Understanding the economic implications of staple food trade restrictions on import-dependent, low-income countries is critical for food security and poverty alleviation. In this study, we investigate the effect of COVID-19-related export restrictions on rice market in a low-income country, Benin. The equilibrium displacement modelling approach is used. The results suggest that the pandemic related trade restrictions implemented by the major rice exporting countries reduced the quantity of rice imported and consumed in Benin while increased the domestic rice production. The results also reveal that the COVID-19-related trade restrictions increased the price of rice in Benin. This study highlights the vulnerability of import dependent low-income countries to trade restrictions implemented in the rice exporting countries.
The coronavirus pandemic (COVID-19) has reminded us how all countries are connected as one global community. With no major warnings at its onset in China, COVID-19 pandemic fast became one the worst health crisis in world history 1. The economic costs of the pandemic globally are estimated at USD 8.5 trillion with a projected substantial increase in extreme poverty 2. In Africa, the first case of COVID-19 was recorded in Egypt on February 14, 2020, and rapidly spread to all other countries on the continent 3, 4. Although the number of reported cases in Africa was low, the continent was projected to be hard hit by the pandemic due to its fragile health system, limited social protection schemes, and the prevalence of poverty 5.
The objective of this paper is to estimate the economic effect of COVID-19-related export restrictions implemented by major rice-exporting countries on rice market in an import dependent, low-income country— Benin. This is critical for several reasons. First, food security remains a challenge in Africa, and rice represents an important commodity for millions of households 6. Understanding the economic implications of trade restriction policies in exporting countries on staple food market in import dependent, low-income countries is critical for food security and poverty alleviation. Second, although the impacts of COVID-19 on developed countries have been well-documented 7, 8, 9, 10, 11, little is known on low-income countries. Most of the existing estimates of COVID-19 impacts on low-income countries including Africa are based on policy opinions 5, 6, 12 and simulations results 13, 14. Third, Benin represents an ideal case-study to quantify the economic impact of COVID-19-related export restrictions on developing countries because it is a low-income country with an important size of the population under food insecurity.
Rice is a staple food in West Africa with imports providing about 30% of regional rice consumption and above 70% of domestic consumption in countries such as Benin, Burkina-Faso, Gambia, and Niger 15. This high dependence of the region on imports highlights the vulnerability of the region to international trade. Thus, any changes in rice exports to West-Africa may have vital implications in terms of food security, social, and economic stability.
In response to the economic costs of COVID-19 and its potential adverse effects on food stocks, several countries, including major rice exporters (e.g., India, Thailand, Vietnam) have imposed restrictions on rice exports 16. The extent to which these restrictions have impacted the rice market in import dependent low-income countries is yet to be understood. This is vital for informed decision making and preparedness.
The next section presents a graphical analysis, the theoretical model, and model calibration. Next, we present the results and discussion. The paper concludes with a summary of key findings and policy implications.
The effects of COVID-19-related export restrictions implemented by major rice-exporting countries on the rice market in Benin can be explained with the aid of Figure 1. In this figure, we abstract from complexities such as product differentiation and imperfect competition. Panel (a) shows the rice market in Benin. Panel (b) shows the rice import market. The demand curve (D) and the supply curve (S) represent the demand and domestic production of rice in Benin, respectively (Panel a). The demand curve (D) is the horizontal sum of the individual rice demand functions in Benin. Similarly, the supply curve (S) is the horizontal sum of the individual rice supply functions in Benin.
The intersection of the demand curve (D) and the supply curve (S) determines the price of rice in Benin under a closed economy. The market curves () and (M) represent the excess supply of rice from the exporting countries and Benin’s rice import demand, respectively (Panel b). The excess supply curve of rice (
) is the horizontal difference between the rice supply and demand in the exporting countries while Benin’s import demand curve for rice (M) is the horizontal difference between the production and consumption of rice in Benin. The intersection of the rice excess supply (
) and demand (M) curves determines the initial price of rice in the import market when no COVID-19-related export restriction is enacted in the exporting countries. The price of rice on the import market is lower than the price of rice in Benin in a closed economy. When trade occurs with no COVID-19-related rice export restrictions, the price of rice (
on the import market is available to all buyers and producers in Benin. At this price (
, the production and consumption of rice in Benin are
and
. Under COVID-19-related export restrictions, the excess supply curve of rice (
) shifts to the left due to the reduction in rice exports from the exporting countries. (
) represents the excess supply of rice under the COVID-19-related export restrictions. This reduction in rice exports raises the price of rice in Benin (
. At this price (
, rice consumption in Benin decreases due to the reduction in rice imports, while the supply of rice increases because of the higher price.
