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Animal Husbandry & Veterinary Science

Effect of digital economy on large-scale pig farming: An empirical study from China

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Article: 2238985 | Received 17 Apr 2023, Accepted 17 Jul 2023, Published online: 30 Jul 2023

References

  • Bao, J., & Xie, Q. (2022). Artificial intelligence in animal farming: A systematic literature review. Journal of Cleaner Production, 331, 129956. https://doi.org/10.1016/j.jclepro.2021.129956
  • Benjamin, M., & Yik, S. (2019). Precision livestock farming in swine welfare: A review for swine practitioners. Animals, 9(4), 133. https://doi.org/10.3390/ani9040133
  • Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021). Understanding anthropomorphism in service provision: A meta-analysis of physical robots, chatbots, and other AI. Journal of the Academy of Marketing Science, 49(4), 632–25. https://doi.org/10.1007/s11747-020-00762-y
  • Chen, Y. (2020). Improving market performance in the digital economy. China Economic Review, 62, 101482. https://doi.org/10.1016/j.chieco.2020.101482
  • Chen, X., Teng, L., & Chen, W. (2022). How does FinTech affect the development of the digital economy? Evidence from China. The North American Journal of Economics & Finance, 61, 101697. https://doi.org/10.1016/j.najef.2022.101697
  • Chen, P., Xie, R., Lu, M., & Huang, Z. (2021). The impact of the spatio-temporal neighborhood effect on urban eco-efficiency in China. Journal of Cleaner Production, 285, 124860. https://doi.org/10.1016/j.jclepro.2020.124860
  • Collins, L. M., & Smith, L. M. (2022). Review: Smart agri-systems for the pig industry. Animal, 100518, 100518. https://doi.org/10.1016/j.animal.2022.100518
  • Ding, Y., Zhang, H., & Tang, S. (2021). How does the digital economy affect the domestic value-added rate of chinese exports? Journal of Global Information Management, 29(5), 71–85. https://doi.org/10.4018/JGIM.20210901.oa5
  • Dubé, J., Legros, D., Thériault, M., & Des Rosiers, F. (2014). A spatial difference-in-differences estimator to evaluate the effect of change in public mass transit systems on house prices. Transportation Research Part B: Methodological, 64, 24–40. https://doi.org/10.1016/j.trb.2014.02.007
  • Eastwood, C. R., Edwards, J. P., & Turner, J. A. (2021). Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems. Animal, 15, 100296. https://doi.org/10.1016/j.animal.2021.100296
  • Eastwood, C., Klerkx, L., & Nettle, R. (2017). Dynamics and distribution of public and private research and extension roles for technological innovation and diffusion: Case studies of the implementation and adaptation of precision farming technologies. Journal of Rural Studies, 49, 1–12. https://doi.org/10.1016/j.jrurstud.2016.11.008
  • Garifova, L. F. (2015). Infonomics and the value of information in the digital economy. Procedia Economics and Finance, 23, 738–743. https://doi.org/10.1016/S2212-5671(15)00423-2
  • Giusti, J. D., Alberti, F. G., & Belfanti, F. (2020). Makers and clusters. Knowledge leaks in open innovation networks. Journal of Innovation & Knowledge, 5(1), 20–28. https://doi.org/10.1016/j.jik.2018.04.001
  • Groher, T., Heitkämper, K., & Umstätter, C. (2020). Digital technology adoption in livestock production with a special focus on ruminant farming. Animal, 14(11), 2404–2413. https://doi.org/10.1017/S1751731120001391
