To construct the Agricultural Scientific and Technical Information Core Metadata (ASTICM) standard and its expanding principles, and to develop a register system based on ASTICM, the policy and methods of DC (Dubli...To construct the Agricultural Scientific and Technical Information Core Metadata (ASTICM) standard and its expanding principles, and to develop a register system based on ASTICM, the policy and methods of DC (Dublin Core) and SDBCM (Scientific Database Core Metadata) were studied. The construction of ASTICM has started from the proposed elements of the DCMI (Dublin Core Metadata Initiative), and has expanded the DC and SDBCM with related expanding principles. ASTICM finally includes 75 metadata elements, five expanded principles, and seven application profile creation methods. According to the requirement analysis of a large number of users of agricultural information, a register system based on ASTICM was developed. The ASTICM standard framework and its register system supported the search, sharing, integration exchange and other applications, effectively.展开更多
Facility agriculture is an essential carrier for promoting stable production and supply.In2020,the planting area of facility agriculture in Beijing(290098000 m2)accounted for 29.06%of the total planting area of crops(...Facility agriculture is an essential carrier for promoting stable production and supply.In2020,the planting area of facility agriculture in Beijing(290098000 m2)accounted for 29.06%of the total planting area of crops(998078000 m2),and the output value accounted for 46.56%.In2022,Beijing Agricultural Technology Extension Station organized relevant departments to summarize and evaluate the agricultural facilities in Beijing through consultation materials,interviews,questionnaires,and field trips,combining survey data and statistical data to draw the following conclusions.Facilities play a major supporting role in stabilizing production and ensuring supply.The number of traditional greenhouses is extensive and covers a large area,so special planning and classification upgrades are urgently needed.Facilities are rich in scientific and technological resources,but the mode of production is out of date.It is of great significance to improve the comprehensive production capacity of facility agriculture and promote the healthy and stable development of facility industry in Beijing to increase the utilization rate of facility agriculture land,strengthen the support of facility science and technology,and cultivate the socialized service organization of facility.展开更多
Based on the cross-sectional data of the survey conducted in China's main wheat producing areas at the end of 2019,this paper uses the translog production function model to estimate agricultural technical efficien...Based on the cross-sectional data of the survey conducted in China's main wheat producing areas at the end of 2019,this paper uses the translog production function model to estimate agricultural technical efficiency,and studies the relationship between nonfarm employment,agricultural machinery service purchase and agricultural production efficiency.The results show that the household non-agricultural employment ratio and non-agricultural income have a significant positive impact on the purchase of agricultural machinery services.In addition to the effect of scale efficiency,non-agricultural employment does not have a significant impact on agricultural technical efficiency,and labor transfer does not have a significant negative impact on agricultural production.展开更多
This article analyzed the importance of information monitoring and quick response on agricultural focuses and significant events, proposed the workflow and technical framework for information monitoring and quick resp...This article analyzed the importance of information monitoring and quick response on agricultural focuses and significant events, proposed the workflow and technical framework for information monitoring and quick response based on modern information technologies, and explained key technologies during implementation and the functional structure for prototype system of the technical support platform.展开更多
This study provides estimates of smallholder household's production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data f...This study provides estimates of smallholder household's production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data from Ethiopia. Cobb-Douglas stochastic frontier production function was modeled in the context of local level agricultural innovation systems framework and estimated using 2011 milk production data on 304 dairy farmers. Results show that the mean level of technical efficiency among the sampled farmers was about 26%. This result suggests that there is room for significant increases of production through reallocation of existing resources. Despite significant variation among farmers, these results also indicate only 19% of farmers have mean efficiency scores (_〉 50%), implying a need to focus on creating innovation capacity that pushes the production frontier outward in the dairy production system. It is also revealed that individual farm households' efficiency varied widely across dairy technology adoption status, gender and districts. The significant gamma (g) statistic, of 0.9985 in the analysis indicates that about 99.85% variation in the output of milk production would be attributed to technical inefficiency effects (those under farmer's control) while only 0.0015% would be due to random effects, i.e., beyond the farmers control and hence calling for a focus on efficiency enhancing investments. Education, farm size, extension visit and off-farm income opportunity were found to be efficiency enhancing. The study recommends that different components of an agricultural innovation system have to interact to improve the innovation capacity of different actors and thereby improve the estimated technical inefficiencies.展开更多
