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Inducing the adoption of emerging technologies for sustainable intensification of food and renewable energy production: insights from applied economics*

Khanna, Madhu, Miao, Ruiqing·2022·Australian Journal of Agricultural and Resource Economics
DOI 10.1111/1467-8489.12461
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Abstract

Emerging advances in sustainable intensification technologies have the potential to transform land use and crop management approaches in ways that can increase resource productivity and reduce adverse environmental impacts of agricultural production. This paper describes emerging technologies that can sustainably intensify food and renewable energy production. We apply the findings from studies examining the adoption of technologies with similar stylized features to provide insights about the incentives and barriers for the adoption of these emerging technologies. We also present a landscape‐based systems approach, based on welfare economics, to go beyond relying on a positive approach to explain observed adoption decisions to examining normative questions about the optimal mix, level, and location of adoption of these technologies to achieve desired societal outcomes. We conclude with a discussion of the insights from applied economics for the design of policy incentives to achieve these outcomes.

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Cites

Research works printed but not linked: 74

  1. Ancev T., 2006, The economics of efficient phosphorus abatement in a watershed, Journal of Agricultural and Resource Economics, 31, 529
  2. 10.1111/agec.12501 · DOI
  3. 10.1038/s41893‐019‐0364‐5 · DOI · Paper page
  4. Bocquého G., 2015, Paper Presented in Journées de Recherche En Sciences Sociales de La SFER
  5. 10.2307/1242126 · DOI
  6. 10.1002/aepp.13003 · DOI
  7. 10.1088/1748‐9326/abd7af · DOI
  8. 10.3389/fenvs.2020.00140 · DOI
  9. 10.1111/gcbb.12307 · DOI · Paper page
  10. 10.1093/ajae/aax051 · DOI
  11. 10.1002/aepp.13007 · DOI · Paper page
  12. 10.1093/aepp/ppz023 · DOI
  13. 10.1093/erae/jbz019 · DOI
  14. 10.1515/9781400830176 · DOI · Paper page
  15. 10.1257/aer.101.6.2350 · DOI · Paper page
  16. 10.1016/j.eneco.2017.08.023 · DOI
  17. 10.1016/j.renene.2011.03.005 · DOI
  18. 10.1016/j.econlet.2014.02.009 · DOI
  19. 10.1093/aepp/ppu044 · DOI
  20. 10.1257/aer.20150474 · DOI · Paper page
  21. 10.1021/acs.est.0c04358 · DOI
  22. 10.1038/nature10452 · DOI · Paper page
  23. Food and Agriculture Organization of the United Nations, 2020, FAOSTAT
  24. Gine X., 2005, Credit constraints as a barrier to technology adoption by the poor: lessons from South Indian small‐scale fishery, World Bank
  25. 10.1142/S2382624X1550006X · DOI
  26. 10.1038/NENERGY.2015.5 · DOI
  27. 10.3390/s17061379 · DOI
  28. 10.2307/40987104 · DOI
  29. 10.1111/1467‐8276.00121 · DOI
  30. 10.1017/age.2019.22 · DOI
  31. 10.1561/101.00000102 · DOI
  32. 10.1016/j.agsy.2016.09.021 · DOI
  33. 10.1111/0002‐9092.00135 · DOI
  34. 10.1002/aepp.13103 · DOI
  35. 10.1146/annurev‐resource‐110811‐114523 · DOI
  36. 10.1111/j.1574‐0862.2000.tb00089.x · DOI
  37. 10.1111/j.1574‐0862.2002.tb00113.x · DOI
  38. 10.1111/agec.12332 · DOI
  39. 10.1086/713026 · DOI
  40. 10.1016/S0921-8009(96)00553-8 · DOI
  41. 10.1142/S2010007812500169 · DOI
  42. Khanna M., 2014, Oxford Handbook of Land Economics
  43. 10.1016/j.foodpol.2006.01.003 · DOI · Paper page
  44. 10.2307/1243867 · DOI
  45. 10.1111/j.1574‐0864.2006.00112.x · DOI
  46. 10.2134/agronj2018.12.0779 · DOI
  47. 10.1093/ajae/aar142 · DOI
  48. 10.1111/gcbb.12152 · DOI · Paper page
  49. 10.1016/j.eneco.2017.03.018 · DOI
  50. 10.1093/AEPP/PPX031 · DOI
  51. 10.1146/annurev‐resource‐110319‐115428 · DOI
  52. 10.1038/s41893-019-0388-x · DOI
  53. 10.3390/agronomy10111658z027 · DOI
  54. 10.2172/1086349 · DOI
  55. 10.3390/agronomy10121885 · DOI
  56. 10.1038/s41893-020-00617-y · DOI
  57. 10.1111/j.1477‐8947.1997.tb00699.x · DOI
  58. 10.3390/su13010137 · DOI
  59. Rogers E.M., 1962, Diffusion of innovations
  60. 10.3389/fsufs.2018.00087 · DOI
  61. 10.3390/su13020711 · DOI
  62. 10.3390/ENVIRONMENTS6060065 · DOI
  63. 10.1016/j.landusepol.2015.09.027 · DOI
  64. 10.1093/ajae/aar018 · DOI
  65. 10.1002/aepp.13006 · DOI
  66. 10.1016/j.cosust.2014.10.002 · DOI
  67. 10.1111/j.1757‐1707.2010.01053.x · DOI · Paper page
  68. 10.1016/j.biombioe.2008.04.002 · DOI
  69. 10.1146/annurev‐resource‐100516‐053654 · DOI
  70. 10.1002/aepp.13004 · DOI
  71. 10.1016/j.agee.2018.01.023 · DOI
  72. 10.1007/s13593-019-0581-3 · DOI
  73. 10.3390/land8110157 · DOI
  74. 10.1038/nature15743 · DOI · Paper page

Metadata

Authors
Khanna, M., & Miao, R.
Venue
Australian Journal of Agricultural and Resource Economics
Publisher
Wiley
Published
2021-12
Volume
66
Issue
1
Pages
1-23
ISSN
  • 1364-985X
  • 1467-8489
DOI
10.1111/1467-8489.12461
Cited by
21
References
5
Language
en
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Funders
Alabama Agricultural Experiment Station

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