Access the full text.
Sign up today, get DeepDyve free for 14 days.
Yan Heng, Zhifeng Gao, Yuan Jiang, Xuqi Chen (2018)
Exploring hidden factors behind online food shopping from Amazon reviews: A topic mining approachJournal of Retailing and Consumer Services, 42
C. Pope, S. Ziebland, N. Mays (2000)
QUALITATIVE RESEARCH IN HEALTH CARE: ANALYZING QUALITATIVE DATA, 320
Virginia Braun, Victoria Clarke
Please Scroll down for Article Qualitative Research in Psychology Using Thematic Analysis in Psychology
S. Elo, M. Kääriäinen, Outi Kanste, T. Pölkki, Kati Utriainen, H. Kyngäs (2014)
Qualitative Content AnalysisSAGE Open, 4
(2012)
Diva-gis version 7.5 manual
D. Almond, Xinming Du (2020)
Later bedtimes predict President Trump’s performance☆Economics Letters, 197
A. Joglekar, U. Wood-Sichra, P. Pardey (2019)
Pixelating crop production: Consequences of methodological choicesPLoS ONE, 14
Liang Lu, T. Reardon (2018)
An Economic Model of the Evolution of Food Retail and Supply Chains from Traditional Shops to Supermarkets to E‐CommerceAmerican Journal of Agricultural Economics, 100
Molly Brown, Varun Kshirsagar (2015)
Weather and international price shocks on food prices in the developing worldGlobal Environmental Change-human and Policy Dimensions, 35
Lijuan Cao, Tianxiang Li, Rongbo Wang, Jing Zhu (2020)
Impact of COVID-19 on China's agricultural tradeChina Agricultural Economic Review
Baozhong Su, Yuheng Li, Xiaodong Zheng (2020)
Who are to support the aged in rural China? The study of people's willingness to purchase socialized care service and its influencing factorsJournal of Rural Studies
Alexander März, N. Klein, T. Kneib, O. Musshoff (2014)
Analysing farmland rental rates using Bayesian geoadditive quantile regressionEuropean Review of Agricultural Economics, 43
A. Crane-Droesch (2018)
Technology Diffusion, Outcome Variability, and Social Learning: Evidence from a Field Experiment in KenyaAmerican Journal of Agricultural Economics, 100
Shurui Zhang, Shuo Wang, Lingran Yuan, Xiaoguang Liu, Binlei Gong (2020)
The impact of epidemics on agricultural production and forecast of COVID-19China Agricultural Economic Review, 12
A. Peters, E. Walter-Shea, L. Ji, A. Viña, M. Hayes, M. Svoboda (2002)
Drought Monitoring with NDVI-Based Standardized Vegetation IndexPhotogrammetric Engineering and Remote Sensing, 68
A Companion to Qualitative Research, 1
(2020)
Investigating factors affecting adoption of automated milking systems (ams) in Idaho
Hongdong Guo, Yehong Liu, Xinjie Shi, Kevin Chen (2020)
The role of e-commerce in the urban food system under COVID-19: lessons from ChinaChina Agricultural Economic Review
Yan Zhang, Shaosheng Jin, Y. Zhang, Xiaohua Yu (2020)
How country of origin influences Chinese consumers' evaluation of imported milk?China Agricultural Economic Review
Xiaoxue Du, Liang Lu, T. Reardon, D. Zilberman (2016)
Economics of Agricultural Supply Chain Design: A Portfolio Selection ApproachAgricultural & Natural Resource Economics eJournal
X. Rao, T. Hurley, P. Pardey (2020)
Recalibrating the reported returns to agricultural R&D: what if we all heeded Griliches?*Australian Journal of Agricultural and Resource Economics, 64
Qiujie Zheng, Junhong Chen, Robin Zhang, H. Wang (2020)
What factors affect Chinese consumers’ online grocery shopping? Product attributes, e-vendor characteristics and consumer perceptionsChina Agricultural Economic Review, 12
T. Hurley, X. Rao, P. Pardey (2014)
Re‐Examining the Reported Rates of Return to Food and Agricultural Research and DevelopmentERN: Other Development Economics: Agriculture
S. Athey, G. Imbens (2015)
Recursive partitioning for heterogeneous causal effectsProceedings of the National Academy of Sciences, 113
M. Vaismoradi, H. Turunen, T. Bondas (2013)
Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study.Nursing & health sciences, 15 3
Guang Tian, Liang Lu, C. Mcintosh (2021)
What factors affect consumers’ dining sentiments and their ratings: Evidence from restaurant online review dataFood Quality and Preference, 88
X. Rao (2014)
Land fragmentation with double dividends – the case of Tanzanian agricultureEuropean Review of Agricultural Economics
Leticia Vidal, G. Ares, S. Jaeger (2016)
Use of emoticon and emoji in tweets for food-related emotional expressionFood Quality and Preference, 49
L. You (2012)
A Tale of Two Countries
H. Varian (2014)
Big Data: New Tricks for EconometricsJournal of Economic Perspectives, 28
Xiaoxue Du, J. Ifft, Liang Lu, D. Zilberman (2015)
Marketing Contracts and Crop InsuranceERN: Economics of Contract: Theory (Topic)
Qian Li, Jingjing Wang, Xiaoyang Wang, Yubin Wang (2020)
The impact of alternative policies on livestock farmers' willingness to recycle manure: evidence from central ChinaChina Agricultural Economic Review, 12
G. Peersman (2015)
International Food Commodity Prices and Missing (Dis)Inflation in the Euro AreaInternational Trade & Freight Distribution eJournal
S. Mullainathan, Jann Spiess (2017)
Machine Learning: An Applied Econometric ApproachJournal of Economic Perspectives, 31
Qualitative Research in Psychology, 3
T. Reardon, Amir Heiman, Liang Lu, Chandra Nuthalapati, R. Vos, D. Zilberman (2021)
“Pivoting” by food industry firms to cope with COVID‐19 in developing regions: E‐commerce and “copivoting” delivery intermediariesAgricultural Economics (Amsterdam, Netherlands), 52
