Measuring pollutant emissions of cattle breeding and its spatial-temporal variation in China

Yang, Tianle; Li, Fangmin; Du, Min; Wang, Yinxin; Sun, Zhennan

doi:10.1016/j.jenvman.2021.113615

Cited by 15 publications

(8 citation statements)

References 23 publications

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“…Existing studies have explored the mechanistic role of PM 2.5 in air pollution using approaches based on land use models, nighttime light data, and employing methods such as random forest regression and spatiotemporal dynamics. ZHOU Liang et al utilized geostatistics, geographic detectors, and spatial analysis techniques to assess the spatiotemporal evolution patterns and driving factors of PM 2.5 concentration in China [32,33]. In a parallel study, Jianhua Cheng et al employed statistical analysis, hotspot analysis, spatial autocorrelation, mean centers, and geographic detectors to investigate the spatiotemporal variations in the air quality index of major Chinese cities.…”

Section: Discussionmentioning

confidence: 99%

Spatial-Temporal Evolution Characteristics and Influencing Factors of PM2.5 in the Yangtze River Basin

Chen,

Zhou,

et al. 2023

Pol. J. Environ. Stud.

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PM 2.5 is the main source of air pollution in China. The problem of air pollution has become the focus of public opinion and academic research in recent years. This article departs from the traditional single-scale approach and adopts a spatial multiscale perspective. Leveraging annual average PM 2.5 concentration data and urban socioeconomic data spanning the period from 2009 to 2018, in conjunction with atmospheric PM 2.5 remote sensing inversion datasets, a comprehensive analysis is conducted. This analysis encompasses the utilization of GIS spatial-temporal analysis techniques and geographic detectors. The primary objective of this research is to investigate the spatiotemporal evolution characteristics of PM 2.5 in the Yangtze River Basin during the years 2009 to 2018, as well as to elucidate the influencing factors therein. This study is crucial to the joint prevention and control of air pollution. The Results showed that (1) The overall trend in the number of cities with annual average PM 2.5 concentrations below 35 μg/m³ (the annual limit value in China) exhibits fluctuating upward dynamics.(2) From 2009 to 2018, the low-value area distribution of the annual average PM 2.5 concentration in the Yangtze River Basin was stable, whereas the high-value area showed a trend of "first decreasing, then increasing, and then decreasing." (3) The spatial and temporal agglomeration effect was evident, showing an "east-hot, west-cold" agglomeration pattern. From 2009 to 2018, the high-value aggregation area expanded to the middle part of the Yangtze River Basin and then continued to the north. The low-value concentration area was concentrated in the western part of the Yangtze River Basin, and the range change trend was not large. (4) While each variable concurrently engages in interactions, they also exhibit varying degrees of influence on the spatiotemporal distribution of PM 2.5 . Among them, population density and the proportion of urban built-up areas in the index layer of population and urbanization are strongly correlated factors.

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Section: Discussionmentioning

confidence: 99%

Spatial-Temporal Evolution Characteristics and Influencing Factors of PM2.5 in the Yangtze River Basin

Chen,

Zhou,

et al. 2023

Pol. J. Environ. Stud.

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“…Through reviewing a large amount of literature, this study selected pig farming capital, and labor ( 23 ) as input indicators, pig production value ( 1 ), and carbon emission ( 24 ) as desired output indicators and non-desired output indicators, respectively ( Table 1 ).…”

Section: Materials and Methodologymentioning

confidence: 99%

“…Carbon emissions from livestock and poultry farming have been one of the most significant sources of greenhouse gas emissions in China ( 1 ). Statistics from the Food and Agriculture Organization of the United Nations (FAO) show that pigs, cattle, sheep, and poultry account for 18% of overall greenhouse gas emissions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of spatial and temporal characteristics of carbon emission efficiency of pig farming and the influencing factors in China

