2,078
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Mechanization in land preparation and irrigation water productivity: insights from rice production

ORCID Icon, ORCID Icon, ORCID Icon &
Pages 379-400 | Received 06 Feb 2023, Accepted 25 Mar 2023, Published online: 04 May 2023

References

  • Aghapour Sabbaghi, M., Nazari, M., Araghinejad, S., & Soufizadeh, S. (2020). Economic impacts of climate change on water resources and agriculture in Zayandehroud river basin in Iran. Agricultural Water Management, 241(May 2019), 106323. https://doi.org/10.1016/j.agwat.2020.106323
  • Alvez, A., Aitken, D., Rivera, D., Vergara, M., McIntyre, N., & Concha, F. (2020). At the crossroads: Can desalination be a suitable public policy solution to address water scarcity in Chile’s mining zones? Journal of Environmental Management, 258(December 2019), 110039. https://doi.org/10.1016/j.jenvman.2019.110039
  • Brar, H. S., & Vashist, K. K. (2020). Drip irrigation and nitrogen fertilization alter phenological development and yield of spring maize (Zea mays L.) under semi-arid conditions. Journal of Plant Nutrition, 43(12), 1757–1767. https://doi.org/10.1080/01904167.2020.1744648
  • Brown, L. R. (1995). Who will feed China?: Wake-up call for a small planet. WW Norton.
  • Brown, P., Daigneault, A., & Dawson, J. (2019). Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture. Journal of Environmental Management, 231, 110–120. https://doi.org/10.1016/J.JENVMAN.2018.10.018
  • Cao, X., Zeng, W., Wu, M., Guo, X., & Wang, W. (2020). Hybrid analytical framework for regional agricultural water resource utilization and efficiency evaluation. Agricultural Water Management, 231(January), 106027. https://doi.org/10.1016/j.agwat.2020.106027
  • Carpena, F. (2019). How do droughts impact household food consumption and nutritional intake? A study of rural India. World Development, 122, 349–369. https://doi.org/10.1016/j.worlddev.2019.06.005
  • Carracelas, G., Hornbuckle, J., Rosas, J., & Roel, A. (2019). Irrigation management strategies to increase water productivity in Oryza sativa (rice) in Uruguay. Agricultural Water Management, 222(March), 161–172. https://doi.org/10.1016/j.agwat.2019.05.049
  • CESY. (2021). China energy statistical yearbook 2020. China Statistics Press.
  • Çetin, O., & Kara, A. (2019). Assessment of water productivity using different drip irrigation systems for cotton. Agricultural Water Management, 223(May), 105693. https://doi.org/10.1016/j.agwat.2019.105693
  • Chang, C.-P., Wen, J., Dong, M., & Hao, Y. (2018). Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations. Energy Policy, 113, 386–400. https://doi.org/10.1016/j.enpol.2017.11.021
  • Chen, L., Chang, J., Wang, Y., Guo, A., Liu, Y., Wang, Q., Zhu, Y., Zhang, Y., & Xie, Z. (2021). Disclosing the future food security risk of China based on crop production and water scarcity under diverse socioeconomic and climate scenarios. Science of the Total Environment, 790, 148110. https://doi.org/10.1016/j.scitotenv.2021.148110
  • Chigusiwa, L., Kembo, G., & Kairiza, T. (2022). Drought and social conflict in rural Zimbabwe: Does the burden fall on women and girls? Review of Development Economics, September. https://doi.org/10.1111/rode.12944
  • Choudhary, M., Panday, S. C., Meena, V. S., Singh, S., Yadav, R. P., Pattanayak, A., Mahanta, D., Bisht, J. K., & Stanley, J. (2020). Long-term tillage and irrigation management practices: Strategies to enhance crop and water productivity under rice–wheat rotation of Indian mid-Himalayan Region. Agricultural Water Management, 232(May 2018), 106067. https://doi.org/10.1016/j.agwat.2020.106067
