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With the active promotion of the concept of common prosperity, farmland has once again become the focus of attention in political and academic circles, and many scholars have advocated the further visualization of the property value of farmland elements to increase farmers' income. To promote the coordinated development of China's food security and common prosperity strategies, this paper attempts to reveal the dilemma facing farmland capitalization. Theoretically, based on the factor allocation decision logic of full-time and part-time farmers, this paper proposed the dilemma of farmland capitalization between increasing food production and farm household income. We empirically constructed a model to measure farmland capitalization and characterized its degree in 27 provinces in China's mainland from 2004 to 2020. The study also provided empirical support for the theoretical analysis by using a threshold regression model and a mediating effect model based on 790 microsamples from typical provinces. The results found that: ① Farmland capitalization showed a trend of increasing year by year nationwide, with a spatial distribution pattern of spreading from the center to the surrounding areas, and the provinces with a higher degree of farmland capitalization were concentrated in the main grain-producing areas. ② The impact of farmland transfer prices on grain production had structural effects depending on the degree of farmland capitalization: In the moderate capitalization scenario (farmland capitalization≤1.011), farmland price increases promoted the expansion of food crop acreage; in the excessive capitalization scenario (farmland capitalization≥1.154), farmland price increases suppressed food crop acreage. ③ Farmland capitalization helped to meet farmers' psychological expectations on the value of farmland assets, and significantly increased farmers' income by promoting two paths: the outflow of farmland and off-farm employment. ④ Farmland capitalization in China was facing a dilemma between increasing food production and increasing farmers' income, which posed an important potential problem for national food security. The capitalization of farmland can not only improve the problem of insufficient property income in the income structure of farm households, but also promote the non-farm transfer of rural labor, but behind it is the fact that a large amount of farmland is 'nongrain.' In the future, the Chinese government should emphasize the production factor attributes of farmland, use policy tools to guide the rational return of farmland prices, improve the market for productive agricultural services, and prevent the risk of farmland over-capitalization. [ABSTRACT FROM AUTHOR]

Water is the lifeblood of agriculture. Different from land resources, water resources can flow across regions. Based on the perspective of ‘physical water and virtual water’ flow and using the panel data of 31 provinces (autonomous regions and municipalities) in China from 2004 to 2020, this paper used the dynamic spatial Durbin model to estimate the impact of regional grain trade on the pro⁃ portion of grain planting and that of rice, wheat, and corn in the context of inter-basin water transfer. The results showed that: ① For grain output areas, the impact of ‘physical water and virtual water’ flow decreased, the overall proportion of grain planting increased, and the proportion of corn planting among the grains decreased. It showed that the increase of water resource pressure in grain output areas played a greater role in promoting the induced technological change of grain production and strengthening the regional production division than limiting them, and there was a ‘paradox of irrigation efficiency’, that is, the progress of water-saving technology led to the increase of high water consumption crops. ② For grain input areas, the impact of ‘physical water and virtual water’ flow increased, the proportion of grain planting decreased, the proportion of short-term rice and corn planting increased, the proportion of rice (high water consumption crop) planting increased more, the proportion of long-term rice and corn planting decreased, and the proportion of corn (low water consumption crop) planting decreased more. It showed that the regional division of labor and strengthening of grain production reduced the proportion of grain planting in grain input areas, but the internal structure of grain was developing in the direction of more water consumption. ③ Under the current ‘physical water and virtual water’ flow, the grain input areas had a negative spatial spill⁃ over effect on the grain planting proportion in the output areas and the corn planting proportion among the grains, which showed that the reduction of water resource pressure in the grain input areas had a negative impact on the grain production in the grain output areas, and intensified the phenomenon of ‘paradox of irrigation efficiency’ in the internal structure of grain. The grain output areas had no significant impact on the grain planting proportion in the grain input areas. In the short term, the planting proportion of rice and corn was reduced, and the planting proportion of rice, a high water consuming crop, was reduced more, the planting proportion of rice and corn increased in the long term, and the planting proportion of corn, a low water consuming crop, increased more, indicating that the grain out⁃ put areas promoted the development of the internal structure of grain in the grain input areas in the direction of water saving. Finally, this paper puts forward the policy implications of implementing the overall management of ‘physical water and virtual water’, vigorously promoting the development of water-saving agriculture in grain output areas, and establishing regional grain virtual water compensation systems. [ABSTRACT FROM AUTHOR]

