Productivity Growth in China's Agriculture During 1985-2010

This paper made an empirical analysis of China＇s agricultural growth path and influential factors using the province-level panel data of agricultural inputs and outputs during 1985-2010.The findings indicate that the increase in agricultural inputs and TFP contributed 40.6 and 55.2% to the agricultural output growth,respectively;China＇s agriculture had jumped out of the pattern which output growth was mainly driven by increasing input.Of the total inputs,chemical fertilizer had the most important contribution to the output growth,followed by mechanical inputs.The contribution of land and labor was negative.China＇s agricultural output growth belonged to the type of induced technology innovation.China＇s agricultural TFP growth had characteristics of fluctuations over time and unbalanced between regions,but the gap between the eastern,the middle,and the western regions has been narrowed.

Analysis of Factors Influencing Comprehensive Productivity of Agriculture in Henan Province on the Basis of Grey Correlation

According to the data from Henan Statistical Yearbook from 2002 to 2008, from production capital, production conditions, labour inputs and financial support, this paper selects 11 variables influencing comprehensive productivity of agriculture in Henan Province. Through calculation and analysis of grey correlation of variables and comprehensive productivity of agriculture, this paper determines the impact of different variables on comprehensive productivity of agriculture. The results show that the agricultural capital has become the most important factor influencing comprehensive productivity of agriculture in Henan Province, while the impact of production conditions, labour inputs and financial support on comprehensive productivity of agriculture in Henan Province diminishes in turn. Corresponding countermeasures and suggestions are put forward to promote the sustainable development of comprehensive productivity of agriculture in Henan Province as follows: strengthen agricultural financial system building, and ensure agricultural production expenditure; scientifically arrange allocation of agricultural resources, and improve agricultural production conditions; carry out training of agricultural skills, and elevate the quality of agricultural labour forces; increase financial expenditure for agricultural production, and optimize financial expenditure structure.

Research on Climate Change and Countermeasure of Agriculture Sustainable Development

Based on the Fourth Intergovernmental Panel on Climate Change(IPCC) Assessment Report and meteorologists' research results of climate change in China,the influences of climate change on agricultural production were analyzed from the aspects of temperature,precipitation,sea-level rise and so on.Concrete measures were put forward to reply to climate change.According to the climate change trends,defensive measures were established to enhance the capacity of agriculture coping with climate change,making full use of advantages while avoiding disadvantages,in order to achieve sustainable development.

Application of Computer Vision Technology in Agriculture

With the development of image processing technology and computer, computer vision technology has been widely used in the production of agriculture,and has made many important achievements. This paper reviews its-research progress on diagnosis of agricultural products, water diagnosis, weed identification,product quality testing and grading, agricultural picking and sorting and other as- pects, and finally put forward its existing problems and prospects for the future.

Technology and Infrastructure Considerations for E-Commerce in Chinese Agriculture

Information technology （IT） was one of the most intensively studied and extensively applied technologies in the 20th century and its research and application will be even more accelerated in the 21st century. The impact of IT is more farreaching than any one may have had imagined, encompassing all facets and sectors of society. Economically, e-commerce generated more than $1.5 trillion in the US in 2004 and is projected to be 30, 15 and 2.6% of the total manufacturing, whole sales and retail sales in the US in 2006 respectively. IT research in agriculture has so far been particularly applied to such fields as precision farming and bioinformatics and in extension and farming practices. As such, its potential application in agricultural e-commerce has only begun to be explored. The United States Department of Agriculture has identified four different functions that e-commerce firms perform in the agricultural sector. They are： （1） information distribution, （2） input supply, （3） commodity trading floor, and （4） logistics/supply chain management. Unlike other industrial products, agricultural products are much more diverse and difficult to process and handle. For instance, fruits and vegetables are perishable and have to reach the market and the hands of consumers within a short period of time. One of the problems for IT applications in agriculture is the lack of standard measures in characteristics and quality of perishable produce and processing foods. Standards are pre-requisites for effective IT application and e-commerce. According to the Global Commerce Initiative, standards bring scalability, portability and affordability to the business process. Standards speed up the supply chain and reduce errors and protect technology investments and ensure system to system interaction and interoperability. Because the complexity of issues involved in standardization, the process of standardization must involve the input and discussion from all segments of the society. Being the largest agricultural country in the world and one of the most active trading partners in the international market, China must also be involved in determining the standards for both domestic and international trades. These measures are the necessary foundations for e-commerce in agriculture. In this paper, we provide a review of the technological development of standardization and coding that are prerequisites for IT application in e-commerce. This understanding is important for professionals in China to promote e- commerce in agriculture. Finally, we propose that a national committee to be formed in China, which includes IT experts from private sectors, academic professionals and governmental officials. This committee should consider the progress being made elsewhere in the world, the unique properties of Chinese commodities and appropriate business models to determine a set of standard measures that are transportable and communicable digitally in the world market for China＇s e- commerce in agriculture.

