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Rice farmersâ demands for productive services: evidence from Chinese farmers
in International Food and Agribusiness Management ReviewSearch for other papers by Qi Li in
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Search for other papers by Kai Li in
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Based on the data of 601 rice farmers in Zhejiang and Jiangsu provinces in China, we analyzed the type and intensity of farmersâ demands for productive services and the factors influencing agricultural green transformation in this developing country. The results show that rice farmers most urgently demand services including plant protection information, seedling supply, and unified prevention and treatment, with lower demand for services providing information about materials and soil. Given the consistency of productive services at the village level, we used a hierarchical linear model to analyze factors influencing farmer demand. The results show that for farmers with low levels of technology adoption, their demands for the services are significantly impacted by economic development level, production areas, rice planting labor, and technical knowledge, whereas for farmers with high levels of technology adoption, village service levels and production areas significantly affect their service demands.
-
Affholder F., D. Jourdain, D.D. Quang, T.P. Tuong, M. Morize and A. Ricome. 2010. Constraints to farmersâ adoption of direct-seeding mulch-based cropping systems: A farm scale modeling approach applied to the mountainous slopes of Vietnam. Agricultural Systems 103: 51-62.
'Constraints to farmersâ adoption of direct-seeding mulch-based cropping systems: A farm scale modeling approach applied to the mountainous slopes of Vietnam ' () 103 Agricultural Systems : 51 -62.
-
Anne, J. and L. Olsson. 2014. Food first! Theorising assets and actors in agroforestry: risk evaders, opportunity seekers and âthe food imperativeâ in sub-Saharan Africa. International Journal of Agricultural Sustainability 12(1): 1-22.
'Theorising assets and actors in agroforestry: risk evaders, opportunity seekers and âthe food imperativeâ in sub-Saharan Africa ' () 12 International Journal of Agricultural Sustainability : 1 -22.
-
Atreya, K., F.H. Johnsen and B.K. Sitaula. 2012. Health and environmental costs of pesticide use in vegetable farming in Nepal. Environment Development and Sustainability 14: 477-499.
'Health and environmental costs of pesticide use in vegetable farming in Nepal ' () 14 Environment Development and Sustainability : 477 -499.
-
Berger, C. 1993. Kanoâs methods for understanding customer â defined quality. Center for Quality Management Journal 4: 3-36.
'Kanoâs methods for understanding customer â defined quality ' () 4 Center for Quality Management Journal : 3 -36.
-
Cai, S.K. 2013. Empirical study of economic structure, landâs feature and green pest control technique adoption: based on the Anhui Province 740 rice farmerâs research. Journal of China Agricultural University 4: 208-215.
'Empirical study of economic structure, landâs feature and green pest control technique adoption: based on the Anhui Province 740 rice farmerâs research ' () 4 Journal of China Agricultural University : 208 -215.
-
Chen, C.C. and M.C. Chuang. 2008. Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design. Production Economics 114: 667-681.
'Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design ' () 114 Production Economics : 667 -681.
-
Chen, H., H. Zhou and X.Y. Lv. 2018. Analysis of farmersâ adoption of regional pest control program â based on empirical analysis of Jiangsu. Journal of Northwest A&F University 5(18): 104-111.
'Analysis of farmersâ adoption of regional pest control program â based on empirical analysis of Jiangsu ' () 5 Journal of Northwest A&F University : 104 -111.
-
Ciarleglio, M.M. and R.W. Makuch. 2007. Hierarchical linear modeling: an overview. Child Abuse & Neglect 2(31): 91-98.
'Hierarchical linear modeling: an overview ' () 2 Child Abuse & Neglect : 91 -98.
-
Cohen, J. 1988. Statistical power analysis for the behavioral sciences. Academic Press, New York, NY, USA.
Statistical power analysis for the behavioral sciences , ().
-
Emmanuel, D., E. Owusu-Sekyere and V. Owusu. 2016. Impact of agricultural extension service on adoption of chemical fertilizer: implications for rice productivity and development in Ghana. NJAS â Wageningen Journal of Life Sciences 79: 41-49.
'Impact of agricultural extension service on adoption of chemical fertilizer: implications for rice productivity and development in Ghana ' () 79 NJAS â Wageningen Journal of Life Sciences : 41 -49.
