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Papers
20 resultsShowing papers similar to Measurement and temporal and spatial characteristics of agricultural eco-efficiency under climate change: a case study of Anhui, China
ClearAnalyzing efficiency measurement and influencing factors of China’s marine green economy: Based on a two-stage network DEA model
This study measured marine green economy efficiency across Chinese coastal provinces from 2006 to 2018 using a two-stage network data envelopment analysis model, finding that production efficiency generally improved while ecological efficiency remained lower, and identifying economic development level as a key influencing factor.
Analysis of the spatio-temporal evolution of sustainable land use in China under the carbon emission trading scheme: A measurement idea based on the DID model
Researchers applied a difference-in-differences estimation model to assess the effect of China's carbon emission trading scheme on sustainable land use across provinces from a spatio-temporal perspective. The scheme improved sustainable land use in pilot areas from both economic and environmental dimensions, with effects concentrated in eastern regions and urban agglomerations including the Pearl River Delta.
Zoning management for agricultural non-point source pollution: a national-scale perspective in China
This national-scale Chinese study developed a zoning management framework for agricultural non-point source pollution, integrating ecological sensitivity, pollution load, and agricultural structure to propose differentiated management strategies for reducing water contamination from farming.
Watershed-Based Governance for Agricultural Non-Point Source Pollution: Empirical Insights from the Yangtze River Economic Belt
Researchers examined how China's 'Guiding Opinions on Strengthening Agricultural Non-Point Source Pollution Prevention and Control' affected pollutant emissions across the Yangtze River Economic Belt, using econometric analysis across three governance pathways. They found the policy significantly reduced emissions by curbing mulch film use and consolidating breeding farms, but had no measurable effect on rural domestic pollution due to pre-existing infrastructure investments.
Spatiotemporal Differences in Marine Environment Quality in China and the Influencing Factors
Researchers analyzed panel data from 2011 to 2020 across China's coastal cities and provinces using the entropy method and Theil index to construct marine environment quality (MEQ) indicators and measure regional heterogeneity. The study applied a geographic detector model to identify driving factors and found MEQ increased in waves but remained relatively low, with a spatial pattern of higher quality in northern and southern regions.
Evaluation System for Agricultural and Rural Modernization in China
This paper is not directly about microplastics — it develops a statistical framework to evaluate agricultural and rural modernization in China, identifying gaps in urban-rural coordination and regional disparities rather than examining plastic pollution.
Spatial Characteristics and Driving Forces of the Water Footprint of Spring Maize Production in Northern China
Researchers calculated blue, grey, green, and total water footprints for spring maize production across Northeast China's provinces and municipalities in 2019 and 2020, using the water footprint methodology to evaluate water-use efficiency. They found grey water footprints dominated (accounting for roughly 50-55% of total), identified significant spatial variation driven by irrigation practices and precipitation, and analyzed the key drivers of regional differences in agricultural water consumption.
Assessing spatial variability and source identification of heavy metals in agricultural soils: A geostatistical and multivariate analysis of coastal eastern Zhejiang, China
Researchers used geostatistical and multivariate analysis techniques to assess the spatial variability and sources of five heavy metals in agricultural soils along the coast of eastern Zhejiang, China. While focused primarily on heavy metals rather than microplastics, the study provides methodology relevant to understanding pollutant distribution in coastal agricultural areas. The findings identified industrial emissions, agricultural practices, and natural geological processes as key contamination sources.
Effects of Conservation Tillage on Agricultural Green Total Factor Productivity in Black Soil Region: Evidence from Heilongjiang Province, China
This study evaluated the effects of conservation tillage practices on agricultural green total factor productivity, finding that reduced tillage improves environmental efficiency metrics but requires management adjustments to maintain yields.
The Impact of Resource Spatial Mismatch on the Configuration Analysis of Agricultural Green Total Factor Productivity
This study analyzed how the spatial distribution of agricultural resources affects green farming productivity in China from 2005 to 2021. While not directly about microplastics, it found that pollutant emissions from fertilizers and petroleum products significantly hinder sustainable agriculture. The findings are indirectly relevant because agricultural plastic waste, including mulch films, is a major source of microplastic contamination in farmland soil.
