Suchergebnisse

Em um cenário de expansão e precariedade urbana, as áreas verdes agem como atenuantes dos problemas ambientais e de saúde. Considerando a importância da gestão ambiental para a qualidade ambiental, objetiva-se analisar a gestão de áreas verdes no município de São Paulo e seu avanço em direção à sustentabilidade, através de levantamento bibliográfico, pesquisa documental, entrevistas com atores chave e estruturação de modelo de análise. O poder público possui estrutura institucional e Legal para empreender as ações de comando e controle ambientais, existem fontes de financiamento e mecanismos para efetivar a participação social. Na última década houve avanço em relação à gestão, com a criação de novos parques. No entanto, é importante que haja fortalecimento do processo de planejamento, ampliação da fiscalização, criação de incentivos para manutenção de áreas verdes particulares e, maior interlocução da política de áreas verdes com outras políticas urbanas, como tem ocorrido em países como Alemanha.

Purpose
This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).


Design/methodology/approach
The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.


Findings
A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).


Practical implications
The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.


Originality/value
The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.