Maize Prices Research Articles

Zinc application rate for optimal profitability of maize production systems in the savanna agroecological zones of Northern Ghana

Although the critical role of zinc (Zn) in maize nutrition and productivity is well documented, there is still a need to determine the most economically justifiable Zn application rate for maize production, particularly in the savanna agroecological zones (AEZs) of northern Ghana where such study is lacking. In a three-year study at six locations across the AEZs, we compared seven Zn application rates, ranging from 0 to 15 kg ha−1 in 2.5 kg intervals, to quantify maize yield responses and determine the economically optimal Zn rate for maize production. Across all experimental sites and for the three growing seasons, maize grain yield with each treatment followed the order 15 kg Zn ha−1 = 12.5 kg Zn ha−1 = 10 kg Zn ha−1 = 7.5 kg Zn ha−1 > 5 kg Zn ha−1 > 2.5 kg Zn ha−1 > control, suggesting that 7.5 kg Zn ha−1 is the optimal Zn application rate. However, based on agro-input prices at the local level and the farm-gate prices of maize, the potential gross profit resulting from Zn application was maximized at 5 kg Zn ha−1. From the combined results, we conclude that, when the production objective is for yield optimization only, an application rate of 7.5 kg Zn ha−1 provides the best results. However, unless premium prices are paid for Zn-enriched maize grains, then Zn application rate of 5 kg ha−1 is economically justified for sustainable and profitable maize production in the Zn-deficient soils of the savanna AEZs of northern Ghana.

Optimizing sulfur fertilizer application rate for profitable maize production in the savanna agroecological zones of Northern Ghana

Although several studies have established the importance of sulfur (S) in increasing maize productivity in the savanna agroecological zones (AEZs) of northern Ghana, the economically optimum S application rate is still unknown. In a two-year study at eight locations across the AEZs, we determined the economically optimum S application rate for S-deficient soils. We compared eight S application rates, ranging from 0 to 70 kg ha−1 at 10 kg intervals, for optimal maize productivity and profitability. The study identified 30 kg S ha−1 as the minimum rate that resulted in a plant tissue S concentration above the critical level of 0.15%. Although increasing the S application rate resulted in increases in maize grain yield, application of S beyond a rate of 30 kg ha−1 resulted in increases in maize grain yield that were not statistically significant and leveled off at 50 kg S ha−1. Application rates ≥50 kg ha−1 resulted in a high proportion of the applied S not taken up by the plant and, thus, subject to losses from the soil. Based on agro-input prices at the local level and the farm-gate prices of maize, the greatest potential profit resulting from S application was observed at 30 kg S ha−1, with a projected average maize yield of between ∼4.2 and 5.3 Mg ha−1, representing >90% of the observed yield with the highest S application rate of 70 kg ha−1. Thus, we conclude that, for sustainable and profitable maize production in S-deficient soils of the savanna AEZs of northern Ghana, an S applications rate of 30 kg ha−1 is economically justified.

Overcoming smallholder farmers’ post-harvest constraints through harvest loans and storage technology: Insights from a randomized controlled trial in Tanzania

Maintaining staple grains throughout the year and managing liquidity are two major challenges that smallholder farmers face at harvest. We implemented a randomized controlled trial in Tanzania that was designed to address these post-harvest constraints. First, we offered treated farmers two hermetic (airtight) storage bags, which helped preserve grain quantity and quality. Second, we offered other treated farmers a loan at harvest, which reduced the liquidity constraints they faced. Repayment was due with interest six months from harvest when maize prices were traditionally higher. We did not find a significant impact of the storage intervention. However, those offered the loan stored 29 percent more and sold 50 percent more maize on average in the lean season compared to farmers in the control group. Nevertheless, an unexpected maize export ban in Tanzania likely attenuated the outcomes of both interventions. This highlighted the challenges surrounding agricultural financial products in the developing world.