A formal analysis of the impact of COVID-19-related export restrictions on Benin’s rice market is provided here using a set of demand and supply framework. This framework has been used in the areas of agricultural economics 17, 18, 19, 20, forest economics 21, 22, 23, 24, wildlife economics 25, and energy economics 24. A key strength of this framework is its consistency with economic theory and the generation of relevant hypotheses. The demand curve () is assumed to be a function of the price of rice
in Benin and describes the behavior of rice consumers in Benin. The demand for rice is a decreasing function of its own price (
) —an increase in the price of rice decreases the quantity of rice demanded. The supply curve (
) represents the behavior of producers of domestic rice in Benin and is assumed to be a function of its own price. The supply curve for rice is upward sloping (
) — an increase in the price of rice increases the quantity of rice supplied. Benin is a net importing country of rice from the world with an import demand (
) from the world defined as a function of the price of rice in Benin. COVID-19-related exports restriction in rice major exporting countries is defined as an import supply shift variable that reduced rice exports to Benin. The model assumes that rice is a homogenous commodity, and in the equilibrium the law of one price holds. Equations (1) – (4) present the structural equations defining rice market in Benin.
Benin demand for rice (1)
Benin domestic production for rice (2)
Import supply of rice to Benin (3)
Market clearing conditions (4)
To identify the impact of COVID-19-related export restriction on rice market in Benin, we convert the above equations in proportionate changes.
(
) (5)
(
) (6)
(
) (7)
(8)
where and
is the share of rice consumption from the
th source.
and
are the elasticities of demand and supply, respectively.
Next, we solve for Benin import demand for rice from the world using Equations (5), (6), and (8):
![]() | (9) |
where . Benin import demand function is downward sloping as expected (
).
![]() | (10) |
where . COVID-19 exports restriction increased the price of rice in Benin, as less rice is imported. Furthermore, the price effect of COVID-19-related export restrictions depend on the import demand and supply elasticities.
![]() | (11) |
![]() | (12) |
![]() | (13) |
Equations (11), (12), and (13) show the effect of COVID-19-related export restrictions from the trade partners on Benin rice imports, domestic production, and consumption. Particularly, COVID-19 trade restrictions reduced both rice import and consumption in Benin as imports account for a substantial share of rice consumption in the country. However, the production of domestic rice increased. This could be explained for two reasons. First, the exports restriction decreased imports. Second, with the fall in import supply from exporting countries, the price of rice in Benin is higher providing more incentive to domestic rice producers to increase production. Table 1. summarizes the reduced form elasticities of the effect of COVID-19-related export restrictions implemented by exporting countries on the rice market in Benin.
The parameters for the reduced form elasticities estimation are usually taken from the literature 18, 24, 26. Codjo et al. 25 estimated the price elasticity of demand for high and standard quality domestic rice in Benin at –2.90 and -3.01, respectively. Thus, the demand elasticity of rice is set at -2.95. Codjo et al. 27 also estimated the price elasticity of demand for imported rice in Benin at -4.65. The price elasticity of supply of Benin domestic rice is set at 0.65{1}. In 2020, Benin imports of rice decreased by 42 percent (Table 2). Thus, the shift parameter of COVID-19 trade restrictions on rice import supply is set at -0.42. The import supply elasticity is set at 1.30{2}. Table 3 summarizes the parameters definition.
The above approach assumes that the model parameters are known with certainty. However, to account for possible uncertainty associated with the parameters, the stochastic simulation is also used for the estimation of the reduced form elasticities. Particularly, the demand price elasticity, import demand price elasticity, domestic supply price elasticity, and import supply price elasticity are assumed to follow a triangular distribution with the minimum, most likely, and maximum values given in square brackets [.]:
![]() |
![]() |
![]() |
![]() |
In 2020, Benin imported 883,009 tons of rice consumption which accounted for 68.21 percent of rice consumption in the country (Table 3). Hence, we set the shares of rice consumption in Benin from domestic and import sources at 0.32 and 0.68, respectively.
