Sustainable intensification of cultivated land use(SICLU) and large-scale operations(LSO) are widely acknowledged strategies for enhancing agricultural performance.However,the existing literature has faced challenges ...Sustainable intensification of cultivated land use(SICLU) and large-scale operations(LSO) are widely acknowledged strategies for enhancing agricultural performance.However,the existing literature has faced challenges in precisely defining SICLU and constructing comprehensive indicators,which has hindered the exploration of factors influencing LSO within the SICLU framework.To address this gap,we integrated self-efficacy theory into the design of an index framework for evaluating SICLU.We subsequently employed econometric models to analyze the significant factors that impact LSO.Our findings reveal that SICLU can be divided into four key dimensions:intensive management,efficient output,resource conservation,and ecological environment optimization.Furthermore,it is crucial to incorporate belief-based cognitive factors into the index system,as farmers’ understanding of fertilizer and pesticide application significantly influences their willingness to engage in LSO.Moreover,we identify grain market turnover as the most influential factor in promoting LSO,with single-factor contribution rates reaching 70.9% for cultivated land transfer willingness and 62.5% for the total planting areas.Interestingly,unlike irrigation and agricultural machinery inputs,increased labor inputs correspond to larger planting areas for farmers.This trend may be attributed to reduced labor availability because of rural labor migration,whereas the reduction in irrigation and agricultural input is contingent on innovations in production practices and the transfer of cultivated land management rights.Importantly,SICLU dynamically influences LSO,with each index related to SICLU having an optimal range that fosters LSO.These insights offer valuable guidance for policymakers,emphasizing farmers as their central focus,with the adjustment of input and output factors as a means to achieve LSO as the ultimate goal.In conclusion,we propose research avenues for further enriching the SICLU framework to ensure that it aligns with the specific characteristics of regional agricultural development.展开更多
Factors influencing householders' transferring out the cultivated land are analyzed from the aspects of farmers' individual characteristics,farmers' family features,resources endowment features and externa...Factors influencing householders' transferring out the cultivated land are analyzed from the aspects of farmers' individual characteristics,farmers' family features,resources endowment features and external environmental features.And based on the results of the questionnaire survey of 252 households in Chengdu City,the effect of each factor is analyzed through building the dual preference model of Logistic.The result shows that 65.87% of householders have transferred out their cultivated land and proportion of non-agricultural incomes,stability of land ownership,per capita area of cultivated farmland,comminution of cultivated farmland,transferring price and distance to town have relatively significant effect on farmers' transferring out cultivated land.Non-agricultural industries should be developed with great efforts and reasonable transferring prices of cultivated land fixed.Law on Land Contract in Rural Area is to be practically implemented and the steady peasants' vocational skill training system and rural social security system established.Moreover,investment in rural infrastructure should be strengthened to improve the transportation conditions in rural area and promote the market development of cultivated land transference effectively.展开更多
Cultivated land transfer is one of hotspots in research on agriculture,rural areas and farmers in China. Based on research achievements related to cultivated land transfer and the field survey of Yuanzhou District in ...Cultivated land transfer is one of hotspots in research on agriculture,rural areas and farmers in China. Based on research achievements related to cultivated land transfer and the field survey of Yuanzhou District in the Loess Plateau,the primary patterns of cultivated land transfer in rural areas in the Loess Plateau were summarized according to the management subjects of cultivated land. According to the analyses of family income and expenses of a peasant household,the benefit of various patterns of cultivated land transfer to increase farmers' income was analyzed,and the social and ecological benefits of cultivated land transfer were assessed. The results showed that cultivated land transfer had developed rapidly in the Loess Plateau,and 42. 5% of the investigated peasant households took part in cultivated land transfer. The benefit of cultivated land transfer to increase farmers' income was obvious after cultivated land transfer. There were significant differences between various patterns of cultivated land transfer in the increase of farmers' income. The pattern driven by agricultural cooperatives increased farmers' income most obviously,and the annual family earnings per peasant household reached 12072. 99 yuan / a. The social and ecological benefits of cultivated land transfer conducted by peasant households spontaneously were very remarkable. The pattern led by leading enterprises promoted the large-scale operation of cultivated land greatly,but its benefit to increase farmers' income was limited. The comprehensive benefit of the pattern guided by the government was the most balanced. Geographic environment had decisive influences on the choose of patterns of cultivated land transfer in the Loess Plateau.展开更多
