Relevant bibliographies by topics / Agricultural innovations China

Academic literature on the topic 'Agricultural innovations China'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Agricultural innovations China"

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Huang, Zuhui, and Qiao Liang. "Agricultural organizations and the role of farmer cooperatives in China since 1978: past and future." China Agricultural Economic Review 10, no. 1 (February 5, 2018): 48–64. http://dx.doi.org/10.1108/caer-10-2017-0189.

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Purpose During the past four decades, agriculture and rural development in China has scored a great progress. Organization institution in agriculture is one of the domains with drastic innovations. The purpose of this paper is to map the emergence and evolution of various agricultural organizations in China since 1978. Development status and the trend of agricultural organization system are analyzed. Further, the role of farmer cooperatives is discussed. Design/methodology/approach Data used in the paper are mainly from statistical yearbooks and documents published by the government including Ministry of Agriculture and Bureau of Industry and Commercial. Both descriptive and deductive analyses are adopted to achieve different analytical purposes. Findings The vast small-farm sector, co-existence of various types of organizations, and innovation of other organizations will continue and sustain for a long-time period in China. Despite the fast development of modern farmers and various organizations, it is important that traditional farmers participate effectively in modern agriculture. Farmers act collectively via a cooperative in a desirable way, which determines the central position of farmer cooperatives in the agricultural organization system. Research limitations/implications This paper is a qualitative analysis on agricultural organizations in China, yet no quantitative estimation regarding the comparison of various organizations is conducted due to insufficient data. Originality/value This paper fills the gap of a comprehensive review of the emergence, development status, and trend of agricultural organizations in China.
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Cai, Jinyang, Ruifa Hu, Jikun Huang, and Xiaobing Wang. "Innovations in genetically modified agricultural technologies in China’s public sector." China Agricultural Economic Review 9, no. 2 (May 2, 2017): 317–30. http://dx.doi.org/10.1108/caer-10-2016-0170.

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Purpose The purpose of this paper is to assess whether China’s public sector can continue to generate advanced genetically modified (GM) technologies that will be competitive in the market. Design/methodology/approach The authors investigated all the research teams that have been conducting research projects under the variety development special program. The data collected include detail information on research capacity, research areas, performance, and process of their research projects. Based on the survey data, the authors assessed the innovations and progress of the variety development special program. Findings Unlike other countries, most GM products in China are developed by public research institutes. There is rising concern on the ability of China’s public sector to continuously generate indigenous GM technology that can compete with multinational companies. The study surveyed 197 research institutes and 487 research teams and found that the GM program in China lacks coordination: researchers do not want to share their research materials with others. Due to the lack of coordination, most of the hundreds of research teams often worked independently in the year 2008-2010. Moreover, the authors found the lack of coordination may be due to the reason that the interests of researchers are not well protected. This paper also provided the recent progress and policy changes of GM program in China, and it found that the efficiency in the later three years improved a lot. In order to establish a competitive national public GM research system, China should continuously consolidate and integrate the upstream, midstream, and downstream activities of the whole GM innovation process. China’s public sector may also need to work more closely with both the domestic and international private sectors. Originality/value This paper is a comprehensive analysis on the development of transgenic technology in China. The results of this paper can provide evidence for the dynamic adjustment of the policies in the variety development special program and can also provide reference for the future assessment of the variety development special program.
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Cheng, Long, Shiyuan Zhang, Xuming Lou, Jie Huang, Fangping Rao, and Rui Bai. "How Does Tie Strength Dispersion within Inter-Organizational Networks Affect Agricultural Technological Innovation? Evidence from China." Land 10, no. 7 (July 7, 2021): 717. http://dx.doi.org/10.3390/land10070717.