  • Comas, L. H., Trout, T. J., DeJonge, K. C., Zhang, H., & Gleason, S. M. (2019). Water productivity under strategic growth stage-based deficit irrigation in maize. Agricultural Water Management, 212(November 2017), 433–440. https://doi.org/10.1016/j.agwat.2018.07.015
  • Craney, T. A., & Surles, J. G. (2002). Model-dependent variance inflation factor cutoff values. Quality Engineering, 14(3), 391–403. https://doi.org/10.1081/QEN-120001878
  • Daghagh Yazd, S., Wheeler, S. A., & Zuo, A. (2020). Understanding the impacts of water scarcity and socio-economic demographics on farmer mental health in the Murray–Darling Basin’. Ecological Economics, 169(February 2019), 106564. https://doi.org/10.1016/j.ecolecon.2019.106564
  • Dhaliwal, J., Kahlon, M. S., & Kukal, S. S. (2022). Deep tillage and irrigation impact on soil water balance and water productivity of maize–wheat cropping system in north-west India. Archives of Agronomy and Soil Science, 68(2), 166–179. https://doi.org/10.1080/03650340.2020.1827235
  • Dietz, K. J., Zörb, C., & Geilfus, C. M. (2021). Drought and crop yield. Plant Biology, 23(6), 881–893. https://doi.org/10.1111/plb.13304
  • Ding, Z., Ali, E. F., Elmahdy, A. M., Ragab, K. E., Seleiman, M. F., & Kheir, A. M. S. (2021). Modeling the combined impacts of deficit irrigation, rising temperature and compost application on wheat yield and water productivity. Agricultural Water Management, 244(November 2020), 106626. https://doi.org/10.1016/j.agwat.2020.106626
  • Ding, J., Hu, W., Wu, J., Yang, Y., & Feng, H. (2020). Simulating the effects of conventional versus conservation tillage on soil water, nitrogen dynamics, and yield of winter wheat with RZWQM2. Agricultural Water Management, 230(December 2019), 105956. https://doi.org/10.1016/j.agwat.2019.105956
  • dos Santos, P. S., Becker, K. L., & de Oliveira, S. V. (2023). Race-based affirmative action for higher education in Brazil: Impact assessment on performance, time, and delay in completion. Review of Development Economics, 27(1), 247–267. https://doi.org/10.1111/rode.12923
  • Douglas, I. (2017). Ecosystems and human well-being. In Encyclopedia of the Anthropocene (Vol. 4, pp. 185–197). Island Press. https://doi.org/10.1016/B978-0-12-809665-9.09206-5
  • Elliott, J., Deryng, D., Müller, C., Frieler, K., Konzmann, M., Gerten, D., Glotter, M., Flörke, M., Wada, Y., Best, N., Eisner, S., Fekete, B. M., Folberth, C., Foster, I., Gosling, S. N., Haddeland, I., Khabarov, N., Ludwig, F., Masaki, Y., … Wisser, D. (2014). Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proceedings of the National Academy of Sciences, 111(9), 3239–3244. https://doi.org/10.1073/pnas.1222474110
  • Ferguson, C. R., Pan, M., & Oki, T. (2018). The effect of global warming on future water availability: CMIP5 synthesis. Water Resources Research, 54(10), 7791–7819. https://doi.org/10.1029/2018WR022792
  • Ganeshpa, T., Kumar, A., Roy, D., & Joshi, P. K. (2018). Impact of crop diversification on rural poverty in Nepal. Canadian Journal of Agricultural Economics, 66(3). https://doi.org/10.1111/cjag.12160
  • Guo, G., Wen, Q., & Zhu, J. (2015). The impact of aging agricultural labor population on farmland output: From the perspective of farmer preferences. Mathematical Problems in Engineering, 2015, 1–7. https://doi.org/10.1155/2015/730618