ANALISIS RANTAI NILAI PEMASARAN JAGUNG DI KECAMATAN KEDAMEAN KABUPATEN GRESIK

This examine targets to identify the development of corn manufacturing, examine mapping, market cost chain evaluation of corn and broaden techniques for strengthening corn production in Kedamean District, Gresik Regency. The kinds and assets of records used in this study used kinds of records, particularly number one statistics and secondary records. The method of collecting statistics is purposive sampling, that is meant to make it less difficult for researchers to get facts related to analyze goals. The data evaluation used is cost chain evaluation. The results of this have a look at have been (1) manufacturing of composite maize via farmers in Kedamean District become able to attain production of 5-6 heaps per ha, whilst hybrid corn became capable of attain eight-10 lots in line with ha. The maize price chain in Kedamean District entails three (three) main actors, particularly: (1) Farmers (2) creditors (three) traders. the advertising chain above shows that the most important brought price is obtained via collectors and buyers. The advertising channels are marketing Channel I: Farmers – conventional markets – consumers, marketing Channel II: Farmers – provincial buyers – nearby/export clients, advertising Channel III: Farmers – district investors – provincial investors – local/export clients. advertising Channel IV: Farmers – collectors – district traders – provincial buyers – nearby/export purchasers.Keywords: corn, marketing value chain, marketing channel.

Effectiveness of protected areas in preventing forest loss in a tropical mountain region

As forest loss is accelerating in tropical mountains globally, protected areas (PAs) are seen as bastions to protect sensitive ecosystems, preserve biodiversity, and safeguard headwater catchments from degradation. However, the effectiveness of PAs in preventing forest conversion has rarely been determined. Complicating the issue is that many PAs are inhabited to some extent by long-standing residents, causing illegal logging that is commonly reported. To assess the effectiveness of PAs in preserving forests, as well as investigate the drivers of forest loss in/near PAs, we compare forest loss rates inside and outside PAs before and after their establishment in a tropical mountain region (northern Thailand, the epicenter of mainland Southeast Asia, including 84 PAs). Over the 17-year period from 2000 to 2016, we found that the percentage of forest loss was lower within the PAs than outside (1.69% versus 4.94%). Mean annual forest loss in the PAs was 20% of that in unprotected area. Total forest loss inside PAs included 888.12 km2 (1.93%) in national parks, 325.18 km2 (1.34%) in wildlife sanctuaries/conservation areas and 16.37 km2 (0.65%) in no hunting areas. Forest loss also tended to be highest along boundaries within a 300-m buffer both inside and outside the PAs. Using gradient boosting decision trees, we determined that accessibility variables (elevation, and distance to road) and population were key drivers associated with forest loss in PAs. Further, we found a two-year lagged correlation between forest loss in PAs and international maize price (R2 = 0.73, p < 0.001), indicating the sensitivity of forest loss in some locations to commodity agriculture trends. Finally, we acknowledge the difficulty of managing forest loss in PAs because of the large populations of people living within the boundaries who rely on forest products to support their livelihoods, as well as difficulties in enforcing illegal logging laws.

Export dimension of maize in India

This paper presents the study on growth rate and instability in area, production, productivity and export of maize from India. The study also explores the competiveness of Indian maize in international trade along with the factors affecting its export. The study is based on secondary data regarding area, production, export and prices for the last 20 years (from 1999 to 2019) which was collected and the whole period was divided into three periods viz., period I, II and III. The analysis of growth rate for production of maize in India for the period I, period II and the overall period showed that there is positive and highly significant increase in production with 5.92, 4.35 and 4.99 per cent growth in all three aforementioned periods, respectively. Maize export values exhibited significant growth rate values at one per cent level in period I (87.79%) and overall period (28.04%), respectively. The co-efficient of variation and Cuddy-Della instability index for production was found highest in overall period (28.66 %) and period I (8.57 %), respectively. In terms of area co-efficient of variation was highest in overall period (13.31 %) while Cuddy-Della instability index was highest in period II (3.54%). For both export quantity and value, co-efficient of variation was highest in period I with 134.01% and 147.39 %, respectively. While the same for Cuddy Della Instability Index was true in overall period with 73.51% and 71.21%. Index numbers for world production, India’s production, world export, India’s export, export value, domestic price and international price of maize in India displayed gradual increase in almost all the periods. At an overall level, the NPC values of maize export was worked out to 0.82 which indicates moderately export competitiveness of Indian maize in international level and proves commodity is protected in international market. The study concluded with Cobb-Douglas function for factor influencing export of maize exhibited very high value of R2 for maize i.e. (0.97), which indicated the best fit of equation. Maize export was observed to be influenced by factors namely export prices, Total world import, ratio of domestic consumption to production and ratio of domestic price to world price.

