Analysis of Regional Difference of Agricultural Land Productivity in Heilongjiang Province

The sustenance of humanity is contingent upon the production of food.The foundation of this production is agriculture,which in turn is dependent upon the cultivation of the land.As a fundamental element of agricultural advancement,the rational development and utilization of land play a pivotal role in the process of rural revitalization.Agricultural land productivity serves as a principal indicator of the efficacy of land utilization and the extent of agricultural advancement.Nevertheless,there is a paucity of research examining the productivity of agricultural land,particularly a lack of specialized research on large agricultural provinces.In light of the aforementioned considerations,this paper presents a comprehensive examination of agricultural land productivity and its regional variations in Heilongjiang Province in 2022,with the aid of pertinent statistical data.The findings of the analysis indicate that among the prefecture-level cities,Daqing and Suihua exhibit the highest levels of agricultural land productivity.Additionally,Zhaodong City,Zhaozhou,Qinggang,Wangkui,and Lanxi counties exhibit high levels of agricultural land productivity within their respective prefecture-level cities.There are notable disparities in agricultural land productivity across various regions,including Yichun,Heihe,Harbin,Daqing,Hegang,and Suihua.In contrast,other regions demonstrate a more balanced spatial distribution.In order to facilitate the prosperous development of the agricultural industry in Heilongjiang Province,it is essential to optimize the spatial planning of the land,to investigate the potential for agricultural development in each region,to establish effective collaboration between resources and industries,and to create a development synergy that will collectively advance rural revitalization.

Evolving patterns of agricultural production space in China:A network-based approach

The agricultural production space,as where and how much each agricultural product grows,plays a vital role in meeting the increasing and diverse food demands.Previous studies on agricultural production patterns have predominantly centered on individual or specific crop types,using methods such as remote sensing or statistical metrological analysis.In this study,we characterize the agricultural production space(APS)by bipartite network connecting agricultural products and provinces,to reveal the relatedness between diverse agricultural products and the spatiotemporal characteristic of provincial production capabilities in China.The results show that core products are cereal,pork,melon,and pome fruit;meanwhile the milk,grape,and fiber crop show an upward trend in centrality,which is in line with diet structure changes in China over the past decades.The little changes in community components and structures of agricultural products and provinces reveal that agricultural production patterns in China are relatively stable.Additionally,identified provincial communities closely resemble China's agricultural natural zones.Furthermore,the observed growth in production capabilities in North and Northeast China implies their potential focus areas for future agricultural production.Despite the superior production capa-bilities of southern provinces,recent years have witnessed a notable decline,warranting special attentions.The findings provide a comprehensive perspective for understanding the complex relationship of agricultural prod-ucts'relatedness,production capabilities and production patterns,which serve as a reference for the agricultural spatial optimization and agricultural sustainable development.

Mixed Integer Robust Programming Model for Multimodal Fresh Agricultural Products Terminal Distribution Network Design

The low efficiency and high cost of fresh agricultural product terminal distribution directly restrict the operation of the entire supply network.To reduce costs and optimize the distribution network,we construct a mixed integer programmingmodel that comprehensively considers tominimize fixed,transportation,fresh-keeping,time,carbon emissions,and performance incentive costs.We analyzed the performance of traditional rider distribution and robot distribution modes in detail.In addition,the uncertainty of the actual market demand poses a huge threat to the stability of the terminal distribution network.In order to resist uncertain interference,we further extend the model to a robust counterpart form.The results of the simulation show that the instability of random parameters will lead to an increase in the cost.Compared with the traditional rider distribution mode,the robot distribution mode can save 12.7%on logistics costs,and the distribution efficiency is higher.Our research can provide support for the design of planning schemes for transportation enterprise managers.

