technique for order of preference by similarity to the ideal solution (FTOPSIS). At the end, the final score of the suppliers is calculated and the suppliers are ranked using a FIS. Since each method of the above-mentioned suffers some drawbacks in addition to its unique advantages, this study attempts to overcome these disadvantages through the integration of these methods for the first time. This study contributes to the sustainable development goals (SDG’s) such as Good Health, and Wellbeing (SDG 3); Clean Water and Sanitation (SDG 6); Decent Work and Economic Growth (SDG 8); Industry, Innovation and Infrastructure (SDG 9); Responsible Consumption and Production (SDG 12) and Climate Action (SDG 13). In this way, a practical approach will be proposed for ranking suppliers in the circular supply chain. This approach was applied to an Iranian petrochemical company with six suppliers involved. The performance of proposed approach is validated through comparing it with two other methods by using the Spearman rank correlation coefflcient. The results, obtained through comparisons and experts’ opinions, show that the proposed approach is efficient and applicable.
This research attempts to examine the relationship between renewable and non-renewable electricity consumption, carbon dioxide (CO2) emissions and economic policy uncertainty for the United States. ...For empirical analysis, the study employs monthly data for the period of 1985M1 to 2020M12 and used Bootstrap Rolling approach. The empirical findings revealed that, for full sample Granger causality test, there is a unidirectional causality running from electricity consumption to economic policy uncertainty and bidirectional causality between CO2 emissions and economic policy uncertainty. The estimated parameters are statistically unstable for three models. Overall, the conclusion of study supports the sustainable development goals (SDGs: 7, 10, 13) of the United States. The study argues that policymakers and political leadership of US should be aware of climate change consequences in order to fulfill carbon neutrality target and should develop economic policies accordingly in-line with energy security, clean and greener energy for all and sustainable cleaner production objectives. Further, the uncertainty issues should be considered while designing the environmental regulations.
Debating the effectiveness of marine protected areas Pendleton, Linwood H; Ahmadia, Gabby N; Browman, Howard I ...
ICES Journal of Marine Science,
05/2018, Letnik:
75, Številka:
3
Journal Article, Publication
Recenzirano
Odprti dostop
Abstract
Increasing the size and number of marine protected areas (MPAs) is widely seen as a way to meet ambitious biodiversity and sustainable development goals. Yet, debate still exists on the ...effectiveness of MPAs in achieving ecological and societal objectives. Although the literature provides significant evidence of the ecological effects of MPAs within their boundaries, much remains to be learned about the ecological and social effects of MPAs on regional and seascape scales. Key to improving the effectiveness of MPAs, and ensuring that they achieve desired outcomes, will be better monitoring that includes ecological and social data collected inside and outside of MPAs. This can lead to more conclusive evidence about what is working, what is not, and why. Eight authors were asked to write about their experiences with MPA effectiveness. The authors were instructed to clearly define “effectiveness” and discuss the degree to which they felt MPAs had achieved or failed to be effective. Essays were exchanged among authors and each was invited to write a shorter “counterpoint.” The exercise shows that, while experiences are diverse, many authors found common ground regarding the role of MPAs in achieving conservation targets. This exchange of perspectives is intended to promote reflection, analysis, and dialogue as a means for improving MPA design, assessment, and integration with other conservation tools.
In the context of socioeconomic initiatives to address world development sustainability such as the Sustainable Development Goals (SDGs), China's urbanization with increasing intensity and quickening ...pace has always been central to debates over the past few decades. Although the United Nations (UN) recommend to estimate and predict the local-scale urbanization sustainability by using the SDG indicator 11.3.1: “ratio of land consumption rate to population growth rate (LCRPGR)”, there remains a lack of reliable projections and applicable assessments at the city level, especially for the future urban expansion. Until now, limited knowledge of the urbanization sustainability dynamics in the next decade has been the primary challenge to inform the realization of urban sustainable development goal under the framework of SDGs. To evaluate the geographic region- and population size-specific urbanization sustainability at the city level in mainland China between 2020 and 2030, an integrated downscaling approach of trend extrapolation and regression analysis was developed based on historical statistics of urban built-up area and subnational scenarios of population and gross domestic product (GDP) under the Shared Socioeconomic Pathways (SSPs). The SSPs-consistent urban built-up area projections across different scales showed that the logistic regression had a better modeling performance than the panel data regression, while there was little difference between the linear and exponential extrapolation methods. Despite the geographical heterogeneity and size-related disparity, the scenario modeling results suggested that the average value of LCRPGR indicator in mainland China was expected to decline continuously, and would reach at the ideal state with a coordination between urban expansion and population growth through 2030. Specifically, the population growth stagnation of cities in Northeast China and the allometric urban expansion of cities in Western China should be the focus of strengthened regulations, and the urban growth of megacities would experience a steady and slower trend compared to their surrounding super-large cities and large cities. In summary, China's urbanization process might have headed toward a more sustainable and coordinated future under feasible SSPs scenarios. The local-scale forecasts will not only fill the data gap of SSPs-consistent urban land demand for all county- and prefecture-level cities in mainland China, but can also provide a reference for forecasting and assessment of urbanization sustainability to meet the SDGs in urban areas such as indicator 11.3.1.
