Canada's Alcohol Deficit, 2007-2020: Social Cost, Public Revenue, Magnitudes of Alcohol Use, and the Per-Drink Net Deficit for a Fourteen-Year Period.

OBJECTIVE: Governments generate substantial revenue from the distribution and sale of alcoholic beverages. However, the use of this alcohol results in considerable public costs for health care, criminal justice, and economic loss of production. Because comparisons of these two sides of the same coin are limited, this study aims to estimate this net alcohol surplus or deficit in Canada and each province/territory for a 14-year study period. METHOD: Net government revenue from alcohol sales and net social costs of alcohol use were estimated for Canada and each province/territory for all years of study from 2007 to 2020, and all dollar figures were Consumer Price Index-adjusted to 2020 Canadian dollars (CAD). The net alcohol surplus/deficit was estimated as the difference. Per capita recorded alcohol sold was from administrative sources and used as proxy to calculate alcohol used by adding an estimate of unrecorded use and converting to Canadian standard drinks (CSDs). The per-drink net deficit was the net deficit divided by CSDs. RESULTS: In Canada in 2020, governments generated CAD $13.3 billion in revenue from alcohol sales, but this was offset by $19.7 billion in social costs attributable to alcohol use. This "alcohol deficit" increased by 122.0% in real-dollar terms over the study period and reached a high of $6.4 billion in 2020. In 2020, the magnitude of the alcohol used in Canada was 16.8 billion CSDs. Each of these drinks resulted in a public net deficit of $0.379. CONCLUSIONS: Both alcohol use and the resulting public alcohol deficit are high in Canada. To mitigate these losses to the well-being of Canadians and their economy, government planners, regulators, and policymakers must urgently deploy evidence-based alcohol policies toward reducing the magnitude of alcohol used in Canada.

The Problem of Limited-Supply Agreements for Medicare Price Negotiation.

This Viewpoint discusses how limited-supply agreements (introduction of generic products in reduced volumes) might thwart efforts to negotiate lower prices on prescription drugs in the US.

Five-Year Sales for Newly Marketed Prescription Drugs With and Without Initial Orphan Drug Act Designation.

This study evaluates sales revenue earned in the first 5 years for newly marketed brand-name drugs with and without an initial orphan drug designation.

Associations Between COVID-19 Alcohol Policy Restrictions and Alcohol Sales in British Columbia: Variation by Area-Based Deprivation Level.

OBJECTIVE: Government alcohol sales data were used to investigate associations between estimates of per capita age 15+ alcohol consumption, policy restrictiveness, and area-level deprivation. METHOD: We analyzed weekly consumption data (expressed as per capita age 15+ Canadian standard drinks [13.45 g of pure ethanol]) collected from all 89 local health areas in British Columbia, Canada, between April 2017 and April 2021. Our analyses were stratified by outlet type (total, on-premise, and off-premise). Our intervention was alcohol policy restrictiveness (operationalized by the Restrictiveness of Alcohol Policy Index), and our moderator was area-level deprivation (Canadian Index of Multiple Deprivation). The Restrictiveness of Alcohol Policy Index included hours of trading, the number of people permitted on site for on-premise venues, the proportion of outlets in operation, and the extent of permissible home delivery. RESULTS: Higher policy restrictiveness was associated with decreased consumption across all outlet types (ps < .001): when the most restrictive policies were implemented, consumption was reduced by 9% and 100% in off- and on-premise outlets, respectively. Area-based deprivation level modified the effect of policy restriction on per capita alcohol consumption (ps < .007): for total and off-premise consumption, the decrease was greatest among more economically deprived areas (ps < .001); for on-premise outlets, areas with a high proportion of racial and ethnic minorities increased their consumption (ps < .001). CONCLUSIONS: Alcohol-specific policy restrictions implemented in response to the COVID-19 pandemic were associated with reduced consumption. However, the magnitude and direction of change was moderated by area-based deprivation level, albeit inconsistently across various deprivation measures.

Impacts of the COVID-19 pandemic on food prices: Evidence from storable and perishable commodities in India.

The supply chain disruptions caused by the COVID-19 outbreak have led to changes in food prices globally. The impact of COVID-19 on the price of essential and perishable food items in developing and emerging economies has been lacking. Using a recent phone survey by the World Bank, this study examines the impact of the COVID-19 pandemic on the prices of the three essential food items in India. The results indicate that price of basic food items such as atta (wheat flour) and rice increased significantly during the pandemic compared to the pre-pandemic period. In contrast, during the same period, the price of onions declined significantly. The findings may suggest panic-buying, hoarding, and storability of food items. The results further reveal that remittance income and cash transfers from the government negatively affected commodity prices. Thus, this study's findings suggest that families may have shifted the demand away from essential foods during the pandemic.

