| Literature DB >> 34972112 |
Indrani Saha1, Alvaro Durand-Morat1, Lawton Lanier Nalley1, Mohammad Jahangir Alam2, Rodolfo Nayga3.
Abstract
Rice market efficiency is important for food security in countries where rice is a staple. We assess the impact of rice quality on rice prices, food security, and environmental sustainability in Bangladesh. We find that while price varies as expected for most quality attributes, it is unaffected by a broken percentage below 24.9 percent. This reveals a potential inefficiency, considering the average 5 percent broken rate observed in the market. An increase in the broken rate of milled rice within the limits supported by our findings can, ceteris paribus, increase rice rations by 4.66 million a year, or conversely, yield the current number of rice rations using 170.79 thousand fewer hectares and cutting emissions by 1.48 million metric tons of CO2 equivalent. Thus, producing rice based on quality assessment can improve food security and its sustainability.Entities:
Mesh:
Year: 2021 PMID: 34972112 PMCID: PMC8719737 DOI: 10.1371/journal.pone.0261118
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Descriptive statistics of the retail price of rice and selected rice quality attributes for 300 milled rice samples.
| Variable | Mean | Std. Dev. | Min. | Max. | Expected signs |
|---|---|---|---|---|---|
| Price (BDT/kg) | 63.84 | 11.32 | 44.00 | 100.00 | |
| Broken percentage | 5.35 | 7.07 | 0.43 | 46.15 | - |
| Chalk percentage | 12.56 | 22.13 | 0.00 | 89.56 | - |
| Color | 68.76 | 5.27 | 56.86 | 79.61 | + |
| Length (mm) | 5.07 | 0.55 | 3.75 | 6.20 | |
| Width (mm) | 1.98 | 0.29 | 1.56 | 2.63 | |
| LWR | 2.62 | 0.51 | 1.59 | 3.90 | + |
†. 1 USD = 84.787 BDT (average exchange rate in July 2021)
Mean value of retail price and selected rice quality attributes by markets.
| Variable | Markets (income level) | P-Value | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 (high) | 2 (high) | 1 (high) | 4 (mid) | 5 (mid) | 6 (mid) | 9 (low) | 8 (low) | 10 (low) | 7 (low) | ||
| Price (BDT/kg) | 72.77a | 69.30ab | 68.30 abc | 65.43bc | 64.36 c | 63.66c | 60.77 d | 59.47d | 57.50 d | 56.87d | 0.000 |
| Broken percentage | 3.75 a | 4.53cd | 5.42 e | 4.02b | 6.25 h | 5.95f | 4.06 c | 8.11i | 6.03 g | 5.35d | 0.096 |
| Chalk percentage | 12.35 | 14.37 | 10.78 | 13.29 | 12.66 | 12.31 | 14.11 | 13.17 | 12.11 | 10.42 | 0.848 |
| Color | 69.67 | 69.23 | 68.80 | 68.95 | 68.90 | 67.39 | 68.89 | 69.35 | 68.20 | 68.21 | 0.825 |
| Length (mm) | 5.04 | 5.07 | 5.06 | 5.06 | 4.98 | 5.04 | 5.10 | 5.07 | 5.13 | 5.15 | 0.979 |
| Width (mm) | 1.92 | 1.93 | 1.93 | 1.99 | 1.97 | 1.97 | 1.96 | 2.05 | 1.99 | 2.06 | 0.217 |
| LWR | 2.70 | 2.71 | 2.70 | 2.61 | 2.59 | 2.61 | 2.64 | 2.53 | 2.61 | 2.53 | 0.867 |
* Market variables 1 through 10 correspond to the following neighborhoods (1) Dhanmondi (high income), (2) Gulshan (high income), (3) Mohammadpur (high income), (4) Farmgate/Tejgaon (middle income), (5) Mirpur (middle income), (6) Agargaon Taltola (middle income), (7) Thathari Bazar/Old Dhaka (low income), (8) Jatrabari (low income), (9) Adabor (low income), and (10) Khilgaon (low income).
† For the P-value (Kruskal-Wallis test),
***, **, * represent 1%, 5%, and 10% significance level.
‡ Dunn’s test for difference in means across markets; different letters mean statistical difference across markets at the 5% level.