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Agricultural technology is key to ensuring food security. Innovation in agricultural technology plays a vital role in increasing national food production. Collaborative innovation has become an essential form of technological innovation in the new era. Although there has been a large body of literature exploring the influencing factors on technological innovation, how tie strength dispersion within inter-organizational networks affects agricultural technological innovation has not been systematically studied. In this research, we use a cooperative network to investigate how relational divisive faultlines caused by the uneven distribution of the strength of inter-organizational relationships affects agricultural technological innovation through the subgroup structure, and the moderating role of position embeddedness. This article uses the Derwent Innovations Index to select agricultural technology joint patent applications from 2000 to 2018 to build a cooperation network, and uses multiple linear regression to conduct an empirical analysis. The empirical results show that the relational divisive faultlines have a positive effect on the subgroup structure. There is an inverted U-shaped relationship between the subgroup structure and agricultural technological innovation. The initial stage of subgroup formation can transmit the information between the subgroups in time and promote the efficiency of agricultural technological innovation. However, as the degree of subgroup cohesion increases, the phenomenon of “in-group” and “out-of-group” will be formed, which will inhibit information exchange, having a negative impact on agricultural technological innovation. In addition, positional embeddedness has a significant positive moderating effect between relational divisive faultlines and agricultural technological innovation. This research provides a theoretical basis for understanding how the overall network relationship strength distribution affects technological innovation by exploring the micro-process of the structural changes of the cooperation network. Moreover, it has specific guiding significance for the organization to participation in a cooperation network to improve the efficiency of agricultural technological innovation.
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Khan, Tamoor, Hafiz Husnain Raza Sherazi, Mubashir Ali, Sukumar Letchmunan, and Umair Muneer Butt. "Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture." Agronomy 11, no. 8 (August 3, 2021): 1551. http://dx.doi.org/10.3390/agronomy11081551.

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Agricultural advancements have significantly impacted people’s lives and their surroundings in recent years. The insufficient knowledge of the whole agricultural production system and conventional ways of irrigation have limited agricultural yields in the past. The remote sensing innovations recently implemented in agriculture have dramatically revolutionized production efficiency by offering unparalleled opportunities for convenient, versatile, and quick collection of land images to collect critical details on the crop’s conditions. These innovations have enabled automated data collection, simulation, and interpretation based on crop analytics facilitated by deep learning techniques. This paper aims to reveal the transformative patterns of old Chinese agrarian development and fruit production by focusing on the major crop production (from 1980 to 2050) taking into account various forms of data from fruit production (e.g., apples, bananas, citrus fruits, pears, and grapes). In this study, we used production data for different fruits grown in China to predict the future production of these fruits. The study employs deep neural networks to project future fruit production based on the statistics issued by China’s National Bureau of Statistics on the total fruit growth output for this period. The proposed method exhibits encouraging results with an accuracy of 95.56% calculating by accuracy formula based on fruit production variation. Authors further provide recommendations on the AGR-DL (agricultural deep learning) method being helpful for developing countries. The results suggest that the agricultural development in China is acceptable but demands more improvement and government needs to prioritize expanding the fruit production by establishing new strategies for cultivators to boost their performance.
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Jin, Yanhong, Yahong Hu, Carl Pray, and Ruifa Hu. "Impact of government science and technology policies with a focus on biotechnology research on commercial agricultural innovation in China." China Agricultural Economic Review 9, no. 3 (September 4, 2017): 438–52. http://dx.doi.org/10.1108/caer-05-2017-0096.