Rice imports represent a major source of rice consumption in Benin (Table 3). In both 2019 and 2020, Benin’s domestic rice production covered less than 30 percent of the rice consumption in the country. India, Thailand, United Arab Emirates, Pakistan, and Singapore were the largest exporters of rice to Benin in both 2019 and 2020 (Table 4).
Table 5 presents the estimates of the reduced form elasticities of the effect of COVID-19-related export restrictions implemented by the major rice exporters on rice market in Benin using the deterministic approach. The deterministic approach assumes that the model parameters are known with certainty. The results revealed that COVID-19-related trade restrictions decreased rice imports in Benin by 39 percent and rice consumption by 24 percent. As for the domestic rice production in Benin, COVID-19-related trade restrictions increased rice production in Benin by 5 percent while increased the price of rice by 8 percent.
Table 6 presents the effect of COVID-19-related export restrictions on the rice market in Benin using the stochastic approach. This approach accounts for the uncertainty in the model parameters. The mean and 95% confidence intervals are generated from 1000 random draws from a triangular distribution. The results in the stochastic approach are consistent with those in the deterministic approach. That is, COVID-19-related export restrictions decreased the quantity of rice imported and consumed in Benin while induced an increase in the quantity of domestic rice produced. Similarly, the price of rice increased in Benin due to the export restrictions implemented in the rice exporting countries.
In this paper, we analyze the impact of COVID-19-related export restrictions on rice market in Benin. We used the equilibrium displacement modelling framework. The reduced form model indicates that COVID-19 related trade restrictions decreased the quantity of rice imported and consumed in Benin while increased domestic rice production. As for the price effect, COVID-19-related export restrictions increased the price of rice in Benin. Using both the deterministic and stochastic approaches, the results suggest that COVID-19 export restrictions imposed by rice exporting countries decreased the quantity of rice imported in Benin by 39 percent while the domestic production of rice increased by 6 percent. Overall, rice consumption in Benin decreased by 24 percent. The price effect of COVID-19-related export restrictions is estimated at 8 percent.
{1}. From Equation (9), .
{2}. This value assumes that Benin is a small country on the global rice import market with a negligeable market power—that is Benin faces an elastic import supply curve for rice from the world.
[1] | Huynh, T. L. (2020). The COVID-19 risk perception: A survey on socioeconomics and media attention. Econ. Bull, 40(1), 758-764. | ||
In article | |||
[2] | UN DESA (2020). United Nations (UN) Department of Economic and Social Affairs (DESA). COVID-19 to slash global economic output by $8.5 trillion over next two years. https:// www.un.org/ development/desa/en/news/policy/wesp-mid-2020-report.html. | ||
In article | |||
[3] | Anyanwu, J. C., & Salami, A. O. (2021). The impact of COVID‐19 on African economies: An introduction. African Development Review, 33(Suppl 1), S1. | ||
In article | View Article PubMed | ||
[4] | Munyemana, E., Mung’atu, J., & Ruranga, C. (2024). Analysis of Effects of COVID-19 Pandemic on Small-and Medium-Sized Enterprises (SMEs) in Rwanda Using Wood Firm-Level Data. Economies, 12(8), 203. | ||
In article | View Article | ||
[5] | Ataguba, J. E. (2020). COVID-19 Pandemic, a War to be Won: Understanding its Economic Implications for Africa. Applied Health Economics and Health Policy, 18(3), 325-328. | ||
In article | View Article PubMed | ||
[6] | Arouna, A., Soullier, G., Del Villar, P. M., & Demont, M. (2020). Policy options for mitigating impacts of COVID-19 on domestic rice value chains and food security in West Africa. Global Food Security, 26, 100405. | ||