Integrated Ecological Risk Assessment of the Agricultural Area under a High Anthropopressure Based on Chemical, Ecotoxicological and Ecological Indicators
Researchers conducted an integrated ecological risk assessment of agricultural land using chemical, ecotoxicological, and ecological indicators, finding that while chemical analysis overestimated risk, the combined approach revealed most of the area had acceptable risk levels despite over a century of anthropogenic pressure.
Evaluation of the Spatiotemporal Change of Ecological Quality under the Context of Urban Expansion—A Case Study of Typical Urban Agglomerations in China
Researchers tracked changes in ecological quality across three major urban areas in China over two decades of rapid urbanization. They found that urban expansion significantly reduced ecological quality in surrounding areas, with the most severe impacts occurring in newly developed zones. The study provides a framework for monitoring how urbanization affects local ecosystems using remote sensing data.
Study on the influence of industrial structure optimization on water environment and economy: A case study of Changzhou city
Researchers used an EE-SBM-DEA model to classify industries in Changzhou city by environmental performance and then simulated industrial restructuring using coupled 0-D and MIKE11 hydrodynamic models, finding that optimising the industrial structure could increase water environment capacity for key pollutants including COD, total nitrogen, and total phosphorus in overloaded canals.
Identification of surface water quality pollution areas and pollution sources based on spatial clustering and random forest in Henan, China
This study used spatial cluster analysis to identify surface water quality pollution areas and trace pollution sources across Henan Province, China. Spatial dependence analysis revealed distinct contaminated zones and their likely sources, enabling targeted remediation strategies for different pollution types.
Integrating the water-energy-food nexus and LCA + DEA methodology for sustainable fisheries management: A case study of Cantabrian fishing fleets
Researchers evaluated the environmental efficiency of fishing vessels in northern Spain's Cantabrian fleet by combining life cycle assessment — a method that tallies all environmental costs from fuel to catch — with a statistical efficiency model. They found that over one-third of vessels were operating below peak efficiency, and that improving those inefficient boats could cut their environmental impact, including carbon emissions, by up to 65%.
From mapping to modelling: the evolving multidimensional microplastic risks in China's farmlands
Researchers combined a national-scale soil survey with machine learning models to map and project microplastic risks across China's farmlands through 2050, finding that agricultural film use, population density, and GDP are key drivers, and that regional risk rankings will shift counter-intuitively depending on which socioeconomic development pathway is followed.
A First Step towards Developing a Decision Support System Based on the Integration of Environmental Monitoring Activities for Regional Water Resource Protection
Researchers developed a decision support system integrating environmental monitoring data on diffuse pollutants - including nitrates, pesticides, metals, and plastics - to characterise the degradation state of water resources at the municipal level. The open-source system identifies areas sharing similar environmental characteristics and pollution pressure values, providing policymakers with tools for more accurate land management decisions.
Microplastics in agricultural soils on the coastal plain: Spatial characteristics, influencing factors and sources
Researchers surveyed microplastic contamination in agricultural soils along China's southeast coastal plain and found an average of 314 particles per kilogram of soil. They discovered that microplastic levels first increased and then decreased from inland to the coast, a pattern influenced by historical coastline expansion. The study used network analysis to identify textile-related activities and soil properties as the major factors driving microplastic accumulation in farmland.
From DPSIR the DAPSI(W)R(M) Emerges… a Butterfly – ‘protecting the natural stuff and delivering the human stuff’
This review presents the DAPSI(W)R(M) framework as an evolution of the DPSIR model for analyzing social-ecological systems, developed through decades of practical implementation to better capture human-ecosystem interactions and support environmental management decisions.
The Role of Land Use Transition on Industrial Pollution Reduction in the Context of Innovation-Driven: The Case of 30 Provinces in China
This study analyzed data from 30 Chinese provinces to examine how land use transitions associated with urbanization affect industrial pollution levels, finding that innovation-driven development strategies can decouple economic growth from pollution under certain land use conditions.