-
Gao, Y., X. Zhang, L. Wu, S.J. Yin and J. Lu. 2017. Resource basis, ecosystem and growth of grain family farm in China: based on rough set theory and hierarchical linear model. Agricultural Systems 154: 137-167.
'Resource basis, ecosystem and growth of grain family farm in China: based on rough set theory and hierarchical linear model ' () 154 Agricultural Systems : 137 -167.
-
Gelman, A. 2006. Multilevel (hierarchical) modeling: what it can and cannot do. Technometrics 3(48): 432-435.
'Multilevel (hierarchical) modeling: what it can and cannot do ' () 3 Technometrics : 432 -435.
-
Ghiasi, R., M.S. Allahyari, C.A. Damalas, J. Azizi and M. Abedi. 2017. Crop protection services by plant clinics in Iran: an evaluation through rice farmersâ satisfaction. Crop Protection 98: 191-197.
'Crop protection services by plant clinics in Iran: an evaluation through rice farmersâ satisfaction ' () 98 Crop Protection : 191 -197.
-
Hofmann, D.A. 1997. An overview of the logic and rational of hierarchical linear models. Journal of Management 6: 723-744.
'An overview of the logic and rational of hierarchical linear models ' () 6 Journal of Management : 723 -744.
-
Kabir, M.H. and R. Rainis. 2015. Adoption and intensity of integrated pest management (IPM) vegetable farming in Bangladesh: an approach to sustainable agricultural development. Environment, Development and Sustainability 17(6): 1413-1429.
'Adoption and intensity of integrated pest management (IPM) vegetable farming in Bangladesh: an approach to sustainable agricultural development ' () 17 Environment, Development and Sustainability : 1413 -1429.
-
Kallas, Z., K.T. Serra and J.M. Gil. 2010. Farmersâ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production. Agricultural Economics 5(41): 409-423.
'Farmersâ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production ' () 5 Agricultural Economics : 409 -423.
-
Kano, N., N. Seraku, F. Takahashi and S. Tsuji. 1984. Attractive quality and must-be quality. The Journal of Japanese Society for Quality Control 2: 39-48.
'Attractive quality and must-be quality ' () 2 The Journal of Japanese Society for Quality Control : 39 -48.
-
Kibwika, P., A.E.J. Wals and M.G. Nassuna-Musoke. 2009. Competence challenges of demand-led agricultural research and extension in Uganda. Journal of Agricultural Education & Extension 15(1): 5-19.
'Competence challenges of demand-led agricultural research and extension in Uganda ' () 15 Journal of Agricultural Education & Extension : 5 -19.
-
Kim, J.Y. and J.H. Kim. 2006. Analysis of neighborhood effect on land price using hierarchical linear model. Korea Planners Association 5(41): 3-3.
'Analysis of neighborhood effect on land price using hierarchical linear model ' () 5 Korea Planners Association : 3 -3.
-
Kong, X.Z. and Z.Y. Zhen. 2010. Research on supply and demand of agricultural socialization service â analysis of farmersâ data based on supply subject and demand intensity. Guangxi Social Sciences 3: 120-125.
'Research on supply and demand of agricultural socialization service â analysis of farmersâ data based on supply subject and demand intensity ' () 3 Guangxi Social Sciences : 120 -125.
-
Li, L.F., L.Z. Ying and X.M. Zhan. 2018. Study on the driving force of agricultural division of labor and socialization of production: analysis of outsourcing behavior of rice seedling of farmers. Rural Economy 2: 86-91.
'Study on the driving force of agricultural division of labor and socialization of production: analysis of outsourcing behavior of rice seedling of farmers ' () 2 Rural Economy : 86 -91.
-
Li, Q. and B. Zhang. 2011. Analysis of influence factors of agricultural socialization service demand â based on sampling survey of 214 households of 74 villages in Shaanxi province. Rural Economy 6: 83-87.
'Analysis of influence factors of agricultural socialization service demand â based on sampling survey of 214 households of 74 villages in Shaanxi province ' () 6 Rural Economy : 83 -87.
-
Li, Q., W.J. Yang and K. Li. 2018. Role of social learning in the diffusion of environmentally-friendly agricultural technology in China. Sustainability 10: 1527.
