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Toward improving nitrogen use efficiency in rice production: the socio-economic, climatic and technological determinants of briquette urea adoption

Published online by Cambridge University Press:  08 March 2022

Asif Reza Anik
Affiliation:
Department of Agricultural Economics, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Toritseju Begho
Affiliation:
Rural Economy, Environment & Society, Scotland's Rural College, Peter Wilson Building, King's Buildings, W Mains Rd, Edinburgh EH9 3JG, UK
Shaima Chowdhury Sharna
Affiliation:
Department of Agricultural Economics, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Vera Eory
Affiliation:
Rural Economy, Environment & Society, Scotland's Rural College, Peter Wilson Building, King's Buildings, W Mains Rd, Edinburgh EH9 3JG, UK
Md. Mizanur Rahman*
Affiliation:
Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
*
Author for correspondence: Md. Mizanur Rahman, E-mail: mizan@bsmrau.edu.bd

Abstract

Deep placement of briquette urea (BU) is environmentally friendly and promotes for better nitrogen use efficiency. Nonetheless, its farm-level adoption is low. This paper contributes to the existing literature on climate-smart technology adoption by examining the factors that affect the BU adoption decision using the national representative Bangladesh Integrated Household Survey (BIHS-15) dataset consisting of 3384 rice farmers in Bangladesh. BU adoption probability is higher for farms that specialize in rice production, have more assets, use mobile phones for farming and have better access to extension services. Also, empowered women have a higher propensity to adopt BU. However, living in the feed the future zone decreases adoption probability. BU adoption probability is inversely correlated with rainfall and salinity vulnerability, while the opposite is observed for cyclone and drought vulnerability. Compared to the prilled urea (PU) users, the BU adopters applied a significantly lower amount of urea. The adopters produce more and have a relatively higher return, though the differences are insignificant. The relatively high price of BU compared to PU and the associated high labor requirement dampers the benefit of adopting the technology. Reallocation of subsidies from PU toward BU could be an effective way of promoting BU technology.

Type
Research Paper
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

Ahmed, S, Humphreys, E, Salim, M and Chauhan, BS (2016) Growth, yield and nitrogen use efficiency of dry-seeded rice as influenced by nitrogen and seed rates in Bangladesh. Field Crops Research 186, 1831.CrossRefGoogle Scholar
Alauddin, M and Sarker, MAR (2014) Climate change and farm-level adaptation decisions and strategies in drought-prone and groundwater-depleted areas of Bangladesh: an empirical investigation. Ecological Economics 106, 204213.CrossRefGoogle Scholar
Alkire, S, Meinzen-Dick, R, Peterman, A, Quisumbing, A, Seymour, G and Vaz, A (2013) The women's empowerment in agriculture index. World Development 52, 7191.CrossRefGoogle Scholar
Anik, AR and Rahman, S (2021) Women's empowerment in agriculture: level, inequality, progress, and impact on productivity and efficiency. The Journal of Development Studies 57, 930948.CrossRefGoogle Scholar
Anik, AR, Ranjan, R and Ranganathan, T (2018) Estimating the impact of salinity stress on livelihood choices and incomes in Rural Bangladesh. Journal of International Development 30, 14141438.CrossRefGoogle Scholar
Aryal, JP, Rahut, DB, Maharjan, S and Erenstein, O (2018) Factors affecting the adoption of multiple climate-smart agricultural practices in the Indo-Gangetic Plains of India. Natural Resources Forum 42, 141158.CrossRefGoogle Scholar
Aryal, JP, Sapkota, TB, Rahut, DB and Jat, ML (2020) Agricultural sustainability under emerging climatic variability: the role of climate-smart agriculture and relevant policies in India. International Journal of Innovation and Sustainable Development 14, 219245.CrossRefGoogle Scholar