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Purpose The Chinese Government has used a number of policies to encourage commercial agribusiness firms to do more innovation. These include public sector agricultural research and development (R&D), public sector biotechnology research and innovation, subsidies for commercial research, encouraging foreign firms to invest in China as minority shareholders in joint ventures, and allowing commercial companies to raise money on the stock market. The purpose of this paper is to assess whether these policies were effective in stimulating innovations by commercial firms in China. Design/methodology/approach This study estimates the impact of public biotech research and other policies by employing an econometric model of patenting by commercial firms. It uses a unique data set collected from commercial agribusiness firms for the years 2001, 2004, 2005, and 2006. Addition data were collected from public research institutes and universities and patent data from the Derwent Innovations Index database. It employs four count data models for the empirical analysis. Findings This study finds a positive impact of public biotechnology (measured by the number of biotech patents of government research institutes and public universities) on commercial innovation measured by the number of patents granted to the commercial firms. As expected the firm’s research expenditure and having their own R&D center (as opposed to contracting R&D or no R&D investment at all) have a positive and statistically significant effect on the number of patents granted. The impacts of public R&D investment spending have no statistically significant effect on commercial innovation. Multi-national firms and publicly traded firms have fewer patents than their counterparts suggesting that policies to encourage multi-nationals and financing through stock markets had no impact on innovation. Originality/value This study is one of the first studies to untangle the relationship between government policies and innovation by commercial agricultural research output and public R&D investment and biotechnology. The main findings suggest that simply increasing research money to public research does not increase commercial innovations, but moving resources to the development patentable biotech does improve commercial research productivity. The results also suggest that policies to increase commercial research will also increase innovation. These could include strengthening the legal framework and institutional resources for public institutes to the protection and enforcement of intellectual properties.
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Chen, Kevin Z., Pramod K. Joshi, Enjiang Cheng, and Pratap S. Birthal. "Innovations in financing of agri-food value chains in China and India." China Agricultural Economic Review 7, no. 4 (November 2, 2015): 616–40. http://dx.doi.org/10.1108/caer-02-2015-0016.

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Purpose – The purpose of this paper is to synthesize lessons from the agricultural value chain models and their associated financing mechanisms in China and India as to provide policy recommendations on how best to facilitate development of efficient and inclusive value chains. Design/methodology/approach – The paper builds on a review of the existing literature on agricultural value chains and their financing mechanisms, and draws lessons from it for strengthening interface between product and financial markets in order to enable smallholders capture benefits of the value addition. Findings – From the comparative review of value chain financing mechanisms and current policy contexts the authors find dominance of internal financing of value chains (in terms of provision of inputs, technology and services) in both the countries. Value chain finance from commercial banks and other financial institutions is limited and mainly through tripartite agreements among the financing institutions, lead firms and farmers. Practical implications – The lessons drawn from various value chain models and their financing mechanisms provide feedback to financial institutions and policymakers to take measures to strengthen value chain finance in smallholder agriculture. Originality/value – The paper undertakes a rigorous review of the existing value chain models and their financing mechanisms in light of the most recent research on emerging innovations and development strategies, in order to glean key lessons for policy recommendations on strengthening linkages between financial and product markets.
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Wu, Fang, and Junhai Ma. "Evolution Dynamics of Agricultural Internet of Things Technology Promotion and Adoption in China." Discrete Dynamics in Nature and Society 2020 (August 6, 2020): 1–18. http://dx.doi.org/10.1155/2020/1854193.

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Internet of Things is the core technology of smart agriculture and can reform and upgrade traditional agriculture for reducing cost, reducing pollution, and increasing productivity and quality in China. From government-led and market economy perspectives, promotion mechanisms and sustainable adoption of agricultural Internet of Things technology are analyzed. In the initial application phase, the promotion of Internet of Things requires government support. For investigating the relationship between the government and farmers, this study builds an evolutionary game model and finds that increases of cost subsidy, farmers’ negative feedback, government’s positive feedback, and chemical agriculture cost can make the model evolve toward the strategy set: farmer adoption and government support. For long-term development, a sustainable model in competitive market is built by competition game and exponential replication equation. This paper analyzes the equilibrium of adoption ratio, long-run profit, and the conversion between equilibrium points under capacity sharing strategy in competitive market. It is also found that the market will eventually evolve to the technology selection strategy whose long-run average profit dominates the market. The innovations are that evolutionary game is used for analyzing the initial stage and competitive game and asynchronous update mechanism are used for analyzing the sustainable development adoption. At last, references are provided for agricultural Internet of Things development policy from the perspectives of initial promotion and long-run sustainability.
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Chen, Kexin, and Zhenyu Wang. "A Study on the Effects and Influencing Factors of Agricultural Support and Subsidy Policies from Big Data Computing and Analysis." Mobile Information Systems 2022 (August 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/7873981.