Effect of Optimization of Agricultural Supply-side Factors on Characteristic Modern Agriculture--A Case Study of Chu Orange Manor

The structural imbalance of supply and demand of agricultural products is the result of agricultural products overemphasizing quantitative growth and neglecting quality improvement. The structural reform of agricultural supply side is to optimize the allocation of agricultural production factors,improve the quality and efficiency of supply,and meet the quality needs of consumers. The optimization of agricultural supply factors is the result of effective supply,rational allocation and comprehensive utilization of natural resources and social resources. The success of Chu Orange Manor has explained the function of the optimization of supply factors to the development of characteristic agriculture. That is,it has promoted the development of high-end agriculture,promoted the brand value of agricultural products,promoted the competitiveness of agriculture,broken the international green trade barrier of agricultural products,promoted the development of modern agriculture with characteristics,and realized the sustainable development of rural areas.

Role of Agricultural Product Quality and Safety in High Quality Development of China's Agriculture

The quality and safety of agricultural products are closely related to human health.They also play an important role in enhancing the competitiveness of China’s agricultural products market,shaping the brand value of agricultural products,and promoting the high-quality development of agriculture.At present,there are still a series of problems in the quality and safety of agricultural products.Relevant departments of the state should strengthen guidance and supervision,improve the quality and safety awareness and management level of agricultural product producers,and encourage producers to participate in the product certification and process certification of agricultural products.In addition,it is necessary to take effective control measures in accordance with the certification requirements,to evaluate their effectiveness,so as to improve the quality and safety of agricultural products and promote the high-quality development of China’s agriculture.

Research on Big Data Platform Design in the Context of Digital Agriculture:Case Study of the Peony Industry in Heze City,China

In recent years,China has successfully set up multiple single-product big data platforms.As an indigenous and unique plant in China,the peony contains immense economic returns,strong social benefits,and profound cultural heritage.Its seed oil,as an emerging edible oil,has attracted much attention.Heze city is one of the places optimal for cultivating peonies.In this context,a study of the big data of the peony industry in Heze city bears practical significance.This paper begins with the literature review of big data platforms for the entire industry.Referring to established single-product big data platforms,it reports the results of a case study of the peony industry in Heze city that identify potential difficulties and problems regarding the building of a big data platform for the peony industry that incorporates the five dimensions of service,management,application,resource,and technology.