The aims of this paper is to illustrate the importance of grain production in China's food security strategy based on the three Northeastern provinces (NEP) in the new period, which quantitative assessment of climate change under the background of the loss caused by meteorological disasters of regional food production is clarify. In this paper, using grain planting area, yield and agricultural disaster statistics from 1981 to 2020, comparison analysis grain production and disaster characteristics between NEP and the whole country respectively. The disaster-yield assessment model was used to estimate the disaster-yield loss and final yield of the NEP by inputting disaster data in recent 10 years, and the sensitivity and stability of the disaster-yield assessment model were re-tested. The results showed that :(1) from 1981 to 2020, the grain planting area and total output in NEP increased significantly, and the proportion of the total output of NEP increased steadily, and the proportion of the total output of the three northeast provinces reached 1/5 of the total output of the whole country by 2020. (2) The disaster situation in NEP showed a significant trend of first increasing and then decreasing. The incrasing of average grain yield during the past 40 years was 65.96kg⋅ha-1 and 252.5kg⋅ha-1 per year for NEP and the whole country, while the incrasing of average grain yield during the past 10 years was 52.6kg⋅ha-1 per year for NEP significantly. (3) From 2011 to 2020, the average affected area and affected area in China were 23704.5x10³ha and 11204.7x10³ha, respectively, and 3899.1x10³disasters of the whole country and the three northeastern provinces were significantly lower than those of the previous three years, making it the decade with the least severe disasters in 40 years. (4) The simulation accuracy of the disaster-yield assessment model was high. The linear regression coefficients (R²) of simulated grain yield and measured grain yield in Heilongjiang, Jilin and Liaoning provinces were 0.98, 0.90 and 0.88, respectively. The slopes were 1.05, 1.02 and 0.98 (P < 0.01), respectively. The loss rate of grain yield due to agro-disaster was 10.4%, 17.9% and 18.0% respectively in the three province, while which was more than 8.0%, 17.0% and 16.0% for 20a.years. (5) The model slightly overestimated the grain yield of Jilin and Liaoning in recent 10 years due to the overall light disaster situation. Based on the data from 1981 to 2010, the regional grain disaster loss assessment model was proved to be able to evaluate the loss of grain yield caused by meteorological disasters well, and had the performance of predicting grain yield, and has the feasibility of operational application. The impact of meteorological disasters on the grain output in northeast China is higher than the average level of disasters in the whole country. Considering that the grain output in Northeast China accounts for a high proportion of the national grain output, preventing the risk of agro-meteorological disasters in Northeast China in the new period is of great importance to guarantee the national food security. [ABSTRACT FROM AUTHOR]

As one of the most important staple crops in China,wheat production target both high yield and high quality is very essential to simultaneously meeting the demands for food security and life quality. It has been found that both contents of key chemicals and processing quality vary greatly within different layers of wheat kernels. This provides a potential approach to achieve both high-yield and high-quality of wheat. In this paper,we detailly reviewed the spatial distributions of protein and its components,starch,dietary fiber and microelements. We further discussed the underlying mechanisms on the formation of protein and starch spatial distribution in the views of supply of substrate and synthetic capacity of protein and starch. The paper also summarized the regulation effects of cultivation practices on quality spatial distribution. Finally,we proposed the breakthrough solutions for exploring the underlying mechanisms on quality spatial distribution. This paper will provide research views for achieving the production of wheat with both high yield and high quality. [ABSTRACT FROM AUTHOR]

The aim of this paper is to assess the loss of grain production caused by agrometeorological disasters in the Inner Mongolia Autonomous Region (IMAR), which is an important grain production base of China. The disaster-yield assessment model was formed and verified using grain production, yield, planting area and agrometeorological disaster conditions data of the IMAR from 1981 to 2020, and the loss of grain yield caused by meteorological disasters was assessed by this model. The results showed that grain production, yield and planting area observed an escalating trend from 1981 to 2020, and the rate of increase was 78.85×104t·y-1, 100.97kg·ha-1·y-1 and 74.48×10³ha-1·y-1. The covered and affected area of agrometeorological disasters for the IMAR and National both increased and then decreased during the 1981-2020 period. Drought was the most important agrometeorological disaster in the IMAR, and the covered and affected area was 64.10% and 62.45%, respectively, accounting the total covered and affected area of all kinds of disasters in 1981-2020. The grey correlation analysis showed that drought had the highest correlation with grain yield at the level of disaster covered and affected rate, and hail had the highest correlation with grain yield at the level of disaster destory rate. The disaster-yield assessment model constructed by this study was of high simulation accuracy, and the linear regression coefficients (R²) and the slop between the simulated and measured grain yield was 0.99 and 0.98, respectively (P < 0.01). The average relative simulation yield was 0.20% and relative simulation error of the following year grain yield was 2.49%. Grain yield loss rate due to disaster in the IMAR decreased (R²=0.77，P<0.01) from 1981 to 2020 with a rate of 0.48 percentage points·y-1, and average grain yield loss rate was 14.79% and there were 68.42% of years which grain yield loss rate above 10%. The disaster-yield assessment model of the IMAR formulated in this study can simulate and predict grain yield, and assess the loss of grain yield due to disasters, which can meet the needs of agrometeorological services. [ABSTRACT FROM AUTHOR]