  • Hojeghan, S. B., & Esfangareh, A. N. (2011). Digital economy and tourism impacts, influences and challenges. Procedia – Social and Behavioral Science, 19, 308–316. https://doi.org/10.1016/j.sbspro.2011.05.136
  • Kablana, A. S. K., & Chhikara, K. S. (2013). A theoretical and quantitative analysis of financial inclusion and economic growth. Management and Labour Studies, 38(1–2), 103–133. https://doi.org/10.1177/0258042X13498009
  • Knudsen, E. S., Lien, L. B., Timmermans, B., Belik, I., & Pandey, S. (2021). Stability in turbulent times? The effect of digitalization on the sustainability of competitive advantage. Journal of Business Research, 128, 360–369. https://doi.org/10.1016/j.jbusres.2021.02.008
  • Kuznetsov, N. I., Ukolova, N. V., Monakhov, S. V., & Shikhanova, J. A. (2018). Development of the digital economy in modern agriculture of Russia: Opportunities, drivers and trends. Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development, 18(1), 219–226. Retrieved April 14, 2022 http://managementjournal.usamv.ro/pdf/vol.18_1/Art28.pdf
  • Li, J., Chen, L., Chen, Y., & He, J. (2022). Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China. Managerial and Decision Economics, 43(3), 616–629. https://doi.org/10.1002/mde.3406
  • Lin-Schilstra, L., Backus, G., Snoek, H., & Mörlein, D. (2022). Consumers’ view on pork: Consumption motives and production preferences in ten European Union and four non-European Union countries. Meat Science, 187, 108736. https://doi.org/10.1016/j.meatsci.2022.108736
  • Liu, Y., Liu, S., Shao, X., & He, Y. (2022). Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China’s carbon emissions trading policy. Renewable and Sustainable Energy Reviews, 153, 111779. https://doi.org/10.1016/j.rser.2021.111779
  • Li, Z., & Wang, J. (2022). The dynamic impact of digital economy on carbon emission reduction: Evidence city-level empirical data in China. Journal of Cleaner Production, 351, 131570. https://doi.org/10.1016/j.jclepro.2022.131570
  • Li, J., Wu, Y., & Xiao, J. J. (2020). The impact of digital finance on household consumption: Evidence from China. Economic Modelling, 86, 317–326. https://doi.org/10.1016/j.econmod.2019.09.027
  • Matsuno, S., Uchida, Y., Ito, T., & Ito, T. (2017). A survival analysis of the Japanese information service industry. Procedia computer science, 121, 291–296. https://doi.org/10.1016/j.procs.2017.11.040
  • Ma, D., & Zhu, Q. (2022). Innovation in emerging economies: Research on the digital economy driving high-quality green development. Journal of Business Research, 145, 801–813. https://doi.org/10.1016/j.jbusres.2022.03.041
  • Miao, Z. (2021). Digital economy value chain: Concept, model structure, and mechanism. Applied Economics, 53(37), 4342–4357. https://doi.org/10.1080/00036846.2021.1899121
  • Mikayilov, J. I., Galeotti, M., & Hasanov, F. (2018). The impact of economic growth on CO2 emissions in Azerbaijan. Journal of Cleaner Production, 197(10), 1558–1572. https://doi.org/10.1016/j.jclepro.2018.06.269
  • Milford, A. B., Le Mouël, C., Bodirsky, B. L., & Rolinski, S. (2019). Drivers of meat consumption. Appetite, 141, 104313. https://doi.org/10.1016/j.appet.2019.06.005
  • Mossberger, K., LaCombe, S., & Tolbert, C. J. (2022). A new measure of digital economic activity and its impact on local opportunity. Telecommunications Policy, 46(1), 102231. https://doi.org/10.1016/j.telpol.2021.102231
  • National Bureau of Statistics of China. 2022. Regional data (Annual by province,2011-2018). Retrieved January 24, 2022. https://data.stats.gov.cn/easyquery.htm?cn=E0103.