In article | View Article PubMed | ||
[7] | Chen, S., Igan, D. O., Pierri, N., Presbitero, A. F., Soledad, M., & Peria, M. (2020). Tracking the economic impact of COVID-19 and mitigation policies in Europe and the United States. IMF Working Papers, 2020(125). | ||
In article | View Article | ||
[8] | Chen, J., Vullikanti, A., Santos, J., Venkatramanan, S., Hoops, S., Mortveit, H., ... & Marathe, A. (2021). Epidemiological and Economic Impact of COVID-19 in the US. Scientific reports, 11(1), 1-12. | ||
In article | View Article PubMed | ||
[9] | Ozdemir, O., Dogru, T., Kizildag, M., Mody, M., & Suess, C. (2021). Quantifying the economic impact of COVID-19 on the US hotel industry: Examination of hotel segments and operational structures. Tourism Management Perspectives, 39, 100864. | ||
In article | View Article PubMed | ||
[10] | Temitope, A. P., & Wolfskill, L. A. (2021). Food insecurity determinants amidst the COVID-19 pandemic: an insight from Huntsville, Texas. Journal of Food Security, 9(3), 106-114. | ||
In article | View Article | ||
[11] | Bloom, N., Fletcher, R. S., & Yeh, E. (2021). The impact of COVID-19 on US firms (No. w28314). National Bureau of Economic Research. | ||
In article | View Article | ||
[12] | Reardon, T., Bellemare, M. F., & Zilberman, D. (2020). How COVID-19 may disrupt food supply chains in developing countries. IFPRI book chapters, 78-80. | ||
In article | View Article | ||
[13] | Teachout, M., & Zipfel, C. (2020). The economic impact of COVID-19 lockdowns in sub-Saharan Africa. International Growth Centre. | ||
In article | |||
[14] | Andam, K., Edeh, H., Oboh, V., Pauw, K., & Thurlow, J. (2020). Impacts of COVID-19 on food systems and poverty in Nigeria. In Advances in food security and sustainability (Vol. 5, pp. 145-173). Elsevier. | ||
In article | View Article PubMed | ||
[15] | Sers, C. F., & Mughal, M. (2020). Covid-19 outbreak and the need for rice self-sufficiency in West Africa. World Development, 135, 105071. | ||
In article | View Article PubMed | ||
[16] | Sulser, T., & Dunston, S. (2020). COVID-19-related trade restrictions on rice and wheat could drive up prices and increase hunger. IFPRI blog. | ||
In article | |||
[17] | Mullen, J. D., & Alston, J. M. (1995). The impact on the Australian lamb industry of producing larger leaner lamb. Review of marketing and agricultural economics, 62(1), 43-61. | ||
In article | |||
[18] | Kinnucan, H. W., Duc Minh, N., & Zhang, D. (2017). Trade diversion and antidumping effectiveness: insights from a residual demand model. Australian Journal of Agricultural and Resource Economics, 61(2), 324-340. | ||
In article | View Article | ||
[19] | Ahn, B. I., & Im, J. B. (2016). An equilibrium displacement approach to analyzing the effects of tariff reduction on farmers’ profits: the Korea-Chile FTA’s effects on Korean grape producers. Journal of Korea Trade, 20(4), 349-363. | ||
In article | View Article | ||
[20] | Kinnucan*, H. W., & Myrland, Ø. (2005). Effects of income growth and tariffs on the world salmon market. Applied economics, 37(17), 1967-1978. | ||
In article | View Article | ||
[21] | Kinnucan, H. W. (2016). Timber price dynamics after a natural disaster: Hurricane Hugo revisited. Journal of Forest Economics, 25, 115-129. | ||
In article | View Article | ||
[22] | Lin, Y., & Zhang, D. (2017). Incidence of Russian log export tax: A vertical log-lumber model. Journal of Forest Economics, 29, 69-77. | ||
In article | View Article | ||
[23] | van Kooten, G. C., & Schmitz, A. (2022). COVID-19 impacts on US lumber markets. Forest policy and economics, 135, 102665. | ||
In article | View Article PubMed | ||
[24] | Assogba, N. P., & Zhang, D. (2023). Exchange rate and US softwood plywood import from Brazil. Forest Policy and Economics, 150, 102954. | ||
In article | View Article | ||