'Role of social learning in the diffusion of environmentally-friendly agricultural technology in China ' () 10 Sustainability : 1527 .
-
Li, R.Y. 2015. Agricultural social service demand priority from farmers â based on micro survey data analysis of 15 provinces of China. Journal of Northwest A&F University 1: 86-94.
'Agricultural social service demand priority from farmers â based on micro survey data analysis of 15 provinces of China ' () 1 Journal of Northwest A&F University : 86 -94.
-
Li, X.G. and C.Y. Jiang. 2015. Farmersâ availability for agricultural productive services and influencing factors based on 1121 peasant families. Agricultural Economics and Management 4: 21-29.
'Farmersâ availability for agricultural productive services and influencing factors based on 1121 peasant families ' () 4 Agricultural Economics and Management : 21 -29.
-
Liu, E.M. 2013. Time to change what to sow: risk preferences and technology adoption decisions of cotton farmers in China. The Review of Economics and Statistics 95(4): 1386.
'Time to change what to sow: risk preferences and technology adoption decisions of cotton farmers in China ' () 95 The Review of Economics and Statistics : 1386 .
-
Liu, H.J, Z.D. Jiang and J.J. Wang. 2014. Affecting factors of agriculture follow-up industry in plateau district: the hierarchical linear analysis based on the household survey data of Ansai county. Economic Geography 2(34): 125-130.
'Affecting factors of agriculture follow-up industry in plateau district: the hierarchical linear analysis based on the household survey data of Ansai county ' () 2 Economic Geography : 125 -130.
-
Liu, L. 2015. On the supply priority of rural public services and the demand classification with the KANO model. Finance and Trade Research 6: 39-46.
'On the supply priority of rural public services and the demand classification with the KANO model ' () 6 Finance and Trade Research : 39 -46.
-
Luo, X.F., X.X. Xiang and R.R. Li. 2016. What is the most urgent need of agricultural socialized service for large farmers. Journal of Agrotechnical Economics 5: 4-12.
'What is the most urgent need of agricultural socialized service for large farmers ' () 5 Journal of Agrotechnical Economics : 4 -12.
-
Luor, T., H.P. Lu, K.M. Chien and T.C. Wu. 2015. Contribution to quality research: a literature review of Kanoâs model from 1998 to 2012. Total Quality Management & Business Excellence 3-4: 234-247.
'Contribution to quality research: a literature review of Kanoâs model from 1998 to 2012 ' () 3-4 Total Quality Management & Business Excellence : 234 -247.
-
Mariwah, S. and J.-O. Drangert. 2011. Community perceptions of human excreta as fertilizer in peri-urban agriculture in Ghana. Waste Management & Research 29(8): 815-822.
'Community perceptions of human excreta as fertilizer in peri-urban agriculture in Ghana ' () 29 Waste Management & Research : 815 -822.
-
MikuliÄ, J. and D. Prebežac. 2011. A critical review of techniques for classifying quality attributes in the Kano model. Managing Service Quality 21(1): 46-66.
'A critical review of techniques for classifying quality attributes in the Kano model ' () 21 Managing Service Quality : 46 -66.
-
Mills, J., P. Gaskell, J. Ingram, J. Dwyer, M. Reed and C. Short. 2017. Engaging farmers in environmental management through a better understanding of behaviour. Agriculture and Human Values 34(2): 283-299.
'Engaging farmers in environmental management through a better understanding of behaviour ' () 34 Agriculture and Human Values : 283 -299.
-
Mugonola, B., J. Deckers, J. Poesen, M. Isabirye and E. Mathijs. 2013. Adoption of soil and water conservation technologies in the Rwizi catchment of south western Uganda. International Journal of Agricultural Sustainability 11(3): 264-281.
'Adoption of soil and water conservation technologies in the Rwizi catchment of south western Uganda ' () 11 International Journal of Agricultural Sustainability : 264 -281.
-
Pan, Q.C., L.X. Zhang, C. Zhang and H.Q. Li. 2016. Evaluation of functional service requirements of academic journals website based on the kano model. Chinese Journal of Scientific and Technical Periodicals 6: 617-623.
'Evaluation of functional service requirements of academic journals website based on the kano model ' () 6 Chinese Journal of Scientific and Technical Periodicals : 617 -623.
