Agricultural Green Ecological Efficiency Evaluation Using BP Neural Network–DEA Model

Qiang, Sun; Sui, Yu

doi:10.3390/systems11060291

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…DEA is commonly used to analyse the efficiency of organizations. Variants of DEA models have been utilised in multiple sectors such as agriculture (Geng et al, 2019;Hesampour et al, 2022;Pan et al, 2022;Sun & Sui, 2023), healthcare (Afonso et al, 2023;Kumar et al, 2020;Onder et al, 2022), financial (Amin & Ibn Boamah, 2023;Boubaker et al, 2023;Muhammad Adib et al, 2023;Ullah et al, 2023), education (Abankina et al, 2016;Ghasemi et al, 2020;Mammadov & Aypay, 2020) and many more.…”

Section: Fundamental Of Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Assessing the energy efficiency of fossil fuel in ASEAN

Syed Ali,

Abdul Rahman,

Mohamad

et al. 2023

Int. J. Renew. Energy Dev.

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The world's industries, transportation systems, and households rely heavily on fossil fuels despite their limited availability and high carbon content. Therefore, it is of the utmost importance to improve fossil fuel energy efficiency in order to facilitate the shift towards a sustainable energy system with reduced greenhouse gas emissions. This paper employs a slacks-based measure network data envelopment analysis model with undesirable outputs to assess the efficiencies of fossil fuel energy in the Association of Southeast Asian Nations (ASEAN) countries during a span of seven years, specifically from 2015 to 2021. The inclusion of undesirable outputs in this study is important because it allows for a more realistic assessment of efficiency by considering factors like CO2 emissions, which are undesirable outcomes associated with fossil fuel use. The datasets utilised in this study are sourced from the U.S. Energy Information Administration and the open data website of Our World in Data. Based on the findings, it can be observed that Singapore and the Philippines have demonstrated outstanding performance in maximising the utilisation of fossil fuels. In contrast, Myanmar exhibits the lowest level of efficiency in this analysis. By identifying top-performing countries in terms of fossil fuel efficiency, it is possible to implement measures to boost efficiency in under-performing countries. This can be achieved through the promotion and adoption of cleaner energy alternatives, specifically renewable energy sources that exhibit a low or negligible carbon footprint. These findings offer significant contributions to policymakers exploring sustainable energy usage, environmental stewardship, and the formulation and execution of comprehensive strategies that aim to mitigate carbon dioxide emissions arising from the consumption of fossil fuels in the ASEAN region.

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Section: Fundamental Of Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Assessing the energy efficiency of fossil fuel in ASEAN

Syed Ali,

Abdul Rahman,

Mohamad

et al. 2023

Int. J. Renew. Energy Dev.

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Spatiotemporal evolution and optimization analysis of investment efficiency in China’s agricultural water conservancy infrastructure based on a two-stage DEA model

Sun,

Zhang,

Liu

et al. 2024

Front. Earth Sci.

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The turbulent international political and economic situation has presented significant challenges to food and water security. Agricultural water conservancy infrastructure has garnered considerable attention due to its crucial role in the allocation and efficient utilization of water resources. Traditional research on the investment efficiency of agricultural water conservancy infrastructure often treats the intermediate impact pathways as a “black box”, neglecting the distinctions among various links. This article employs a two-stage DEA model to partition the impact of agricultural water conservancy infrastructure investment on agricultural output into two stages: water supply and water use. Utilizing data of 31 provinces in China from 2008 to 2022, we measured the efficiency of the two stages, as well as the spatiotemporal distribution and evolution characteristics. The findings reveal a spatial misalignment between water supply and water use efficiency: regions exhibiting higher water supply efficiency in the first stage are primarily those with abundant water resource endowments, whereas water use efficiency in the second stage is closely linked to regional economic development levels. Additionally, the spatial distribution and evolution characteristics of efficiency values indicate that the polarization of water use efficiency is more pronounced, with a significant spatial correlation observed between geographically adjacent areas and those within the same watershed. Conversely, water supply efficiency shows a significant correlation only within the context of watershed relationships. Based on the analysis of the sources of efficiency loss, recommendations include increasing investment in water-saving irrigation technologies, developing agricultural water conservancy infrastructure suitable for large-scale mechanized production, and designing investment compensation mechanisms. Future research is suggested to use econometric models to further examine and identify factors affecting efficiency, particularly the impacts of inter-basin water transfer projects.

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Research on the efficiency and spatiotemporal evolution characteristics of agricultural green development in central cities of the Yangtze River Delta

Han,

Yang,

Xie

2024

Front. Environ. Sci.

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IntroductionAgricultural green development (AGD) prioritizes sustainable growth by integrating economic, ecological, and social dimensions, aiming to harmonize agricultural economic development with environmental protection and social progress.MethodsThis study integrates the three-stage super-efficiency DEA-SBM model with the BP algorithm, creating an advanced DEA-SBM-BP model to overcome the shortcomings of traditional DEA in evaluation and management processes. The study further applies the Dagum Gini coefficient, kernel density estimation (KDE), and Moran’s index to assess and forecast the efficiency and spatiotemporal evolution patterns of green agricultural development in key cities within the Yangtze River Delta.ResultsThe analysis shows that AGD in the central city of the Yangtze River Delta is overall balanced; however, substantial variations exist among cities within individual provinces. Factors like macroeconomic conditions, workforce quality, and policy support play a crucial role in promoting the efficiency of AGD. Among these, macroeconomic development level has a negative impact, while labor quality and policy support exhibit bidirectional effects. Infrastructure construction, digitalization of agricultural economy, and rural security have become key factors in the green development of modern agriculture. The green advancement of agriculture in the central Yangtze River Delta region typically exhibits a marked clustering effect; however, the local clustering reveals a trend toward dispersed development.DiscussionDespite the emergence of new characteristics in agricultural production in China within the context of high-quality development, differences in resource endowments and economic structures among cities continue to be significant factors contributing to regional imbalances and changes in the agglomeration patterns of agricultural development.

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Agricultural Green Ecological Efficiency Evaluation Using BP Neural Network–DEA Model

Cited by 4 publications

References 44 publications

Assessing the energy efficiency of fossil fuel in ASEAN

Assessing the energy efficiency of fossil fuel in ASEAN

Spatiotemporal evolution and optimization analysis of investment efficiency in China’s agricultural water conservancy infrastructure based on a two-stage DEA model

Research on the efficiency and spatiotemporal evolution characteristics of agricultural green development in central cities of the Yangtze River Delta

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