The existing calculation methods for the number of agricultural surplus labor have a common flaw,that is,they can not reflect the impact of technical efficiency changes in agricultural production on the surplus labor....The existing calculation methods for the number of agricultural surplus labor have a common flaw,that is,they can not reflect the impact of technical efficiency changes in agricultural production on the surplus labor. Based on the basic principle of stochastic frontier production function,this paper calculates the agricultural production technical efficiency of various provinces,and selects the province with the highest technical efficiency to assume that its agricultural labor is fully utilized,and there is no agricultural surplus labor. With the ratio of agricultural labor number to agricultural output value in this province as a reference,this paper calculates the number of agricultural surplus labor in other provinces. This calculation method makes up for the shortcomings of the existing calculation methods; it reflects the relationship between the number of agricultural surplus labor and production technical efficiency.展开更多
Agricultural production efficiency in Taiwan of China in 2015 is studied by using three-stage DEA model. The results show that total output value of agriculture,forestry,animal husbandry and fishery is taken as output...Agricultural production efficiency in Taiwan of China in 2015 is studied by using three-stage DEA model. The results show that total output value of agriculture,forestry,animal husbandry and fishery is taken as output index,while employees of agriculture,forestry,animal husbandry and fishery,number of tractors,investment in dry land and paddy field are taken as input indexes,which meets " isotropic" condition assumption of model application. Natural disaster,number of workers in agricultural production and marketing class,expenditure on farmland water conservancy are not favorable for the promotion of agricultural production efficiency,while multiple cropping index is favorable for promoting agricultural production efficiency. Three-stage DEA model effectively eliminates the influences of environmental and random factors on agricultural production efficiency. After environmental and random factors are eliminated,comprehensive technical efficiency in Taiwan of China declines because of the decline of pure technical efficiency. Each county and city of Taiwan could be divided into different types according to pure technical efficiency and scale efficiency,and it can have some emphasis in improving agricultural production efficiency according to their own efficiency characteristics.展开更多
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 country...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.展开更多
Technical Barriers to Trade (TBT) have become an important obstacle to the export of Chinese agricultural products. This paper illustrates the characteristics of TBT and measures their influence on the export of Chi...Technical Barriers to Trade (TBT) have become an important obstacle to the export of Chinese agricultural products. This paper illustrates the characteristics of TBT and measures their influence on the export of Chinese agricultural products and food. In conclusion, some countermeasures are discussed for China responding to TBT.展开更多
Intangible cultural heritage has a rich connotation of unique thinking way, ethical imaginationand cultural awareness, which is an important sign of national spiritual culture. Possessing the specialvalues of professi...Intangible cultural heritage has a rich connotation of unique thinking way, ethical imaginationand cultural awareness, which is an important sign of national spiritual culture. Possessing the specialvalues of professionalism, permanency, security and openness, with the advantages museums play acentral role in inheriting and rescuing our intangible cultural heritage. Museums have a lot of technicalmeans for museums to protect and inherit intangible cultural heritage, such as scientific research,preservation of material carrier, museum publications, displays on intangible cultural heritage, estab-lishing thematic museums. In intangible cultural heritage, agricultural heritage is the most importantpart. The core content of which is the ideas and methods of harmony between mankind and environ-ment. There is a variety of practices on the protection by China National Agricultural Museum.展开更多
This article analyses the agricultural production efficiency of all cities and areas in Shaanxi Province in the period 2006-2009 using data envelopment analysis method,and compares the agricultural production efficien...This article analyses the agricultural production efficiency of all cities and areas in Shaanxi Province in the period 2006-2009 using data envelopment analysis method,and compares the agricultural production efficiency between all cities and areas.The results show that the agricultural production efficiency and scale efficiency of agriculture of Shaanxi Province are high on the whole,but the efficiency of agricultural technology is very low,agricultural development still relies on factor inputs,and the driving role of technological progress is not conspicuous.Finally the following countermeasures are put forward to promote agricultural productivity in Shaanxi Province:improve the construction of agricultural infrastructure,and increase agricultural input;accelerate the project of extending agricultural technology into households,and promote the conversion and use rate of agricultural scientific and technological achievements;establish and improve industrial system of agriculture,and speed up the building of various agricultural cooperative economic organizations.展开更多
文摘To construct the Agricultural Scientific and Technical Information Core Metadata (ASTICM) standard and its expanding principles, and to develop a register system based on ASTICM, the policy and methods of DC (Dublin Core) and SDBCM (Scientific Database Core Metadata) were studied. The construction of ASTICM has started from the proposed elements of the DCMI (Dublin Core Metadata Initiative), and has expanded the DC and SDBCM with related expanding principles. ASTICM finally includes 75 metadata elements, five expanded principles, and seven application profile creation methods. According to the requirement analysis of a large number of users of agricultural information, a register system based on ASTICM was developed. The ASTICM standard framework and its register system supported the search, sharing, integration exchange and other applications, effectively.