-
Pang, X.P. 2006. Comparison and analysis of the structure differences of supply and demand of agricultural socialized services: based on the investigation and consideration of the present situation of supply and demand of agricultural socialized services. Journal of Agrotechnical Economics 4: 35-40.
'Comparison and analysis of the structure differences of supply and demand of agricultural socialized services: based on the investigation and consideration of the present situation of supply and demand of agricultural socialized services ' () 4 Journal of Agrotechnical Economics : 35 -40.
-
Rachael, K.E. 2012. Meta-analysis of the relationship between coworker social support and burnout using a two-level hierarchical linear model. Western Journal of Nursing Research 8(34): 1062-1063.
'Meta-analysis of the relationship between coworker social support and burnout using a two-level hierarchical linear model ' () 8 Western Journal of Nursing Research : 1062 -1063.
-
Raju, G., W.C. Huang and S.R. Bahadur. 2015. Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal. Rice Science 22(1): 35-43.
'Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal ' () 22 Rice Science : 35 -43.
-
Rasmussem, J.J., P. Wiberg-Larsen, A. Baattrup-Pedersen, N. Cedergreen, U.S. McKnight, J. Kreuger, D. Jacobsen, E.A. Kristensen and N. Friberg. 2015. The legacy of pesticide pollution: an overlooked factor in current risk assessments of freshwater systems. Water Research 84: 25-32.
'The legacy of pesticide pollution: an overlooked factor in current risk assessments of freshwater systems ' () 84 Water Research : 25 -32.
-
Reimer, A.R., W.A. Thompson and L.S. Prokopy. 2012. The multi-dimensional nature of environmental attitudes among farmers in Indiana: implications for conservation adoption. Agriculture and Human Values 29: 29-40.
'The multi-dimensional nature of environmental attitudes among farmers in Indiana: implications for conservation adoption ' () 29 Agriculture and Human Values : 29 -40.
-
Rocconi, L.M. 2013. Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression. Higher Education 4(66): 439-461.
'Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression ' () 4 Higher Education : 439 -461.
-
Soukup, P. 2006. Why use hierarchical linear models. Sociologicky Casopis Czech Sociological Review 5(42): 987-1012.
'Why use hierarchical linear models ' () 5 Sociologicky Casopis Czech Sociological Review : 987 -1012.
-
Sun, J. and Z.H. Huang. 2009. An empirical study on farmersâ agricultural service channel choice behavior and influencing factors. Journal of Agrotechnical Economics 1: 37-74.
'An empirical study on farmersâ agricultural service channel choice behavior and influencing factors ' () 1 Journal of Agrotechnical Economics : 37 -74.
-
Tan, C.F., L. Zhang and W.H. Tian. 2017. Factors affecting the willingness to adopt farmland recycling production technology â based on a survey in Hexi Corridor. Journal of Arid Land Resources and Environment 8: 33-37.
'Factors affecting the willingness to adopt farmland recycling production technology â based on a survey in Hexi Corridor ' () 8 Journal of Arid Land Resources and Environment : 33 -37.
-
Teo, T. 2011. Basic concepts of hierarchical linear modelling (HLM) for educational technology research. British Journal of Educational Technology 3(42): E51-E53.
'Basic concepts of hierarchical linear modelling (HLM) for educational technology research ' () 3 British Journal of Educational Technology : E51 -E53.
-
Teshome, A., J. de Graaff and M. Kassie. 2016. Household-level determinants of soil and water conservation adoption phases: evidence from North-Western Ethiopian Highlands. Environmental Management 57(3): 620-636.
'Household-level determinants of soil and water conservation adoption phases: evidence from North-Western Ethiopian Highlands ' () 57 Environmental Management : 620 -636.
-
Tontini, G. 2007. Integrating the Kano model and QFD for designing new products. Total Quality Management & Business Excellence 6: 599-612.
'Integrating the Kano model and QFD for designing new products ' () 6 Total Quality Management & Business Excellence : 599 -612.
-
Walters, R.W. and L. Hoffman. 2017. Applying the hierarchical linear model to longitudinal data. Higher Education 3(29): 666-701.
'Applying the hierarchical linear model to longitudinal data ' () 3 Higher Education : 666 -701.
