Dilemma Analysis of China Agricultural Non-point Source Pollution Based on Peasants’ Household Surveys

Rao, Jing; Ji, Xing; Ouyang, Wei; Zhao, Xuchen; Lai, Xuehui

doi:10.1016/j.proenv.2012.01.206

Cited by 15 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, China’s agricultural production model is featured with significant “high output, low efficiency, and high input” because of lower occupancy volume of per capita cultivated land, relatively single rural economy, and pressure on food security. In this way, agricultural production shows a larger input dependency on pollution elements like chemical fertilizers (Liu et al., 2019; Rao et al., 2012). Even though the utilization of these pollution elements can enhance agricultural production efficiency, ensure long‐term efficient supply of agricultural products, and bring higher economic incomes to farmers, it gives rise to relatively severe environmental pollution issues.…”

Section: Research Methods and Data Sourcesmentioning

confidence: 99%

“…On the grounds of sufficiently harmonizing the relationship among nature, economy, and society, pollution discharge intensity is scientifically and reasonably evaluated (Adu & Kumarasamy, 2018). However, characterized by scattered sources, complicated mechanism, lasting pollution, as well as spatial‐temporal uncertainty and randomness of ANPSP, it increased the difficulty of evaluating its discharge intensity (Chen et al., 2019; Ongley et al., 2010; Rao et al., 2012; Yang & Lin, 2019). Particularly, due to the small sample size for studying China’s ANPSP, most studies gave priority to microcosmic regional studies or short‐term panel data (Cai et al., 2013; Wang, Shen, et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years

2021

View full text Add to dashboard Cite

The excessive use of agricultural chemicals and the unreasonable use of agricultural wastes are the main problems encountered by China's agriculture department.However, the comprehensive study on the discharge intensity of China's agricultural non-point source pollution (ANPSP) under the long-term series has not been fully explored. On the basis of our previous research, the spatial-temporal characteristics and influence factors of ANPSP discharge intensity in China from 1978 to 2017 were analyzed. The results showed that the discharge intensity from 1978 to 2017 was on a declining curve and roughly underwent four stages, including the free development stage, reform promotion stage, market regulation stage, and policy incentive stage. In this process, the discharge intensity of COD, total nitrogen (TN), and total phosphorus (TP) was, respectively, declined to 1829.1 tons/10 8 yuan, 758.3 tons/10 8 yuan, and 100.1 tons/10 8 yuan. The regional discharge intensity has varied obviously in space as time goes by, showing the characteristics of spatial agglomeration, agglomeration weakening, spatial differentiation, and differentiation aggravation. The influence factor analysis indicated that under the background of implementing the traditional farming mode, increasing farmers' incomes, adjusting

show abstract

Section: Research Methods and Data Sourcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years

2021

View full text Add to dashboard Cite

show abstract

“…China has a large population and the area of arable land per capita is small. The quality of this land is not high, and agricultural growth has long relied on the excessive use of chemicals [ 17 , 18 , 19 ], which has severely overstretched the available arable land and produced large amounts of carbon emissions. These issues demonstrate how serious the challenges are for the agricultural eco-system [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Spatiotemporal Characteristics of Agricultural Eco-Efficiency Alongside China’s Carbon Neutrality Targets

Cheng

Qiu

et al. 2022

IJERPH

View full text Add to dashboard Cite

Agriculture has the dual effect of contributing to both carbon emissions and sequestration, and thus plays a critical role in mitigating global climate change and achieving carbon neutrality. Agricultural eco-efficiency (AEE) is an important measurement through which we can assess the efforts toward reduced emissions and increased sequestration. The purpose of this study was to understand the relationship between China’s target of carbon neutrality and AEE through an evaluative model, so as to improve AEE and ultimately achieve sustainable agricultural development. The Super-SBM model scientifically measures the AEE based on provincial panel data collected between 2000 and 2020. We selected kernel density function and spatial distribution to explore the spatial and temporal evolutionary trends, and used a Tobit model to identify the drivers of AEE. The research shows that (1) China’s agricultural system functions as a net carbon sink, with all provinces’ agricultural carbon sequestration levels recorded as higher than their carbon emissions from 2000 to 2020. (2) Despite sequestration levels, the level of AEE in China is not high enough, and the average efficiency level from 2000 to 2020 is 0.7726, showing an overall trend where AEE decreased at first and then increased. (3) The AEE of each province is clearly polarized; there are obvious core–periphery characteristics and spatial distribution of clustered contiguous areas. Central provinces generally have lower efficiency, eastern and northeastern provinces have higher efficiency, and northeastern provinces always remain in the high-efficiency group. (4) Influencing factors show that urbanization, upgrading of industrial structure, financial support for agriculture, and mechanization have a significant positive impact on AEE. These findings have important implications for the promotion of the low-carbon green development of Chinese agriculture.

show abstract

“…Comprehensive promotion and application of environmentally friendly agricultural practices are the most direct and effective way to control farmland non-point source pollution and establish sustainable and healthy agricultural ecosystems (Benyehoshua 2005;Wang 2011; Rao et al 2012;Fu et al 2013). Hence, the Chinese government and researchers have promoted various such practices, including (in Chinese rice cultivation) scientific irrigation, soil testing and formula fertilization, side-bar fertilization, rational application of combinations of organic and inorganic fertilizers, low-toxicity and low-persistence microbial pesticides, green crop pest control techniques, returning straw to fields, ecological ditch construction, and conservation buffer strips.…”

Section: Introductionmentioning

confidence: 99%

Use of discrete choice experiments to facilitate design of effective environmentally friendly agricultural policies

Wang

Luo

Pan

et al. 2018

Environ Dev Sustain

View full text Add to dashboard Cite

Appropriate environmentally friendly agricultural technologies and practices must be implemented in China (and many other countries) to reduce farmland non-point source pollution and meet sustainability objectives. A major hindrance to their implementation is that Chinese farmers have very low willingness to accept such practices. Discrete choice experiments (DCEs) have known value for identifying goods or policies with attractive attributes, and thus exploring target groups' choice behavior and addressing such problems. Sound questionnaire design is of paramount importance for robust results. This article describes the nature and theoretical foundations of DCEs and considers their use in diverse applications abroad, and their limited but growing applications in China. It then presents a case study, focused on the detailed design of DCEs intended to gauge paddy farmers' willingness to accept several agriculturally friendly techniques and related compensation methods, problems encountered, and predictions for future studies. KeywordsDiscrete choice experiments • Fractional factorial orthogonal design • Environmentally friendly agricultural technology • Agri-environmental policy design * Liang-guo Luo

show abstract

Dilemma Analysis of China Agricultural Non-point Source Pollution Based on Peasants’ Household Surveys

Cited by 15 publications

References 0 publications

Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years

Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years

Evaluating the Spatiotemporal Characteristics of Agricultural Eco-Efficiency Alongside China’s Carbon Neutrality Targets

Use of discrete choice experiments to facilitate design of effective environmentally friendly agricultural policies

Contact Info

Product

Resources

About