Dryland agriculture and rangeland restoration priorities in Afghanistan

Afghanistan is threatened by rangeland degradation.A quantitative visual analysis of Google Earth Imagery was used to systematically locate,characterize and quantify the current extent of rangelands in Afghanistan degraded as a consequence of dryland agriculture.Climate data were used in conjunction with dryland agriculture locations to establish a climate envelope comprised by temperature and mean annual precipitation to create a geographical mask known to contain dryland agriculture.Within this mask we created a grid of 100 km2 cells that we analyzed individually to access dryland agriculture extent.Climatic limits to sustainable dryland agriculture and areas of high restoration priority were also assessed as was the distribution of rain-fed agriculture with respect to the location of traditional migration routes for extensive livestock producers.The extents of agriculture in Afghanistan,at both upper and lower elevations,correlated most closely with mean annual temperature（MAT） at the upper elevation limits,and with mean annual precipitation（MAP） at the lower elevation limits.In total,dryland agriculture comprised 38,980 km2 of former native rangeland.Conversion was highest in the northwestern,northern and northeastern provinces of Herat,Badghis,Faryab,Jawzjan,Sar-e-Pul,Samangan,Balkh,Baghlan,Kunduz,Takhar and Badakhshan,with the highest percentage of conversion occurring in Takhar.An MAP value of 〈400 mm is perceived by farmers as the current climatic limit to sustainable dryland agriculture across the northern regions of the country.Uder this MAP value,approximately 27,677 km2 of converted rangeland met the need for restoration priority.Climate projections indicate that Afghanistan will become warmer and drier in the coming decades.One consequence of this trend is that the MAP threshold of 〈400 mm to sustainable dryland agriculture will become obsolete in the coming decades.Restoration of currently converted rangelands is needed to restore critical grazing areas as is the adoption of prudent range management policies to prevent further land degradation and support a vital livestock industry.Food security is at stake as the conversion of rangelands to unsustainable rain-fed agriculture may leave large tracks of land unusable for either agriculture or livestock production.

Strategic Research on Developing Highland Characteristic Agriculture in Qujing

There are some advantages to develop highland characteristic agriculture in Qujing, such as the superior natural conditions and the favorable ecological environment. Some disadvantages are the outdated fundamental facilities and the laggard agricultural products breed and variety. This paper has put forward some strategies to develop the highland characteristic agriculture in Qujing, namely, to introduce and cultivate some agriculture industrialization leading enterprises; to import the improved breeds; to improve the quality of highland characteristic agricultural products, etc.

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.

Analysis on the Climate Characteristics of Rainstorm Weather over Huaihe River Basin and Its Influence on Agriculture Production

By the daily precipitation data at 18 meteorological stations of Huaihe River basin in recent 50 years,the temporal-spatial distribution features of the rainstorm over Huaihe River basin during 1958- 2007 and its influence on agriculture production were analyzed. The results showed that the interannual change magnitudes of the rainstorm days and rainstorm amount from 1958 to 2007 were fierce. Especially in the late 1990 s,rainstorm days and rainstorm amount increased obviously. As a result of interannual variability of East Asian summer monsoon and East Asian circulation system,rainstorm had significant quasi-2-year periodic oscillation in summer. Because of water vapor and terrain,rainstorm mainly concentrated in the southwest over the Huaihe River basin,but was less in the north.

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.

A study on the allocation of productive factors of Chinese agriculture

Chinese agriculture is undergoing a transformation process from traditional agriculture into modern agricultrue.This article discusses how land. labor, fertilizer, machinery etc. are used in agricultural production of different regions. reveals the influence of natural conditions and economic level on the utilization of modern agricultural factors. It proposes a system of allocation hoes of regional agricultural productive factors and points out the development stage and tendency of allocation of agricultural productive factors in different regions.

Study on the "Going out" Strategy in Reform of the Supply Front for Agriculture

The three rural issues have been always valued by all circles. At present,the main conflict of agriculture in China has been changed from insufficient total amount to structural conflict. Thus,deeply promoting the reform of agricultural supply front has become a primary work in rural areas. It is required to follow the national grain security strategy based on domestic supply and moderate imports,to ensure production capacity. Besides,China should make full use of domestic and foreign markets and resources to protect the domestic agricultural consumption demand,which is favorable for resolving the current structural conflict and also favorable for sustainable agricultural development.

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.

