Impact of US-China trade war on Asian economies: neural network multilayer perceptron approach

PurposeThis study aims to find the impact of the trade war between the USA and China on Asian economies. Apart from macroeconomic variables associated with trade, this study explicitly creates a trade war scenario and trade war participant dummies. Using the neural network multilayer perceptron, this study checks for the causal linkages between the predictors and target output for the panel of Asian economies and the USA.Design/methodology/approachA conceptual model of the after effects of trade war in a quadrant is developed. Variables related to trade and tariffs are included in the study for a panel of 19 Asian economies. The feedforward structure of neural network analysis is used to identify strong and weak predictors of trade war.FindingsThe hidden layers of the multilayer perceptron reveal the inconsistency in linkages for the predictors' services exports, tariff measures, anti-dumping measures, trade war scenario dummy with gross domestic product. The findings suggest that to curtail the impact of the trade war on Asian economies, predictors with neural evidence must be paid due weightage in policy determination and trade agreements.Originality/valueThe study applies a novel and little explored AI/ML technique of Neural Network analysis with training of 70% observations. The paper will provide opportunity for other researchers to explore techniques of AI/ML in trade studies.

Cooperating for a better future

Este documento aborda lo que considero los principales problemas del mundo, aunque reconozco que también hay otros problemas en la actualidad, como la inflación y la guerra en Ucrania. Intentaré abordar los principales problemas, que son de interés para el CIRIEC, que es una organización internacional que presta especial atención a lo que se denomina el Tercer Sector" o "Economía Social", un área que se sitúa entre el sector empresarial privado y el gobierno a pesar de que no soy, debo admitirlo, un experto en este último campo. Lo trataré en el contexto de la discusión de un par de problemas a los que nos enfrentamos en el mundo y que me parecen realmente importantes. El primer problema es la desigualdad económica, de la que sé algo. El segundo problema es el cambio climático y los problemas medioambientales, que creo que son los más importantes. También me referiré al final a algunos problemas relacionados con la pandemia del COVID. En todos los problemas, lo que podríamos llamar el Tercer Sector puede desempeñar un gran papel.Alternate :This paper addresses what I consider to be the world's main problems, although I recognise that there are also other problems at present, such as inflation and the war in Ukraine. I will try to address the main problems, which are of interest to CIRIEC, which is an international organisation that pays particular attention to what is called the Third Sector" or "Social Economy", an area that lies between the private business sector and the government despite I am not, I must admit, an expert in this last field. I will deal with it in the context of discussing a couple of problems we face in the world that I think are really important. The first problem is economic inequality, which I know something about. The second problem is climate change and environmental problems, which I think are the most important. I will also refer at the end to some problems related to the COVID pandemic. In all the problems, what we could call the Third Sector can play a big role.

Time Series: Predicting Nigerian Food Prices using ARIMA Model and R-Programming

The majority of food commodities in Nigeria have seen persistent price instability. this is brought by elements like insecurity/insurgency, poor storage facilities, seasonal price changes, inconsistent government policies, COVID-19 containment measures, poor access to credit, technical inputs, lack of modern farm tools and implements. This study focused on comparing the prices of four different food items - beans, onion, tomato, and yam using the ARIMA model to forecast future prices. Two out of the six geopolitical zones of Nigeria were used for the study;the North-Central and North-West. The National Bureau of Statistics (NBS) provided the raw data between 2017 and 2018, and the items were weighed in kilograms (Kg). The data was extrapolated into a time series data by executing in R Studio. The stationarity of the series data was obtained by a Unit root Test using the KPSS test (If p<0.05 means the time series is stationary). Results from the forecasted values indicated that food commodities' prices increase with time, making ARIMA a good model for forecasting prices. It was recommended that necessary measures should be put in place to ameliorate the high cost of food prices being experienced in the country of Nigeria. © 2022 IEEE.