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Agriculture is the backbone of any country in any given situation. Without agriculture, it will be very difficult for any living being to survive. To increase productivity in agriculture, the farmers are dependent on government policies and subsidiaries provided to them. The policies and subsidiaries should support and encourage farmers to work hard and do some innovations in agriculture. In this research work, an agriculture dataset concerning the policies and subsidiaries of China is considered. The research proposed a subsidy distribution algorithm for evaluating the policies. The proposed model provided an accuracy of 98% in determining the research objectives. The study results revealed that procedural support for government subsidy policies and agricultural support is low. It is recommended to increase domestic policy to support agriculture.
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Jiao, Xiao-qiang, Gang He, Zhen-ling Cui, Jian-bo Shen, and Fu-suo Zhang. "Agri-environment policy for grain production in China: toward sustainable intensification." China Agricultural Economic Review 10, no. 1 (February 5, 2018): 78–92. http://dx.doi.org/10.1108/caer-10-2017-0201.

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Purpose The purpose of this paper is to analyze the historical pattern of environmental cost due to grain production in China and to provide further implications of technologies and policies for the transformation of China’s agricultural development toward sustainable intensification. Design/methodology/approach The data sets about grain production, arable land and chemical fertilizer use in China were collected from FAO, NBSC, and IFA. Greenhouse gas emissions were estimated using life cycle assessments. The policies concerning grain production and the environment were collected from the Ministry of Agriculture, and the State Council of China. Findings China has produced enough food to feed its growing population, but has neglected the resource-environmental costs of grain production since 1978. Consequently, China’s grain production is always accompanied with a high cost of resource and environment sustainability. However, from 2006 to 2015, the growth rate of grain production has surpassed that of chemical fertilizer consumption, resulting in improvement in nutrient use efficiency and decreasing trends of environmental cost for grain production. This could be partially attributed to technology innovations, such as Soil-Testing and Fertilizer-Recommendations (STFR), soil quality and crop management improvement, and so on, and policy supports (policies of STFR, soil quality improvement, and high-yield construction). This indicated that China’s grain production is starting to transform from high-input and high-output model to “less for more.” Originality/value This study is the first to determine the detailed, historical role of technological innovation and agri-environmental policy on the sustainability of grain production in China. The findings should have significant implications for technology and policy for the transformation of China’s agriculture development to sustainable intensification.
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Li, Erling, Yanan Xu, Shixin Ren, and Jay Lee. "Spin-Offs, Innovation Spillover and the Formation of Agricultural Clusters: The Case of the Vegetable Cluster in Shouguang City, Shandong Province, China." Land 11, no. 2 (February 11, 2022): 279. http://dx.doi.org/10.3390/land11020279.

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Agricultural clusters play a powerful role in promoting the agricultural transformation and rejuvenation of rural areas. However, no in-depth exploration has been made on how agricultural clusters form and evolve, especially in the context of China’s long-term small-scale rural economy. The purpose of this article is to reveal the formation process and evolution mechanism of agricultural clusters by case study research. With the knowledge flow as the starting point, this article takes the Vegetable Cluster in Shouguang City of Shandong Province, China as an example to construct a theoretical framework in the three dimensions of points (spin-offs of enterprises or farmers), lines (network-spillovers of various innovation) and planes (the formation of new regional industry spaces) and put forward theoretical hypotheses. It is shown that: (1) The local spin-off of seed farmers is the main path in the transformation of traditional farmers into enterprises. (2) The network-spillover and adoption of innovative knowledge promote the derivation of specialized farmers or enterprises and realize regional agricultural specialization and spatial agglomeration. (3) The formation of the agricultural cluster resulted from the joint effects of spin-off derived from the entrepreneurial spirit of the farmers, network-spillover of various agricultural innovations and spatial integration of the agricultural landscape. The formation of local agricultural innovation systems marks the maturity of an agricultural cluster. This article contribute to the field by studying one source of Alfred Marshall’s knowledge of external economy from the perspective of spin-offs and innovative spillovers, analyzing the agricultural increasing returns to scale neglected by Krugman, and exploring the micro mechanism of farmers’ enterprise-oriented evolution and the formation of agricultural clusters in underdeveloped rural areas. The research results are of profound referential significance for the cultivation of agricultural clusters in developing countries.
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Dissertations / Theses on the topic "Agricultural innovations China"

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Cao, Yiying. "Innovation diffusion of agricultural biotechnology in China." Thesis, University of Northampton, 2009. http://nectar.northampton.ac.uk/4958/.