Guo

Pan

et al. 2023

Front. Public Health

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Pig farming has been a crucial contribution to China's food security although intestinal fermentation and its excrement during pig breeding are major sources of greenhouse gas emissions. In this paper, we measured the carbon emission efficiency of pig farming in 30 provinces (autonomous regions and municipalities) from 2010 to 2020 by using the non-expected output Slack-Based Measure (SBM) model and analyzed the spatial characteristics of the carbon emission efficiency of pig farming in China. We also examined and analyzed the factors influencing the carbon emission efficiency of pig farming by using the limited dependent variable model (Tobit). The results show that: the carbon emission efficiency of pig farming in China shows an M-shaped upward trend over time by comparing the carbon emission efficiency longitudinally during the study period and the carbon emission efficiency of pig farming shows a decreasing trend in the east, central and west regions of China by comparing the carbon emission efficiency of different regions horizontally. It's also shown that regions with low- and extremely-low-efficiency transfer from the east to the central and west regions and the central and regions with high-efficiency transfer to the east. The regression analysis of the factors influencing the carbon emission efficiency of pig breeding shows that the comparative advantage of the pig industry and transportation accessibility is positively correlated with the carbon emission efficiency of pig breeding, whereas the proportion of food resources and market scale is negatively correlated with the carbon emission efficiency of pig breeding. At the same time, the production layout index has no significant influence on the carbon emission efficiency of pig breeding. The research results provide a theoretical basis for regional differentiation of carbon emission management from pig farming, optimizing the layout of the pig industry and reducing environmental pollution.

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“…Research and public opinion generally believe that sharp fluctuations in pig prices and environmental pollution from pig breeding are the main negative effects of the industry, and also that both are due to the lack of macro control, and nonstandard breeding practices among scattered breeders. In contrast, large-scale breeding is thought to help reduce pollution (Yao, 2021;Li et al, 2021;Yang et al, 2021) and reduce price fluctuations in the pork market (Liu et al, 2021a(Liu et al, , 2021bYan, 2019). It is true that medium-and small-scale pig breeding has some problems, including unplanned investment on breeding, an emphasis on short-term interests, the occupation of land resources, and delayed response to national policies.…”

Section: Background and Purpose Of The Studymentioning

confidence: 99%

Small Scale Pig Farming in Northern Shanxi: An Environment, Health and Development Perspective

Yang¹,

Zhang²

2022

JSS

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Over the past three years, under the combined impact of national policies and markets, the landscape of the pig farming industry in China is undergoing great changes, with a large number of medium and small farmers and scattered (sanyang) breeding households withdrawing from the market, and the market shares of large-scale pig breeding enterprises rising. Pressure from environmental protection and industrial transformation is placing the scattered breeding households, which were formerly the mainstay of the breeding industry, in a dilemma. Research and public opinion generally believe that sharp fluctuations in pig prices and environmental pollution from pig breeding are the primary negative effects of the sector and that both are due to the lack of macro control and the nonstandard practices of scattered households. But is this really the case? Drawing on qualitative fieldwork in northern Shanxi, this paper aims to provide a case study of scattered pig breeding and its interaction with environmental protection. Empirical research found that, in this region of Northern Shanxi, where animal husbandry and horticulture are equally important and complementary, pig breeding by scattered households does not put obvious pressure on the environment. Although there is still room for improvement in policy implementation and cooperation among government departments, and so on, pig farming is part of a sustainable agricultural system. Instead of discouraging scattered pig breeding everywhere, policy needs to take local environmental conditions and the relationship between horticulture and livestock rearing into account.

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Measuring pollutant emissions of cattle breeding and its spatial-temporal variation in China

Cited by 15 publications

References 23 publications

Spatial-Temporal Evolution Characteristics and Influencing Factors of PM2.5 in the Yangtze River Basin

Spatial-Temporal Evolution Characteristics and Influencing Factors of PM2.5 in the Yangtze River Basin

Analysis of spatial and temporal characteristics of carbon emission efficiency of pig farming and the influencing factors in China

Small Scale Pig Farming in Northern Shanxi: An Environment, Health and Development Perspective

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