  • Gupta, A., Rico-Medina, A., & Caño-Delgado, A. I. (2020). The physiology of plant responses to drought. Science, 368(6488), 266–269. https://doi.org/10.1126/science.aaz7614
  • He, G., Wang, Z., & Cui, Z. (2020). Managing irrigation water for sustainable rice production in China. Journal of Cleaner Production, 245, 118928. https://doi.org/10.1016/j.jclepro.2019.118928
  • Hristov, J., Barreiro-Hurle, J., Salputra, G., Blanco, M., & Witzke, P. (2021). Reuse of treated water in European agriculture: Potential to address water scarcity under climate change. Agricultural Water Management, 251(January 2020), 106872. https://doi.org/10.1016/j.agwat.2021.106872
  • Huang, Y., Liu, Q., Jia, W., Yan, C., & Wang, J. (2020). Agricultural plastic mulching as a source of microplastics in the terrestrial environment. Environmental Pollution, 260, 114096. https://doi.org/10.1016/j.envpol.2020.114096
  • Huang, Z., Liu, X., Sun, S., Tang, Y., Yuan, X., & Tang, Q. (2021). Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures. Science of the Total Environment, 783, 146973. https://doi.org/10.1016/j.scitotenv.2021.146973
  • Huang, Y., Tao, B., Xiaochen, Z., Yang, Y., Liang, L., Wang, L., Jacinthe, P. A., Tian, H., & Ren, W. (2021). Conservation tillage increases corn and soybean water productivity across the Ohio River Basin. Agricultural Water Management, 254, 106962. https://doi.org/10.1016/j.agwat.2021.106962
  • Huang, Z., Yuan, X., & Liu, X. (2021). The key drivers for the changes in global water scarcity: Water withdrawal versus water availability. Journal of Hydrology, 601(June), 126658. https://doi.org/10.1016/j.jhydrol.2021.126658
  • Jing, Q., McConkey, B., Qian, B., Smith, W., Grant, B., Shang, J., Liu, J., Bindraban, P., & Luce, M. S. (2021). Assessing water management effects on spring wheat yield in the Canadian Prairies using DSSAT wheat models. Agricultural Water Management, 244(November 2020), 106591. https://doi.org/10.1016/j.agwat.2020.106591
  • Jones, E., & van Vliet, M. T. H. (2018). Drought impacts on river salinity in the southern US: Implications for water scarcity. Science of the Total Environment, 644, 844–853. https://doi.org/10.1016/j.scitotenv.2018.06.373
  • Kang, S., Hao, X., Du, T., Tong, L., Su, X., Lu, H., Li, X., Huo, Z., Li, S., & Ding, R. (2017). Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice. Agricultural Water Management, 179, 5–17. https://doi.org/10.1016/j.agwat.2016.05.007
  • Key, N. (2019). Farm size and productivity growth in the United States Corn Belt. Food Policy, 84(March), 186–195. https://doi.org/10.1016/j.foodpol.2018.03.017
  • Kistner, E., Kellner, O., Andresen, J., Todey, D., & Morton, L. W. (2018). Vulnerability of specialty crops to short-term climatic variability and adaptation strategies in the Midwestern USA. Climatic Change, 146(1–2), 145–158. https://doi.org/10.1007/s10584-017-2066-1
  • Kukal, S. S., Yadvinder-Singh, Jat, M. L., & Sidhu, H. S. (2014). Improving water productivity of wheat-based cropping systems in South Asia for sustained productivity. In Advances in Agronomy (Vol. 127, pp. 157–258). Elsevier. https://doi.org/10.1016/B978-0-12-800131-8.00004-2
  • Kurz, C. F. (2021). Augmented inverse probability weighting and the double robustness property. Medical Decision Making, 1–12. https://doi.org/10.1177/0272989X211027181
  • Kwak, D. W. (2009). Instrumental variable quantile regression method for endogenous treatment effect. The Stata Journal, 401(ii), 1–30.