基金supported by the Rural Revitalization Science and Technology Project of Beijing(No.20221230-01)Beijing Agriculture Innovation Consortium(No.BAIC 2022-1)。
文摘Facility agriculture is an essential carrier for promoting stable production and supply.In2020,the planting area of facility agriculture in Beijing(290098000 m2)accounted for 29.06%of the total planting area of crops(998078000 m2),and the output value accounted for 46.56%.In2022,Beijing Agricultural Technology Extension Station organized relevant departments to summarize and evaluate the agricultural facilities in Beijing through consultation materials,interviews,questionnaires,and field trips,combining survey data and statistical data to draw the following conclusions.Facilities play a major supporting role in stabilizing production and ensuring supply.The number of traditional greenhouses is extensive and covers a large area,so special planning and classification upgrades are urgently needed.Facilities are rich in scientific and technological resources,but the mode of production is out of date.It is of great significance to improve the comprehensive production capacity of facility agriculture and promote the healthy and stable development of facility industry in Beijing to increase the utilization rate of facility agriculture land,strengthen the support of facility science and technology,and cultivate the socialized service organization of facility.
文摘Based on the cross-sectional data of the survey conducted in China's main wheat producing areas at the end of 2019,this paper uses the translog production function model to estimate agricultural technical efficiency,and studies the relationship between nonfarm employment,agricultural machinery service purchase and agricultural production efficiency.The results show that the household non-agricultural employment ratio and non-agricultural income have a significant positive impact on the purchase of agricultural machinery services.In addition to the effect of scale efficiency,non-agricultural employment does not have a significant impact on agricultural technical efficiency,and labor transfer does not have a significant negative impact on agricultural production.
文摘This article analyzed the importance of information monitoring and quick response on agricultural focuses and significant events, proposed the workflow and technical framework for information monitoring and quick response based on modern information technologies, and explained key technologies during implementation and the functional structure for prototype system of the technical support platform.
文摘This study provides estimates of smallholder household's production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data from Ethiopia. Cobb-Douglas stochastic frontier production function was modeled in the context of local level agricultural innovation systems framework and estimated using 2011 milk production data on 304 dairy farmers. Results show that the mean level of technical efficiency among the sampled farmers was about 26%. This result suggests that there is room for significant increases of production through reallocation of existing resources. Despite significant variation among farmers, these results also indicate only 19% of farmers have mean efficiency scores (_〉 50%), implying a need to focus on creating innovation capacity that pushes the production frontier outward in the dairy production system. It is also revealed that individual farm households' efficiency varied widely across dairy technology adoption status, gender and districts. The significant gamma (g) statistic, of 0.9985 in the analysis indicates that about 99.85% variation in the output of milk production would be attributed to technical inefficiency effects (those under farmer's control) while only 0.0015% would be due to random effects, i.e., beyond the farmers control and hence calling for a focus on efficiency enhancing investments. Education, farm size, extension visit and off-farm income opportunity were found to be efficiency enhancing. The study recommends that different components of an agricultural innovation system have to interact to improve the innovation capacity of different actors and thereby improve the estimated technical inefficiencies.