Construction of BDS Spatiotemporal Information Agricultural Product Digital Credit System

Spatiotemporal information,positioning and navigation services have become important elements of new type infrastructure.The rapid development of global digital trade provides a large-scale application scenario for the use of Beidou Navigation Satellite System(BDS)spatiotemporal information to support the certification of origin of agricultural products.The BDS spatiotemporal information agricultural product digital credit system uses such modules as BDS,spatiotemporal information collection,spatiotemporal coding,and spatiotemporal blockchain.It incorporates multi-level joint supervision mechanisms such as government,associations,and users.Starting from the initial production link of agricultural products,it realizes the correspondence and locking of online and offline products,effectively improves the integrity and credibility of information in the production process,finished product quality and circulation process of products,effectively manages the green production and anti-channel conflicts of producers,and provides credible information for consumers,thus realizing the digital credit certification of products.The successful practice of characteristic agricultural products in Yunnan Province has verified the application ability of the BDS spatiotemporal information agricultural product digital credit system.This system has played a significant role in promoting the online and offline locking,credible information,effective supervision and high quality and high price of characteristic agricultural products from the field.The BDS provides services for global digital trade and contributes to the further enhancement of the global application scale of GNSS.

Implications of the Development of Agricultural Research Institutes from the Perspective of New Quality Productive Forces

Combining with the important exposition of general secretary Xi Jinping on the development of new quality productive forces,this paper discusses the connotation and development requirements of new quality productive forces in agriculture,and reveals the relationship between the development of new quality productive forces and the professional work of scientific research institutes.On this basis,some policy recommendations are put forward for agricultural research institutes to develop new quality productive forces.

Brand Construction of Characteristic Agricultural Products in Ethnic Regions under the Background of Rural Revitalization:A Case Study of Honeysuckle Industry of Mashan County

The brand construction of agricultural products is a necessary path for agricultural development and an effective way to enhance the added value and market competitiveness of agricultural products.How to do a good job in building agricultural product brands under the background of rural revitalization?This paper takes the honeysuckle industry in Mashan County,Nanning as a case study for comprehensive analysis,forming a driving force for the high-quality development of characteristic agricultural industries.

Research on the Application of Blockchain Technology in Cold Chain Logistics for Agricultural Products

With the continuous advancement of science and technology and the advent of the digital era,blockchain technology is increasingly demonstrating its great potential across various industries due to its unique features of decentralization,transparency,and immutability.In particular,in the cold chain logistics of agricultural products,the application of blockchain technology can not only enhance logistics efficiency but also ensure food safety and boost consumer trust[1].This paper first outlines the advantages of blockchain technology in cold chain logistics for agricultural products,and then clarifies the application pathways of blockchain technology in this field,providing a reference for relevant researchers.

Research of Blockchain Technology in the Traceability of Characteristic Agricultural Products

With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.

Agricultural productivity growth and technology progress in developing country agriculture: case study in China

The goal of this investigation was to analyze the impact of some production variables (input) on agricultural pro- ductivity growth (output) in China from 1989～2002. We selected through random sampling Zhejiang Province for our disaggre- gate analysis with the use of Cobb-Douglas function. The estimation results showed that all key parameters are significant and are of the expected sign. Labor and that capital and land have positive impact on agricultural productivity growth.

Process Reengineering of Cold Chain Logistics of Agricultural Products Based on Low-carbon Economy

Through the process analysis of cold chain logistics of agricultural products,we find that cold chain logistics of agricultural products contradict the development model of low-carbon economy to some extent.We apply the development idea of low-carbon economy,introduce the thirdparty logistics companies,establish distribution center of cold chain logistics of agricultural products,and strengthen information sharing,to reengineer the process of cold chain logistics of agricultural products in China.The results show that applying low-carbon economy to process reengineering of cold chain logistics of agricultural products,has advantages of increasing added value of products,promoting scale merit and abating lag,plays a role in promoting emission reduction,high efficiency and environmental protection in the process of cold chain logistics of agricultural products in China.

Spatial-temporal Evolution Pattern of Agricultural Productivity in Northwestern Sichuan Plateau

Currently, the agricultural growth in developed countries mainly relies on the improvement of productivity, which is also the target for China. Accordingly, the purpose of this study was to describe the spatial-temporal evolution pattern of agricultural productivity, to reveal changes in total factor productivity in 2ooo-2olo, and analyze the impact of these changes in northwestern Sichuan plateau, China. Using data envelopment analysis （DEA） and the Malmquist Index, an in-depth study was conducted on agricultural productivity and changes in total factor productivity of 31 counties in northwestern Sichuan plateau. Results indicated that： （1） geographically, counties with optimal efficiency were mainly located in the north of northwestern Sichuan plateau and those with the lowest efficiency, in the south; （2） relative to pure technical efficiency, scale efficiency was the dominant factor in determining agricultural productivity; （3） the redundancy rate of input factors in zolo was slightly lower than that in zooo, thereby indicating an improved utilization of input factors to a certain extent and a great potential for further improving such utilization; （4） during the 2ooo-2olo period, the agricultural total factor productivity had an average annual growth rate of 8.3%, but the growth rates in various regions differed widely; （5） technical progress was the dominant factor promoting the improvement of total factor oroductivitv inagriculture. The disparities in spatial distribution may be due to the differences of natural conditions, former level agricultural productivity between counties. The findings are valuable for the government to make sustainable development policies for agriculture and improving agricultural development in northwestern Sichuan plateau.