  • Li, J., Ma, W., Renwick, A., & Zheng, H. (2020). The impact of access to irrigation on rural incomes and diversification: Evidence from China. China Agricultural Economic Review, 12(4), 705–725. https://doi.org/10.1108/CAER-09-2019-0172
  • Li, J., Ma, W., Wang, P., & Meng, X. (2023). Farmers’ willingness to transform untreated livestock manure into organic fertilizer: Does information technology adoption make a difference? Environment, Development and Sustainability, 0123456789. https://doi.org/10.1007/s10668-023-02920-y
  • Li, H., Mei, X., Wang, J., Huang, F., Hao, W., & Li, B. (2021). Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China. Agricultural Water Management, 244(September 2020), 106534. https://doi.org/10.1016/j.agwat.2020.106534
  • Lin, Y., Hu, R., Zhang, C., & Chen, K. (2022). The role of public agricultural extension services in driving fertilizer use in rice production in China. Ecological Economics, 200(September 2021), 107513. https://doi.org/10.1016/j.ecolecon.2022.107513
  • Liu, M., Min, S., Ma, W., & Liu, T. (2021). The adoption and impact of e-commerce in rural China: Application of an endogenous switching regression model. Journal of Rural Studies, 83, 106–116. https://doi.org/10.1016/j.jrurstud.2021.02.021
  • Liu, Y., Zhang, X., Xi, L., Liao, Y., & Han, J. (2020). Ridge–furrow planting promotes wheat grain yield and water productivity in the irrigated sub-humid region of China. Agricultural Water Management, 231(December 2018), 105935. https://doi.org/10.1016/j.agwat.2019.105935
  • Li, J., Vatsa, P., & Ma, W. (2023). Small acts with big impacts: Does garbage classification improve subjective well-being in rural China? Applied Research in Quality of Life, 0123456789. https://doi.org/10.1007/s11482-022-10142-z
  • Ma, W., Grafton, R. Q., & Renwick, A. (2020). Smartphone use and income growth in rural China: Empirical results and policy implications. Electronic Commerce Research, 20(4), 713–736. https://doi.org/10.1007/s10660-018-9323-x
  • Ma, W., Nie, P., Zhang, P., & Renwick, A. (2020). Impact of Internet use on economic well-being of rural households: Evidence from China. Review of Development Economics, 24(2), 503–523. https://doi.org/10.1111/rode.12645
  • Mano, Y., Takahashi, K., & Otsuka, K. (2020). Mechanization in land preparation and agricultural intensification: The case of rice farming in the Cote d’Ivoire. Agricultural Economics, 51(6), 899–908. https://doi.org/10.1111/agec.12599
  • Martínez-Domínguez, M., & Mora-Rivera, J. (2020). Internet adoption and usage patterns in rural Mexico. Technology in Society, 60, 101226. https://doi.org/10.1016/j.techsoc.2019.101226
  • Ma, W., & Zheng, H. (2022). Heterogeneous impacts of information technology adoption on pesticide and fertiliser expenditures: Evidence from wheat farmers in China*. Australian Journal of Agricultural and Resource Economics, 66(1), 72–92. https://doi.org/10.1111/1467-8489.12446
  • MWRC. (2020). China Water Statistical Yearbook 2020. China Water & Power Press.
  • Nguyen, T. T., Nguyen, T. T., & Grote, U. (2022). Internet use, natural resource extraction and poverty reduction in rural Thailand. Ecological Economics, 196(February), 107417. https://doi.org/10.1016/j.ecolecon.2022.107417
  • Omer, A., Elagib, N. A., Zhuguo, M., Saleem, F., & Mohammed, A. (2020). Water scarcity in the Yellow River Basin under future climate change and human activities. Science of the Total Environment, 749, 141446. https://doi.org/10.1016/j.scitotenv.2020.141446
  • Pakmehr, S., Yazdanpanah, M., & Baradaran, M. (2021). Explaining farmers’ response to climate change-induced water stress through cognitive theory of stress: An Iranian perspective. Environment, Development and Sustainability, 23(4), 5776–5793. https://doi.org/10.1007/s10668-020-00846-3
  • Parthasarathi, T., Vanitha, K., Mohandass, S., & Vered, E. (2018). Evaluation of drip irrigation system for water productivity and yield of rice. Agronomy Journal, 110(6), 2378–2389. https://doi.org/10.2134/agronj2018.01.0002