Design of Fuzzy Aided Cognition System for International Economic and Trade Information under Supply Chain Management.

The existing fuzzy assistant cognition system has the problem of imperfect retrieval function, which leads to long execution time. This paper designs a fuzzy assistant cognition system of international economic and trade information under supply chain management. Hardware Part. Optimize wireless sensor and connect power interface and related accessories. In the software part, the dynamic characteristics of international economic and trade information elements are extracted, the flexible operation model of supply chain management is constructed, the demand-oriented organizational structure is established, the output set is determined by the product reasoning, and the retrieval function of fuzzy assistant cognitive system is designed by using the fuzzy association algorithm. Experimental Results. The average execution time of the fuzzy assistant cognitive system and the other two systems is 123.593 s, 165.733 s, and 169.506 s, which proves that the cognitive system integrated with supply chain management has a higher practical application value.

Assessment of without prescription antibiotic dispensing at community pharmacies in Hazara Division, Pakistan: A simulated client's study.

Antibiotics dispensing without a prescription is an irrational practice and can increase the risk of antibiotic resistance, which is a significant public health concern around the globe. This study was aimed to determine the extent to which antibiotics are supplied without prescription in the community pharmacies (CPs) at Hazara Division from November 2020 to February 2021. The simulated client method (SCM) was used, and the data were gathered, recorded, and analyzed through different statistical methods with descriptive and inferential techniques. The antibiotic dispensing was observed in CPs (90.5%), the most dispensed antibiotics were azithromycin (29.4%) and ciprofloxacin (46.5%) respectively. Furthermore, visited medical stores/ drug outlets, 9.5% of the visited stores denied dispensing of antibiotics because they preferred a referral to visit physicians (23. 9%) and (12.8%) did not had the antibiotics at the time of visits. Antibiotics were more obtainable in retail medical stores (AOR = 8.6, 95 percent Cl: 3.0-24.7; p = 0.001) than in pharmacies. In rural areas antibiotics dispensing was more (p = 0.004) as compared to urban areas. Staff members also had asked about patient's (17.7%) symptoms and drug allergies (12.3% and 3.9%), and (1.5%) they consoled them about their medications. The findings of this study indicate that nonprescription antibiotic sales are very common, despite national rules prohibiting this activity. When the simulated Client requested for any medication to relieve his or her discomfort, many antibiotics were given out without a prescription. Pharmacies/medical stores in Hazara Division selling antibiotics without a prescription are worrying and need immediate action by regulators.

Front-of-Pack Labeling in Chile: Effects on Employment, Real Wages, and Firms' Profits after Three Years of Its Implementation.

This study evaluates the impact of Chile's innovative law on Food Labeling and Advertising, enacted in June 2016, on employment and real wages and profit margins for the food and beverage manufacturing sectors in the 2016-2019 period, using unique company-specific monthly data from Chile's tax collection agency (measuring aggregate employment, real wages, average size of firms, and gross profit margins of the food and beverage manufacturing sector). Interrupted-time series analyses (ITSA) on administrative data from tax-paying firms was used and compared to synthetic control groups of sectors not affected by the regulations. ITSA results show no effect on aggregate employment nor on the average size of the firms, while they show negligible effects on real wages and gross margin of profits (as proportion of total sales), after the first two stages of the implementation (36 months), despite significant decreases in consumption in certain categories (sugar-sweetened beverages, breakfast cereals, etc.). Despite the large declines found in purchases of unhealthy foods, employment did not change and impacts on other economic outcomes were small. Though Chile's law, is peculiar there is no reason to believe that if similar regulations were adopted elsewhere, they would have different results.

Impact of the Seattle Sweetened Beverage Tax on substitution to alcoholic beverages.

INTRODUCTION: Taxes are increasingly used as a policy tool aimed at reducing consumption of sugar-sweetened beverages (SSBs), given their association with adverse health outcomes including type 2 diabetes, obesity and cardiovascular disease. However, a potential unintended consequence of such a policy could be that the tax induces substitution to alcoholic beverages. The purpose of this study is to examine the impact of the $0.0175 per ounce Seattle, Washington, Sweetened Beverage Tax (SBT) on volume sold of alcoholic beverages. METHODS: A difference-in-differences estimation approach was used drawing on universal product code-level food store scanner data on beer (N = 1059) and wine (N = 2655) products one-year pre-tax (February-November, 2017) and one and two-years post-tax (February-November, 2018 and 2019) with Portland, Oregon, as the comparison site. RESULTS: At two-years post-tax implementation, volume sold of beer in Seattle relative to Portland increased by 7% (ratio of incidence rate ratios [RIRR] = 1.07, 95% CI:1.00,1.15), whereas volume sold of wine decreased by 3% (RIRR = 0.97, 95% CI:0.95,1.00). Overall alcohol (both beer and wine) volume sold increased in Seattle compared to Portland by 4% (RIRR = 1.04, 95% CI:1.01,1.07) at one-year post-tax and by 5% (RIRR = 1.05, 95% CI:1.00,1.10) at two-years post-tax. The implied SSB cross-price elasticities of demand for beer and wine, respectively, were calculated to be 0.35 and -0.15. CONCLUSIONS: There was evidence of substitution to beer following the implementation of the Seattle SSB tax. Continued monitoring of potential unintended outcomes related to the implementation of SSB taxes is needed in future tax evaluations.

