Agricultural Economy In China Research Articles

Comparison of Extraction accuracy of Sugarcane from different resolution satellite images using Deep lab V3+ Mode

Abstract. Sugarcane is an annual or perennial persistent rooted tropical and subtropical herb that grows in tropical and subtropical regions. As China's production ranks among the world's leading, sugarcane industry is an important part of agricultural economy in China. As the largest sugarcane production center in China, Guangxi is one of the most suitable areas for sugarcane cultivation in China and even in the world. Sugarcane industry, as an agricultural advantageous industry in Guangxi, not only has a significant image to the national economy of the region, but also is closely related to the issue of security of national sugar supply. Continuous cropping of sugarcane is very common in Guangxi, which is very helpful for the concentration selection of sugarcane samples. The wide application of satellite remote sensing monitoring technology has become an indispensable means of natural resources monitoring. Using optical satellite remote sensing image to identify and extract sugarcane planting areas is of great significance to quickly and conveniently grasp the information of sugarcane distribution and yield. In this paper, the precision of sugarcane extraction from GF1 and GF2 satellite images is analyzed by using deeplab V3 + model, the effect of optical remote sensing images with different resolution on sugarcane extraction accuracy was studied to provide better data support for dynamic monitoring of sugarcane planting.

Temporal and spatial evolution characteristics and decoupling trend of Chinese agricultural carbon emission efficiency.

This study investigates the spatio-temporal evolution of agricultural carbon emission efficiency (ACEE) in China and its relationship with agricultural economic growth (AEG). The results indicate several findings: Firstly, between 2012 and 2021, China's agricultural carbon emission efficiency exhibited an upward trend, with the mean value increased from 0.349 to 0.807. Furthermore, the distribution pattern shifted from a dispersed, point-like distribution to an aggregated and continuous distribution. Secondly, the average agricultural carbon emission efficiency in China following a decreasing order: South China, Northwest China, Southwest China, East China, North China, Central China and Northeast China. Thirdly, the relationship between agricultural carbon emission efficiency and the agricultural economy in China has transitioned from weak decoupling to negative decoupling. Based on these findings, this study proposes some recommendations to enhance agricultural carbon emission efficiency and promote its decoupling from agricultural economic growth. These recommendations aim to achieve low-carbon and high-efficiency development of agriculture.

Spatial Characteristics of Coupling Development of Ecological Protection and Agricultural Economy in China

[Purpose] To explore the coupling coordination evolution law of China’s agricultural ecological environment and economic development, and provide reference and a decision-making basis for coordinating the relationship between the ecological environment and agricultural economy in the process of China’s agricultural economic development. [Method] Based on the coupling coordination mechanism between ecological protection and agricultural economy, this paper constructs an evaluation index system for agricultural ecological environment and economic growth, and explores the spatiotemporal evolution law of the coupling coordination between the agricultural ecological economic system in China’s 31 province administrative regions from 2010 to 2020. [Result] From 2010 to 2020, the overall development level of China’s agricultural ecology and economy was gradually improving; the level of coupling coordination increased significantly before 2015, but then the growth remained stable; the global Moran’s I index of coordination is “first descending and then ascending”; and the LISA cluster diagram of the local Moran’s I index was “east high and west low” before 2015, but then “west high and east low”. [Conclusions] The level of coupling and coordination development of agricultural ecological economic systems in various provinces has steadily increased, but the development level between regions is uneven. It is necessary to strengthen natural disaster management, increase investment in agricultural development, and enhance regional cooperation between regions to promote high-quality and green sustainable development of agricultural ecological economic systems. [Innovation] A new evaluation index system was constructed, the indicator data are complete and comprehensive (including data from 31 different province administrative regions from 2010 to 2020), and the analysis perspective is rich and diverse (through the comparison and changes of the time and space perspectives, the results from different perspectives were comprehensively analyzed). This paper finds that the coordination degree shows significant periodicity with 2015 as the boundary; the growth rate is “west fast and east slow”.

A Literature Review of Studies on Financial Exclusion in Rural China

Financial exclusion is regarded as one of the hotspots and difficulties in recent years, of which the aggravation will aggravate the gap between urban and rural areas, hinder the promotion of inclusive finance, increase the resistance to the implementation of rural revitalization strategy, and even affect the development of agricultural economy in China. Since 2019, in the face of complicated international situation and continuous domestic epidemic situation, it has played an important role in providing basis and reference for China to promote inclusive finance and rural revitalization strategy through carrying out in-depth research on financial exclusion and improving the research system of financial exclusion under the new economic situation. Therefore, this paper combs the relevant literature from the regional level, county and township level and farmers level, summarizes the common contents of policy recommendations and puts forward new research direction suggestions.