[25] | Assogba, N. P., & Zhang, D. (2022). An economic analysis of poaching: linking with village characteristics surrounding a protected area. Human Dimensions of Wildlife, 27(5), 422-435. | ||
In article | View Article | ||
[26] | Nguyen, L., & Kinnucan, H. W. (2019). The US solar panel anti-dumping duties versus uniform tariff. Energy Policy, 127, 523-532. | ||
In article | View Article | ||
[27] | Codjo, O. S., Durand‐Morat, A., West, G. H., Lanier Nalley, L., Nayga Jr, R. M., & Wailes, E. J. (2021). Estimating demand elasticities for rice in Benin. Agricultural Economics, 52(2), 343-361. | ||
In article | View Article | ||
[28] | Dorosh, P. A., & Rashid, S. (2013). Trade subsidies, export bans and price stabilization: Lessons of Bangladesh–India rice trade in the 2000s. Food Policy, 41, 103-111. | ||
In article | View Article | ||
[29] | Deuss, A. (2017). Impact of agricultural export restrictions on prices in importing countries. | ||
In article | |||
[30] | Valera, H. G. A., Mishra, A. K., Pede, V. O., Yamano, T., & Dawe, D. (2024). Domestic and international impacts of rice export restrictions: The recent case of indian non-basmati rice. Global Food Security, 41, 100754. | ||
In article | View Article PubMed | ||
[31] | Headey, D. (2011). Rethinking the global food crisis: The role of trade shocks. Food Policy, 36(2), 136-146. | ||
In article | View Article | ||
[32] | Anderson, K., & Nelgen, S. (2012). Agricultural trade distortions during the global financial crisis. Oxford Review of Economic Policy, 28(2), 235-260. | ||
In article | View Article | ||
[33] | Childs, N. W., & Kiawu, J. (2009). Factors behind the rise in global rice prices in 2008. | ||
In article | |||
[34] | Miassi, Y. E., Akdemir, Ş., Dossa, K. F., & Omotayo, A. O. (2023). Technical efficiency and constraints related to rice production in West Africa: the case of Benin Republic. Cogent Food & Agriculture, 9(1), 2191881. | ||
In article | View Article | ||
[35] | Loko, Y. L. E., Gbemavo, C. D., Djedatin, G., Ewedje, E. E., Orobiyi, A., Toffa, J., ... & Sabot, F. (2022). Characterization of rice farming systems, production constraints and determinants of adoption of improved varieties by smallholder farmers of the Republic of Benin. Scientific Reports, 12(1), 3959. | ||
In article | View Article PubMed | ||
[36] | Nonvide, G. M. A., Sarpong, D. B., Kwadzo, G. T., Anim-Somuah, H., & Amoussouga Gero, F. (2018). Farmers’ perceptions of irrigation and constraints on rice production in Benin: a stakeholder-consultation approach. International Journal of Water Resources Development, 34(6), 1001-1021. | ||
In article | View Article | ||
[37] | Totin, E., Van Mierlo, B., Saïdou, A., Mongbo, R., Agbossou, E., Stroosnijder, L., & Leeuwis, C. (2012). Barriers and opportunities for innovation in rice production in the inland valleys of Benin. NJAS-Wageningen Journal of Life Sciences, 60, 57-66. | ||
In article | View Article | ||
[38] | Assogba, P. N., Kokoye, S. E. H., Yegbemey, R. N., Djenontin, J. A., Tassou, Z., Pardoe, J., & Yabi, J. A. (2017). Determinants of credit access by smallholder farmers in North-East Benin. Journal of Development and Agricultural Economics, 9(8), 210-216. | ||
In article | |||
Published with license by Science and Education Publishing, Copyright © 2024 Noel Perceval Assogba, Achille Gbeto and Filikibirou Tassou Zakari
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
http://creativecommons.org/licenses/by/4.0/
[1] | Huynh, T. L. (2020). The COVID-19 risk perception: A survey on socioeconomics and media attention. Econ. Bull, 40(1), 758-764. | ||
In article | |||
[2] | UN DESA (2020). United Nations (UN) Department of Economic and Social Affairs (DESA). COVID-19 to slash global economic output by $8.5 trillion over next two years. https:// www.un.org/ development/desa/en/news/policy/wesp-mid-2020-report.html. | ||
In article | |||