Through the method of literature analysis,this paper analyzes the present situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land in China,summarizes the influencing fac...Through the method of literature analysis,this paper analyzes the present situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land in China,summarizes the influencing factors and consequences of the phenomenon of"non-grain conversion"of cultivated land in the transfer of agricultural land,and finally puts forward some measures.The study found that costs and benefits are the fundamental factors affecting the"non-grain conversion"of cultivated land in agricultural land transfer,and other main factors include government and policy guidance,industrial and commercial capital to the countryside,labor transfer and so on.The"non-grain conversion"of cultivated land in the transfer of agricultural land is a serious threat to China s food security,leading to the decline of the quality of agricultural land and the destruction of the ecological environment,as well as the risk of breach of contract in"industrial and commercial capital to the countryside".Based on the understanding of the influencing factors of non-grain conversion,this paper puts forward the following measures:strengthening the control of the use of cultivated land in agricultural land transfer;implementing accurate subsidies for grain cultivation and ensuring the benefit of grain growers;adopting grain planting incentive mechanism to increase grain enthusiasm;strengthening media publicity and education to enhance food security awareness.The improvement of the current situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land will be of great significance to the protection of agricultural land and food security in China.展开更多
Based upon ArCGIS,the vertical spatial transfer law of cultivated land in Yunnan was studied through referring to three periods of remote sensing data of Land-Use and Land-Cover Change(LUCC) in Yunnan in 1986,1995 a...Based upon ArCGIS,the vertical spatial transfer law of cultivated land in Yunnan was studied through referring to three periods of remote sensing data of Land-Use and Land-Cover Change(LUCC) in Yunnan in 1986,1995 and 2000,Digital Elevation Model(DEM) of Yunnan Province and LUCC data in Yunnan from 2000 to 2008.The main factors that promote vertical spatial transfer law of cultivated land were analyzed by using SPSS,and the influence of policies and government acts upon the change of cultivated land was clarified.The findings indicated that for Yunnan cultivated land there is a trend that in the vertical direction steep slope areas and gentle slope areas divert into mid-slope areas.The primary factor influencing the vertical spatial transfer of cultivated land was policies and government acts.Also,the gradient of ground,total population and number of agriculture employed persons were also main factors in influencing the change of cultivated land,whose influence was obviously below policies and government acts.展开更多
Taking Jiangxi Province as an example,on the basis of the sampling survey on 42 counties and cities,64 towns and 74 villages in Jiangxi Province,the will of farmland transfer among different farmer groups with differe...Taking Jiangxi Province as an example,on the basis of the sampling survey on 42 counties and cities,64 towns and 74 villages in Jiangxi Province,the will of farmland transfer among different farmer groups with different income levels,different ages,and different educational backgrounds,is analyzed.The research indicates that as for middle-income or high-income groups,leaving home to seek jobs elsewhere is the most principal factor impacting farmland transfer,while as for low-income group,the price of agricultural products is an important factor impacting farmers’ land cultivation;permanent urban residence certificate is no longer the principal factor causing farmers’ land transfer,and it tends to be rational for farmers to abandon farmland.展开更多
The development of precision agriculture demands high accuracy and efficiency of cultivated land information extraction. As a new means of monitoring the ground in recent years, unmanned aerial vehicle (UAV) low-hei...The development of precision agriculture demands high accuracy and efficiency of cultivated land information extraction. As a new means of monitoring the ground in recent years, unmanned aerial vehicle (UAV) low-height remote sensing technique, which is flexible, efficient with low cost and with high resolution, is widely applied to investing various resources. Based on this, a novel extraction method for cultivated land information based on Deep Convolutional Neural Network and Transfer Learning (DTCLE) was proposed. First, linear features (roads and ridges etc.) were excluded based on Deep Convolutional Neural Network (DCNN). Next, feature extraction method learned from DCNN was used to cultivated land information extraction by introducing transfer learning mechanism. Last, cultivated land information extraction results were completed by the DTCLE and eCognifion for cultivated land information extraction (ECLE). The location of the Pengzhou County and Guanghan County, Sichuan Province were selected for the experimental purpose. The experimental results showed that the overall precision for the experimental image 1, 2 and 3 (of extracting cultivated land) with the DTCLE method was 91.7%, 88.1% and 88.2% respectively, and the overall precision of ECLE is 9o.7%, 90.5% and 87.0%, respectively. Accuracy of DTCLE was equivalent to that of ECLE, and also outperformed ECLE in terms of integrity and continuity.展开更多