Weed control of maize (Zea mays L.) in university farming

Purpose. Regarding the area of maize in Hungary, we can state that it is one of the largest crops grown in the area. Maize was grown on 1,048,070 hectares in Hungary in 2019. The purchase price depends, among other things, on the size of the sown area and the yields, but many other things can also have an impact in either a positive or negative direction. In recent years, the purchase price of maize has been around HUF 50,000/tonne. Maize is one of the heat-demanding plants that needs 500 mm of rainfall during its growing season to develop smoothly. The expected yield is significantly influenced by the type of soil grown. Meadow chernozem and brown forest soil are the most favorable for maize.&#x0D; Methods. The maize was sown on April 17, 2020. In the experimental area were selected 5 squares. A square has a floor area of 4 m2. In the research area were conducted three weed surveys. The dates were: May 18, June 22, and July 29, 2020. The following herbicides were released on 15th May: Sulcotrek (sulcotrione and terbuthylazine); Tegoplant (trisiloxane); Trend (adjuvant).&#x0D; Results. The area was harvested on 21 September by a combine harvester equipped with a corn tube breaker adapter. From an area of one hectare, 9.4 tons of crops were harvested with a moisture content of 14%.&#x0D; Conclusions. In the case of chemical weed control, it is recommended to use an agent or combination which is specifically aimed at reducing unwanted, in this case pine sorghum.

Do changes in maize prices and input prices affect smallholder farmers’ soil fertility management decisions? panel survey evidence from Kenya

ABSTRACT Soil fertility management (SFM) practices such as maize-legume intercropping and organic fertiliser, particularly when used jointly with inorganic fertiliser, have the potential to increase yields and yield response to inorganic fertiliser, improve soil health, and contribute to sustainable intensification (SI). However, relatively little is known about the drivers of adoption of these practices, especially for joint use. Moreover, it has been suggested that African farmers will respond to an increase in the maize price they expect to receive at the next harvest by increasing investment in their soils or altering use of SFM practices in response to input price changes. Yet previous studies largely ignore the role of prices. Using nationwide household panel survey data from Kenya, we estimate the effects of changes in crop and input prices on household use of individual SFM practices and combinations thereof. We find that Kenyan smallholders’ SFM adoption decisions are largely insensitive to changes in expected maize prices. However, when inorganic fertiliser prices rise, farmers are more likely to use organic fertiliser and use less inorganic fertiliser per acre. These results suggest that price policies alone are unlikely to be effective ways to promote SI of maize production in Kenya.

Food security prediction from heterogeneous data combining machine and deep learning methods

After many years of decline, hunger in Africa is growing again. This represents a global societal issue that all disciplines concerned with data analysis are facing. The rapid and accurate identification of food insecurity situations is a complex challenge. Although a number of food security alert and monitoring systems exist in food insecure countries, the data and methodologies they are based on do not allow for comprehending food security in all its complexity. In this study, we focus on two key food security indicators: the food consumption score (FCS) and the household dietary diversity score (HDDS). Based on the observation that producing such indicators is expensive in terms of time and resources, we propose the FSPHD (Food Security Prediction based on Heterogeneous Data) framework, based on state-of-the-art machine and deep learning models, to enable the estimation of FCS and HDDS starting from publicly available heterogeneous data. We take into account the indicators estimated using data from the Permanent Agricultural Survey conducted by the Burkina Faso government from 2009 to 2018 as reference data. We produce our estimations starting from heterogeneous data that include rasters (e.g., population density, land use, soil quality), GPS points (hospitals, schools, violent events), line vectors (waterways), quantitative variables (maize prices, World Bank variables, meteorological data) and time series (Smoothed Brightness Temperature — SMT, rainfall estimates, maize prices). The experimental results show a promising performance of our framework, which outperforms competing methods, thus paving the way for the development of advanced food security prediction systems based on state-of-the-art data science technologies.