-
Wang, Y., R.Y. Ying Y.G. and Zhang. 2007. A study on the priority of farmersâ demand for agricultural technology services in Jiangsu Province. Forum on Science and Technology in China 11: 123-126.
'A study on the priority of farmersâ demand for agricultural technology services in Jiangsu Province ' () 11 Forum on Science and Technology in China : 123 -126.
-
Wang, Z., H. Liu and Z.L. Cao. 2015. Analysis of the demand for agricultural socialization services: based on a sample survey of 191 farmers in Chongqing. Journal of Agrotechnical Economics 9: 17-26.
'Analysis of the demand for agricultural socialization services: based on a sample survey of 191 farmers in Chongqing ' () 9 Journal of Agrotechnical Economics : 17 -26.
-
Xia, B. and N.H. Jiang. 2016. Research on the supply side reform of agricultural socialized service for large grain farmers â based on the survey of 264 sample farmers in Yangzhou. Finance and Accounting Monthly 35: 66-70.
'Research on the supply side reform of agricultural socialized service for large grain farmers â based on the survey of 264 sample farmers in Yangzhou ' () 35 Finance and Accounting Monthly : 66 -70.
-
Xiong, Y. 2010. An empirical analysis of farmersâ demand for agricultural socialization services â based on a survey of 176 sample farmers in Chengdu. Rural Economy 3: 93-96.
'An empirical analysis of farmersâ demand for agricultural socialization services â based on a survey of 176 sample farmers in Chengdu ' () 3 Rural Economy : 93 -96.
-
Xu, B. and R.Y. Ying. 2015. An empirical study on farmersâ satisfaction with agricultural social service based on principal-agent theory â a case of regional pest control program in China. China Soft Science 5: 38-76.
'An empirical study on farmersâ satisfaction with agricultural social service based on principal-agent theory â a case of regional pest control program in China ' () 5 China Soft Science : 38 -76.
-
Xu, Q.L., R.J. Jiao, X. Yang and M. Helander. 2009. An analytical Kano model for customer need analysis. Design Studies 30: 87-110.
'An analytical Kano model for customer need analysis ' () 30 Design Studies : 87 -110.
-
Yang, W.J. Research on economic development of rice industry (2017). Zhejiang University Press, Hangzhou, China.
Research on economic development of rice industry , ().
-
Yang, X., S. Fang, C.L. Lant and X. Luo. 2012. Overfertilization in the economically developed and ecologically critical Lake Tai region, China. Human Ecology 40(6): 957-964.
'Overfertilization in the economically developed and ecologically critical Lake Tai region, China ' () 40 Human Ecology : 957 -964.
-
Ye, H. 2015. Influential factors of farmersâ demands for agricultural science and technology in China. Technological Forecasting and Social Change 100: 249-254.
'Influential factors of farmersâ demands for agricultural science and technology in China ' () 100 Technological Forecasting and Social Change : 249 -254.
-
Yin, S.J., R. Li, L.H. Wu and X.J. Chen. 2018. Introduction to 2018 China development report on food safety. Peking University Press, Beijing, China.
'Introduction to 2018 China development report on food safety', ().
-
Yueh, H.P., T.L. Chen and L.A. Chiu. 2013. Exploring factors affecting learnerâs perception of learning information and communication technology: a HLM analysis of a national farmersâ training program in Taiwan. Educational Technology & Society 2(16): 231-242.
'Exploring factors affecting learnerâs perception of learning information and communication technology: a HLM analysis of a national farmersâ training program in Taiwan ' () 2 Educational Technology & Society : 231 -242.
-
Zhang, L., Q. Guo, J.B. Zhan and Q.M. Tong. 2017. Farmerâs demand for productive public services in response to climate disasters and its determinants: evidence from one thousand households of one hundred villages in ten counties of Hubei Province. China Rural Survey 3: 102-116.
'Farmerâs demand for productive public services in response to climate disasters and its determinants: evidence from one thousand households of one hundred villages in ten counties of Hubei Province ' () 3 China Rural Survey : 102 -116.
-
Zhang, M.M. and Y.J. Li. 2014. The reason of farmersâ passive trust to agricultural materials retailers: a case study from the perspective of social network embeddedness. China Rural Survey 5: 25-37.