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Xu, Shicong. "Innovation in the US and China." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557146910531878.

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Li, Yan. "Faculty perceptions about attributes and barriers impacting diffusion of web-based distance education (WBDE) at the China Agricultural University." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1254.

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he purpose of this study was to examine faculty perceptions about attributes and barriers impacting diffusion of Web-based distance education (WBDE) at the China Agricultural University (CAU). Random and stratified sampling was used and 273 faculty participated in the study. About 70% of participants stayed in early stages in the innovation-decision process related to WBDE (no knowledge, knowledge, or persuasion) and about 30% were in later stages (decision or implementation). Faculty members' stage differed significantly by professional area, level of education, teaching experience, and distance education experience. Gender, age, and academic rank had no significant influence on faculty members' stage. CAU faculty tended to agree with the existence of the five attributes of WBDE (relative advantage, compatibility, complexity, trialability, and observability). Professional area, gender, age, level of education, and academic rank had no significant influence on the five perceived attributes. Teaching experience had no significant influence on the five perceived attributes, except compatibility. Distance education experience had no significant influence on the five perceived attributes, except compatibility and observability. CAU faculty perceived ten factors (concerns about time, concerns about incentives, WBDE program credibility, financial concerns, planning issues, conflict with traditional education, fear of technology, technical expertise, administrative support, and infrastructure) as moderate barriers to diffusion of WBDE. Age, level of education, academic rank, and teaching experience had no significant influence on faculty perception about the ten barriers. Professional area and gender had no significant influence on faculty perception about the ten barriers, except concerns about time. Distance education experience had no significant influence on faculty perception about the ten barriers, except conflict with traditional education. Faculty members' stage in the innovation-decision process had no significant influence on faculty perceptions about relative advantage of WBDE and nine of the ten barriers. Faculty members' stage in the innovation-decision process, however, did have a significant impact on faculty perception about compatibility, complexity, trialability, observability of WBDE, and WBDE program credibility as a perceived barrier. Relative advantage, compatibility, complexity, and trialability were correlated with at least one of the ten barriers. Observability was not related with any of the barriers.
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Coplin, Abigail Elizabeth. "Domesticating Biotechnological Innovation: Science, Market and the State in Post-Socialist China." Thesis, 2019. https://doi.org/10.7916/d8-z1m3-ef53.