  • Neethirajan, S. (2017). Recent advances in wearable sensors for animal health management. Sensing and Bio-Sensing Research, 12, 15–29. https://doi.org/10.1016/j.sbsr.2016.11.004
  • Neethirajan, S., & Kemp, B. (2021). Digital livestock farming. Sensing and Bio-Sensing Research, 32, 100408. https://doi.org/10.1016/j.sbsr.2021.100408
  • Pace, R. K., & LeSage, J. P. (2009). A sampling approach to estimate the log determinant used in spatial likelihood problems. Journal of Geographical Systems, 11(3), 209–225. https://doi.org/10.1007/s10109-009-0087-7
  • Pan, W., He, Z., & Pan, H. (2021). Research on spatiotemporal evolution and distribution dynamics of digital economy development in China. China Soft Science, 10, 137–147. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2021&filename=ZGRK202110014&uniplatform=NZKPT&v=3a01D728ebOpZ_a6y3UFucMFK7ebpM-lh0X-7WFATwtdxy8lag-cvyJqcrrCnr23
  • Pan, W., Xie, T., Wang, Z., & Ma, L. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303–311. https://doi.org/10.1016/j.jbusres.2021.09.061
  • Paradise, J. F. (2019). China’s quest for global economic governance reform. Journal of Chinese Political Science, 24(3), 471–493. https://doi.org/10.1007/s11366-019-09610-5
  • Ping, J. L., Green, C. J., Zartman, R. E., & Bronson, K. F. (2004). Exploring spatial dependence of cotton yield using global and local autocorrelation statistics. Field Crops Research, 89(2–3), 219–236. https://doi.org/10.1016/j.fcr.2004.02.009
  • Pradhan, R. P., Arvin, M. B., Nair, M., Bennett, S. E., & Bahmani, S. (2019). Short-term and long-term dynamics of venture capital and economic growth in a digital economy: A study of European countries. Technology in Society, 57, 125–134. https://doi.org/10.1016/j.techsoc.2018.11.002
  • Qiao, F., Huang, J., Wang, D., Liu, H., & Lohmar, B. (2016). China’s hog production: From backyard to large-scale. China Economic Review, 38, 199–208. https://doi.org/10.1016/j.chieco.2016.02.003
  • Ren, S., Hao, Y., Xu, L., Wu, H., & Ba, N. (2021). Digitalization and energy: How does internet development affect China’s energy consumption? Energy Economics, 98, 105220. https://doi.org/10.1016/j.eneco.2021.105220
  • Research & markets. 2020. Global pork market forecast (2018 to 2026)—by production, consumption, import, export & company. Retrieved May 1, 2022. https://www.globenewswire.com/news-release/2020/05/12/2031727/0/en/Global-Pork-Market-Forecast-2018-to-2026-By-Production-Consumption-Import-Export-Company.html.
  • Rosendal, G. K., & Olesen, I. (2022). Overcoming barriers to breeding for increased lice resistance in farmed Atlantic salmon: A case study from Norway. Aquaculture, 548(1), 737574. https://doi.org/10.1016/j.aquaculture.2021.737574
  • Sahoo, M. M., Patra, K. C., Swain, J. B., & Khatua, K. K. (2017). Evaluation of water quality with application of Bayes’ rule and entropy weight method. European Journal of Environmental and Civil Engineering, 21(6), 730–752. https://doi.org/10.1080/19648189.2016.1150895
  • Shi, B., Wang, S., Jiao, J., Li, G., & Yin, C. (2022). Recognition on characteristics and applicability of typical modes for manure & sewage management in pig farming: A case study in Hebei, China. Waste Management, 148, 83–97. https://doi.org/10.1016/j.wasman.2022.05.018
  • Sorescu, A., & Schreier, M. (2021). Innovation in the digital economy: A broader view of its scope, antecedents, and consequences. Journal of the Academy of Marketing Science, 49(4), 627–631. https://doi.org/10.1007/s11747-021-00793-z
  • Sun, R., Liu, X., Li, D., Zhuang, J., Qi, S., & Meng, B., Liu, M. (2022). Optimization of China’s pig production system to reduce environmental impacts based on a data envelopment and life cycle analysis model. Resources, Conservation and Recycling, 185, 106483. https://doi.org/10.1016/j.resconrec.2022.106483
