Rural Financial Efficiency, Agricultural Technological Progress and Agricultural Carbon Emissions: Evidence from China

Huang, Hai Feng; Zhu, Ning

doi:10.46488/nept.2022.v21i01.007

Cited by 7 publications

(3 citation statements)

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“…The number of agricultural patents per capita in the primary industry increased from 2.43 to 9.75, an increase of 301.18%, indicating that China’s agricultural technology research and development made great progress. However, China’s current level of agricultural technology is relatively low, and agricultural technology presents the characteristics of “high energy consumption and high emissions” [ 56 ], so it cannot greatly reduce agricultural carbon intensity. In the future, it will be necessary to further increase investment in technology research and development in the agricultural field and focus on agricultural technology with the characteristics of “improving efficiency and controlling pollution” to promote carbon emission reduction in agriculture.…”

Section: Empirical Results and Analysismentioning

confidence: 99%

Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China

Zhong

2022

IJERPH

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China is the largest carbon emitter in the world, with agricultural carbon emissions accounting for 17% of China’s total carbon emissions. Agricultural carbon emission reduction has become the key to achieving the “Double Carbon” goal. At the same time, the role of the digital economy in achieving the “dual carbon” goal cannot be ignored as an important engine to boost the high-quality development of China’s economy. Therefore, this paper uses the panel data of 30 provinces in mainland China from 2011 to 2019 to construct a spatial Durbin model and a mediation effect model to explore the impact of the digital economy on agricultural carbon intensity and the mediating role of agricultural technological progress. The research results show that: (1) China’s agricultural carbon intensity fluctuated and declined during the study period, but the current agricultural carbon intensity is still at a high level; (2) The inhibitory effect of the digital economy on agricultural carbon intensity is achieved by promoting agricultural technological progress, and the intermediary role of agricultural technological progress has been verified; (3) The digital economy can significantly reduce the carbon intensity of agriculture, and this inhibition has a positive spatial spillover effect. According to the research conclusions, the government should speed up the development of internet technology and digital inclusive finance, support agricultural technology research and improve farmers’ human capital, and strengthen regional cooperation to release the contribution of digital economy space.

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Section: Empirical Results and Analysismentioning

confidence: 99%

Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China

Zhong

2022

IJERPH

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“…Agriculture is an important source of greenhouse gas emissions. China is the country with the highest agricultural carbon emissions in the world (Alvarado et al, 2021;Zhang et al, 2019;Zhang and Wang 2020;Fatima et al, 2022). Over the past 40 years of reform and opening up, China's grain production has achieved "eighteen consecutive harvests", which has made great contributions to world food security (Fahad et al, 2022b;Fahad et al, 2022c;Wang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The impact of digital technology use on farmers’ low-carbon production behavior under the background of carbon emission peak and carbon neutrality goals

Huang

Yang

Fahad

2022

Front. Environ. Sci.

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In the digital economy era, as a new production factor, digital technology can break through the information blocking constraints on farmers’ behavior, become an important driving force affecting farmers’ low-carbon production behavior, and provide new opportunities for agricultural green low-carbon transformation and the realization of carbon emission peak and carbon neutrality goals. Based on the field survey data of 571 farm households in Jiangsu Province, China, this paper employs the Ordered Probit model and the mediating effect test method, and takes risk cognition as the mediating variable to empirically analyze the impact of digital technology use on farmers’ low-carbon production behavior and its path. The study results show that environmental risk cognition, health risk cognition, agricultural product safety risk cognition, and pesticide residue risk cognition have a significant positive impact on farmers’ low-carbon production behavior. Study findings also reveal that, on one side, the use of digital technology has a direct effect on the farmers’ low-carbon production behavior, on the other side, it indirectly affects the farmers’ low-carbon production behavior by affecting their risk cognition, that is, risk cognition plays a partial mediation role in this relationship. Furthermore, the results indicate that among the control variables, joint cooperative membership, food security knowledge, agricultural income, technical guidance, and following instructions have a significant and positive impact on farmers’ low-carbon production behavior. Based on study findings, the variable “number of the labor force” has a negative and significant impact on farmers’ low-carbon production behavior. Based on study findings, to effectively realize carbon emission peak and carbon neutrality goals and promote sustainable and high-quality agriculture development, agricultural policy makers should pay attention to the role of digital technology to actively promote low-carbon production behavior.

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“…As an agricultural resource, it is rich and diverse and occupies an important position in the overall pattern of agricultural development in China. Many studies have only focused on agricultural technology progress from the national level [ 7 , 12 , 25 ], and few studies have specifically analyzed agricultural technology progress at the city prefecture level, and the research on the contribution rate of GASTP in the YRD has been even more limited. Therefore, this study takes the YRD as the research object.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Pattern of Green Agricultural Science and Technology Progress: A Case Study in Yangtze River Delta of China

Qian

Kong

2022

IJERPH

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Green agricultural science and technology progress (GASTP) plays an important role in the green transformation of agriculture. This study calculates the contribution rate of GASTP by using the Super-SBM model in the Yangtze River Delta (YRD) from 2011 to 2020. The exploratory spatial data analysis (ESDA) method and the Fixed Effect (FE) panel data model method were adopted to empirically analyze the spatio-temporal patterns of GASTP and its driving mechanism in the YRD. The results showed that: (i) except for Shanghai from 2011 to 2015, the contribution rate of GASTP in the YRD was generally lower than 1 in Anhui Province, Jiangsu Province, and Zhejiang Province, (ii) the level of GASTP had a positive spatial correlation with the study period, except for 2017, and (iii) per capita GDP, agricultural mechanization level, agricultural financial support, and planting structure are four influencing factors of GASTP in the YRD, while total retail sales of social consumer goods and total exports did not have significant effects on GASTP in the YRD. Therefore, we need to increase the opportunities to exchange GASTP experience between cities, improve the environment for agricultural technology extension, and develop follow-up monitoring mechanisms.

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Rural Financial Efficiency, Agricultural Technological Progress and Agricultural Carbon Emissions: Evidence from China

Cited by 7 publications

References 0 publications

Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China

Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China

The impact of digital technology use on farmers’ low-carbon production behavior under the background of carbon emission peak and carbon neutrality goals

Spatio-Temporal Pattern of Green Agricultural Science and Technology Progress: A Case Study in Yangtze River Delta of China

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