Asfaw, S, Di Battista, F and Lipper, L (2016) Agricultural technology adoption under climate change in the Sahel: micro-evidence from Niger. Journal of African Economies 25, 637669.CrossRefGoogle Scholar
Bandaogo, A, Bidjokazo, F, Youl, S, Safo, E, Abaidoo, R and Andrews, O (2015) Effect of fertilizer deep placement with urea supergranule on nitrogen use efficiency of irrigated rice in Sourou Valley (Burkina Faso). Nutrient Cycling in Agroecosystems 102, 7989.CrossRefGoogle Scholar
BanDuDeltAS (2015) Baseline Report on Water Resource. Dhaka: Bangladesh Delta Plan 2100 Formulation Project, GED.Google Scholar
Bangladesh Bank (2021) Exchange rate of Taka. Bangladesh Bank, Dhaka. Available at: https://www.bb.org.bd/econdata/exchangerate.php (accessed on 25 July 2021).Google Scholar
Bauer, SE, Tsigaridis, K and Miller, R (2016) Significant atmospheric aerosol pollution caused by world food cultivation. Geophysical Research Letters 43, 53945400.CrossRefGoogle Scholar
BBS (2016) Bangladesh Disaster-Related Statistics, Climate Change and Natural Disaster Perspectives. Dhaka: Bangladesh Bureau of Statistics (BBS), Ministry of Planning, Government of the Peoples’ Republic of Bangladesh.Google Scholar
BBS (2017) Statistical Yearbook of Bangladesh 2018. Dhaka: Bangladesh Bureau of Statistics.Google Scholar
BBS (2018) Labour Force Survey Bangladesh 2016–17. Agargaon, Dhaka: Statistics Division, Bangladesh Bureau of Statistics (BBS), Ministry of Planning, Government of the People's Republic of Bangladesh.Google Scholar
BBS (2019) Statistical Yearbook of Bangladesh 2018. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS).Google Scholar
Bittinger, AK (2010) Crop Diversification and Technology Adoption: The Role of Market Isolation in Ethiopia (Doctoral dissertation). Montana State University-Bozeman, College of Agriculture, Bozeman, MT.Google Scholar
Brown, PR, Nidumolu, UB, Kuehne, G, Llewellyn, R, Mungai, O, Brown, B and Ouzman, J (2016) IAS91 – Development of the Public Release Version of Smallholder ADOPT for Developing Countries. Canberra: Australian Centre for International Agricultural Research, pp. 158.Google Scholar
BRRI (2020) Rice in Bangladesh. Rice knowledge bank. Bangladesh Rice Research Institute. Available at http://www.knowledgebank-brri.org/riceinban.php (accessed 3 January 2020).Google Scholar
Chatterjee, D, Mohanty, S, Guru, PK, Swain, CK, Tripathi, R, Shahid, M, Kumar, U, Kumar, A, Bhattacharyya, P, Gautam, P, Lal, B, Kumar, PD and Nayak, AK (2018) Comparative assessment of urea briquette applicators on greenhouse gas emission, nitrogen loss and soil enzymatic activities in tropical lowland rice. Agriculture, Ecosystems & Environment 252, 178190.CrossRefGoogle Scholar
Chigona, W and Licker, P (2008) Using diffusion of innovations framework to explain communal computing facilities adoption among the urban poor. Information Technologies & International Development 4, 57.CrossRefGoogle Scholar
Cooper, PJM, Dimes, J, Rao, KPC, Shapiro, B, Shiferaw, B and Twomlow, S (2008) Coping better with current climatic variability in the rain-fed farming systems of sub-Saharan Africa: an essential first step in adapting to future climate change? Agriculture, Ecosystems & Environment 126, 2435.CrossRefGoogle Scholar
Croson, R and Gneezy, U (2009) Gender differences in preferences. Journal of Economic Literature 47, 448474.CrossRefGoogle Scholar
CTC-N (2021) Urea Deep Placement (UDP) Technique. Climate Technology Centre and Network (CTC-N). Available at https://www.ctc-n.org/products/urea-deep-placement-udp-technique (accessed 9 February 2021).Google Scholar
DAE (2017) Annual Report 2016-17. Department of Agricultural Extension, Ministry of Agriculture. Dhaka: Government of Bangladesh.Google Scholar
DAE (2020) Climate Vulnerable Risk Maps of Bangladesh. Dhaka: Bangladesh Agro-Meteorological Information Portal, Agro-Meteorological Information Systems Development Project, Department of Agricultural Extension, Ministry of Agriculture.Google Scholar
Dang, HL, Li, E, Nuberg, I and Bruwer, J (2019) Factors influencing the adaptation of farmers in response to climate change: a review. Climate and Development 11, 765774.CrossRefGoogle Scholar
