Does the popularization of agricultural mechanization improve energy-environment performance in China’s agricultural sector?

Jiang, Minjie; Hu, Xinjie; Chunga, Joseph; Lin, Ziyi; Fei, Rilong

doi:10.1016/j.jclepro.2020.124210

Cited by 78 publications

(56 citation statements)

References 45 publications

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“…The trends of the emissions of these eight pollutants were generally consistent with that of fuel consumption. This shows that with the rapid economic development, the degree of mechanization in agriculture and construction continues to increase, and the use of non-road mobile equipment is becoming more and more frequent, which has led to a continuous increase in emissions from non-road mobile sources (Hong et al, 2021;Jiang et al, 2020). On the contrary, emissions from non-road mobile sources have gradually declined in recent years, reflecting the substantial effect of the multiple efforts implemented to control emissions of these pollutants from non-road mobile sources.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Shen

Kong

Shi

et al. 2021

Aerosol Air Qual. Res.

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Following increasingly strict supervision of road mobile sources and ongoing research developments, the proportion of non-road mobile source emissions as a contribution to total emissions has become increasingly prominent. Therefore, accurate estimation of an emission inventory of non-road mobile sources is essential for determining policy intended to improve air quality. This study established an inventory of multi-type air pollutant emissions from non-road mobile sources in China for the period 1990-2017. Four types of non-road equipment were considered: construction machinery, agricultural machinery, vessels, and diesel locomotives and nine pollutant types were inventoried: CO, NOx, HC, PM2.5, PM10, BC, OC, VOCs, and SO2. We found that emissions of the investigated pollutants from non-road mobile sources in China increased continually from 1990, decreased slowed after 2014, and then increased again in 2017.Vessels contributed the largest proportion of SO2 pollutant emissions, while agricultural machinery accounted for the largest proportions of the other pollutant emissions from non-road mobile sources.In 2017, emissions of CO and NOx from agricultural machinery were approximately 1472.5 and 2170.4 Gg, accounting for 67.7% and 46.1% of the total CO and NOx emissions from non-road mobile sources, respectively. Analysis of the spatial characteristics of pollutants indicated that high levels of emissions were distributed on the North China Plain and in the Southeast China Coastal Area. The findings revealed the necessity for improving the system for registration of non-road equipment activity. Additionally, China urgently needs further research on the emission characteristics of non-road mobile sources to ensure accurate emission factors.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Shen

Kong

Shi

et al. 2021

Aerosol Air Qual. Res.

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“…Global climate change and increasing population lead to challenges on food security globally. The popularization of agricultural mechanization and related activities could improve agricultural production efficiency to address these challenges (Belton et al 2021 ; Jiang et al 2020 ). However, agricultural mechanization intensifies the demand for agricultural diesel and gasoline, which leads to many carbon emissions and air pollution.…”

Section: Introductionmentioning

confidence: 99%

Relationship and integrated development of low-carbon economy, food safety, and agricultural mechanization

Li¹,

Zhang²

2021

Environ Sci Pollut Res

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The organic integration of food security and agricultural mechanization has become a challenge to realize a low-carbon economy, which helps promote carbon peaking and carbon neutralization. In this work, a simultaneous equation model has developed to analyze the relationship between food security, agricultural automation, and agricultural carbon emissions in China. The ordinary least square method was used to verify the method. The logarithmic mean Divisia index decomposition was used to decompose further the influencing factors of agricultural carbon emissions. Results show that the organic coupling of a low-carbon economy, food security, and agricultural mechanization positively affects environmental protection. In which, unit fertilizer usage and crop sown area have the greatest impact on carbon emission intensity, followed by agricultural diesel fuel and agricultural plastic film. It is worth noting that the bottom line of the grain sown area cannot be touched. It is a prerequisite for ensuring grain production. Finally, this paper presents suggestions based on China's achievements, where the top-level design is crucial.

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“…In recent years, the population bonus has gradually disappeared, labour costs have continued to rise (Li et al, 2019;Qiao, 2017;Zhang et al, 2017;Zhang & Yang, 2019), also the minimum wage has been continuously raised in China (Du & Wang, 2020;Fan et al, 2018;Howell, 2020). At the same time, the level of agricultural mechanisation and organisation in China is relatively low (Jiang et al, 2020;Wang et al, 2016). In this context, does the increase in the minimum wage encourage farmers to adopt production outsourcing, thereby accelerating the division of labour in agricultural production, improving agricultural production efficiency?…”

Section: Introductionmentioning

confidence: 99%

Does a higher minimum wage accelerate labour division in agricultural production? Evidence from the main rice-planting area in China

Guo

Duan

et al. 2021

Economic Research-Ekonomska Istraživanja

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Agricultural production outsourcing, a new means of agricultural production, can optimise the allocation of resources, reduce agricultural production costs, and improve agricultural productivity. However, farmers' outsourcing behaviours are strongly interfered with by many factors such as economics, technology and institutions. Using a farmer-level data set from 2014 to 2018 in China, we examine the effects of the minimum wage increase on rice farmers' production outsourcing behaviours. Our study relies on a Logit regression framework and uses the control function (C.F.) approach to address potential endogeneity concerns. Results show that the minimum wage increase significantly reduces the probability of farmers conducting production outsourcing. We also examine the heterogeneous effects of the minimum wage increase, and find that compared with other outsourcing services, the adverse effects on harvesting outsourcing are the strongest; the negative effects on production outsourcing are stronger for rice farmers with higher education. Our results provide new insights into understanding how labour regulation affects labour division in agricultural production.

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Does the popularization of agricultural mechanization improve energy-environment performance in China’s agricultural sector?

Cited by 78 publications

References 45 publications

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Multi-type Air Pollutant Emission Inventory of Non-road Mobile Sources in China for the Period 1990-2017

Relationship and integrated development of low-carbon economy, food safety, and agricultural mechanization

Does a higher minimum wage accelerate labour division in agricultural production? Evidence from the main rice-planting area in China

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