The pattern of poor household food consumption: The case of West Java Province

The result of a LA-AIDS showed that the food consumption of poor households in West Java is influenced by its own-price, the price of other commodities, income, number of household members, household location, education of the head of household, and work type of the head of the household. The own-price elasticity identified that the price increase in each commodity group does not affect the consumption of the general food group. The cross-price elasticity of food groups showed more complementary.

Mirror data asymmetry in international trade by commodity group: the case of intra-Community trade

Research background: Transactions in international trade of goods are recorded in two sources, on the side of the seller's country and on the side of the buyer's country. The confrontation of such data makes it possible to measure their quality. An inconsistency between the data is called mirror data asymmetry. Purpose of the article: The aim of the paper is to adapt the methods developed by the Authors to study mirror data asymmetry to commodity group markets examination. The quality of data on trade within specific commodity groups (CN chapters) in intra-Community trade was compared. The data were aggregated by country. The indicators used allow for the indication of commodity groups with high mirror data compatibility and those with data asymmetry between intra-Community supplies (ICS) and acquisitions (ICA). Moreover, the commodity groups for which the value-based and quantity-based approaches give different results have been identified. Methods: Based on the literature on the subject and their own research, the Authors have developed a group of methods for studying the asymmetry of mirror data. The proposed indicator formulas are based on various data aggregation approaches. The research used data on intra-Community supplies and acquisitions of goods broken down into 97 chapters of the Combined Nomenclature (CN). Differences between the ICS and ICA in particular commodity groups were aggregated for all pairs of EU countries. The data comes from the Comext database, provided by Eurostat. Findings & value added: The results of the analysis are rankings of the Combined Nomenclature (CN) chapters by the quality of data on ICS and ICA. Lists of CN chapters have been created for discrepancies both in value and weight of goods. Thus, areas of necessary intensification of the work of public statistics services to improve data reliability were identified.

Self-sufficiency Assessment: Defining the Foodshed Spatial Signature of Short Beef Supply Chains

: Foodshed approaches allow the assessment of the theoretical food self-sufficiency capacity of a specific region based on biophysical conditions. Recent analyses show that the focus needs to be shifted from foodshed size portrayed as an isotropic circle to a commodity-group-specific spatial configuration of the foodshed that takes into account the socio-economic and biophysical conditions essential to the development of local food supply chains. We focus on a specific animal product (beef) and use an innovative modeling approach based on spatial analysis to detect the areas of the foodshed dedicated to beef feeding (forage, pasture, and grassland), considering the foodshed as a complex of complementary areas called an archipelago. We use available statistical data including a census to address the city-region of Avignon (France) covering a 100 km radius. Our results show that the factors driving the use of short supply chains for beef feeding areas are the foodshed archipelago’s number of patches, the connectivity between them, and the rugosity of the boundaries. In addition, our beef self-sufficiency assessment results differ depending on geographical context. For instance, being located within the perimeters of a nature park seems to help orient beef production towards short supply chains. We discuss possible leverage for public action to reconnect beef production areas to consumption areas (the city) via short supply chains (e.g. green, home-grown school food programs) so as to increase local food security through increased local food self-sufficiency.

485 Opportunities Produced and Learning Outcomes Achieved Through a Design Thinking Approach to Problem Based Learning in an Animal Science Capstone

Incorporation of a design thinking approach to problem-based learning in an animal science capstone maximizes intellectual growth and critical reasoning while exposing students to relevant, current industry challenges. Briefly, students working within groups formulate a complex problem statement following facilitated interaction with statewide livestock commodity group stakeholders, then develop implementable solutions via utilization of a design thinking model. This course design structure allows students to demonstrate proficiency in multiple departmental learning objectives: implementation of effective animal management strategies, utilization of animal production systems to sustain economic resources, demonstration of critical thinking, effective communication across multiple mediums, preparation to engage in lifelong learning, and evaluation of socially responsible techniques to produce animal products. Pandemic based restrictions provided students the ability to attend face-to-face classes or work remotely. The capstone was simultaneously delivered on both platforms, but all assessments and feedback were provided online. Student experiences were evaluated weekly through group feedback prompts. Principal student-reported experiences include emergent themes of effective team building and collaboration, a deeper understanding of the value of quality scientific literature, a requirement to pursue in-depth thought to generate actionable solutions, and a desire to independently reach outside of the classroom to learn from other industry professionals. Student assessments prioritized the learning and revision process, with multiple opportunities to improve the synthesis, synopsis, formatting and mechanics of their work throughout the semester. The course concludes with student presentation of their complex problem solutions to a panel of industry stakeholders and department administration, faculty and graduate students. In conclusion, a capstone course utilizing a design thinking approach to problem-based learning effectively provides real-world learning opportunities for students to apply their content knowledge while expanding their universal skills of teamwork, communication, social responsibility and lifelong learning. This course also provides increased opportunity for student-stakeholder engagement.