  • Tang, C., Xu, Y., Hao, Y., Wu, H., & Xue, Y. (2021). What is the role of telecommunications infrastructure construction in green technology innovation? A firm-level analysis for China. Energy Economics, 103, 105576. https://doi.org/10.1016/j.eneco.2021.105576
  • Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit Region. Economic Geography, 46, 234. https://doi.org/10.2307/143141
  • Tzanidakis, C., Simitzis, P., Arvanitis, K., & Panagakis, P. (2021). An overview of the current trends in precision pig farming technologies. Livestock Science, 249, 104530. https://doi.org/10.1016/j.livsci.2021.104530
  • Vorotnikov, I. L., Ukolova, N. V., Monakhov, S. V., Shikhanova, J. A., & Neyfeld, V. V. (2020). Economic aspects of the development of the “digital agriculture” system. Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development, 20(1), 633–638. Accessed April 14,2022. http://managementjournal.usamv.ro/index.php/scientific-papers/85-vol-20-issue-1/2174-economic-aspects-of-the-development-of-the-digital-agriculture-system
  • Watanabe, C., Naveed, K., Tou, Y., & Neittaanmäki, P. (2018). Measuring GDP in the digital economy: Increasing dependence on uncaptured GDP. Technological Forecasting & Social Change, 137, 226–240. https://doi.org/10.1016/j.techfore.2018.07.053
  • Williams, L. D. (2021). Concepts of digital economy and industry 4.0 in intelligent and information systems. International Journal of Intelligent Networks, 2, 122–129. https://doi.org/10.1016/j.ijin.2021.09.002
  • Xu, H., Ma, C., Lian, J., Xu, K., & Chaima, E. (2018). Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China. Journal of Hydrology, 563, 975–986. https://doi.org/10.1016/j.jhydrol.2018.06.060
  • Xu, G., Sarkar, A., Qian, L., Shuxia, Z., Rahman, M. A., & Yongfeng, T. (2022). The impact of the epidemic experience on the recovery of production of pig farmers after the outbreak-Evidence from the impact of African swine fever (ASF) in Chinese pig farming. Preventive Veterinary Medicine, 199, 105568. https://doi.org/10.1016/j.prevetmed.2022.105568
  • Xu, J., & Yu, W. (2022). Information and communication technology and carbon emissions in China: The rebound effect of energy intensive industry. Sustain Prod Consum, 12. https://doi.org/10.1016/j.spc.2022.06.004
  • Yao, H., Zang, C., Zuo, X., Xian, Y., Lu, Y., Huang, Y., & Li, X. (2022). Tradeoff analysis of the pork supply and food security under the influence of African swine fever and the COVID-19 outbreak in China. Geography and Sustainability, 3(1), 32–43. https://doi.org/10.1016/j.geosus.2022.01.005
  • Zhang, W., Liu, X., Wang, D., & Zhou, J. (2022). Digital economy and carbon emission performance: Evidence at China’s city level. Energy Policy, 165, 112927. https://doi.org/10.1016/j.enpol.2022.112927
  • Zhao, J., Bai, Z., & Ma, L. (2019). China needs long-term solutions for African Swine Fever. Sci Bull, 3(20), 1469–1471. https://doi.org/10.1016/j.scib.2019.08.015
  • Zhen, H., Cheng, H., & Chun, Y. (2020). Spatial econometric analysis of environmental total factor productivity of ranimal husbandry and its influencing factors in China during 2001–2017. The Science of the Total Environment, 723, 137726. https://doi.org/10.1016/j.scitotenv.2020.137726
  • Zhu, W., & Chen, J. (2022). The spatial analysis of digital economy and urban development: A case study in Hangzhou, China. Cities, 123, 103563. https://doi.org/10.1016/j.cities.2022.103563
  • Zou, J., & Deng, X. (2022). To inhibit or to promote: How does the digital economy affect urban migrant integration in China? Technol. Technological Forecasting & Social Change, 179, 121647. https://doi.org/10.1016/j.techfore.2022.121647