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Biotechnological innovation is simultaneously globalizing and localizing. While ambitious scientists and thriving companies operate in a transnational environment, national leaders perceive domestic innovation as a source of international power and of domestic regime legitimacy. My work leverages these tensions between nationalism and globalism to identify mechanisms by which the micro-level dynamics of Chinese state capitalism co-produce scientific expertise, political power, and social critique in China’s agrobiotechnology industry. By examining how this happens in an authoritarian, technocratic, post-socialist nation, I show that exclusively focusing on biotech development in advanced liberal-democracies has reified particular institutional arrangements as “essential” to biotech innovation. This myopia limits our understanding of how such innovation can occur under other state and market organizing principles. Since the birth of the American biotechnology industry, scholars have tried to elucidate the institutional conditions catalyzing biotech growth and decipher the new organizational forms, scientific identities, and governance dilemmas accompanying its rise. Debates rage, for example, over whether “free market” forces or government policies kindled the biotech boom. Others examine how biotech firms translate between the logics of the market and science, how universities normalize academic entrepreneurship, and what configurations of capital, research organizations, and commercial firms boost the emergence of vibrant clusters. Ultimately, however, biotechnological development is not “simply a matter of advances in science and technology, but a product of complex entanglements among knowledge, technical capability, politics, and culture.” My dissertation explores these entanglements in China. Employing in-depth interviews with key actors, observational field research, and textual analysis of Chinese media, I show how the Chinese Communist Party’s (CCP) deployment of nationalist ideologies reshapes and runs up against a science-driven industry of national importance. I contend that China’s approach to developing biotechnology centers on the principle of “technological domestication”, whereby fears of technologically-induced pollution and natural/artificial transgression surrounding genetically modified (GM) technology are recast into an opposition to foreign aggressors, be they countries, companies, or individual actors. Centrally, I argue this nationalist frame is not merely ideological rhetoric, but a principle of institution building that uniquely mixes science, business and the state. As in a chemical reaction, the bonds and boundaries among these entities are restructured and a new compound synthesized, distinct from the sum of its parts. This nationalist “technology” permeates and structures each level of the agrobiotech project: how this nationalist frame fundamentally shapes the nature of business alliances within the agrobiotech sector, the chimeric organizational forms taken by commercial enterprises and academic laboratories, career trajectories spanning science, the market, and the state, professional identities embodied in the industry, and ultimately, even the contours of social criticism leveled against the technology. I aver that while the technological domestication frame enables Chinese firms and entrepreneurs to dominate Chinese technology markets and create novel—and often transgressive—organizational forms, career trajectories and professional identities, it also facilitates the party-state’s “taming” of these actors and the technologies they produce, as the system rewards the development of technologies that reinforce state power and requires ritualistic performances from the firms and academic entrepreneurs operating within it. Overall, while showing the construction of “biotechnology with Chinese characteristics” to be a socio-technical imaginary with meaningful technical, organizational, and moral consequences, I identify an alternative trajectory of knowledge economy development, reveal logics of state capitalism, and determine limits of expert co-option within a single party authoritarian regime.
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Yao, William. "Synergetic value-driven innovation in business model of organic agriculture in China: a case study of IGARDEN." Doctoral thesis, 2018. http://hdl.handle.net/10071/17738.

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The innovation of business model is an important way for enterprises to gain competitive advantages and achieve sustainable development. With the rapid development of organic agriculture, an increasing number of scholars started to pay more attention to the research on the business model innovation of organic agriculture in recent years. However, most of the studies took the western developed countries as research objects, while research on cases of China’s local entrepreneurs are not often to be found. In order to develop Chinese organic agriculture’s business model innovation theory and to guide the practice, this thesis selects IGARDEN as the research object, and with a value-created perspective we explore the innovation process, path and essential characteristics of its business model by a case study method. Through the case study of IGARDEN, the result shows that: (1) The business model of IGARDEN follows the evolution from product-based to platform-based; (2) IGARDEN’s business model innovation follows the logic of value creation, and the core of value creation is the expression of product value, the increase of platform value and the accumulation of sustainable value; (3) The emergence of synergistic value expands the border of value creation activities, promoting the innovation process of business model. Driven by Synergetic Value, the value creation carrier of IGARDEN has thus facilitated the emergence of new business models; (4) The process of business model innovation in IGARDEN is essentially an iterative process based on value creation, value synergy and value upgrading. The research result has contributed to the potential enrichment of theories related to business model innovation through a specific scope of the business model innovation within the organic agriculture industry of China, and it can be a guide of forming business model innovation strategy for entrepreneurs facing similar business environment as described in the case.
A inovação do modelo de negócios é um método importante para as empresas obterem vantagens competitivas e alcançarem o desenvolvimento sustentável. Com o rápido desenvolvimento da agricultura orgânica, um número crescente de estudiosos começou a prestar mais atenção à pesquisa sobre o modelo de negócios da agricultura orgânica nos últimos anos. No entanto, a maioria dos estudos levaram esses países ocidentais desenvolvidos como objetos de pesquisa, enquanto a pesquisa sobre casos de empreendedores locais chineses não costuma ser encontrada. Para desenvolver a teoria da inovação do modelo de negócio da agricultura orgânica chinesa e orientar a prática, esta tese seleciona o IGARDEN como objeto de pesquisa e, com uma perspectiva de valor, exploramos o processo, caminho de inovação e as características essenciais de seu modelo de negócio. Através do estudo de caso do IGARDEN, o resultado mostra que: (1) O modelo de negócio do IGARDEN segue a evolução de baseada em produto para baseada em plataforma; (2) A inovação do modelo de negócios do IGARDEN segue a lógica da criação de valor, e o núcleo da criação de valor é a expressão do valor do produto， o aumento do valor da plataforma e o acúmulo de valor sustentável; (3) O surgimento de valor sinérgico expande a fronteira das atividades de criação de valor, promovendo o processo de inovação do modelo de negócio. Impulsionado pelo Valor Sinérgico, o portador de criação de valor do IGARDEN facilitou o surgimento de novos modelos de negócios; (4) O processo de inovação do modelo de negócios no IGARDEN é essencialmente um processo iterativo baseado na criação de valor, na sinergia de valor e na atualização de valor. O resultado da pesquisa contribuiu para o potencial enriquecimento de teorias relacionadas à inovação do modelo de negócios através de um escopo específico da inovação do modelo de negócios dentro da agricultura orgânica da China, e pode ser um guia de formação de estratégia de inovação de modelo de negócios para empreendedores que enfrentam negócios semelhantes ambiente descrito neste caso.
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Books on the topic "Agricultural innovations China"