The Growth Path of Agricultural Labor Productivity in Major Grain Producing Areas

The growth of agricultural labor productivity in major grain producing areas arises from the increase in production factors or improvement of efficiency,and is related to the sustainability of agricultural economic growth and national food security. We study the growth path of agricultural labor productivity in 13 major grain producing areas of China,and the analysis results show that from the relative endowments of land and labor in major grain producing areas,the growth rate of the output value per unit of labor is higher than that of the productivity per unit of land; in essence,this growth path of increasing the output value relying on increasing the production factor inputs is the reduction of labor,and the reduction of agricultural labor has a great elasticity of impact on the total value of agricultural production. In the case of stable future number of agricultural labor in China,the growth of agricultural labor productivity will be impossible to rely more on the increase in agricultural production factor inputs,and the growth path of agricultural economy still has to rely on the improvement of land productivity and take the efficiency-based path.

Operation Mechanism of Farmers' Professional Cooperatives from the Point of Low-Carbon Agricultural Products

We firstly take a look at internal logic of cluster development of low-carbon agricultural products.In combination with operation features of farmers' professional cooperatives and actual requirements for cluster development of low-carbon agricultural products;we elaborate establishing benefit allocation mechanism,bearing education and training functions,forming low-carbon value,building low-carbon identification system,as well as realizing low-carbon value.According to these situations,we systematically analyze operation mechanism of farmers' professional cooperatives suitable for cluster development of low-carbon agricultural products.To promote cluster development of low-carbon agricultural products,we put forward following suggestions,including government guidance and encouragement,social acceptance and active cooperation,and integration into global low-carbon development system to share benefit of low-carbon development.

Risk preferences and the low-carbon agricultural technology adoption:Evidence from rice production in China

Climate change which is mainly caused by carbon emissions is a global problem affecting the economic development and well-being of human society.Low-carbon agriculture is of particular significance in slowing down global warming and reaching the goal of“carbon peak and carbon neutrality”.Therefore,taking straw incorporation as an example,this paper aims to investigate the impact of risk preferences on farmers’low-carbon agricultural technology(LCAT)adoption.Based on a two-phase micro-survey data of 1038 rice farmers in Jiangsu,Jiangxi,and Hunan provinces,this paper uses experimental economics methods to measure farmers’risk aversion and loss aversion to obtain the real risk preferences information of the farmers.We also explore the data to examine the actual LCAT adoption behavior of farmers.The results revealed that both risk aversion and loss aversion significantly inhibit farmers’LCAT adoption:more risk-averse or more loss-averse farmers are less likely to adopt LCAT.It is further found that crop insurance,farm scale and governmental regulations can alleviate the negative impact of risk aversion and loss aversion on farmers’LCAT adoption.Therefore,we propose that local governments need to promote low-carbon agricultural development by propagating the benefits of LCAT,extending crop insurance,promoting appropriate scale operations,and strengthening governmental regulations to promote farmers’LCAT adoption.

AN ANALYSIS ON THE INFLUENCE OF GLOBAL CLIMATIC CHANGE UPON NATURAL ZONES AND AGRICULTURAL POTENTIALPRODUCTIVITY IN CHINA

According to climatic, hydrological, soil and vegetation data from671 stations in China, 12 temperate zones contains 45 natural regions areidentified. In this paper, methods like migration of crop distribution , potentialproductivity, and dynamic modelling are used to research changs of naturalzones and natural regions of eco-envirotunent.

