Is It Possible to Reduce Agricultural Carbon Emissions through More Efficient Irrigation: Empirical Evidence from China

Abstract

Although irrigation systems are critical to the long-term viability of agriculture, they also contribute a significant amount of carbon dioxide emissions. This creates a conflict between reducing greenhouse gas emissions and promoting agricultural growth. Researchers may be able to gain a better understanding of the subject by looking at the connection between irrigation water efficiency (IWE) and agricultural carbon emissions (ACE). With data from 30 Chinese provinces collected between 2002 and 2019, this study examines the dynamic effect of IWE on ACE. According to the results, IWE has the potential to significantly raise ACE. The positive effects of IWE become more pronounced as ACE increases, according to the heterogeneity analysis. ACE in northern China is also more vulnerable to IWE than other ACE regions. Irrigation scales appear to be a significant channel through which IWE positively affects ACE, according to an investigation of possible mechanisms. However, the increased IWE causes the planting structure adjustments, which aids in the reduction of ACE. The results of this study have significant ramifications for public policy.

Spatial correlations and driving mechanisms of low-carbon agricultural development in china

“…The essence of the urbanization process is a multidimensional transmutation process accompanied by the flow of capital, labor, technology, and other factors from the countryside to the city, and the reconfiguration of factors between urban and rural areas, which has a great impact on the production scale and cultivation structure of agriculture (Tian et al, 2016;Xiong et al, 2020;Joséf, 2022); 4) rural labor education level differences (ED) is expressed by the average years of education of rural residents. The labor force is the decision maker of agricultural production methods and its level of education has a significant impact on the adoption and application of pioneering technologies (Wang et al, 2019;Wu et al, 2021;Khanh and Nguyen, 2022); 5) financial development level differences (FI) is expressed by the ratio of deposit and loan balance of financial institutions to GDP, a sound financial service system can provide financial support for agricultural transformation and upgrading and green technology progress (Huang et al, 2014;Cao et al, 2022;Gao et al, 2022); 6) agricultural irrigation water utilization rate differences (WA) is expressed by the ratio of effective irrigated area to cultivated area in each region, agricultural irrigation water use efficiency can affect agricultural carbon emissions and output efficiency by changing inter-regional agricultural production costs and intra-agricultural production structure (Xu et al, 2022); 7) farmland operation scale differences (SC) is expressed by the per capita crop sown area, it has been proven that the scale of agricultural production leads to differences in the cost of adoption of agricultural technology, and that larger scale of operation makes it easier to obtain economies of scale and adopt advanced technology (Helfand and Taylor, 2021;Mao et al, 2021); 8) financial support differences (IN) is expressed by the proportion of local financial expenditure on agriculture, many scholars have found that financial support for agriculture significantly affects agricultural carbon emissions (Guo et al, 2022); 9) marketization level differences (MA) is expressed by the marketization index measurements, according to (Fan et al, 2011). The level of marketization determines the flow and allocation of production factors and therefore has an impact on the spatial association network .…”

The effects of supercritical CO2 on the seepage characteristics and microstructure of water-bearing bituminous coal at in-situ stress conditions

“…Massive CO 2 emissions contribute to the global greenhouse effect, which in turn causes a series of climate catastrophes. Scholars worldwide have proposed many carbon reduction options in response (Liu et al, 2019;Li X. et al, 2022;Xu et al, 2022), including carbon geological storage (CGS), which has gained recognition as an effective way to achieve CO 2 sequestration and reduce greenhouse gas emissions Liu et al, 2021). In particular, CO 2 injection into deep unminable coal seams offers a promising geological reservoir for simultaneous CO 2 storage and coalbed methane (CBM) recovery (Chiquet et al, 2007;Li et al, 2009;Zepeng et al, 2022).…”

Decoupling Effect, Driving Factors and Prediction Analysis of Agricultural Carbon Emission Reduction and Product Supply Guarantee in China

“…are used for studying the type of regional emission reduction interaction and spatial-temporal impact [13,14]. In addition, there are many factors that affect ACE, including ecological environment, economic development level, technological innovation, factor quality, digital inclusive finance, land management scale, aging, specialization and the others [15][16][17][18]. Moreover, technological innovation and ACE as research objects have received extensive attention and become one of current research hot spots.…”