•Higher-level projection of urban growth was downscaled for individual cities.•Two regressions exhibited distinct pathways whereas two extrapolations did not.•Urbanization sustainability through 2030 was assessed using a recognized indicator.•The ratio of land consumption rate to population growth rate is likely to decline.•China's urbanization can achieve a more sustainable future under feasible scenarios.
The blockchain has received significant attention from technology focussed researchers, highlighting its perceived impact and emerging disruption potential, but has been slow to engender any ...significant momentum within the Information Systems (IS) and Information Management (IM) literature. This study approaches the subject through an IS/IM lens developing the key themes from the blockchain based research via a comprehensive review. This analysis of the body of literature highlights that although few commercial grade blockchain applications currently exist, the technology demonstrates significant potential to benefit a number of industry wide use cases. This study expands on this point articulating through each of the key themes to develop a detailed narrative on the numerous potential blockchain applications and future direction of the technology, whilst discussing the many barriers to adoption. The study asserts that blockchain technology has the potential to contribute to a number of the UN Sustainability Development Goals and engender widespread change within a number of established industries and practices.
On 25 September, 2015, world leaders met at the United Nations in New York, where they adopted the Sustainable Development Goals. These 17 goals and 169 targets set out an agenda for sustainable ...development for all nations that embraces economic growth, social inclusion, and environmental protection. Now, the agenda moves from agreeing the goals to implementing and ultimately achieving them. Across the goals, 42 targets focus on means of implementation, and the final goal, Goal 17, is entirely devoted to means of implementation. However, these implementation targets are largely silent about interlinkages and interdependencies among goals. This leaves open the possibility of perverse outcomes and unrealised synergies. We demonstrate that there must be greater attention on interlinkages in three areas: across
sectors
(e.g., finance, agriculture, energy, and transport), across societal
actors
(local authorities, government agencies, private sector, and civil society), and between and among low, medium and high income
countries
. Drawing on a global sustainability science and practice perspective, we provide seven recommendations to improve these interlinkages at both global and national levels, in relation to the UN’s categories of means of implementation: finance, technology, capacity building, trade, policy coherence, partnerships, and, finally, data, monitoring and accountability.
We outline the business opportunity for the provision of measurement technology, linked to the internet, i.e. the internet-of-things (IoT), which feeds information into blockchains, providing ...reliable and trusted data and an incentive for others to contribute towards progress on the United Nations’ Sustainable Development Goals (SDGs). Both existing businesses and start-ups could exploit these new opportunities, which could inspire the participation of employees, volunteers, donors, and other participants. We provide a conceptual framework for the different ways business can play a role in facilitating measurement of SDGs, and trust in these measurements, by harnessing technology.
•Recent studies on smart cities focus on aspects such as citizens, quality of living, and sustainability.•Majorities of the studies were conducted in Spain, USA, India, UK and Italy.•IoT, cloud ...computing, and Bluetooth are the technologies that are discussed in relation to smart cities.•The concept and practice of Smart cities has the potential to deliver to many of the UN sustainable development goals.
Smart cities employ information and communication technologies to improve: the quality of life for its citizens, the local economy, transport, traffic management, environment, and interaction with government. Due to the relevance of smart cities (also referred using other related terms such as Digital City, Information City, Intelligent City, Knowledge-based City, Ubiquitous City, Wired City) to various stakeholders and the benefits and challenges associated with its implementation, the concept of smart cities has attracted significant attention from researchers within multiple fields, including information systems. This study provides a valuable synthesis of the relevant literature by analysing and discussing the key findings from existing research on issues related to smart cities from an Information Systems perspective. The research analysed and discussed in this study focuses on number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart architecture as well as related technologies and concepts. The discussion also focusses on the alignment of smart cities with the UN sustainable development goals. This comprehensive review offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.
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