Nowcasting Growth Rates of Russia’s Export and Import by Commodity Group

In this paper, we apply a set of machine learning and econometrics models, namely: Elastic Net, Random Forest, XGBoost, and SSVS to nowcasting (estimate for the current period) the dollar volumes of Russian exports and imports by a commodity group. We use lags in the volumes of export and import commodity groups, and exchange prices for some goods and other variables, due to which the curse of dimensionality becomes quite acute. The models we use have proven themselves well in forecasting in the presence of the curse of dimensionality, when the number of model parameters exceeds the number of observations. The best-performing model appears to be the weighted machine learning model, which outperforms the ARIMA benchmark model in nowcasting the volume of both exports and imports. According to the Diebold– Mariano test, in the case of the largest commodity groups our model often manages to obtain significantly more accurate nowcasts relative to the ARIMA model. The resulting estimates turn out to be quite close to the Bank of Russia’s historical forecasts built under comparable conditions.

New Characteristics and Hedonic Price Index Numbers

Changes in product characteristics on the extensive margin (the addition of new features and the removal of old ones) are an important and hitherto neglected dimension of quality change. Standard techniques for adjusting price indices for new goods cannot handle such changes satisfactorily, and this leads to an economically and statistically significant bias in the measurement of prices and real output. We combine insights from the theories of exact index numbers and demand for characteristics to develop a new method for incorporating changes on the extensive characteristic margin. Applied to U.K. data on new car sales, our method leads to revisions in estimated inflation rates for this commodity group that are both plausible and quantitatively important.

Development of automated balance flow-sheets in refinery commodity and feedstock depots

Objective. Development of automated balance flow-sheets in commodity and feedstock depots. Methods. Methods for modelling balance flow-sheets of commodity and feedstock depots, taking into account petroleum products movement and shipping plans, were applied. Results. Examples of automated balance flow-sheets of commodity and feedstock depots specific to refineries are given with the description of technological processes or oil product shipment processes. Rail, road, water, and pipelines shipment automation processes are shown. Operational and daily summaries of balance objects, such as a tank or a group of tanks (commodity group), are graphically shown. An example of an automated dispatch sheet formed on the basis of corresponding automated balance flow-sheets is given. Conclusion. The implementation of automated flow-sheets for all significant production facilities at a refinery, in particular for commodity and feedstock depots, will ensure the visibility and transparency of information on balance objects, which is subsequently used to close a balance sheet for the enterprise as a whole.

ANALISIS KETERSEDIAAN PANGAN KOTA MALANG

The research purposes are analyzing food availability, food procurement diversity, and analyzing target formulation, procurement necessity, and food production in Malang in 2016 - 2019. The analysis used is Food Balance Sheet (FBS) and Food Desirable Dietary Pattern (FDDP). The analysis result shows that the food availability in Malang is dominated by plant food source with 81,75 % of percentages. The total of energy availability value is 2.227 kcal/kap/day and protein 63,77 gram/kap/day. The quality of food availability measured with FDDP is 89,33 which shows that food diversity is not maximal yet. Overall, the food availability energy in Malang has not fulfilled Recommended Dietary Energy (RDE) standard and the protein is more than Recommended Dietary Protein (RDP), in which RDE ideal is 2.400 kcal/kap/day and RDP is 63 gram/kap/day. RDE and RDP of ideal food availability can be reached by increasing and decreasing food commodity group gradually from 2016 to 2019. The food commodity groups that need to be increased are such as; cereals, pulse nut and oil seeds, animal food, vegetable, and fruit. While the commodity groups that need to be decreased are such as starchy food, nut, oil and fat, animal food, and sugar.