« Je ne suis pas anti-vaccin, mais cette affaire de COVID-19 pue la merde »: La fabrique du discours des opposants aux mesures sanitaires dans la twittosphère canadienne

Cet article porte sur le rôle des plateformes de médias sociaux (Twitter en particulier) dans la fabrique et la diffusion du discours opposé aux mesures sanitaires dans la province du Québec, durant les premiers jours de la pandémie de COVID-19, en 2020. Fondé sur une approche matérialiste et issue de la théorie de l'acteur-réseau, il analyse les récits opposés aux mesures sanitaires qui ont circulé dans la twittosphère québécoise durant les deux premières semaines d'application des mesures restrictives imposées par les autorités fédérale et provinciale. En particulier, nous montrons que la fabrique et la diffusion d'un discours opposé à ces mesures aboutissent à un syncrétisme idéologique aux contours flous qui contribue à banaliser les idées traditionnellement associées au conspirationnisme et qui visent les élites scientifiques et politiques canadiennes. L'étude, tant du discours que du dispositif qui le promeut, montre par ailleurs qu'il permet à des individus situés à la marge de la sphère publique de se transformer en influenceurs populaires, techno-entrepreneurs moraux, qui deviennent les figures de proue d'une mouvance opposée aux mesures sanitaires.Alternate :This article examines the role played by social media platforms (Twitter in particular) in the fabrication and dissemination of a discourse opposing health measures in the province of Quebec during the early days of the COVID-19 pandemic in 2020. Based on a materialist and actor-network theory approach, it analyzes the narratives opposing the measures that circulated in the Quebec Twittersphere during the first two weeks of the implementation of the restrictive measures imposed by the federal and provincial authorities. In particular, we show that the fabrication and dissemination of a discourse opposed to these measures leads to an ideological syncretism with blurred contours that contributes to the trivialization of ideas traditionally associated with conspiracism that target Canadian scientific and political elites. The study, both of the discourse and of the device that promotes it, shows how this device allows individuals on the fringe of the public sphere to transform themselves into popular influencers and moral techno-entrepreneurs who become the figureheads of a movement opposed to the sanitary measures.Alternate :Este artículo examina el papel de las plataformas de medios sociales (Twitter en particular) en la fabricación y difusión del discurso de oposición a las medidas sanitarias en la provincia de Quebec durante los primeros días de la pandemia de COVID-19 en 2020. Basándose en un enfoque materialista y derivado de la teoría del actor-red, se analizan las narrativas opuestas a las medidas que circularon en la twittosfera quebequense durante las dos primeras semanas de aplicación de las medidas restrictivas impuestas por las autoridades federales y provinciales. En particular, mostramos que la fabricación y difusión de un discurso opuesto a estas medidas da lugar a un sincretismo ideológico de contornos borrosos que contribuye a la banalización de las ideas tradicionalmente asociadas al conspiracionismo y que apuntan a las élites científicas y políticas canadienses. El estudio, tanto del discurso como del dispositivo que lo promueve, muestra que se permite que individuos situados en los márgenes de la esfera pública se transformen en influenciadores populares y tecnoempresarios morales que se convierten en los mascarones de proa de un movimiento opuesto a las medidas sanitarias.

First report of Phasey bean mild yellows virus in Kenya with a new host record

Genome studies in Australia reported a novel virus, Phasey bean mild yellows virus (genus Polerovirus;PBMYV), in mixed infections with Bean leaf roll virus, Faba bean polerovirus 1, Soybean dwarf virus and Turnip yellows virus naturally infecting phasey bean (Macroptilium lathyroides) (Sharman et al., 2021). Symptoms observed on groundnut in Kenya included mild chlorosis, chlorotic mottling and spots, interveinal chlorosis, reddening and thickening of the leaves, leaf curling and bunching, reduced leaf size and stunting A total of 673 leaf samples were collected, pooled into one sample then sequenced on the MiSeq platform (Illumina, USA). The British Society for Plant Pathology Covid-19 PhD Student Support;COmmunity Network for africaN vECTor borne plant viruses (CONNECTED) training grant;Masinde Muliro University of Science and Technology Second University Innovation Fund;and the JR Biotek Foundation Plant Molecular Biology and Agricultural Research Capacity Building Program.

