Study on Air Pollution and Control Investment from the Perspective of the Environmental Theory Model: A Case Study in China, 2005–2014

Su, Peng; Lin, Degen; Chen, Qian

doi:10.3390/su10072181

Cited by 16 publications

(7 citation statements)

References 45 publications

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“…Previous researcher (Tung, 1983) noted that a p -value of 2 is the most suitable in the IDW interpolation. The IDW method is used for spatial interpolation in the environmental research of soil properties, terrain mapping, and air pollution (Salekin et al, 2018; Srivastava et al, 2019; Su et al, 2018). In this research, the IDW method has been implemented by ArcGIS with the value of p being 2, and n being 47.…”

Section: Methodsmentioning

confidence: 99%

Application GIS and remote sensing for soil organic carbon mapping in a farm-scale in the hilly area of central Vietnam

Chương

Pham

Nguyen

et al. 2022

Air, Soil and Water Research

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Soil Organic Carbon (SOC) influences many soil properties including nutrient and water holding capacity, nutrient cycling and stability, improved water infiltration and aeration. It also is an essential parameter in the assessment of soil quality, especially for agricultural production. However, SOC mapping is a complicated process that is costly and time-consuming due to the physical challenges of the natural conditions that is being surveyed. The best model for SOC mapping is still in debate among many researchers. Recently, the development of machine learning and Geographical Information Systems (GIS) has provided the potential for more accurate spatial prediction of SOC content. This research was conducted in a relatively small-scale capacity in the Central Vietnam region. The aim of this study is to compare the accuracy of Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Random Forest (RF) methods for SOC interpolation, with a dataset of 47 soil samples for an area of 145 hectares. Three environmental variables including elevation, slope, and the Normalized Difference Vegetation Index (NDVI) were used for the RF model. In the RF model, the values of the number of variables randomly sampled as candidates at each split, (mtry), and the number of bootstrap replicates, (ntree), were determined in terms of 1 and 1,000 respectively The results at our research site showed that using IDW is the most accurate method for SOC mapping, followed by the methods of RF and OK respectively. Concerning SOC mapping based-on auxiliary variables, in areas where there is human activity, the selection of auxiliary variables should be carefully considered because the variation in the SOC may not only be due to environmental variables but also by farming technologies.

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Section: Methodsmentioning

confidence: 99%

Application GIS and remote sensing for soil organic carbon mapping in a farm-scale in the hilly area of central Vietnam

Chương

Pham

Nguyen

et al. 2022

Air, Soil and Water Research

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“…In these regions, the whole society electricity consumption and vehicle ownership also play a positive role in air pollution [46]. The region used to have the most severe air pollution in China, and even the world [47][48][49]. The residents in investigation regions have a deeper and clearer understanding of air pollution [50].…”

Section: Region Descriptionmentioning

confidence: 99%

Residents’ Willingness for Centralized Biogas Production in Hebei and Shandong Provinces

Wang

Dogot

et al. 2019

Sustainability

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Nowadays, in the North China Plain (NCP), most counties and suburban rural regions are promoting the "coal to gas" program under the situation of strong government support of large and medium-sized centralized biogas production (CBP) projects. This paper is aimed at the CBP projects, focuses on rural residents’ “willingness to use (WTU)”, “willingness to buy (WTB)” and the influencing factors for WTU/WTB. Through the analysis of rural residents from Hebei and Shandong provinces that belong to NCP in this survey, we find that 85% of respondents support the CBP program and the WTB is 63.15 CNY/year per capita, which is much lower than the cost of rural CBP in existing survey regions. The participation of rural residents is not only a manifestation of personal and family characteristics; understanding of environmental knowledge, attitudes, and household energy practices are more important. These non-economic factors seriously affect WTU/WTB. Hence, it is necessary to appropriately increase the government revenue to such projects, strengthen government guidance and publicity, improve the environmental knowledge and attitude of rural residents and guide residents’ practice. Based on a fully understanding of residents’ consumption decision mechanism, we establish a financial support mechanism due to the demand response, adopt a correct calculation for financial support, such as a reasonable subsidy rate, and seek the greatest commonality of cost, financial support, and demand.

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“…This nding demonstrated that the industrial pollution management investment and production structure is irrational and ine cient. Su et al (2018) investigated the relationship between air pollution and air pollution control investment in China from 2005 to 2014 using inverse distance weighted interpolation (IDW) and Pearson correlation approaches. The research found a relationship between China's air pollution index (API) and pollution mitigation investment.…”

Section: Introductionmentioning

confidence: 99%

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution

Imran

Hayat

Saeed

et al. 2022

Environ Sci Pollut Res

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The industrial sector of China is critical to the country's economic growth. On the other side, industrialization has resulted in a high rate of emissions, pushing China to spend extensively on industrial pollution remediation. As a result, this study looks at the relationship between investment completed in the treatment of industrial pollution (ICITP) and economic development. A time-xed effect spatial error model was used to analyse regional data from China from 1999 to 2018. The data reveal a positive association between ICTIP and regional economic growth, both in the short and long term. Furthermore, the negative consequences of urban wages and foreign investment on ICTIP are having the reverse effect on regional green development, necessitating ecologically friendly actions to mitigate the negative environmental effects of both.

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Study on Air Pollution and Control Investment from the Perspective of the Environmental Theory Model: A Case Study in China, 2005–2014

Cited by 16 publications

References 45 publications

Application GIS and remote sensing for soil organic carbon mapping in a farm-scale in the hilly area of central Vietnam

Application GIS and remote sensing for soil organic carbon mapping in a farm-scale in the hilly area of central Vietnam

Residents’ Willingness for Centralized Biogas Production in Hebei and Shandong Provinces

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution

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