The influence of labor migration on rural household land transfer has been hotly debated in academic circles, which focuses on whether part-time employment leads to land transfer. Using survey data on rural households...The influence of labor migration on rural household land transfer has been hotly debated in academic circles, which focuses on whether part-time employment leads to land transfer. Using survey data on rural households in the Sichuan Province, and applying the theoretical framework of new economics of labor migration, this study explores the influences of labor migration on the direction and scale of land transfer from the perspective of rural household structure. The results indicate that: 1) the quantity of laborers has significant influence on the direction and scale of land transfer. The larger the on-farm labor variable(Labor), the lesser the possibility that land will be rented-out and the amount of land rented out will also be smaller. In addition, there is a greater probability that land will be rented-in and the amount of land rented-in will be greater. 2) The greater the ratio of off-farm laborers to rural household laborers(Off-farm) the greater the possibility that land will be rented-out. In addition the higher the ratio of on-farm laborers to the total household laborers(On-farm), the larger the possibility that land will be rented-in. Meanwhile, if the household has individuals at the age of 64 or older(Old) who are engaged in agriculture, there is a smaller possibility that land will be rentedout. 3) the ratio of part-time laborers to rural household laborers(Pluriactivity) have significant inverse U-shaped influences on the rent-in of land as well as the amount of land rented-in. The inflection points are 33.27% and 14.10%, respectively. Such findings confirm the significance of this study in better understanding the influence of labor migration on rural household land transfer.展开更多
Taking Chongqing as example, the paper ascertains the influencing factors of cultivation land intensive use from aspects of land conditions, family conditions and land operation conditions and theoretically expects th...Taking Chongqing as example, the paper ascertains the influencing factors of cultivation land intensive use from aspects of land conditions, family conditions and land operation conditions and theoretically expects the influencing relations of factors to the intensive uses. Collecting the land conditions, family conditions and land operation conditions through surveys, analyzes each influencing factors in a statistical description way. Constructing the empirical model, calculates the relations of land intensive use to the influencing factors with SPSS. The calculation results show a significant inverse correlation between land intensive use and land area, the space between land and counties, family members, the number of migrant workers, types of cultivation land, land transfer conditions. There is a significant positive correlation between land use and family average income, land investment. Based on these, the paper puts forwards corresponding suggestions and countermeasures of highlighting the land intensive using levels.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.42071226,41671176)Taishan Scholars Youth Expert Support Plan of Shandong Province(No.TSQN202306183)。
文摘Sustainable intensification of cultivated land use(SICLU) and large-scale operations(LSO) are widely acknowledged strategies for enhancing agricultural performance.However,the existing literature has faced challenges in precisely defining SICLU and constructing comprehensive indicators,which has hindered the exploration of factors influencing LSO within the SICLU framework.To address this gap,we integrated self-efficacy theory into the design of an index framework for evaluating SICLU.We subsequently employed econometric models to analyze the significant factors that impact LSO.Our findings reveal that SICLU can be divided into four key dimensions:intensive management,efficient output,resource conservation,and ecological environment optimization.Furthermore,it is crucial to incorporate belief-based cognitive factors into the index system,as farmers’ understanding of fertilizer and pesticide application significantly influences their willingness to engage in LSO.Moreover,we identify grain market turnover as the most influential factor in promoting LSO,with single-factor contribution rates reaching 70.9% for cultivated land transfer willingness and 62.5% for the total planting areas.Interestingly,unlike irrigation and agricultural machinery inputs,increased labor inputs correspond to larger planting areas for farmers.This trend may be attributed to reduced labor availability because of rural labor migration,whereas the reduction in irrigation and agricultural input is contingent on innovations in production practices and the transfer of cultivated land management rights.Importantly,SICLU dynamically influences LSO,with each index related to SICLU having an optimal range that fosters LSO.These insights offer valuable guidance for policymakers,emphasizing farmers as their central focus,with the adjustment of input and output factors as a means to achieve LSO as the ultimate goal.In conclusion,we propose research avenues for further enriching the SICLU framework to ensure that it aligns with the specific characteristics of regional agricultural development.