Agri-food trade in 2020

The year 2020 marked one of the biggest recessions in global economic activity and world trade. During this period, the EU economy contracted by 6% and its international trade followed a similar downward trend - EU exports of goods decreased by 9% and imports by 12%, compared to 2019. By contrast, EU international trade in agri-food reported a slight growth. Over the course of 2020, the value of EU agri-food exports increased to 184.3 billion (a growth of 1.4% compared to 2019), while the value of imports rose to 122.2 billion (a growth of 0.5%). As a result, the EU further reinforced its leading position among the world's biggest exporters. On the import side, the EU has become the third largest importer after the US and China. The contraction in global trade was accompanied by increasing prices of food, including commodities as evidenced by the increases reflected in the FAO Global Price Index. The EU exports a wide range of products from all parts of the value chain which demonstrates the competitiveness of the EU agri-food sector in a variety of product classes ranging from commodities to highly processed food industry products. EU imports, on the other hand, are clearly dominated by basic agricultural food and feed products, which represent about 75% of all imports. Looking at product categories, exports of pig meat and wheat strongly contributed to the increase in EU overall agri-food exports. Conversely, spirits and liqueurs as well as wine are among the sectors that experienced a difficult period for a number of reasons (e.g. the COVID pandemic, US retaliatory tariffs). The growth in EU agri-food imports was mainly driven by increases in import values for oilseeds, other than soya beans;fatty acids and waxes, palm oil, fruit including tropical fruit, and soya beans. China, Switzerland and the Middle East and North Africa (MENA) region were the major growth destinations for EU agri-food exports in 2020. The value of EU exports fell most to the United States, Turkey, Singapore and Japan. In terms of imports, Canada grew significantly as a source for the EU imports. By contrast, EU imports declined most in value from the United Kingdom, Ukraine and the United States. In 2020, the UK has become the EU's most important partner in agri-food trade, with a share of 23% in total EU agri-food exports and 13% in total imports. With EU exports and imports both decreasing, its trade surplus with the US increased by 2% when compared to 2019, as falls on the imports side were stronger. China became the top destination for US agri-food exports. EU agri-food exports to China were primarily driven by continued record high sales of pig meat which increased by 74%. Pig meat and meat offal - the latter mainly comprised of products originating from pigs - accounted for over 40% of EU exports to China in 2020, demonstrating the importance of this market for the pig meat sector. Brazil's exports to China continued to increase in 2020, absorbing 35% of its total agri-food exports. Combined agri-food exports from Brazil to the EU and the US now account for half of Brazilian exports to China. In 2020, Brazil supplied 50% of extra-EU demand for soya beans and 40% for oilcakes. Wheat continued to be the leading EU export product to Africa with a 23% share of the EU's total export basket, whereas cocoa beans dominate in the EU imports from Africa, with the same share of 23%. Most African countries benefit from duty-free, quota-free access to the EU market under the "Everything But Arms" scheme and for many of them Economic Partnership Agreements (EPAs) or other trade agreements with the EU are applied, encouraging regional cooperation and trade. In 2020, the EU applied 45 free trade agreements (FTAs) with 77 partners. The share of agri-food trade under preferential agreements is also expanding and in 2021, it accounted for 31% and 41% of total EU agri-food exports and imports, respectively. The value of EU agri-food trade under preferential agreements expanded more in relative terms compared to total EU agri-food trade. EU agri-food ex

Food inflation in Brazil in the COVID-19 pandemic period, continuity and change

Since 2007, food prices have risen more sharply than the set of consumer prices in Brazil. The objective of the work is to compare food inflation in the first half of 2020 with that of 2007 and 2019, checking if there have been changes in its characteristics and reasons. Information from the Instituto Brasileiro de Geografia e Estatistica (IBGE) is used to analyze the Extended National Consumer Price Index (IPCA) at different levels of aggregation. Between 2007 and 2019, prices of food outside the home expanded more than that of food at home. Among the components of this, the prices of the least processed increased more than those of the most processed, indicating that the origin of food inflation was agricultural, with meat having a great contribution to the fact. In turn, in the first half of 2020, non-tradable products, beans, rice and fruits, vegetables and greens, were the ones that put the most pressure on inflation. Throughout the period, conditions of foreign trade, international price and exchange rate, had a strong influence on food inflation. In the first half of 2020, among the causes, increased demand for food in supermarkets gained relevance, apparently not accompanied by the expansion of supply.

Industrial applications of selected JFS articles

As during the Covid pandemic, food technologists have important roles to play in ensuring food security, including investigating alternative foodstuffs and extending storage of foods. The protein fractions and protein isolate were rich in amino acids, which can be comparable to soy protein. In general, protein fractions and jackfruit protein isolate exhibited good foaming and emulsification properties. [Extracted from the article] Copyright of Journal of Food Science (John Wiley & Sons, Inc.) is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Canned Beans Decrease Serum Total and LDL Cholesterol in Adults with Elevated LDL Cholesterol in a 4-wk Multicenter, Randomized, Crossover Study.