Although scarcity of irrigation water restricts grain production, it can promote agricultural technology progress to increase supply elasticities of grain. To shed light on the comprehensive effect of irrigation water pressure on grain production structure, this paper explores the effects of irrigation water pressure, grain price changes and their interaction on the yields of different crops based on heterogeneous coefficient Nerlove model and panel data of 27 provinces from 2002 to 2017. The results show that: (1) The direct effect of irrigation water pressure on grain production structure is increasing proportion of corn yield and reducing proportions of other crops yields. Specifically, the magnitude of that impact is in a descending order from rice, potatoes, beans and wheat. (2) The indirect effect of irrigation water pressure on grain production structure is decreasing supply elasticities of wheat, beans and potatoes while making supply elasticities of rice and maize even larger, which contributes to the increase of proportions of rice yield and corn yield. (3) With growth of irrigation water pressure from 2002 to 2017, its comprehensive effect on grain production structure makes a significant increase in proportion of corn yield and a significant decrease in proportions of beans yield and potatoes yield. Regional analysis reveals an increase in yield proportions of maize and rice in main grain production areas of Northern China, leading to more irrigation water consumption in this region where scarcity of water is severer. And this finding of our paper is a support for "the paradox of irrigation efficiency". [ABSTRACT FROM AUTHOR]

In China, ultra-small-scale agricultural production remains low agricultural income which cannot afford adequate livelihood and as well meet their basic needs of rural households. Smallholder production systems have seriously hindered the sustainable development of China’s agriculture. Family farms with a moderate land scale is a way to develop China's agriculture. Moderate land scale of China's agriculture is affected by multiple factors like average social income level, grain production income, etc. So moderate land scale is a dynamic value. This paper aimed to assess moderate land scales of grain family farms at the municipal level in China based on the method of income equalization. The research findings are as follows. The moderate land scale of grain family farms was 13-14 hm2 in 2016-2017, equivalent to the local household contracted area of 30 times. According to the policy formulated by China’s central government in 2014, the moderate scale of one family farm should be 10-15 times of average household contracted area. That is, the current standard of moderate scale is low. Mainland China can be divided into 9 districts and 38 sub districts according to the different types of land scale management. The moderate scale of the Northeast Region and the Inner Mongolia Plateau Region are 15-17 hm2, the North China Plain Region is about 10 hm2, the Lower Yangtze River Region and the Southeast Coastal Region are 7-9 hm2, the Southwest Mountainous Region is 6 hm2, the Loess Plateau Region is 18 hm2, and the Northwest Arid Region is 25 hm2 . The scale of the Qinghai-Tibet Plateau Region is the highest, 30 hm2 . The ratio of the moderate scale to the average cultivated land area per household in the Inner Mongolia Plateau Region is 8, and the ratio in the North China Plain Region and the Lower Yangtze River Region is about 35. It is difficult for China to achieve scale management on the whole, and the difficulty gradually decreases from the southeast coast to the northwest inland. The boundary line extends from Beijing to Nujiang Lisu Nationality Autonomous region, Yunnan. The moderate scales of grain family farms in the southeast region of the line are mostly 6-10 hm2, and it is difficult to achieve. In contrast, the moderate scales in the northwest region of the line are mostly above 15 hm2, and it is easy to achieve. China's scale management reform is at the initial stage. The promotion speed of scale management should not be fast to avoid social unrest. It is recommended to raise the standard of moderate management scale to the range of 15-20 times, and the standard can be adjusted according to the actual situation in different regions. The government should also promote institutional innovation to reduce high land transfer transaction costs. System reform can be carried out in three aspects. Firstly, the government should promote farmers who do not rely on agriculture to actively release land resources; Secondly, the local governments should actively play a coordinating role to promote land centralization and scale management; Finally, a unified and perfect land circulation market should be established [ABSTRACT FROM AUTHOR]