[3] | Anyanwu, J. C., & Salami, A. O. (2021). The impact of COVID‐19 on African economies: An introduction. African Development Review, 33(Suppl 1), S1. | ||
In article | View Article PubMed | ||
[4] | Munyemana, E., Mung’atu, J., & Ruranga, C. (2024). Analysis of Effects of COVID-19 Pandemic on Small-and Medium-Sized Enterprises (SMEs) in Rwanda Using Wood Firm-Level Data. Economies, 12(8), 203. | ||
In article | View Article | ||
[5] | Ataguba, J. E. (2020). COVID-19 Pandemic, a War to be Won: Understanding its Economic Implications for Africa. Applied Health Economics and Health Policy, 18(3), 325-328. | ||
In article | View Article PubMed | ||
[6] | Arouna, A., Soullier, G., Del Villar, P. M., & Demont, M. (2020). Policy options for mitigating impacts of COVID-19 on domestic rice value chains and food security in West Africa. Global Food Security, 26, 100405. | ||
In article | View Article PubMed | ||
[7] | Chen, S., Igan, D. O., Pierri, N., Presbitero, A. F., Soledad, M., & Peria, M. (2020). Tracking the economic impact of COVID-19 and mitigation policies in Europe and the United States. IMF Working Papers, 2020(125). | ||
In article | View Article | ||
[8] | Chen, J., Vullikanti, A., Santos, J., Venkatramanan, S., Hoops, S., Mortveit, H., ... & Marathe, A. (2021). Epidemiological and Economic Impact of COVID-19 in the US. Scientific reports, 11(1), 1-12. | ||
In article | View Article PubMed | ||
[9] | Ozdemir, O., Dogru, T., Kizildag, M., Mody, M., & Suess, C. (2021). Quantifying the economic impact of COVID-19 on the US hotel industry: Examination of hotel segments and operational structures. Tourism Management Perspectives, 39, 100864. | ||
In article | View Article PubMed | ||
[10] | Temitope, A. P., & Wolfskill, L. A. (2021). Food insecurity determinants amidst the COVID-19 pandemic: an insight from Huntsville, Texas. Journal of Food Security, 9(3), 106-114. | ||
In article | View Article | ||
[11] | Bloom, N., Fletcher, R. S., & Yeh, E. (2021). The impact of COVID-19 on US firms (No. w28314). National Bureau of Economic Research. | ||
In article | View Article | ||
[12] | Reardon, T., Bellemare, M. F., & Zilberman, D. (2020). How COVID-19 may disrupt food supply chains in developing countries. IFPRI book chapters, 78-80. | ||
In article | View Article | ||
[13] | Teachout, M., & Zipfel, C. (2020). The economic impact of COVID-19 lockdowns in sub-Saharan Africa. International Growth Centre. | ||
In article | |||
[14] | Andam, K., Edeh, H., Oboh, V., Pauw, K., & Thurlow, J. (2020). Impacts of COVID-19 on food systems and poverty in Nigeria. In Advances in food security and sustainability (Vol. 5, pp. 145-173). Elsevier. | ||
In article | View Article PubMed | ||
[15] | Sers, C. F., & Mughal, M. (2020). Covid-19 outbreak and the need for rice self-sufficiency in West Africa. World Development, 135, 105071. | ||
In article | View Article PubMed | ||
[16] | Sulser, T., & Dunston, S. (2020). COVID-19-related trade restrictions on rice and wheat could drive up prices and increase hunger. IFPRI blog. | ||
In article | |||
[17] | Mullen, J. D., & Alston, J. M. (1995). The impact on the Australian lamb industry of producing larger leaner lamb. Review of marketing and agricultural economics, 62(1), 43-61. | ||
In article | |||
[18] | Kinnucan, H. W., Duc Minh, N., & Zhang, D. (2017). Trade diversion and antidumping effectiveness: insights from a residual demand model. Australian Journal of Agricultural and Resource Economics, 61(2), 324-340. | ||
In article | View Article | ||
[19] | Ahn, B. I., & Im, J. B. (2016). An equilibrium displacement approach to analyzing the effects of tariff reduction on farmers’ profits: the Korea-Chile FTA’s effects on Korean grape producers. Journal of Korea Trade, 20(4), 349-363. | ||
In article | View Article | ||
[20] | Kinnucan*, H. W., & Myrland, Ø. (2005). Effects of income growth and tariffs on the world salmon market. Applied economics, 37(17), 1967-1978. | ||
In article | View Article | ||