Investments in the Russian Agriculture Under the Economic, Political Volatility

The article states that the purpose of the agricultural industry of Russia is the creation of a market for innovation and investment to improve productivity and competitiveness in the context of growing economic, political, and natural climatic instability and volatility, both in Russia and abroad （membership in the WTO, industry globalization, etc.）. Foreign economic and political sanctions have a growing negative impact. It is very important for the agriculture industry to be supported by the Russian state budget and to have administrative support, the institutional structure of the state, quantitative and qualitative indicators of national support： federal, regional, and municipal. Positive development of the regional and city aspect is also important.

Do ICTs Boost Agricultural Productivity?

Based on panel data from the Rural Fixed Point Survey of the Ministry of Agriculture over the period 2004-2016 and supplementary survey data on information and communications technology(ICT)applications in the countryside,this paper employs the difference in differences(DID)method to analyze the effects of ICT applications on rural households’agricultural total factor productivity(TFP)with mobile phone signal,internet and 3G mobile network connections as indicators,and decomposes and evaluates the constituent factors.Our findings reveal a positive effect of ICTs on rural households’TFP,which primarily stemmed from rising agricultural technical efficiency.However,ICTs exerted no significant effect on agricultural technical progress during this paper’s data period due to limited rural human capital.These findings are consistent with robustness test results based on counterfactual and matching methods.

Response of global agricultural productivity anomalies to drought stress in irrigated and rainfed agriculture

The response of agricultural productivity anomalies to drought stress plays a crucial role in the carbon cycle within terrestrial ecosystems and in ensuring food security. However, detailed analysis of how global agricultural productivity anomalies response to drought stress, particularly within irrigated and rainfed agricultural systems, remains insufficient. In this study, the impact of drought stress on agricultural productivity anomalies during the growing season(zcNDVI^(S)), across both irrigated and rainfed agriculture, were analyzed using a suite of hydro-climatic variables. Specifically, the investigation utilized the multi-scalar Standardized Precipitation Evapotranspiration Index(SPEI), the Multivariate ENSO Index(MEI), and the Madden-Julian Oscillation(MJO). Meanwhile, the relationships between hydroclimatic variables and zcNDVI^(S) were analyzed at one, two, three and four months before the ending of growing season(EOS). Results showed that(1) the percentages of significant(p<0.1) drying trends varied across the globe from 8.30% to 13.42%, 6.50% to 14.63%, 6.52% to 14.23%, and 6.47%to 14.95% at one-, two-, three-, and four-month lead times before EOS, respectively, during 2001–2020, which represented by the multiscalar SPEI. This observation highlights that most regions across the globe tend to be arid, which could significantly impact agricultural productivity;(2) the global mean correlation coefficients(rmax) for SPEI-1, SPEI-3, SPEI-6, SPEI-12(indicating SPEI at 1-, 3-, 6-, and 12-month lags), MEI, and MJO with zcNDVI^(S) ranged between 0.24–0.25, 0.27–0.28, 0.25–0.26, 0.21–0.22, –0.02–0.01 and 0.06–0.11, respectively, across both irrigated and rainfed agriculture system from 2001 to 2020.Agricultural productivity anomalies demonstrated a significant correlation with drought stress. The strongest correlations were noted for SPEI-3 and SPEI-6, suggesting a delayed response of crops to drought conditions. This indicates that agriculture ecosystem experiences prolonged disturbances due to abiotic drought stress;and(3) the percentages of regions that showed significant correlations(p<0.1) between zcNDVI^(S)and drought indices(SPEI-1, SPEI-3, SPEI-6, and SPEI-12), as well as climate indices(MEI and MJO) ranged as follows: 14.77%–20.27%, 21.51%–32.55%, 22.60%–35.68%, 21.89%–35.16%,7.93%–11.20% and 9.44%–17.94%. Quantitatively identifying how zcNDVI^(S) spatially responds to hydro-climatic variables can help us better understand the impact of drought on agricultural productivity anomalies worldwide.

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.