基金Supported by the Fundamental Research Funds for Central Universities(SWU1409313)Fund Project for the Enterprise Management Cultivation Disciplines,Rongchang Campus,Southwest University(RCQG207001)
文摘The existing calculation methods for the number of agricultural surplus labor have a common flaw,that is,they can not reflect the impact of technical efficiency changes in agricultural production on the surplus labor. Based on the basic principle of stochastic frontier production function,this paper calculates the agricultural production technical efficiency of various provinces,and selects the province with the highest technical efficiency to assume that its agricultural labor is fully utilized,and there is no agricultural surplus labor. With the ratio of agricultural labor number to agricultural output value in this province as a reference,this paper calculates the number of agricultural surplus labor in other provinces. This calculation method makes up for the shortcomings of the existing calculation methods; it reflects the relationship between the number of agricultural surplus labor and production technical efficiency.
基金Supported by Special Fund of National Modern Agricultural (Citrus) Industry Technology System (MATS) of Ministry of Agriculture(CARS-26-07B)
文摘Agricultural production efficiency in Taiwan of China in 2015 is studied by using three-stage DEA model. The results show that total output value of agriculture,forestry,animal husbandry and fishery is taken as output index,while employees of agriculture,forestry,animal husbandry and fishery,number of tractors,investment in dry land and paddy field are taken as input indexes,which meets " isotropic" condition assumption of model application. Natural disaster,number of workers in agricultural production and marketing class,expenditure on farmland water conservancy are not favorable for the promotion of agricultural production efficiency,while multiple cropping index is favorable for promoting agricultural production efficiency. Three-stage DEA model effectively eliminates the influences of environmental and random factors on agricultural production efficiency. After environmental and random factors are eliminated,comprehensive technical efficiency in Taiwan of China declines because of the decline of pure technical efficiency. Each county and city of Taiwan could be divided into different types according to pure technical efficiency and scale efficiency,and it can have some emphasis in improving agricultural production efficiency according to their own efficiency characteristics.
基金the Beijing Food Safety Policy and Strategy Research Base at the China Agricultural University(CAU)the National Natural Science Foundation of China(NSFC)under the“Study on the Effects of Spouse Migration and Health Awareness on Rural Migrant Workers’Food Consumption,Nutrition and Health”(Grant No.71673316)the Ministry of Agriculture and Rural Affairs under the soft science research program“Study on the Bottlenecks of E-Commerce Development for Agricultural Products and Countermeasures(Grant No.2018027).
文摘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.
文摘Technical Barriers to Trade (TBT) have become an important obstacle to the export of Chinese agricultural products. This paper illustrates the characteristics of TBT and measures their influence on the export of Chinese agricultural products and food. In conclusion, some countermeasures are discussed for China responding to TBT.
文摘Intangible cultural heritage has a rich connotation of unique thinking way, ethical imaginationand cultural awareness, which is an important sign of national spiritual culture. Possessing the specialvalues of professionalism, permanency, security and openness, with the advantages museums play acentral role in inheriting and rescuing our intangible cultural heritage. Museums have a lot of technicalmeans for museums to protect and inherit intangible cultural heritage, such as scientific research,preservation of material carrier, museum publications, displays on intangible cultural heritage, estab-lishing thematic museums. In intangible cultural heritage, agricultural heritage is the most importantpart. The core content of which is the ideas and methods of harmony between mankind and environ-ment. There is a variety of practices on the protection by China National Agricultural Museum.
基金Supported by Science and Research Foundation of Xianyang Normal University (08XSYK107)
文摘This article analyses the agricultural production efficiency of all cities and areas in Shaanxi Province in the period 2006-2009 using data envelopment analysis method,and compares the agricultural production efficiency between all cities and areas.The results show that the agricultural production efficiency and scale efficiency of agriculture of Shaanxi Province are high on the whole,but the efficiency of agricultural technology is very low,agricultural development still relies on factor inputs,and the driving role of technological progress is not conspicuous.Finally the following countermeasures are put forward to promote agricultural productivity in Shaanxi Province:improve the construction of agricultural infrastructure,and increase agricultural input;accelerate the project of extending agricultural technology into households,and promote the conversion and use rate of agricultural scientific and technological achievements;establish and improve industrial system of agriculture,and speed up the building of various agricultural cooperative economic organizations.