Price, quality, and market dynamics of malaria rapid diagnostic tests: analysis of Global Fund 2009-2018 data.

BACKGROUND: Rapid diagnostic tests (RDTs) for malaria are a vital part of global malaria control. Over the past decade, RDT prices have declined, and quality has improved. However, the relationship between price and product quality and their larger implications on the market have yet to be characterized. This analysis used purchase data from the Global Fund together with product quality data from the World Health Organization (WHO) and Foundation for Innovative New Diagnostics (FIND) Malaria RDT Product Testing Programme to understand three unanswered questions: (1) Has the market share by quality of RDTs in the Global Fund's procurement orders changed over time? (2) What is the relationship between unit price and RDT quality? (3) Has the market for RDTs financed by the Global Fund become more concentrated over time? METHODS: Data from 10,075 procurement transactions in the Global Fund's database, which includes year, product, volume, and price, was merged with product quality data from all eight rounds of the WHO-FIND programme, which evaluated 227 unique RDT products. To describe trends in market share by quality level of RDT, descriptive statistics were used to analyse trends in market share from 2009 to 2018. A generalized linear regression model was then applied to characterize the relationship between price and panel detection score (PDS), adjusting for order volume, year purchased, product type, and manufacturer. Third, a Herfindahl-Hirschman Index (HHI) score was calculated to characterize the degree of market concentration. RESULTS: Lower-quality RDTs have lost market share between 2009 and 2018, as have the highest-quality RDTs. No statistically significant relationship between price per test and PDS was found when adjusting for order volume, product type, and year of purchase. The HHI was 3,570, indicating a highly concentrated market. CONCLUSIONS: Advancements in RDT affordability, quality, and access over the past decade risk stagnation if health of the RDT market as a whole is neglected. These results suggest that from 2009 to 2018, this market was highly concentrated and that quality was not a distinguishing feature between RDTs. This information adds to previous reports noting concerns about the long-term sustainability of this market. Further research is needed to understand the causes and implications of these trends.

The adaptive market hypothesis and high frequency trading.

This paper uses NASDAQ order book data for the S&P 500 exchange traded fund (SPY) to examine the relationship between one-minute, informational market efficiency and high frequency trading (HFT). We find that the level of efficiency varies widely over time and appears to cluster. Periods of high efficiency are followed by periods of low efficiency and vice versa. Further, we find that HFT activity is higher during periods of low efficiency. This supports the argument that HFTs seek profits and risk reduction by actively processing information, through limit order additions and cancellations, during periods of lower efficiency and revert to more passive market-making and rebate-generation during periods of higher efficiency. These findings support the argument that the adaptive market hypothesis (AMH) is an appropriate description of how prices evolve to incorporate information.

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises.

Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China's overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.

A Mixed Methods Case Study of Food Shopping in a Community with High Infant Mortality.

In the U.S., preterm birth disproportionately impacts certain racial/ethnic groups, with Black women experiencing preterm birth at a rate 50% higher than other groups. Among the numerous factors that likely contribute to these increased rates are neighborhood characteristics, such as food environment. In this mixed-methods case study, we evaluated how pregnant women living in a predominately minority, lower income community with high preterm birth rates navigate and perceive their food environment. Qualitative interviews were performed to assess perceptions of food environment (n = 7) along with geographic and observational assessments of their food environment. Participants traveled an average of 2.10 miles (SD = 1.16) and shopped at an average of 3 stores. They emphasized the importance of pricing and convenience when considering where to shop and asserted that they sought out healthier foods they thought would enhance their pregnancy health. Observational assessments of stores' nutrition environment showed that stores with lower nutritional scores were in neighborhoods with greater poverty and a higher percent Black population. Future policies and programmatic efforts should focus on improving nutrition during pregnancy for women living in communities with high rates of poor birth outcomes. Availability, affordability, and accessibility are key aspects of the food environment to consider when attempting to achieve birth equity.

The Potential for Healthy Checkout Policies to Advance Nutrition Equity.