Edwards-Jones, G (2006) Modelling farmer decision-making: concepts, progress and challenges. Animal Science 82, 783790.CrossRefGoogle Scholar
Eisenack, K and Stecker, R (2012) A framework for analyzing climate change adaptations as actions. Mitigation and Adaptation Strategies for Global Change 17, 243260.CrossRefGoogle Scholar
Erisman, JW, Sutton, MA, Galloway, JN, Klimont, Z and Winiwarter, W (2008) How a century of ammonia synthesis changed the world. Nature Geoscience 1, 636639.CrossRefGoogle Scholar
FAO (2011) The State of Food and Agriculture. Women in Agriculture: Closing the gap for Development. Rome: FAO.Google Scholar
FAO (2014) FAO success stories on climate-smart agriculture. Food and Agriculture Organisation (FAO). Available at http://www.fao.org/3/a-i3817e.pdf.Google Scholar
FAO (2018) Climate-Smart Agriculture. Available at http://www.fao.org/3/a-i3817e.pdf (accessed 13 July 2021).Google Scholar
FAOSTAT (2020) Food and Agriculture Organisation (FAO). Available at http://www.fao.org/faostat/en/#data/RFN (accessed 9 January 2020).Google Scholar
FtF (2020) The U.S. Government's global hunger & food security initiative. Available at https://www.feedthefuture.gov/country/bangladesh/.Google Scholar
Funk, C, Dettinger, MD, Michaelsen, JC, Verdin, JP, Brown, ME, Barlow, M and Hoell, A (2008) Warming of the Indian Ocean threatens eastern and southern African food security but could be mitigated by agricultural development. Proceedings of the National Academy of Sciences 105, 1108111086.CrossRefGoogle ScholarPubMed
Gaihre, YK, Singh, U, Islam, SM, Huda, A, Islam, MR, Satter, MA, Sanabria, J, Islam, MR and Shah, AL (2015) Impacts of urea deep placement on nitrous oxide and nitric oxide emissions from rice fields in Bangladesh. Geoderma 259, 370379.CrossRefGoogle Scholar
Goosen, H, Hasan, T, Saha, SK, Rezwana, N, Rahman, R, Assaduzzaman, M, Ashraful Kabir, A, Dubois, G and van Scheltinga, CT (2018) Nationwide Climate Vulnerability Assessment in Bangladesh. Final Draft. Dhaka:Ministry of Environment, Forest & Climate Change.Google Scholar
Gregory, DI, Haefele, SM, Buresh, RJ and Singh, U (2010) Fertilizer use, markets, and management. In Pandey, S, Byerlee, D, Dawe, D, Achim Dobermann, A, Mohanty, S, Rozelle, S and Bill Hardy, B (eds), Rice in the Global Economy. Strategic Research and Policy Issues for Food Security. Los Banos, Philippines: International Rice Research Institute, pp. 231263.Google Scholar
Haque, MM, Kabir, MH and Nishi, NA (2016) Determinants of rice farmers’ adoption of integrated pest management practices in Bangladesh. Journal of Experimental Agriculture International 14, 16.CrossRefGoogle Scholar
Hasan, MK and Kumar, L (2020) Perceived farm-level climatic impacts on coastal agricultural productivity in Bangladesh. Climatic Change 161, 617636.CrossRefGoogle Scholar
Hossain, MA, Ahmed, M, Ojea, E and Fernandes, JA (2018) Impacts and responses to environmental change in coastal livelihoods of south-west Bangladesh. Science of the Total Environment 637, 954970.CrossRefGoogle ScholarPubMed
Houser, M and Stuart, D (2020) An accelerating treadmill and an overlooked contradiction in industrial agriculture: climate change and nitrogen fertilizer. Journal of Agrarian Change 20, 215237.CrossRefGoogle Scholar
Huda, A, Gaihre, YK, Islam, MR, Singh, U, Islam, MR, Sanabria, J, Satter, MA, Afroz, H, Halder, A and Jahiruddin, M (2016) Floodwater ammonium, nitrogen use efficiency and rice yields with fertilizer deep placement and alternate wetting and drying under triple rice cropping systems. Nutrient Cycling in Agroecosystems 104, 5366.CrossRefGoogle Scholar
IPCC (2013) Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In Stocker, TF, Qin, D, Plattner, G-K, Tignor, M, Allen, SK, Boschung, J, Nauels, A, Xia, Y, Bex, V and Midgley, PM (eds), Climate Change 2013: The Physical Science Basis. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press, pp. 11552.Google Scholar
IPCC (2014) Synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. In Pachauri, RK and Meyer, LA (eds), Climate Change 2014: Synthesis Report. Geneva, Switzerland: Intergovernmental Panel on Climate Change, p. 151.Google Scholar