BACKGROUND: Practical risk reduction strategies are needed to address cardiovascular disease. Beans can decrease LDL cholesterol; however, research into different daily amounts and varieties is warranted. OBJECTIVES: To examine the effects of canned beans (daily rotation of black, navy, pinto, dark red kidney, white kidney) in 1-cup (1CB, 180 g) and ½-cup (½CB, 90 g) daily amounts compared with a 1-cup white rice (WR) control on serum lipid and glycemic biomarkers in adults with elevated LDL cholesterol. METHODS: Adults [n = 73, mean ± SD age: 48.1 ± 14.2 y; BMI (in kg/m2): 25.9 ± 4.22; fasting serum LDL cholesterol: 3.0-5.0 mmol/L] consumed 1CB, ½CB, and WR for 4-wk treatment periods separated by ≥4-wk washouts in a multicenter, randomized, crossover study. Fasting serum LDL cholesterol (primary outcome) and other lipids and glycemic biomarkers (secondary outcomes) were measured on study days 1 and 29 of each treatment period with study day 29 values compared using repeated-measures ANCOVA, including study day 1 values as covariates. RESULTS: Treatment completion was n = 66 for 1CB, n = 68 for ½CB, and n = 64 for WR. Total cholesterol on study day 29 was lower for 1CB (P = 0.04) but not ½CB (P = 0.77) compared with WR (-5.46%, -2.74%, -0.65% changes from study day 1, respectively) and did not differ between 1CB and ½CB (P = 0.17). LDL cholesterol on study day 29 was also lower for 1CB (P = 0.002) but not ½CB (P = 0.30) compared with WR (-8.08%, -3.84%, +0.49% changes from study day 1, respectively) and did not differ between 1CB and ½CB (P = 0.11). Other lipids and glycemic biomarkers did not differ among treatments. CONCLUSIONS: Consumption of 1 cup (180 g) of canned beans of multiple varieties decreased total and LDL cholesterol in adults with elevated LDL cholesterol, supporting a practical strategy for cardiovascular disease risk reduction. This trial was registered at clinicaltrials.gov as NCT03830970.

The Impact of the COVID-19 Pandemic on Drug Use Behaviors, Fentanyl Exposure, and Harm Reduction Service Support among People Who Use Drugs in Rural Settings.

BACKGROUND: The COVID-19 pandemic has worsened the opioid overdose crisis in the US. Rural communities have been disproportionately affected by opioid use and people who use drugs in these settings may be acutely vulnerable to pandemic-related disruptions due to high rates of poverty, social isolation, and pervasive resource limitations. METHODS: We performed a mixed-methods study to assess the impact of the pandemic in a convenience sample of people who use drugs in rural Illinois. We conducted 50 surveys capturing demographics, drug availability, drug use, sharing practices, and mental health symptoms. In total, 19 qualitative interviews were performed to further explore COVID-19 knowledge, impact on personal and community life, drug acquisition and use, overdose, and protective substance use adaptations. RESULTS: Drug use increased during the pandemic, including the use of fentanyl products such as gel encapsulated "beans" and "buttons". Disruptions in supply, including the decreased availability of heroin, increased methamphetamine costs and a concomitant rise in local methamphetamine production, and possible fentanyl contamination of methamphetamine was reported. Participants reported increased drug use alone, experience and/or witness of overdose, depression, anxiety, and loneliness. Consistent access to harm reduction services, including naloxone and fentanyl test strips, was highlighted as a source of hope and community resiliency. CONCLUSIONS: The COVID-19 pandemic period was characterized by changing drug availability, increased overdose risk, and other drug-related harms faced by people who use drugs in rural areas. Our findings emphasize the importance of ensuring access to harm reduction services, including overdose prevention and drug checking for this vulnerable population.

Beyond bean counting: Is the policy effective for the innovation efficiency of wind power industry in China?