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Wang, Deng Xing, ed. Agricultural biotechnology in China: Origins and prospects. New York: Springer, 2008.

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Zhongguo nong ye ke ji jin bu yu nong ye fa zhan: Agricultural technology progress and agricultural development in China. Changchun Shi: Jilin da xue chu ban she, 2009.

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Deng, Gang. Development versus stagnation: Technological continuity and agricultural progress in pre-modern China. Westport, Conn: Greenwood Press, 1993.

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Jikun, Huang, and SpringerLink (Online service), eds. Agricultural Science & Technology in China: A Roadmap to 2050. Berlin, Heidelberg: Science Press,Beijing and Springer Berlin Heidelberg, 2011.

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Koyama, Osamu. Development of sustainable production and utilization of major food resources in China. Tsukuba, Ibaraki, Japan: Japan International Research Center for Agricultural Sciences, 2005.

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Delman, Jørgen. Agricultural extension in Renshou County, China: A case-study of bureaucratic intervention for agricultural innovation and change. Hamburg: Institut fur Asienkunde, 1993.

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APDC-ACWF International Seminar on Agricultural Change and Rural Women (1986 Beijing, China). Agricultural change, rural women, and organizations: A policy dialogue : proceedings of the APDC-ACWF International Seminar on "Agricultural Change and Rural Women," Beijing, China, 29 October-8 November 1986. Kuala Lumpur: Asian and Pacific Development Centre, 1987.

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China) International Conference on Photonics and Image in Agriculture Engineering (2010 Shanghai. PIAGENG 2010: Photonics and imaging for agricultural engineering : 25-26 December 2010, Shanghai, China. Edited by Tan Honghua, SPIE (Society), Wuhan gong xue yuan, Huanggang shi fan xue yuan, and Intelligent Information Technology Application Research Association. Bellingham, Wash: SPIE, 2011.

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China) International Conference on Photonics and Image in Agriculture Engineering (2009 Zhangjiajie. PIAGENG 2009: Image processing and photonics for agricultural engineering : 11-12 July 2009, Zhangjiajie, China. Edited by Tan Honghua, Luo Qi, Intelligent Information Technology Application Research Association, and SPIE (Society). Bellingham, Wash: SPIE, 2009.

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China) International Conference on Photonics and Image in Agriculture Engineering (2009 Zhangjiajie. PIAGENG 2009: Remote sensing and geoscience for agricultural engineering : 11-12 July 2009, Zhangjiajie, China. Edited by Tan Honghua, Luo Qi, Intelligent Information Technology Application Research Association, and SPIE (Society). Bellingham, Wash: SPIE, 2009.

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Book chapters on the topic "Agricultural innovations China"

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Huang, Jikun. "Innovations in Agricultural Technologies in China." In From Food Scarcity to Surplus, 83–135. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9484-7_4.

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Barão, Lúcia, Abdallah Alaoui, Carla Ferreira, Gottlieb Basch, Gudrun Schwilch, Violette Geissen, Wijnand Sukkel, et al. "Promising Agricultural Management Practices and Soil Threats in Europe and China." In Innovations in Landscape Research, 195–213. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67448-9_7.