[21] | Kinnucan, H. W. (2016). Timber price dynamics after a natural disaster: Hurricane Hugo revisited. Journal of Forest Economics, 25, 115-129. | ||
In article | View Article | ||
[22] | Lin, Y., & Zhang, D. (2017). Incidence of Russian log export tax: A vertical log-lumber model. Journal of Forest Economics, 29, 69-77. | ||
In article | View Article | ||
[23] | van Kooten, G. C., & Schmitz, A. (2022). COVID-19 impacts on US lumber markets. Forest policy and economics, 135, 102665. | ||
In article | View Article PubMed | ||
[24] | Assogba, N. P., & Zhang, D. (2023). Exchange rate and US softwood plywood import from Brazil. Forest Policy and Economics, 150, 102954. | ||
In article | View Article | ||
[25] | Assogba, N. P., & Zhang, D. (2022). An economic analysis of poaching: linking with village characteristics surrounding a protected area. Human Dimensions of Wildlife, 27(5), 422-435. | ||
In article | View Article | ||
[26] | Nguyen, L., & Kinnucan, H. W. (2019). The US solar panel anti-dumping duties versus uniform tariff. Energy Policy, 127, 523-532. | ||
In article | View Article | ||
[27] | Codjo, O. S., Durand‐Morat, A., West, G. H., Lanier Nalley, L., Nayga Jr, R. M., & Wailes, E. J. (2021). Estimating demand elasticities for rice in Benin. Agricultural Economics, 52(2), 343-361. | ||
In article | View Article | ||
[28] | Dorosh, P. A., & Rashid, S. (2013). Trade subsidies, export bans and price stabilization: Lessons of Bangladesh–India rice trade in the 2000s. Food Policy, 41, 103-111. | ||
In article | View Article | ||
[29] | Deuss, A. (2017). Impact of agricultural export restrictions on prices in importing countries. | ||
In article | |||
[30] | Valera, H. G. A., Mishra, A. K., Pede, V. O., Yamano, T., & Dawe, D. (2024). Domestic and international impacts of rice export restrictions: The recent case of indian non-basmati rice. Global Food Security, 41, 100754. | ||
In article | View Article PubMed | ||
[31] | Headey, D. (2011). Rethinking the global food crisis: The role of trade shocks. Food Policy, 36(2), 136-146. | ||
In article | View Article | ||
[32] | Anderson, K., & Nelgen, S. (2012). Agricultural trade distortions during the global financial crisis. Oxford Review of Economic Policy, 28(2), 235-260. | ||
In article | View Article | ||
[33] | Childs, N. W., & Kiawu, J. (2009). Factors behind the rise in global rice prices in 2008. | ||
In article | |||
[34] | Miassi, Y. E., Akdemir, Ş., Dossa, K. F., & Omotayo, A. O. (2023). Technical efficiency and constraints related to rice production in West Africa: the case of Benin Republic. Cogent Food & Agriculture, 9(1), 2191881. | ||
In article | View Article | ||
[35] | Loko, Y. L. E., Gbemavo, C. D., Djedatin, G., Ewedje, E. E., Orobiyi, A., Toffa, J., ... & Sabot, F. (2022). Characterization of rice farming systems, production constraints and determinants of adoption of improved varieties by smallholder farmers of the Republic of Benin. Scientific Reports, 12(1), 3959. | ||
In article | View Article PubMed | ||
[36] | Nonvide, G. M. A., Sarpong, D. B., Kwadzo, G. T., Anim-Somuah, H., & Amoussouga Gero, F. (2018). Farmers’ perceptions of irrigation and constraints on rice production in Benin: a stakeholder-consultation approach. International Journal of Water Resources Development, 34(6), 1001-1021. | ||
In article | View Article | ||
[37] | Totin, E., Van Mierlo, B., Saïdou, A., Mongbo, R., Agbossou, E., Stroosnijder, L., & Leeuwis, C. (2012). Barriers and opportunities for innovation in rice production in the inland valleys of Benin. NJAS-Wageningen Journal of Life Sciences, 60, 57-66. | ||
In article | View Article | ||
[38] | Assogba, P. N., Kokoye, S. E. H., Yegbemey, R. N., Djenontin, J. A., Tassou, Z., Pardoe, J., & Yabi, J. A. (2017). Determinants of credit access by smallholder farmers in North-East Benin. Journal of Development and Agricultural Economics, 9(8), 210-216. | ||
In article | |||