The impact of socio-economic institutional change on agricultural carbon dioxide emission reduction in China

With the change of social economic system and the rapid growth of agricultural economy in China, the amount of agricultural energy consumption and carbon dioxide emissions has increased dramatically. Based on the estimation of agricultural carbon dioxide emissions from 1991 to 2018 in China, this paper uses EKC model to analyze economic growth and agricultural carbon dioxide emissions. The Kaya method is used to decompose the factors affecting agricultural carbon dioxide emissions. The experimental results show that there is a co-integration relationship between economic growth and the total intensity of agricultural carbon emissions, and between economic growth and the intensity of carbon emissions caused by five types of carbon sources: fertilizer, pesticide, agricultural film, agricultural diesel oil and tillage. Economic growth is the main driving factor of agricultural carbon dioxide emissions. In addition, technological progress has a strong role in promoting carbon emission reduction, but it has a certain randomness. However, the impact of energy consumption structure and population size on carbon emissions is not obvious.

Study on the Appropriate Size of Scale Breeding Family Farms

Scale-breeding family farms can meet the demand of meat market and increase the farmers’ income. However, they may cause serious environmental problems to some extent if the waste is not properly handled. In this paper, the appropriate scale of scale breeding family farms was studied from the circular economy theory. Results show that the resource loss rate of middle-scale family farms is lowest among three kinds of scale-breeding family farms. Therefore, the middle-scale should be chosen as optimistic size for sustainable development of agricultural economy in China.

Characterization of a highly virulent and antimicrobial-resistant Acinetobacter baumannii strain isolated from diseased chicks in China.

Poultry husbandry is a very important aspect of the agricultural economy in China. However, chicks are often susceptible to infectious disease microorganisms, such as bacteria, viruses and parasites, causing large economic losses in recent years. In the present study, we isolated an Acinetobacter baumannii strain, CCGGD201101, from diseased chicks in the Jilin Province of China. Regression analyses of virulence and LD50 tests conducted using healthy chicks confirmed that A. baumannii CCGGD201101, with an LD50 of 1.81 (±0.11) × 10(4) CFU, was more virulent than A. baumannii ATCC17978, with an LD50 of 1.73 (±0.13) × 10(7) CFU. Moreover, TEM examination showed that the pili of A. baumannii CCGGD201101 were different from those of ATCC17978. Antibiotic sensitivity analyses showed that A. baumannii CCGGD201101 was sensitive to rifampicin but resistant to most other antibiotics. These results imply that A. baumannii strain CCGGD201101 had both virulence enhancement and antibiotic resistance characteristics, which are beneficial for A. baumannii survival under adverse conditions and enhance fitness and invasiveness in the host. A. baumannii CCGGD20101, with its high virulence and antimicrobial resistance, may be one of the pathogens causing death of diseased chicks.

Analyzing inter-factor substitution and technical progress in the Chinese agricultural sector

In this paper, we employ a trans-log production function model for China’s agricultural sector, with capital, labor and energy as input factors. The output elasticity, substitution elasticity and relative difference in technical progress among the factors are analyzed. The results show that during the period 1980–2012 the growth of the agricultural economy in China benefited from the combined effects of factors accumulation and technical progress. Among the factors, the output elasticity of labor is the largest, followed by capital and energy. Capital, labor and energy are substitutes for one another, but the elasticity of substitution between capital and energy is the highest, with a value of 1.1. In the meantime, the relative difference in technical progress among these factors is insignificant and there is a convergence trend over time. We suggest increasing technological innovation in order to improve the contribution of technology progress as well as allocating more capital into the agricultural sector in order to alleviate the shortage of energy supply and the current problem of “hollow” in the rural labor force. This is of great significance to reducing energy consumption and improving the total factor productivity in the China’s agricultural sector.

RAEDSS: An integrated decision support system for regional agricultural economy in China

Recent advances in artificial intelligence, particularly in the field of multi-agent system theory and techniques, offer great promises in the development of decision support systems. This paper designs an agent-based regional agricultural economy decision support system (RAEDSS) to deal with complex decision problems. It introduces the architecture of the system, including interface agents, management agents, functional agents, model agents, information agents and knowledge agents and their interactions. Since dynamic analysis, evaluation, forecast, optimization and decision of regional agricultural economy are the central task of RAEDSS, this paper gives a detailed discussion on the decision processes and internal mechanisms in the system. Meanwhile, agent-based modeling is introduced to simulate and evaluate policy impact on rural development in different scenarios as an important part in RAEDSS. The simulation result shows that this agent-based agricultural development model is able to perform regeneration and is able to produce likely-to-occur projections of reality. The related issue such as building an agent based on the theory of classifier systems is also surveyed.