Meeting local economic decision-maker's demand for environmental evidence: The Local Environment and Economic Development (LEED) toolkit

Sunderland, Tim; Butterworth, Tom

doi:10.1016/j.ecoser.2015.12.007

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…Kun et al used the coupling coordination index to evaluate the coordination between regional water and soil resources and ecological environment systems [30]. In the study of the coordination between economy and environment with the coupling model, many scholars further put forward that the coordinated development between economy and environment is a necessary condition for achieving sustainable development [31][32][33][34].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis on the Mechanism and Influencing Factors of the Coordinated Development of Economy and Environment in China’s Resource-Based Cities

et al. 2022

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In order to explore how to achieve the coordinated development of the economy and environment, this paper uses the logistic model to verify that the city economy and the environment can achieve coordinated symbiosis. Next, an evaluation index system was used as empirical testing in order to measure the performance of the economy and environment. Further, the degree of coupling and coordination between them was obtained, and an econometric model was used to find the factors that affect the coordination and symbiosis between them. Finally, the following conclusions were obtained: (1) Resource-based cities of different development types do not show obvious differences in environmental carrying capacity and are basically at a medium carrying capacity level. (2) The level of the economic strength of resource-based cities is constantly improving, although with short-term fluctuations but with a general pace of improvement. (3) The synergy between economy and environment in resource-based cities is not high that the environment lags behind obviously. (4) The factors affecting the coordinated development of the environment and economy of resource-based cities are the annual average population and industrial wastewater discharge, which are contributing to the coordinated development of the economy and environment in resource-based cities. At the same time, the proportion of secondary industry in GDP, investment in fixed assets, and comprehensive utilization rate of general industrial solid waste inhibit the coordinated development of the economy and environment in resource-based cities. Based on the above conclusions, the paper puts forward relevant countermeasures and suggestions.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis on the Mechanism and Influencing Factors of the Coordinated Development of Economy and Environment in China’s Resource-Based Cities

et al. 2022

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“…A Manifesto, 'Leading the Way', was published in 2012 which aimed to grow green economy jobs and GVA, while reducing carbon emissions. The LEP also piloted DEFRA's Local Environment and Economic Development toolkit (Sunderland and Butterworth, 2016), as an example for other UK regions. The green economy strategy has been driven by local purposive actors and institutions, such as Suffolk County Council's aim to be the "greenest county" and individual LEP board members' commitment to sustainability issues (e.g.…”

Section: Green Pathfinder East Of Englandmentioning

confidence: 99%

Sustainability transitions and green regional economies

Gibbs¹

2018

Regions

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Professor David Gibbs presents case studies of two regions (Styria and the East of England) and adopts a multi-level perspective to investigate how these regions have attempted to transition to more sustainable green economies. :Introduction: There has been growing interest by policy makers and academics in the development of the green economy, defined as being "low carbon, resource efficient, and socially inclusive" (UNEP, 2011: 16). Regions and cities have begun to position themselves as leaders in the green economy and as destinations for new forms of investment. However, we have limited understanding of how these developments occur over space, and little purchase on the ways local and regional governments are promoting their green economies or related institutional and governance shifts. Past research

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“…Aunque mayores rendimientos de caña de azúcar pueden implicar mayor cantidad de azúcar final, el incremento por tonelada de caña molida, necesita, además, de mayor eficiencia industrial. Los procesos agrícolas e industriales promueven las transformaciones del ecosistema en campos manejados, para el incremento del servicio de provisión, pero considerar el enfoque de los servicios ecosistémicos en la de toma de decisión, requiere de metodologías robustas, que incluyan el mapeo de su presencia (Vang Rasmussen et al 2016) y analicen colecciones de datos, para incluir aspectos ambientales, dentro del planeamiento económico local (Keith et al 2016;Sunderland & Butterworth, 2016); sin embargo, identificar correctamente conflictos y potencialidades, estimar impactos simultáneos, no es una tarea simple (Villasante et al 2016). El empleo de colecciones de datos y el uso de algoritmos de aprendizaje automáticos pueden ser de ayuda en el ajuste de modelos para el enfoque de los servicios ecosistémicos y la estimación de flujos asociados (Willcock et al 2018).…”

Section: Introductionunclassified

Aplicaciones de aprendizaje automático para el análisis industrial de la provisión azucarera en Matanzas, Cuba

García-López

González-Sáez

Cabrera-Hernández

2022

Rev. U.D.C.A Act. & Div. Cient.

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El análisis de los servicios ecosistémicos puede aportar conocimientos importantes sobre cómo se procesan y se obtienen los bienes del sistema agroindustrial azucarero. Para este trabajo, se recopilaron 346 datos del procesamiento industrial de la caña de azúcar en tres zafras, en la agroindustria del municipio Calimete, Provincia Matanzas (Cuba), con el objetivo de emplear algoritmos de aprendizaje automáticos, para predicciones relacionadas a datos biofísicos y económicos. Se analizaron siete predictores y mediante best subset selection, se identificó la combinación de rendimiento potencial en caña y pérdidas industriales totales, para predecir el servicio de provisión azucarera, mediante la regresión lineal múltiple. Se ajustó, también, un segundo modelo, que predice el efecto económico de las pérdidas industriales. En ambos modelos, se logró explicar por encima del 70 % de la variabilidad observada, en las variables dependientes, con un test F significativo (p-value: < 0,05), además de cumplirse con las condiciones de diagnóstico y validación.

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Meeting local economic decision-maker's demand for environmental evidence: The Local Environment and Economic Development (LEED) toolkit

Cited by 9 publications

References 8 publications

Analysis on the Mechanism and Influencing Factors of the Coordinated Development of Economy and Environment in China’s Resource-Based Cities

Analysis on the Mechanism and Influencing Factors of the Coordinated Development of Economy and Environment in China’s Resource-Based Cities

Sustainability transitions and green regional economies

Aplicaciones de aprendizaje automático para el análisis industrial de la provisión azucarera en Matanzas, Cuba

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