Analysis of the Contribution of Total Factor Productivity to Agricultural Yield in Anhui Province

By analyzing data concerning agricultural development from 1981 to 2010 in Anhui Province,the total factor productivity and growth rate of agriculture from 1981 to 2010 are estimated empirically.By dividing years from 1981 to 2010 into several subintervals,this paper evaluates and analyzes initial stage of reform and opening up,soft landing stage,the stage of financial crisis,the stage of subprime mortgage crisis and the impact of all factors on total factor growth rate of agriculture.Then it analyzes the contribution of growth of total factor productivity to total yield of agricultural economy.The research finds that the growth of total factor productivity in Anhui Province is significant to agricultural development.

How Does the Agricultural Ecosystem Productivity Respond to Climate Fluctuations in the Northern Farming-pastoral Region?

Using meteorological data and mathematical statistics analysis,we take Jungar Banner in the northern farming-pastoral region of China for example,to analyze the fluctuations in the precipitation and average temperature in Jungar Banner during the period 1961-2009.We calculate the NPP of agricultural ecosystem and climatic yield of the main crops in the region during the period 1961-2009,and expound the response of agricultural ecosystem productivity to climate fluctuations in Jungar Banner.Indubitably the climate changes impose great effects on the structure and function of regional ecosystem,and there is a need to take a number of measures to minimize the detrimental effects of climate changes on climatic yield of the main crops.

Evaluation on the Influencing Factors of Agricultural Land Productivity in Huang-Huai Plain,China

Taking Huang-Huai Plain as an example,evaluation index system is established from four aspects,including the resources condition,the social and economic condition,the agricultural science and technology condition,and the disaster resistant and sustainable production condition.Correlation coefficient method and expert consultation method are used to determine the weight of evaluation index.After the standardization of extreme value,weighted sum method and multiple regression method are adopted to evaluate the influencing factors of agricultural land productivity in Huang-Huai Plain,China.Evaluation result shows that agricultural science and technology condition has a lower contribution rate to the productivity of Huang-Huai Plain than that to Henan Province.Resources condition has a higher contribution rate to the productivity of Huang-Huai Plain than that to Henan Province.Both the social and economic condition and the disaster control and sustainable production condition show relatively small contribution rate to the productivity of Huang-Huai Plain.It can be concluded that the main factors affecting the productivity of Huang-Huai Plain are the backward agricultural science and technology level,the poor farmland quality and the farmland infrastructure.Based on this,relevant suggestions are put forward to improve the farmland productivity of Huang-Huai Plain.

Banking Sector Development and Agricultural Productivity in Central African Economic and Monetary Community (CEMAC)

There is high pressure for investment capital and financial services for agricultural activities necessary for poverty reduction,economic growth,sustainable development and food security.This study investigated the long-term causation between banking sector development and agricultural productivity in the six Central African Economic and Monetary Community(CEMAC)states from 1990 to 2018,hypothesizing no causation between banking sector and agriculture output.With the autoregressive distributed lag(ARDL)model and vector error correction model(VECM),the study demonstrates that banking sector and agricultural productivity in the CEMAC region are related.It implies long-run relationship exists between banking sector and agricultural productivity in the CEMAC zone.The results reveal that bidirectional causality exists between banking sector and agricultural productivity in the CEMAC region.This is insinuating that in the CEMAC region,agricultural productivity and banking sector development are operating in mutualism.The findings indicate the reason to establish the banking sector using proper macroeconomic,legal and regulatory policies to boost agricultural productivity by creating incentive systems that channel more credit to agricultural investment and promoting the banking system.

Spatio-temporal Pattern and Driving Forces of Comprehensive Agricultural Productivity in Jilin Province,China

Improving comprehensive agricultural productivity is an important measure to realize agricultural modernization.Based on the data from Jilin Statistical Yearbook,this study analyzed the spatial and temporal characteristics of comprehensive agricultural productivity discrepancy in the main agricultural production areas of Jilin Province,China.The comprehensive agricultural productivity of 25 county-level administrative units were evaluated by a comprehensive index system based on five aspects which included 20 indicators from 2004 to 2017.The pattern of the discrepancy was analyzed by the spatial differentiation indices and spatial convergence theory.The results were as follows:1) the overall comprehensive agricultural productivity was in a ’W-type’ rising trend;2) the discrepancy was in’inverted W-type’ trend;3) the spatial distribution characteristics were mainly discrete plaque and ’inverted V-type’;4) the formation of differences was forced by a combination of internal and external driving forces.Our study demonstrates the effectiveness of rising agricultural productivity and the level of economic and social developments in different counties in Jilin Province.