  • Paudel, G. P., Kc, D. B., Rahut, D. B., Justice, S. E., & McDonald, A. J. (2019). Scale-appropriate mechanization impacts on productivity among smallholders: Evidence from rice systems in the mid-hills of Nepal. Land Use Policy, 85(October 2018), 104–113. https://doi.org/10.1016/j.landusepol.2019.03.030
  • Qiu, T., He, Q., & Luo, B. (2021). Does land renting-out increase farmers’ subjective well-being? Evidence from rural China. Applied Economics, 53(18), 2080–2092. https://doi.org/10.1080/00036846.2020.1855315
  • Reichert, J. M., Bervald, C. M. P., Rodrigues, M. F., Kato, O. R., & Reinert, D. J. (2014). Mechanized land preparation in eastern Amazon in fire-free forest-based fallow systems as alternatives to slash. Agriculture, Ecosystems and Environment, 192, 47–60. https://doi.org/10.1016/j.agee.2014.03.046
  • Rivera, D., Godoy-Faúndez, A., Lillo, M., Alvez, A., Delgado, V., Gonzalo-Martín, C., Menasalvas, E., Costumero, R., & García-Pedrero, Á. (2016). Legal disputes as a proxy for regional conflicts over water rights in Chile. Journal of Hydrology, 535, 36–45. https://doi.org/10.1016/j.jhydrol.2016.01.057
  • Sánchez, J. A., Reca, J., & Martínez, J. (2015). Water productivity in a Mediterranean semi-arid greenhouse district. Water Resources Management, 29(14), 5395–5411. https://doi.org/10.1007/s11269-015-1125-5
  • Sanglestsawai, S., Rejesus, R. M., & Yorobe, J. M. (2014). Do lower yielding farmers benefit from Bt cornα evidence from instrumental variable quantile regressions. Food Policy, 44(January), 285–296. https://doi.org/10.1016/j.foodpol.2013.09.011
  • Silalertruksa, T., & Gheewala, S. H. (2018). Land–water–energy nexus of sugarcane production in Thailand. Journal of Cleaner Production, 182, 521–528. https://doi.org/10.1016/j.jclepro.2018.02.085
  • Surendran, U., Raja, P., Jayakumar, M., & Subramoniam, S. R. (2021). Use of efficient water saving techniques for production of rice in India under climate change scenario: A critical review. Journal of Cleaner Production, 309(July 2020), 127272. https://doi.org/10.1016/j.jclepro.2021.127272
  • Suresh, K., Khanal, U., Wilson, C., Managi, S., Quayle, A., & Santhirakumar, S. (2021). An economic analysis of agricultural adaptation to climate change impacts in Sri Lanka: An endogenous switching regression analysis. Land Use Policy, 109(June), 105601. https://doi.org/10.1016/j.landusepol.2021.105601
  • UNDP. (2022). The SDGs in action – Goal 2 – No hunger. Sustainable Development Goals.
  • Vatsa, P., Li, J., Luu, P. Q., & Botero‐R, J. C. (2022). Internet use and consumption diversity: Evidence from rural China. Review of Development Economics, August, 1–22. https://doi.org/10.1111/rode.12935
  • Wang, Y., & Hao, F. (2020). Public perception matters: Individual waste sorting in Chinese communities. Resources, Conservation and Recycling, 159(April), 104860. https://doi.org/10.1016/j.resconrec.2020.104860
  • Wang, J., Zhang, Z., & Liu, Y. (2018). Spatial shifts in grain production increases in China and implications for food security. Land Use Policy, 74, 204–213. https://doi.org/10.1016/j.landusepol.2017.11.037
  • Wang, C., Zhao, J., Feng, Y., Shang, M., Bo, X., Gao, Z., Chen, F., & Chu, Q. (2021). Optimizing tillage method and irrigation schedule for greenhouse gas mitigation, yield improvement, and water conservation in wheat–maize cropping systems. Agricultural Water Management, 248(November 2020), 106762. https://doi.org/10.1016/j.agwat.2021.106762
  • Weligamage, P., Shumway, C. R., & Blatner, K. A. (2014). Water access, farm productivity, and farm household income: Sri Lanka’s Kirindi Oya irrigation system. Agricultural Economics, 45(5), 649–661. https://doi.org/10.1111/agec.12113
  • Wen, L., Paudel, K. P., Chen, Y., & He, Q. (2021). Urban segregation and consumption inequality: Does hukou conversion matter in China? Review of Development Economics, 25(4), 2298–2322. https://doi.org/10.1111/rode.12805