Kapoor, V, Singh, U, Patil, SK, Magre, H, Shrivastava, LK, Mishra, VN, Das, RO, Samadhiya, VK, Sanabria, J and Diamond, R (2008) Rice growth, grain yield, and floodwater nutrient dynamics as affected by nutrient placement method and rate. Agronomy Journal 100, 526536.CrossRefGoogle Scholar
Karanasios, STAN (2011) New & Emergent ICTs and Climate Change in Developing Countries. Manchester, UK: Center for Development Informatics. Institute for Development Policy and Management, SED. University of Manchester.Google Scholar
Khanal, U, Wilson, C, Lee, BL and Hoang, VN (2018) Climate change adaptation strategies and food productivity in Nepal: a counterfactual analysis. Climatic Change 148, 575590.CrossRefGoogle Scholar
Kurgat, BK, Lamanna, C, Kimaro, A, Namoi, N, Manda, L and Rosenstock, TS (2020) Adoption of climate-smart agriculture technologies in Tanzania. Frontiers in Sustainable Food Systems 4, 55.CrossRefGoogle Scholar
Lassaletta, L, Billen, G, Grizzetti, B, Anglade, J and Garnier, J (2014) 50 year trends in nitrogen use efficiency of world cropping systems: the relationship between yield and nitrogen input to cropland. Environmental Research Letters 9, 105011.CrossRefGoogle Scholar
Lobell, DB, Burke, MB, Tebaldi, C, Mastrandrea, MD, Falcon, WP and Naylor, RL (2008) Prioritizing climate change adaptation needs for food security in 2030. Science (New York, N.Y.) 319, 607610.CrossRefGoogle ScholarPubMed
Maas, A, Wardropper, C, Roesch-McNally, G and Abatzoglou, J (2020) A (mis)alignment of farmer experience and perceptions of climate change in the US inland Pacific Northwest. Climatic Change 162, 10111029.CrossRefGoogle Scholar
Marschner, P (2011) Mineral Nutrition of Higher Plants, 3rd Edition. London: Academic Press.Google Scholar
Martinez-Baron, D, Orjuela, G, Renzoni, G, Rodríguez, AML and Prager, SD (2018) Small-scale farmers in a 1.5 C future: the importance of local social dynamics as an enabling factor for implementation and scaling of climate-smart agriculture. Current Opinion in Environmental Sustainability 31, 112119.CrossRefGoogle Scholar
Mertz, OMC, Reenberg, A, Genescio, L, Lambin, EF, D'haen, S, Zorom, M, Rasmussen, K, Diallo, D, Barbier, B, Moussa, IB, Diouf, A, Nielsen, and Sandholt, I (2011) Adaptation strategies and climate vulnerability in the Sudano-Sahelian region of West Africa. Atmospheric Science Letters 12, 104108.CrossRefGoogle Scholar
Miah, MMA, Gaihre, YK, Hunter, G, Singh, U and Hossain, SA (2016) Fertilizer deep placement increases rice production: evidence from farmers’ fields in southern Bangladesh. Agronomy Journal 108, 805812.CrossRefGoogle Scholar
MoDMR (2013) Vulnerability to Climate Induced Drought: Scenario and Impact. Dhaka: Comprehensive Disaster Management Program (CDMP II), Ministry of Disaster Management and Relief (MoDMR).Google Scholar
MoF (2018) Bangladesh Economic Review 2018. Dhaka: Ministry of Finance.Google Scholar
Neupane, RP, Sharma, KR and Thapa, GP (2002) Adoption of agroforestry in the hills of Nepal: a logistic regression analysis. Agricultural Systems 72, 177196.CrossRefGoogle Scholar
Onyeneke, RU, Iruo, FA and Ogoko, IM (2012) Microlevel analysis of determinants of farmers’ adaptation measures to climate change in the Niger Delta Region of Nigeria: lessons from Bayelsa State. Nigerian Journal of Agricultural Economics 3, 918.Google Scholar
Onyeneke, RU, Igberi, CO, Uwadoka, CO and Aligbe, JO (2018) Status of climate-smart agriculture in southeast Nigeria. GeoJournal 83, 333346.CrossRefGoogle Scholar
Prokopy, LS, Floress, K, Arbuckle, JG, Church, SP, Eanes, FR, Gao, Y, Gramig, BM, Ranjan, P and Singh, AS (2019) Adoption of agricultural conservation practices in the United States: evidence from 35 years of quantitative literature. Journal of Soil and Water Conservation 74, 520.CrossRefGoogle Scholar
Rahman, S (2000) Women's employment in Bangladesh agriculture: composition, determinants, and scope. Journal of Rural Studies 16, 497507.CrossRefGoogle Scholar
Rahman, S (2016) Impacts of climate change, agroecology and socio-economic factors on agricultural land use diversity in Bangladesh (1948–2008). Land Use Policy 50, 169178.CrossRefGoogle Scholar