Effects of crude oil prices on copper and maize prices

This study explains the effects of crude oil prices on copper and maize prices. Vector autoregressive and vector error correction models are used to study the relationship between oil prices and prices of copper and maize. The commodity price data used consist of average monthly prices of each of the commodities: crude oil, copper and maize for the months January 1982 to June 2021. For robustness, the analysis was also run on a sample of the same data for the period January 2000 to June 2021. A long-run relationship was found between crude oil and copper prices on the one hand and maize prices on the other for the 1982 to 2021 period at the 5% significance level. The same was not true for the shorter sample (2000 to 2021). Granger causality flowing from crude oil prices alone to copper and maize prices was not found. Recommendations that are useful for energy, mining, agriculture and general development policy and practice are made. The findings are also useful for bilateral and multilateral aid discussions. The limitations of the study and recommendations for future scholarship are also made.

The Effects of Storage Technology and Training on Postharvest Losses, Practices, and Sales: Evidence from Small-Scale Farms in Tanzania

We analyze the impact of a new storage technology and training on postharvest losses, sales and the timing of sales, farmgate prices, maize quality, and storage protection costs among small-scale maize farmers in rural Tanzania. The analysis is based on data collected by means of a randomized controlled trial in which farmers were randomized into one of three groups: a control group and two treatment groups. Farmers in the first treatment group received training on postharvest management practices, and farmers in the second treatment group were provided with hermetic (airtight) bags for storing maize as well as the training administered to the first treatment group. Both interventions had a significant effect in reducing storage losses, and the intervention with hermetic bags improved the quality of maize grain, raised the likelihood of selling maize, increased the farmgate price of maize, enabled farmers to shift some of their sales to the lean season, and reduced the cost of storage protection. Both interventions are economically feasible.

Trends in Tobacco Production and Prices in Malawi.

Diversification away from tobacco production has been identified as a priority for Malawi, historically one of the world's most tobacco-reliant countries. This paper refers to a nationally representative data set to characterize broad trends in production since 2000 to understand whether Malawi is shifting away from tobacco and how production has changed over time. From 2004 to 2019, the share of Malawian crop farmers producing tobacco fell from 16% to 5%, and tobacco's share of the total value of crop production also declined sharply. Tobacco farms are generally growing larger (in size and scale of production) over time. However, land productivity remains low, with net returns of 93 000 MWK (128 USD) per hectare at the median. Farm-gate prices for tobacco have declined relative to the prices of maize or fertilizer, rendering tobacco a less lucrative avenue to generate the cash income needed to purchase these key items. In addition, the share of the export price received by farmers has also declined over time, with the median farm-gate price representing 32% of the export price in 2004 and 18% in 2019. In some respects, a transition away from tobacco has already occurred. Additional research is needed to understand why the farm-gate share of tobacco export prices has declined over this period and how the livelihoods of smallholder farm-households that exited tobacco production have been affected. To the extent that tobacco prices appear to be declining, there is a need to rigorously assess whether farmers have suitable crop alternatives (with established markets) and other livelihood options. Likely, investments are yet needed to foster strong alternatives to tobacco; such investments include research and development in on-farm technologies to raise the productivity of non-tobacco crops, as well as improvements in non-tobacco value chains to reduce transportation costs and promote private investment.

Extreme lows of wheat production in Brazil

Wheat production in Brazil is insufficient to meet domestic demand and falls drastically in response to adverse climate events. Multiple, agro-climate-specific regression models, quantifying regional production variability, were combined to estimate national production based on past climate, cropping area, trend-corrected yield, and national commodity prices. Projections with five CMIP6 climate change models suggest extremes of low wheat production historically occurring once every 20 years would become up to 90% frequent by the end of this century, depending on representative concentration pathway, magnified by wheat and in some cases by maize price fluctuations. Similar impacts can be expected for other crops and in other countries. This drastic increase in frequency in extreme low crop production with climate change will threaten Brazil’s and many other countries progress toward food security and abolishing hunger.

