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1 – 3 of 3Flavia Cristina Silva, Fabio Ytoshi Shibao, Isak Kruglianskas, José Carlos Barbieri and Paulo Antonio Almeida Sinisgalli
In total, 19 practices of circular economy divided into three groups, internal environmental management, ecological design and investment recovery were studied in a local network…
Abstract
Purpose
In total, 19 practices of circular economy divided into three groups, internal environmental management, ecological design and investment recovery were studied in a local network composed of small companies and individual entrepreneurs related to common product and by-product flows. The paper aims to discuss these issues.
Design/methodology/approach
This research presents an applied nature, is characterized as exploratory and adopted the case study as a technical procedure using sources and methods of data collection. The primary data were collected through direct observation of the processes and semi-structured interviews with managers and owners.
Findings
The most widespread practices are related to product design. However, in most cases, the implementation was punctual and did not present continuous and corresponding actions, which highlights the embryonic contours of European Commission (EC) in the observed network. The practices from the management category were less observed, which revels the environmental variable is not included in the strategic business planning.
Research limitations/implications
The research documents the application of CE practices in a local network and brings this current paradigm shift to the Brazilian context.
Practical implications
To overcome barriers to the implementation of EC practices, it is suggested to restructure commercial relations, to formulate public policies and to develop infrastructures that facilitate the materiality of flows and the market.
Social implications
The study highlights the need of public policies that promotes cross-sectoral cooperation in accordance with NSWP objectives.
Originality/value
Despite the focus on EC implemented practices this study offers a framework of the research routes on the main barriers and suggests actions to overcome the challenges in the transition from the economy to the circular model.
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Keywords
Yang Li, Yaochen Qin, Liqun Ma and Ziwu Pan
The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau…
Abstract
Purpose
The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau has undergone great changes. This paper aims to clarify the response mechanisms of vegetation to climate change, to provide support for the restoration and environmental treatment of vegetation on the Loess Plateau.
Design/methodology/approach
The Savitsky–Golay (S-G) filtering algorithm was used to reconstruct time series of moderate resolution imaging spectroradiometer (MODIS) 13A2 data. Combined with trend analysis and partial correlation analysis, the influence of climate change on the phenology and enhanced vegetation index (EVI) during the growing season was described.
Findings
The S-G filtering algorithm is suitable for EVI reconstruction of the Loess Plateau. The date of start of growing season was found to gradually later along the Southeast–Northwest direction, whereas the date of the end of the growing season showed the opposite pattern and the length of the growing season gradually shortened. Vegetation EVI values decreased gradually from Southeast to Northwest. Vegetation changed significantly and showed clear differentiation according to different topographic factors. Vegetation correlated positively with precipitation from April to July and with temperature from August to November.
Originality/value
This study provides technical support for ecological environmental assessment, restoration of regional vegetation coverage and environmental governance of the Loess Plateau over the past two decades. It also provides theoretical support for the prediction model of vegetation phenology changes based on remote sensing data.
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