Rahmanian, N, Naderi, S, Supuk, E, Abbas, R and Hassanpour, A (2015) Urea finishing process: prilling versus granulation. Procedia Engineering 102, 174181.CrossRefGoogle Scholar
Reid, S, Smit, B, Caldwell, W and Belliveau, S (2007) Vulnerability and adaptation to climate risks in Ontario agriculture. Mitigation and Adaptation Strategies for Global Change 12, 609637.CrossRefGoogle Scholar
Rogers, EM (2010) Diffusion of Innovations, 4th edition. New York: Simon and Schuster.Google Scholar
Rola-Rubzen, MF, Paris, T, Hawkins, J and Sapkota, B (2020) Improving gender participation in agricultural technology adoption in Asia: from rhetoric to practical action. Applied Economic Perspectives and Policy 42, 113125.CrossRefGoogle Scholar
Semenov, MA and Porter, JR (1995) Non-linearity in climate change impact assessments. Journal of Biogeography 2, 597600.CrossRefGoogle Scholar
Shahid, S and Behrawan, H (2008) Drought risk assessment in the western part of Bangladesh. Natural Hazards 46, 391413.CrossRefGoogle Scholar
Sharna, SC, Kamruzzaman, M and Anik, AR (2020) Determinants of improved chickpea variety adoption in high Barind region of Bangladesh. International Journal of Agricultural Research, Innovation and Technology 10, 5663.CrossRefGoogle Scholar
Sheikh, AD, Rehman, T and Yates, CM (2003) Logit models for identifying the factors that influence the uptake of new ‘no-tillage’ technologies by farmers in the rice–wheat and the cotton–wheat farming systems of Pakistan's Punjab. Agricultural Systems 75, 7995.CrossRefGoogle Scholar
Shelomi, M (2015) Why we still don't eat insects: assessing entomophagy promotion through a diffusion of innovations framework. Trends in Food Science & Technology 45, 311318.CrossRefGoogle Scholar
Sutton, MA, Bleeker, A, Howard, CM, Bekunda, M, Grizzetti, B, de Vries, W, van Grinsven, HJM, Abrol, YP, Adhya, TK, Billen, G, Davidson, EA, Datta, A, Diaz, R, Erisman, JW, Liu, XJ, Oenema, O, Palm, C, Raghuram, N, Reis, S, Scholz, RW, Sims, T, Westhoek, H and Zhang, FS, with contributions from Ayyappan, S, Bouwman, AF, Bustamante, M, Fowler, D, Galloway, JN, Gavito, ME, Garnier, J, Greenwood, S, Hellums, DT, Holland, M, Hoysall, C, Jaramillo, VJ, Klimont, Z, Ometto, JP, Pathak, H, Plocq Fichelet, V, Powlson, D, Ramakrishna, K, Roy, A, Sanders, K, Sharma, C, Singh, B, Singh, U, Yan, XY and Zhang, Y (2013) Our Nutrient World: The Challenge to Produce More Food and Energy with Less Pollution. Edinburgh: Global Overview of Nutrient Management. Centre for Ecology and Hydrology, Edinburgh on behalf of the Global Partnership on Nutrient Management and the International Nitrogen Initiative.Google Scholar
Tang, L, Zhou, J, Bobojonov, I, Zhang, Y and Glauben, T (2018) Induce or reduce? The crowding-in effects of farmers’ perceptions of climate risk on chemical use in China. Climate Risk Management 20, 2737.CrossRefGoogle ScholarPubMed
Wang, H, Ju, X, Wei, Y, Li, B, Zhao, L and Hu, K (2010) Simulation of bromide and nitrate leaching under heavy rainfall and high-intensity irrigation rates in North China Plain. Agricultural Water Management 97, 16461654.CrossRefGoogle Scholar
West, PC, Gerber, JS, Engstrom, PM, Mueller, ND, Brauman, KA, Carlson, KM, Cassidy, ES, Johnston, M, MacDonald, GK, Ray, DK and Siebert, S (2014) Leverage points for improving global food security and the environment. Science (New York, N.Y.) 345, 325.CrossRefGoogle ScholarPubMed
Wijngaard, RR, Lutz, AF, Nepal, S, Khanal, S, Pradhananga, S, Shrestha, AB and Immerzeel, WW (2017) Future changes in hydro-climatic extremes in the Upper Indus, Ganges, and Brahmaputra River basins. PLoS One 12, e0190224.CrossRefGoogle ScholarPubMed
Wood, SA, Jina, AS, Jain, M, Kristjanson, P and DeFries, RS (2014) Small holder farmer cropping decisions related to climate variability across multiple regions. Global Environmental Change 25, 163172.CrossRefGoogle Scholar
Yoder, L, Houser, M, Bruce, A, Sullivan, A and Farmer, J (2021) Are climate risks encouraging cover crop adoption among farmers in the southern Wabash River Basin? Land Use Policy 102, 105268.CrossRefGoogle Scholar