Pure hedonic model of milled rice price as a function of selected rice quality attributes in Bangladesh.
| Log_price (BDT/kg) | Mode 1—No fixed effects | Model 2—Market fixed effects | ||||
|---|---|---|---|---|---|---|
| Coefficient | Std. Error | P-Value | Coefficient | Std. Error | P-Value | |
| Constant | 2.136 | 0.726 | 0.004*** | 2.536 | 0.657 | 0.000*** |
| Broken percentage 1 (%) | 0.000 | 0.002 | 0.960 | 0.003 | 0.003 | 0.278 |
| Broken percentage 2 (%) | -0.002 | 0.001 | 0.043** | -0.002 | 0.001 | 0.075* |
| Chalk percentage (%) | -0.002 | 0.001 | 0.009*** | -0.001 | 0.001 | 0.008*** |
| Color | 0.412 | 0.177 | 0.021** | 0.319 | 0.159 | 0.045** |
| LWR | 0.224 | 0.056 | 0.000*** | 0.230 | 0.042 | 0.000*** |
| Homogeneity (binary) | 0.154 | 0.019 | 0.000*** | 0.139 | 0.017 | 0.000*** |
| Double-boil (binary) | -0.023 | 0.024 | 0.349 | -0.025 | 0.021 | 0.241 |
| Single-boil (binary) | -0.037 | 0.032 | 0.243 | -0.029 | 0.028 | 0.3294 |
| Market 2 (binary) | 0.014 | 0.033 | 0.7675 | |||
| Market 3 (binary) | 0.054 | 0.037 | 0.143 | |||
| Market 4 (binary) | -0.028 | 0.035 | 0.423 | |||
| Market 5 (binary) | -0.045 | 0.032 | 0.165 | |||
| Market 6 (binary) | -0.062 | 0.030 | 0.037** | |||
| Market 7 (binary) | -0.151 | 0.032 | 0.000*** | |||
| Market 8 (binary) | -0.117 | 0.038 | 0.002*** | |||
| Market 9 (binary) | -0.121 | 0.037 | 0.001*** | |||
| Market 10 (binary) | -0.150 | 0.035 | 0.000*** | |||
| Observation | 300 | 300 | ||||
| F | 34.18 | 21.81 | ||||
| Adjusted R-squared | 0.340 | 0.461 | ||||
† Market variables 2 through 10 correspond to the following neighborhoods (2) Gulshan (high income), (3) Mohammadpur (high income), (4) Farmgate/Tejgaon (middle income), (5) Mirpur (middle income), (6) Agargaon Taltola (middle income), (7) Thathari Bazar/Old Dhaka (low income), (8) Jatrabari (low income), (9) Adabor (low income), and (10) Khilgaon (low income). Dhanmondi (high income) is the benchmark market.
‡ ***, **, * represent 1%, 5%, and 10% significance level.
Fig 1Marginal price effect of the rice quality attributes with a statistically significant effect.
Volume (in thousand metric tons) of milled produced and broken rice used, rice rations produced, and harvested area saved based on the quality of milled rice produced by modern mills assuming a quality of 52.5/70.
| Milled Rice Quality (% broken) | Milled Rice Production | Broken Rice Use | Broken Rice Surplus | Rations produced (million) | Area saved |
|---|---|---|---|---|---|
| 25% | 3,196 | 799 | 0 | 22.12 | 170.79 |
| 15% | 2,820 | 423 | 376 | 19.52 | 85.39 |
| 10% | 2,664 | 266 | 533 | 18.43 | 42.70 |
| 5% | 2,523 | 126 | 673 | 17.46 | 0.00 |
† The production of milled rice and use of broken rice follows the assumption that modern mills process 2.28 MMT of 52.5/70 paddy rice a year.
‡ The rations produced are estimated using an average per-capita consumption of 144.5 kg/year [5].
€ The area saved is estimated as the difference between the area needed to produce same number of rations obtained with 5% broken, considering an average rice yield of 4.44 MT/hectare in 2016–2019 [3], and a milling rate of 70% as implied by a 52.5/70 paddy rice.
Volume (in thousand metric tons) of milled produced and broken rice used, rice rations produced, and harvested area saved based on the milled rice produced by modern mills assuming a quality of 55/70.
| Milled Rice Quality (% broken) | Milled Rice Production | Broken Rice Use | Broken Rice Surplus | Rations produced (million) | Area saved |
|---|---|---|---|---|---|
| 21.4% | 3196 | 685 | 0 | 22.12 | 146.97 |
| 15% | 2955 | 443 | 242 | 20.45 | 89.46 |
| 10% | 2790 | 279 | 406 | 19.31 | 44.73 |
| 5% | 2644 | 132 | 553 | 18.29 | 0.00 |
† The production of milled rice and use of broken rice follows the assumption that modern mills process 2.28 MMT of 55/70 paddy rice a year.
‡ The rations produced are estimated using an average per-capita consumption of 144.5 kg/year [5].
€ The area saved is estimated as the difference between the area needed to produce same number of rations obtained with 5% broken, considering an average rice yield of 4.44 MT/hectare in 2016–2019 [3], and a milling rate of 70% as implied by a 55/70 paddy rice.