基金Supported by Key Subject Construction Project of the Third Phase of "211 Project"in Sichuan Agricultural University
文摘Factors influencing householders' transferring out the cultivated land are analyzed from the aspects of farmers' individual characteristics,farmers' family features,resources endowment features and external environmental features.And based on the results of the questionnaire survey of 252 households in Chengdu City,the effect of each factor is analyzed through building the dual preference model of Logistic.The result shows that 65.87% of householders have transferred out their cultivated land and proportion of non-agricultural incomes,stability of land ownership,per capita area of cultivated farmland,comminution of cultivated farmland,transferring price and distance to town have relatively significant effect on farmers' transferring out cultivated land.Non-agricultural industries should be developed with great efforts and reasonable transferring prices of cultivated land fixed.Law on Land Contract in Rural Area is to be practically implemented and the steady peasants' vocational skill training system and rural social security system established.Moreover,investment in rural infrastructure should be strengthened to improve the transportation conditions in rural area and promote the market development of cultivated land transference effectively.
基金Supported by National Natural Science Foundation of China(41171449,41301121)
文摘Cultivated land transfer is one of hotspots in research on agriculture,rural areas and farmers in China. Based on research achievements related to cultivated land transfer and the field survey of Yuanzhou District in the Loess Plateau,the primary patterns of cultivated land transfer in rural areas in the Loess Plateau were summarized according to the management subjects of cultivated land. According to the analyses of family income and expenses of a peasant household,the benefit of various patterns of cultivated land transfer to increase farmers' income was analyzed,and the social and ecological benefits of cultivated land transfer were assessed. The results showed that cultivated land transfer had developed rapidly in the Loess Plateau,and 42. 5% of the investigated peasant households took part in cultivated land transfer. The benefit of cultivated land transfer to increase farmers' income was obvious after cultivated land transfer. There were significant differences between various patterns of cultivated land transfer in the increase of farmers' income. The pattern driven by agricultural cooperatives increased farmers' income most obviously,and the annual family earnings per peasant household reached 12072. 99 yuan / a. The social and ecological benefits of cultivated land transfer conducted by peasant households spontaneously were very remarkable. The pattern led by leading enterprises promoted the large-scale operation of cultivated land greatly,but its benefit to increase farmers' income was limited. The comprehensive benefit of the pattern guided by the government was the most balanced. Geographic environment had decisive influences on the choose of patterns of cultivated land transfer in the Loess Plateau.
文摘Through the method of literature analysis,this paper analyzes the present situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land in China,summarizes the influencing factors and consequences of the phenomenon of"non-grain conversion"of cultivated land in the transfer of agricultural land,and finally puts forward some measures.The study found that costs and benefits are the fundamental factors affecting the"non-grain conversion"of cultivated land in agricultural land transfer,and other main factors include government and policy guidance,industrial and commercial capital to the countryside,labor transfer and so on.The"non-grain conversion"of cultivated land in the transfer of agricultural land is a serious threat to China s food security,leading to the decline of the quality of agricultural land and the destruction of the ecological environment,as well as the risk of breach of contract in"industrial and commercial capital to the countryside".Based on the understanding of the influencing factors of non-grain conversion,this paper puts forward the following measures:strengthening the control of the use of cultivated land in agricultural land transfer;implementing accurate subsidies for grain cultivation and ensuring the benefit of grain growers;adopting grain planting incentive mechanism to increase grain enthusiasm;strengthening media publicity and education to enhance food security awareness.The improvement of the current situation of the"non-grain conversion"of cultivated land in the transfer of agricultural land will be of great significance to the protection of agricultural land and food security in China.
基金Supported by National Natural and Scientific Foundation Project(40761009)Yunnan Province Applied Fundamental Research Project(2007D081M)Assisted by the Project of Yunnan Province Department of Education(06Y045A)~~
文摘Based upon ArCGIS,the vertical spatial transfer law of cultivated land in Yunnan was studied through referring to three periods of remote sensing data of Land-Use and Land-Cover Change(LUCC) in Yunnan in 1986,1995 and 2000,Digital Elevation Model(DEM) of Yunnan Province and LUCC data in Yunnan from 2000 to 2008.The main factors that promote vertical spatial transfer law of cultivated land were analyzed by using SPSS,and the influence of policies and government acts upon the change of cultivated land was clarified.The findings indicated that for Yunnan cultivated land there is a trend that in the vertical direction steep slope areas and gentle slope areas divert into mid-slope areas.The primary factor influencing the vertical spatial transfer of cultivated land was policies and government acts.Also,the gradient of ground,total population and number of agriculture employed persons were also main factors in influencing the change of cultivated land,whose influence was obviously below policies and government acts.