China achieved ten-year consecutive grain production increase which had never appeared in history no matter in China or in the world during 2003-2013. Till 2015, twelve-year consecutive grain output increase has been achieved. The purpose of this paper is to detect the spatiotemporal patterns and the main investigated contributions of grain output increase at the county level during 2003-2013. Based on factor contribution analysis and GIS, this paper analyzed the spatiotemporal patterns of grain output increase at the county level, taking use of planted area output and yield per unit area. The results showed that: 1) the grain output increase had appeared in more than 75% of the counties in China, most of these counties located in the major grain-producing regions in Northeast Plain and the Huang-Huai-Hai Plain. At the scope of grain output increase accumulation, half of national grain output increase concentrated in the top 198 counties (which accounted for 8.49% of counties in China), and 80% of national grain output increase concentrated in the top 550 counties (which accounted for 23.60% of counties in China); 2) the polarization of grain output increase at the county level was significant: the counties in hysteretic growth and overspeed growth occupied 33.98% and 33.15% of counties respectively, in which the overspeed counties mostly concentrated in Songnen Plain, Sanjiang Plain, the Huang-Huai-Hai Plain, Jianghan Plain, Poyang Lake Plain, Loess Plateau, and Xinjiang Uygur Autonomous Region; 3) as for most counties whose grain output increased during 2003-2013, the expansion of planted area and the promotion of yield per unit area were both important reasons. There are 893 counties where the former played more important role, mainly located in Northeast Plain, the west of Inner-Mongolia Plateau, Hexi Corridor, Jianghan Plain, Dongting Lake Plain and Xinjiang Uygur Autonomous Region. There are 877 counties where the latter played more important role, mainly located in the Huang-Huai-Hai Plain, Loess Plateau, and the southeast of Qinghai-Tibet Plateau. In general, major grain-producing counties were big contributors to the ten-year consecutive grain output increase from 2003 to 2013. Fiscal support for major grain-producing counties was needed to keep the grain production capacity. Only in this way, the national grain security will be ensured. [ABSTRACT FROM AUTHOR]

The grain production transformation is the core content of the evolution of the rural production system. The breakthrough of grain production transformation research can clearly reflect the evolution of regional rural man-land interactions, and provide a new perspective for deepening urban- rural integration and rural transformation. Based on the analysis of grain production transformation since China's reform and opening- up, this paper attempts to construct an analytical framework for China's grain production transformation. We identified four stages in transformation process of grain production, namely, grain as the key link, gricultural restructuring, comprehensive transformation and urban-rural integration. Using GLRL model, the analytical framework of China's grain production transformation was constructed. It was found that the grain production evolved from "Green Loop" stage to "Red Loop" stage, which was gradually integrated from rural local production network into urbanrural production network. In addition, the disturbance factors driving the grain production transformation have multiple spatial-temporal features and cross-scale effects. Factors such as urban-rural integration development, rural vitalization strategy, rural man-land interactions, and globalization will have an important impact on future grain production transformation. Furthermore, optimizing the relationship between grain production and rural transformation provides guarantees for safeguarding the orderly transformation of grain production, and improving the conditions for creating the rural production system. [ABSTRACT FROM AUTHOR]

Silo is widely used in grain, logistics, electric power, metallurgy and other industries. Therefore, the reasonable design of silo structure is the key. China is a large country of grain production, with application of the modern granary environmental protection, energy saving, green and other concepts, the cylinder wall is higher, and larger diameter, occupies less land, saves resources of the silo and is more and more in line with the future development trend of granary, and with the trend of rapid development around the world. With the increasing height and diameter of silo, the problem of failure in silo discharging is becoming more prominent. The dynamic lateral pressure of grain silo during discharging is the major cause of silo failure. In this paper, based on the indoor grain silo discharging model test, the whole process of the silo center emptying was recorded with high-speed camera, the flow pattern of grain was analyzed with image processing technology, and the dynamic pressure generated during the discharge process was measured. Based on this test, the particle flow code (PFC3D) was used to carry out numerical simulation to track the movement of specific particles in the test. By comparing the results of the experiment and the numerical simulation, the mechanism of overpressure in the discharge of the silo was explored. Through this study, in the process of discharging in the center, there were two kinds of flow states, the mass flow and the tubular flow. At the beginning of the discharge, the stored material flowed as mass flow. After a period of time, the upper part of the material flowed as mass flow, the bottom of the storage was a tubular flow, and the mass flow was in the high diameter ratio close to 1 of the height position to convert to tubular flow. When the discharging height reached 1.1m, the stored material flowed in tubular flow until the discharge was completed. Both the dynamic lateral pressure and the static lateral pressure increased with the depth of the measuring point, and the dynamic lateral pressure was greater than the static lateral pressure. At the beginning of the discharge, the dynamic lateral pressure measured by the silo suddenly increased, and then the dynamic lateral pressure value decreased with the continuous reduction of the storage height. The overpressure coefficient measured by the three groups of sensors was larger in the height range of the high diameter ratio close to 1, and the overpressure phenomenon was obvious. In the process of silo discharging, the speed of tubular flow of the bottom stored material was greater than the speed of the mass flow of the middle and upper stored material. There was a pressure arch at the junction of the two flow states, and the existence of the pressurized arch hindered the normal flow of the upper stored material, which led to the self-weight of the stored material and the additional force caused by the change of momentum was almost entirely by the arch, resulting in the increase of the dynamic lateral pressure and a significant overpressure phenomenon. [ABSTRACT FROM AUTHOR]