Rui Zhao, K. Mao (2018)
Fuzzy Bag-of-Words Model for Document RepresentationIEEE Transactions on Fuzzy Systems, 26
L. You, S. Wood, U. Wood-Sichra (2014)
Generating Global Crop Distribution Maps: From Census to Grid
Yin Zhang, Rong Jin, Zhi-Hua Zhou (2010)
Understanding bag-of-words model: a statistical frameworkInternational Journal of Machine Learning and Cybernetics, 1
T. Engida, X. Rao, A. Lansink (2020)
A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibilityEur. J. Oper. Res., 287
Patrick Hatzenbuehler, P. Abbott, T. Abdoulaye (2020)
Growing condition variations and grain prices in Niger and NigeriaEuropean Review of Agricultural Economics
Qian Sun, Xiaoyun Li, D. Rahut (2021)
Urbanicity and nutrition: evidence from rural–urban migrants in ChinaChina Agricultural Economic Review
B. Gilmour (2019)
Achieving Food Security in China: The Challenges AheadChina Agricultural Economic Review
J. Ifft, R. Kuhns, Kevin Patrick (2018)
Can machine learning improve prediction – an application with farm survey dataInternational Food and Agribusiness Management Review
T. Reardon, B. Belton, L. Liverpool‐Tasie, Liang Lu, Chandra Nuthalapati, Oyinkan Tasie, D. Zilberman (2021)
E‐commerce's fast‐tracking diffusion and adaptation in developing countriesApplied Economic Perspectives and Policy
S. Min, Xiaoheng Zhang, Gu-cheng Li (2020)
A snapshot of food supply chain in Wuhan under the COVID-19 pandemicChina Agricultural Economic Review, 12
P. D’Odorico, D. Chiarelli, L. Rosa, A. Bini, D. Zilberman, M. Rulli (2020)
The global value of water in agricultureProceedings of the National Academy of Sciences of the United States of America, 117
Keith Coble, A. Mishra, Shannon Ferrell, T. Griffin (2018)
Big Data in Agriculture: A Challenge for the FutureApplied Economic Perspectives and Policy, 40
Alice Wu (2020)
Gender Bias among Professionals: An Identity-Based InterpretationReview of Economics and Statistics, 102
S. Fan, S. Yosef, R. Pandya-Lorch (2020)
Linking agriculture to nutrition: the evolution of policyChina Agricultural Economic Review, 12
M. Raj (2015)
Applications of Pattern Recognition Algorithms in Agriculture: A Review
The World Bank Economic Review, 33
T. Reardon, Liang Lu, D. Zilberman (2017)
Links among innovation, food system transformation, and technology adoption, with implications for food policy: Overview of a special issueFood Policy
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Jamie Brew (2019)
HuggingFace's Transformers: State-of-the-art Natural Language ProcessingArXiv, abs/1910.03771
D. Zilberman, Liang Lu, T. Reardon (2017)
Innovation-induced food supply chain designFood Policy
Shaoze Jin, Jikun Huang, H. Waibel (2020)
Location and economic resilience in rubber farming communities in southwest ChinaChina Agricultural Economic Review
Yong Hu, K. Fisher-Vanden, Baozhong Su (2020)
Technological spillover through industrial and regional linkages: Firm-level evidence from ChinaEconomic Modelling, 89
Xiaoxue Du, M. Khanna, Liang Lu, Xi Yang, D. Zilberman (2017)
Contracting in the Biofuel Sector
Patrick Hatzenbuehler, Xiaoxue Du, K. Painter (2020)
Price transmission with sparse market information: The case of United States chickpeasAgribusiness
A. Tamirat, J. Pennings, Andres Trujillo‐Barrera (2017)
Farm Level Risk Balancing Behavior and the Role of Latent Heterogeneity
Agricultural Systems, 127
L. Elbakidze, Liang Lu, S. Eigenbrode (2011)
Evaluating Vector-Virus-Yield Interactions for Peas and Lentils under Climatic Variability: A Limited Dependent Variable AnalysisJournal of Agricultural and Resource Economics, 36
Hugo Storm, K. Baylis, T. Heckelei (2019)
Machine learning in agricultural and applied economicsEuropean Review of Agricultural Economics
The purpose of this paper is to describe the main ways in which large amounts of information have been integrated to provide new measures of food consumption and agricultural production, and new methods for gathering and analyzing internet-based data.Design/methodology/approachThis study reviews some of the recent developments and applications of big data, which is becoming increasingly popular in agricultural economics research. In particular, this study focuses on applications of new types of data such as text and graphics in consumers' online reviews emerging from e-commerce transactions and Normalized Difference Vegetation Index (NDVI) data as well as other producer data that are gaining popularity in precision agriculture. This study then reviews data gathering techniques such as web scraping and data analytics tools such as textual analysis and machine learning.FindingsThis study provides a comprehensive review of applications of big data in agricultural economics and discusses some potential future uses of big data.Originality/valueThis study documents some new types of data that are being utilized in agricultural economics, sources and methods to gather and store such data, existing applications of these new types of data and techniques to analyze these new data.
China Agricultural Economic Review – Emerald Publishing
Published: Aug 9, 2022
Keywords: Big data; Normalized difference vegetation index (NDVI); Textual analysis; Machine learning; Q12; Q16; Q18
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.