The technological innovation of wind power is crucial to energy security and energy structure transformation. The Chinese government has been committed to improving the innovation of the wind power industry for decades. Although academic researchers and wind power policymakers have been widely concerned about the absolute score of innovation output, concentrating on innovation output in isolation is ultimately insufficient. This article goes beyond bean counting and evaluates the innovation of the Chinese wind power industry from the perspective of relative efficiency, and then assesses the efforts of the government to improve innovation efficiency (IE). The study uses the data of 105 wind power listed enterprises in China over the period 2008–2019. According to the recommendation made by the existing papers, IE is defined as the capability to generate innovation outputs per unit of R&D investment. Regression analysis is applied to test the policy effect. During 2008–2019, the average value of IE of Chinese wind power industry is 0.196. The IE of wind power enterprises in eastern China (0.265) is higher than that in central and western China (0.169). Besides, the regression results indicate that all categories of wind power innovation policies contribute to the IE of wind power industry in China. Furthermore, the innovation policies issued by the departments of the State Council significantly improve the IE of wind power industry, but the innovation policies from the National People's Congress and the State Council have no significant impacts on IE. [ FROM AUTHOR] Copyright of Research Evaluation is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Impacts of Climate and Environmental Change on Bean Cultivation in China

The impact of human-caused environmental pollution and global climate change on the economy and society can no longer be underestimated. Agriculture is the most directly and vulnerably affected sector by climate change. This study used beans, the food crop with the largest supply and demand gap in China, as the research object and established a panel spatial error model consisting of multiple indicators of four factors: climate environment, economic market, human planting behavior and technical development level of 25 provinces in China from 2005 to 2019 to explore the impact of climate environmental changes on the yields of beans. The study shows that: (1) The increase in precipitation has a significant positive effect on bean yields;however, the increase in temperature year by year has a significant negative effect on bean yields;(2) carbon emissions do not directly affect bean production at present but may have an indirect impact on bean production;(3) artificial irrigation and fertilization behavior on bean production has basically reached saturation, making it difficult to continue to increase bean yields and (4) the development of technology and human activity is a mixed blessing, and the consequent inhibiting effects on bean production are currently unable to offset their promoting effects. Thus, when it comes to bean cultivation, China should focus mainly on the overall impact of environmental changes on its production, rather than technical enhancements such as irrigation and fertilization. [ FROM AUTHOR] Copyright of Atmosphere is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

COVID-19 challenges to sustainable food production and consumption: Future lessons for food systems in eastern and southern Africa from a gender lens.

Despite fears that sub-Sahara Africa would be severely impacted by COVID-19, the implications of the pandemic on sustainable production and consumption have not been studied in detail. Notwithstanding, implications vary depending on country, region, and strictness of coronavirus containment measures. Thus, the impact of COVID-19 on food and nutritional security was expected to be dire in sub-Saharan Africa because of its enormous reliance on global food systems. This article explored the implications of COVID-19 on sustainable production and consumption by focusing on common beans, vegetables, fish, and fruits produced and consumed in rural, peri-urban and urban areas. Two surveys were conducted to collect quantitative data from 619 producers in rural areas and 307 consumers from peri-urban and urban areas of ten Eastern and Southern African countries. Descriptive statistics (frequencies and percentages) and chi-square test for independence were used to analyse the data. The results show that the pandemic disrupted bean production and consumption across the two sub-regions. However, Southern African farmers and consumers were disproportionately more affected. While farmers in Eastern Africa reported input market challenges, those in Southern Africa identified challenges related to marketing farm produce. We also report that home gardening in urban and peri-urban areas enhanced urban food systems' resilience to the impacts of the pandemic on food security. The study argues that short food supply chains can sustain rural and urban livelihood against adverse effects of the pandemics and contribute towards sustainable production and consumption. Therefore, local input and food distribution models and inclusive institutional and legal support for urban agriculture are crucial drivers for reducing food and nutritional insecurity, poverty, and gender inequality. They are also critical to supporting sustainable production and consumption.

Broad beans (Vicia faba) and the potential to protect from COVID-19 coronavirus infection.

Due to its high linoleic acid concentration (41%), sesame oil has been proposed to have the potential to protect from COVID-19 coronavirus (SARS-CoV-2) infection, which was characterised by the World Health Organization as a pandemic in March 2020. Unsaturated fatty acids, in general, are active against some enveloped viruses, like COVID-19 coronavirus, due to the incorporation of the fatty acid into the lipid membrane of the viral envelope causing destabilisation of its bilayer. Broad beans (Vicia faba), grown in Northern Sudan, proved to incorporate high content of unsaturated fatty acids and in particular linoleic acid (46.41%). It forms a traditional meal in Sudan and in several Middle East countries. Hence, it is here recommended to be taken as the main meal in combination with sesame oil, as it is commonly practiced in Sudan. Theoretically, it has the potential to protect from COVID-19 coronavirus infections. This proposal needs to be confirmed by further experimental and clinical research.