Output response at the farm level: Maize supply and input demand in Kaduna State, Nigeria

&#x0D; &#x0D; &#x0D; The degree of responsiveness of agricultural supply to input either in the short or long-term production decision is crucial in understanding the role of price and non-price factors in increasing supply. This study analysed output supply and input demand of maize production using a farm survey data of 600 randomly selected maize farmers from all agricultural zones in Kaduna State of Nigeria. Data were analysed using a modified Nerlovian model and set of input demand equations. The results showed that in all estimates (yield and hectarage) long run estimates are greater than the short run values and both were inelastic. The elasticity for lagged own price of maize was 0.23% in the short run and 0.17% in the long run were positive, marginal and inelastic. The hectarage elasticity of supply response for maize is 1.04 in the short run and 0.78 in the long run. The result of the input demand equations showed that the coefficients cost of agrochemical and farm size statistically affect seed, fertilizer and labour demand. The study portrayed that the most critical issues in maize supply are the lack of improved production technology, poor capital investment, land unavailability or poor land tenure system and poor policy incentives. The study recommends that, there is a need for State policy on agricultural research and extension, and adequate input price policies. The government is advised to dissolve the agricultural extension service system to local governments. This will allow agricultural extension system to be more location specific.&#x0D; &#x0D; &#x0D;

Impacts of China's bioethanol policy on the global maize market: a partial equilibrium analysis to 2030.

Maize is a major component of China’s cereal production. It is also one of the main feedstocks for China's bioethanol production. To ensure food security, there is flexibility in China’s ethanol policy. In this paper, we build a multicountry and multisector partial equilibrium model to simulate the possible impacts of biofuel policy on maize markets and food security. Considering normal macroeconomic conditions, China’s bioethanol promotion policy would result in a net increase in maize imports to 26 mmt in 2030. Meanwhile, China’s maize self-sufficiency ratio would decrease to 92% in 2030 as a result of the country’s bioethanol promotion policy. In addition, simulation results indicate that China’s bioethanol promotion policy could increase the world maize price index by 5% and the world bioethanol price index by 4% in 2030. Based on this modeling study, the Chinese government may take measures in advance to prepare for large-scale maize imports, adjust its strategy in order to make better use of the international market, and strengthen international trade and stock cooperation with maize import regions and countries.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12571-021-01212-5.

Measuring Trade Cost Reductions Through a New Bridge in Mozambique: Who Benefits From Transport Infrastructure?

Abstract We use spatial maize prices in Mozambique to measure transport cost reductions, attribute these reductions to road distance and road quality and assess to what extent producers, traders and consumers benefit. For identification we exploit a unique natural experiment, the construction of a new road bridge over the Zambezi River, which connects the north and south of Mozambique. The applied methodology allows for potentially oligopolistic traders with spatially varying mark-ups. Estimations are based on monthly maize prices, in 22 markets, for 5 years before and after the introduction of the bridge. Estimates of transport cost reductions, averaged over routes, vary from 3% to 7%, with large heterogeneity between routes, and roughly for two-third due to road distance and for one-third due to road quality. On average benefits of trade cost reductions are equally shared between traders and consumers, but for larger distances, a larger part accrues to traders. The evidence also indicates a reduction in prices in destination markets due to the bridge. Results are supported by observed transport cost data, robust for non-random bridge placement and strict source-destination rules.