  • Yang, X., Zheng, L., Yang, Q., Wang, Z., Cui, S., & Shen, Y. (2018). Modelling the effects of conservation tillage on crop water productivity, soil water dynamics and evapotranspiration of a maize–winter wheat–soybean rotation system on the Loess Plateau of China using APSIM. Agricultural Systems, 166(January), 111–123. https://doi.org/10.1016/j.agsy.2018.08.005
  • Yin, J., Guo, S., Gentine, P., Sullivan, S. C., Gu, L., He, S., Chen, J., & Liu, P. (2021). Does the hook structure constrain future flood intensification under anthropogenic climate warming? Water Resources Research, 57(2). https://doi.org/10.1029/2020WR028491
  • Yu, J., Long, A., Deng, X., He, X., Zhang, P., Wang, J., & Hai, Y. (2020). Incorporating the red jujube water footprint and economic water productivity into sustainable integrated management policy. Journal of Environmental Management, 269(September 2019), 110828. https://doi.org/10.1016/j.jenvman.2020.110828
  • Yu, Y., Wei, W., Chen, L., Feng, T., & Stefani, D. (2019). Quantifying the effects of precipitation, vegetation, and land preparation techniques on runoff and soil erosion in a Loess watershed of China. Science of the Total Environment, 652(18), 755–764. https://doi.org/10.1016/j.scitotenv.2018.10.255
  • Zhang, J., Mishra, A. K., & Zhu, P. (2021). Land rental markets and labor productivity: Evidence from rural China. Canadian Journal of Agricultural Economics, 69(1), 93–115. https://doi.org/10.1111/cjag.12247
  • Zhang, S., Wang, H., Sun, X., Fan, J., Zhang, F., Zheng, J., & Li, Y. (2021). Effects of farming practices on yield and crop water productivity of wheat, maize and potato in China: A meta-analysis. Agricultural Water Management, 243(December2019), 106444. https://doi.org/10.1016/j.agwat.2020.106444
  • Zheng, J., Fan, J., Zhang, F., Guo, J., Yan, S., Zhuang, Q., Cui, N., & Guo, L. (2021). Interactive effects of mulching practice and nitrogen rate on grain yield, water productivity, fertilizer use efficiency and greenhouse gas emissions of rainfed summer maize in northwest China. Agricultural Water Management, 248(October 2020), 106778. https://doi.org/10.1016/j.agwat.2021.106778
  • Zheng, H., & Ma, W. (2021). Smartphone-based information acquisition and wheat farm performance: Insights from a doubly robust IPWRA estimator. Electronic Commerce Research, 0123456789. https://doi.org/10.1007/s10660-021-09481-0
  • Zheng, H., Ma, W., & Li, G. (2021). Learning from neighboring farmers: Does spatial dependence affect adoption of drought-tolerant wheat varieties in China? Canadian Journal of Agricultural Economics, 69(4), 519–537. https://doi.org/10.1111/cjag.12294
  • Zheng, H., Ma, W., & Zhou, X. (2021). Renting-in cropland, machinery use intensity, and land productivity in rural China. Applied Economics, 53(47), 5503–5517. https://doi.org/10.1080/00036846.2021.1923642
  • Zheng, H., Shao, R., Xue, Y., Ying, H., Yin, Y., Cui, Z., & Yang, Q. H. (2020). Water productivity of irrigated maize production systems in Northern China: A meta-analysis. Agricultural Water Management, 234(July 2019), 106119. https://doi.org/10.1016/j.agwat.2020.106119
  • Zhu, Z., Ma, W., Sousa-Poza, A., & Leng, C. (2020). The effect of internet usage on perceptions of social fairness: Evidence from rural China. China Economic Review, 62(May), 101508. https://doi.org/10.1016/j.chieco.2020.101508
  • Zou, B., Mishra, A. K., & Luo, B. (2019). Grain subsidy, off-farm labor supply and farmland leasing: Evidence from China. China Economic Review, May, 2018, 1–16. https://doi.org/10.1016/j.chieco.2019.04.001
  • Zucchinelli, M., Spinelli, R., Corrado, S., & Lamastra, L. (2021). Evaluation of the influence on water consumption and water scarcity of different healthy diet scenarios. Journal of Environmental Management, 291(December 2020), 112687. https://doi.org/10.1016/j.jenvman.2021.112687