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Gulati, Ashok, Yuan Zhou, and Ritika Juneja. "Comparative Analysis of Agricultural Innovations in India, China and Israel." In From Food Scarcity to Surplus, 359–84. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9484-7_10.

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Zhao, Li. "Stakeholder Participation in Co-operative Capital in Chinese Agricultural Co-operatives." In Co-operative Innovations in China and the West, 198–214. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137277282_13.

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Iliopoulos, Constantine. "Stakeholder Participation in Co-operative Capital in Western Agricultural Co-operatives." In Co-operative Innovations in China and the West, 81–97. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137277282_6.

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Cook, Michael. "Stakeholder Participation in Co-operative Governance in U.S. Agricultural Co-operatives." In Co-operative Innovations in China and the West, 98–112. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137277282_7.

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Li, Feng-Min, You-Cai Xiong, Xiao-Gang Li, Feng Zhang, and Yu Guan. "Integrated Dryland Agriculture Sustainable Management in Northwest China." In Innovations in Dryland Agriculture, 393–413. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47928-6_14.

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Gabriele, Alberto. "Agricultural and Industrial Rural Enterprises." In Enterprises, Industry and Innovation in the People's Republic of China, 25–45. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2121-8_3.

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Chen, Wensheng. "The Institutional Innovation of the “Resource and Ecologically Sound” Transformation of Agriculture." In China and Globalization 2.0, 419–509. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3536-9_7.

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Sun, Jingcui, and Qingran Guo. "Research on Evaluation and Optimization of Agricultural Technology Innovation Resources Allocation in China." In Advances in Intelligent and Soft Computing, 567–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25349-2_76.

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Conference papers on the topic "Agricultural innovations China"

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Chunxiang, Liu, and Xu Ling. "Research on the agricultural technology innovation achievements of China." In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2013. http://dx.doi.org/10.1109/iciii.2013.6702865.

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Erchao Li, Minli Yang, and Michael L Cook. "Agricultural Machinery Cooperatives in China: Origin, Development, and Innovation." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27292.

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Yao, Fengge, Xiaoli Man, and Yuhong Liu. "Empirical Study on Financial Support of Agricultural Technology Innovation in China." In ICIMTECH 21: The Sixth International Conference on Information Management and Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3465631.3465732.

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Wang, Yongyue, Ying Zhou, and Yuxin Bi. "Resource dependence of agriculture cooperative in China." In 2010 IEEE International Conference on Management of Innovation & Technology. IEEE, 2010. http://dx.doi.org/10.1109/icmit.2010.5492754.

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Jie, Ji, and Chen Lu. "Empirical Analysis of the Level of Agricultural Support in China." In 2011 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2011. http://dx.doi.org/10.1109/iciii.2011.263.

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Chunjiang Zhu, Surendra P. Singh, and Sammy L. Comer. "Comprehensive fuzzy evaluation of agricultural innovation ability in science and technology in Lianyungang, China." In 2012 First National Conference for Engineering Sciences (FNCES). IEEE, 2012. http://dx.doi.org/10.1109/nces.2012.6543645.

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Zhu, Chunjiang, Surendra P. Singh, and Sammy L. Comer. "Comprehensive Fuzzy Evaluation of Agricultural Innovation Ability in Science and Technology in Lianyungang, China." In 2013 Conference on Education Technology and Management Science. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/icetms.2013.350.

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"Research on the Protection and Development of Important Agricultural Cultural Heritage in China." In 2019 International Conference on Arts, Management, Education and Innovation. Clausius Scientific Press, 2019. http://dx.doi.org/10.23977/icamei.2019.003.

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Cui, Xiaopei, and Wei Xia. "Research on the possibility of urban agriculture in Chongqing, China." In Proceedings of the 2019 International Conference on Organizational Innovation (ICOI 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icoi-19.2019.142.

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Li, Yifeng, and Chuanfang Zheng. "Evolution Pattern of Technical Innovation Input and Output of Agricultural Product Processing Industry in China." In 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icmess-18.2018.296.

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