Maize price volatility and deforestation

AbstractWe develop a model of deforestation using a real option on agricultural land conversion and establish an important link between agricultural commodity price volatility and forest loss. Higher price volatility of staple commodities increases incentives to delay land conversion and is associated with lower levels of deforestation. Using satellite‐derived estimates of local deforestation and high‐frequency local maize prices across a panel of market catchments across 26 countries in sub‐Saharan Africa, we find strong empirical evidence that maize price volatility is negatively associated with forest loss. Our findings are driven by catchments in biomes that are relatively well‐suited to maize production. Instrumenting for changes in price levels and price volatility with spatially explicit temperature and rainfall anomalies yields results consistent with our main approach. The findings highlight important tensions between agricultural price stabilization policies, conservation efforts, and environmental externalities.

The geography of agricultural input markets in rural Tanzania

The expansion of agro-dealers into remote areas can be seen as conducive to more smallholders adopting new technologies and inputs, to include improved seed and fertilizer. However, lower travel costs may be offset by agro-dealer decisions on stocking and pricing, reflecting both travel time from wholesale markets as well as the level of competition in localized areas. This paper investigates the geographical distribution of agro-dealers and related patterns of local market competition on the availability and prices of maize seed and fertilizer. We use a unique census of agro-dealers in eight districts of Tanzania (n = 299) which maps distribution points for agricultural inputs in these areas. Results suggested that despite a high number of agro-dealers, almost 30% of farmers lived more than an hour travel time from at least one agro-dealer. Instead of wide geographical coverage, agro-dealers tended to be found in clusters, with strong variation in cluster sizes between different districts. Overall, more remote agro-dealers faced less competition, resulting in fewer stocked product choices and charging higher prices to customers, even after controlling for travel time from district headquarters. Remote farmers are disadvantaged in their uptake of new technologies and critical production inputs due to lack of competition among agro-dealers. Our results suggest that highly aggregated and/or simplified measures of market access fail to reflect important heterogeneity in the market access conditions faced by farmers; a better understanding of distribution networks and competition is needed.

Analisis Efisiensi Pemasaran Jagung di Provinsi Gorontalo

Price fluctuations at the producer and consumer levels determine the performance of the maize market in Gorontalo Province. This will affect the decisions and ability of the corn marketing agencies involved in responding to price changes. The slow response of marketing agencies to changes in maize prices indicates inefficient market conditions in terms of prices. In addition, differences in market power between marketing agencies indicate inefficiencies in marketing maize from an operational perspective. Therefore, this research was conducted with the aim of 1) analyzing market integration and transmission of maize prices between producers and consumers, 2) analyzing the distribution of marketing margins in the maize marketing channels in Gorontalo Province. The research data used is in the form of weekly price data at the producer and consumer levels for 148 weeks, from March 2016 to March 2019 and added data from direct interviews with the marketing actors involved, namely farmers as many as 30 people, while sampling of traders was carried out by snowball sampling technique. Data analysis used the Asymmetric Error Correction Model (AECM), marketing margin and farmer share for each channel. The results showed that the transmission of maize prices at the producer and consumer level is symmetrical in the long run indicating market integration. The smallest marketing margin and the largest farmer share are in Channel III, where marketing is done directly to an exporter. Corn marketing in Gorontalo Province shows price transmission and market integration as well as high farmer share value in each channel, so it can be concluded that marketing is efficient.

THE EFFECT OF FUEL PRICES ON FOOD PRICES IN KENYA

High food prices are one of the major risks facing households from developing countries. Food prices have attracted renewed interest among policy experts in identifying appropriate policy instruments to counter the effect of price vulnerability. This paper evaluates the effect of fuel prices on food prices by testing for Granger causality and cointegration applied to diesel, maize, beans, cabbage, and potatoes price data for the period 2010-2018. The results revealed a unidirectional Granger causality running from diesel prices to cabbage and potatoes prices but there was no causal relationship with maize and beans prices. The findings suggest that there is a long-run price relationship between perishable foods and fuel prices with an increase in the price of diesel resulting in a significant increase in the price of cabbages and potatoes. The study recommends a policy of cushioning an increase in food prices by introducing a tax relief once the fuel price hits a certain level.Keywords: Food prices, Fuel prices, Cointegration, Granger causalityJEL Classifications: Q48, Q43, Q13DOI: https://doi.org/10.32479/ijeep.10600