基金Supported by National Natural Science Foundation (70663003)National Social Sciences Foundation (07BZZ014)
文摘Taking Jiangxi Province as an example,on the basis of the sampling survey on 42 counties and cities,64 towns and 74 villages in Jiangxi Province,the will of farmland transfer among different farmer groups with different income levels,different ages,and different educational backgrounds,is analyzed.The research indicates that as for middle-income or high-income groups,leaving home to seek jobs elsewhere is the most principal factor impacting farmland transfer,while as for low-income group,the price of agricultural products is an important factor impacting farmers’ land cultivation;permanent urban residence certificate is no longer the principal factor causing farmers’ land transfer,and it tends to be rational for farmers to abandon farmland.
基金supported by the Fundamental Research Funds for the Central Universities of China(Grant No.2013SCU11006)the Key Laboratory of Digital Mapping and Land Information Application of National Administration of Surveying,Mapping and Geoinformation of China(Grant NO.DM2014SC02)the Key Laboratory of Geospecial Information Technology,Ministry of Land and Resources of China(Grant NO.KLGSIT201504)
文摘The development of precision agriculture demands high accuracy and efficiency of cultivated land information extraction. As a new means of monitoring the ground in recent years, unmanned aerial vehicle (UAV) low-height remote sensing technique, which is flexible, efficient with low cost and with high resolution, is widely applied to investing various resources. Based on this, a novel extraction method for cultivated land information based on Deep Convolutional Neural Network and Transfer Learning (DTCLE) was proposed. First, linear features (roads and ridges etc.) were excluded based on Deep Convolutional Neural Network (DCNN). Next, feature extraction method learned from DCNN was used to cultivated land information extraction by introducing transfer learning mechanism. Last, cultivated land information extraction results were completed by the DTCLE and eCognifion for cultivated land information extraction (ECLE). The location of the Pengzhou County and Guanghan County, Sichuan Province were selected for the experimental purpose. The experimental results showed that the overall precision for the experimental image 1, 2 and 3 (of extracting cultivated land) with the DTCLE method was 91.7%, 88.1% and 88.2% respectively, and the overall precision of ECLE is 9o.7%, 90.5% and 87.0%, respectively. Accuracy of DTCLE was equivalent to that of ECLE, and also outperformed ECLE in terms of integrity and continuity.
基金financial supports from National Natural Science Foundation of China(Grant Nos.4157152741801221+3 种基金4160161441701622)Sichuan Center for Rural Development Research Project(Grant No.01781912)Ministry of education humanities and social science research youth fund project(No.17YJC630136)
文摘The influence of labor migration on rural household land transfer has been hotly debated in academic circles, which focuses on whether part-time employment leads to land transfer. Using survey data on rural households in the Sichuan Province, and applying the theoretical framework of new economics of labor migration, this study explores the influences of labor migration on the direction and scale of land transfer from the perspective of rural household structure. The results indicate that: 1) the quantity of laborers has significant influence on the direction and scale of land transfer. The larger the on-farm labor variable(Labor), the lesser the possibility that land will be rented-out and the amount of land rented out will also be smaller. In addition, there is a greater probability that land will be rented-in and the amount of land rented-in will be greater. 2) The greater the ratio of off-farm laborers to rural household laborers(Off-farm) the greater the possibility that land will be rented-out. In addition the higher the ratio of on-farm laborers to the total household laborers(On-farm), the larger the possibility that land will be rented-in. Meanwhile, if the household has individuals at the age of 64 or older(Old) who are engaged in agriculture, there is a smaller possibility that land will be rentedout. 3) the ratio of part-time laborers to rural household laborers(Pluriactivity) have significant inverse U-shaped influences on the rent-in of land as well as the amount of land rented-in. The inflection points are 33.27% and 14.10%, respectively. Such findings confirm the significance of this study in better understanding the influence of labor migration on rural household land transfer.
基金Supported by Youth Fund of Chongqing Municipal Association of Social Sciences ( 2007-JJ26)
文摘Taking Chongqing as example, the paper ascertains the influencing factors of cultivation land intensive use from aspects of land conditions, family conditions and land operation conditions and theoretically expects the influencing relations of factors to the intensive uses. Collecting the land conditions, family conditions and land operation conditions through surveys, analyzes each influencing factors in a statistical description way. Constructing the empirical model, calculates the relations of land intensive use to the influencing factors with SPSS. The calculation results show a significant inverse correlation between land intensive use and land area, the space between land and counties, family members, the number of migrant workers, types of cultivation land, land transfer conditions. There is a significant positive correlation between land use and family average income, land investment. Based on these, the paper puts forwards corresponding suggestions and countermeasures of highlighting the land intensive using levels.