'The reason of farmersâ passive trust to agricultural materials retailers: a case study from the perspective of social network embeddedness ' () 5 China Rural Survey : 25 -37.
-
Zhang, X.M. and C.Y. Jiang. 2015. Supply evaluation and demand willingness of different types of farmers for agricultural productive services. Research on Economics and Management 8: 70-76.
'Supply evaluation and demand willingness of different types of farmers for agricultural productive services ' () 8 Research on Economics and Management : 70 -76.
-
Zhang, Y.G. and R.Y. Ying. 2007. An analysis of the priority and influencing factor s of farmer sâ demand for technological services â an empirical study on planting farmer s of Jiangsu Province. Jiangsu Social Science 3: 65-71.
'An analysis of the priority and influencing factor s of farmer sâ demand for technological services â an empirical study on planting farmer s of Jiangsu Province ' () 3 Jiangsu Social Science : 65 -71.
-
Zhao, M. and D.R. Roy. 2009. A multi-attribute model of web site interactivity and customer satisfaction: an application of the Kano model. Managing Service Quality 3: 286-307.
'A multi-attribute model of web site interactivity and customer satisfaction: an application of the Kano model ' () 3 Managing Service Quality : 286 -307.
-
Zhou, J.H., H.Y. Yang and Z.C. He. 2012. The limitation of rural householdsâ adoption of the resource-efficient and environment-friendly technologies and the practice breakthrough. China Rural Survey 2: 37-43.
'The limitation of rural householdsâ adoption of the resource-efficient and environment-friendly technologies and the practice breakthrough ' () 2 China Rural Survey : 37 -43.
-
Zhu, H.J. and Z.H. Tian. 2012. Analysis on dilemma of low carbon agriculture technology in rice production. China Agricultural University Journal of Social Sciences Edition 4: 153-160.
'Analysis on dilemma of low carbon agriculture technology in rice production ' () 4 China Agricultural University Journal of Social Sciences Edition : 153 -160.
-
Zhu, M., Z.H. Hong, L.N. Luo, S.Y. Tang, Y.L. Wu and X.R. Li. 2015 Analysis on factors influencing rice farmersâ adoption of agricultural techniques based on Probit ISM model â a case study of 320 rice farmers in Hubei Province. Journal of Applied Statistics and Management 1: 11-23.
'Analysis on factors influencing rice farmersâ adoption of agricultural techniques based on Probit ISM model â a case study of 320 rice farmers in Hubei Province ' () 1 Journal of Applied Statistics and Management : 11 -23.
-
Zhuang, L.J., M.Y. He and J. Zhang. 2011. Analysis on the willingness and influencing factors of agricultural productive service demand â taking the investigation of 450 litchi producers in Guangdong Province as an example. Chinese Rural Economy 3: 70-78.
'Analysis on the willingness and influencing factors of agricultural productive service demand â taking the investigation of 450 litchi producers in Guangdong Province as an example ' () 3 Chinese Rural Economy : 70 -78.
| Insgesamt | Letzte 365 Tage | In den letzten 30 Tagen | |
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Rice farmersâ demands for productive services: evidence from Chinese farmers
in International Food and Agribusiness Management ReviewSearch for other papers by Qi Li in
Current site
Google Scholar
PubMed
Search for other papers by Kai Li in
Current site
Google Scholar
PubMed
Based on the data of 601 rice farmers in Zhejiang and Jiangsu provinces in China, we analyzed the type and intensity of farmersâ demands for productive services and the factors influencing agricultural green transformation in this developing country. The results show that rice farmers most urgently demand services including plant protection information, seedling supply, and unified prevention and treatment, with lower demand for services providing information about materials and soil. Given the consistency of productive services at the village level, we used a hierarchical linear model to analyze factors influencing farmer demand. The results show that for farmers with low levels of technology adoption, their demands for the services are significantly impacted by economic development level, production areas, rice planting labor, and technical knowledge, whereas for farmers with high levels of technology adoption, village service levels and production areas significantly affect their service demands.
| Insgesamt | Letzte 365 Tage | In den letzten 30 Tagen | |
|---|---|---|---|
| Aufrufe von Kurzbeschreibungen | 0 | 0 | 0 |
| Gesamttextansichten | 371 | 163 | 15 |
| PDF-Downloads | 150 | 87 | 10 |