BACKGROUND: As the only place in a store where all customers must pass through and wait, the checkout lane may be particularly influential over consumer purchases. Because most foods and beverages sold at checkout are unhealthy (e.g., candy, sweets, sugar-sweetened beverages, and salty snacks), policymakers and advocates have expressed growing interest in healthy checkout policies. To understand the extent to which such policies could improve nutrition equity, we assessed the prevalence and sociodemographic correlates of purchasing items found at (i.e., from) checkout. METHODS: We assessed self-reported checkout purchasing and sociodemographic characteristics in a national convenience sample of adults (n = 10,348) completing an online survey in 2021. RESULTS: Over one third (36%) of participants reported purchasing foods or drinks from checkout during their last grocery shopping trip. Purchasing items from checkout was more common among men; adults < 55 years of age; low-income consumers; Hispanic, non-Hispanic American Indian or Alaska Native, and non-Hispanic Black consumers; those with a graduate or professional degree; parents; and consumers diagnosed with type 2 diabetes or pre-diabetes (p-values < 0.05). CONCLUSIONS: Purchasing foods or beverages from store checkouts is common and more prevalent among low-income and Hispanic, American Indian or Alaska Native, and Black consumers. These results suggest that healthy checkout policies have the potential to improve nutrition equity.

Compliance to Online Retail of Electronic Nicotine Delivery Systems (ENDS) in India before and after the 2018 Ban Order of the Government of India.

Since their launch globally in 2012, electronic nicotine delivery systems (ENDS) were positioned as a harm reduction strategy and cessation device but it is yet to be proven to have clinical safety or public health benefits. Instead, recent reports suggest that the tobacco industry targeted youth and sponsored research whose evidence was used to mislead policymaking. On August 28, 2018, Ministry of Health & Family Welfare's advisory banned the sale, purchase, and trade of ENDS. A survey was done in two waves. The first survey was done between August 10 and 25 2018 all websites which sold ENDS product were mapped and documented. The survey was repeated (November 30, 2018) were after the restriction to trade on ENDS was proposed by the Department of Customs. The two waves of survey found that no website, whether comprehensive e-commerce portals or dedicated ENDS marketing platforms fully complied with government orders. National and states government enforcement agencies are currently unaware of internet-based sale of ENDS. Although some states have given specific directions to stop the sale and delivery of ENDS within the state through e-commerce, there is limited monitoring and legal compliance by seller. Public health advocates need to stay vigilant and monitor the online sale and point of sale retail of ENDS to ensure strict compliance of national and state regulations.

Economic value of illegal wildlife trade entering the USA.

Illegal wildlife trade is one of the greatest threats to biodiversity. Understanding its economic value is a first step to establishing the magnitude of the problem. We develop a dataset of illegal wildlife trade prices and combine it with seizure data to estimate the economic value of illegal wildlife trade entering the USA. Using 2013 as a reference year, the results reveal that the economic value of illegal wildlife trade entering the USA was, using a conservative scenario where potential outliers were excluded, US$3.2 billion/year (uncertainty range (UR) 5th and 95th percentile of US$0.6-8.2 billion/year) and, without excluding potential outliers, US$4.3 billion/year (UR of US$1.3-9.6 billion/year). Our results for the USA alone are of a comparable magnitude to the lower bound of commonly used global estimates of the economic value of IWT of uncertain origin, suggesting that the global economic value of IWT is currently underestimated and requires an urgent revision.

Global relationships between crop diversity and nutritional stability.

Nutritional stability - a food system's capacity to provide sufficient nutrients despite disturbance - is an important, yet challenging to measure outcome of diversified agriculture. Using 55 years of data across 184 countries, we assemble 22,000 bipartite crop-nutrient networks to quantify nutritional stability by simulating crop and nutrient loss in a country, and assess its relationship to crop diversity across regions, over time and between imports versus in country production. We find a positive, saturating relationship between crop diversity and nutritional stability across countries, but also show that over time nutritional stability remained stagnant or decreased in all regions except Asia. These results are attributable to diminishing returns on crop diversity, with recent gains in crop diversity among crops with fewer nutrients, or with nutrients already in a country's food system. Finally, imports are positively associated with crop diversity and nutritional stability, indicating that many countries' nutritional stability is market exposed.

Geographic proximity, supply chain and organizational glocalized survival: China's e-commerce investments in Indonesia.

Chinese e-commerce companies are in the ascendant into the overseas market, while still lack adequate academic attention. Adopting case study and public policy approaches, this article applies the symbiosis theory, based on the fundamentals of the development data of Chinese e-commerce companies in the Indonesia market, to construct an evaluation model and proposes a strategic orientation to reaching an embedded survival and further development. Through understanding the structural characteristics and developing status of different types of Chinese e-commerce companies going overseas, a detailed investigation to the Chinese e-commerce companies investing in Indonesia has been conducted. Findings show that the production capacity cooperation stage of the two countries has a trend of asymmetric symbiosis gradually developing towards symmetric symbiosis. To promote a continuous economic cooperation between China and Indonesia, this article proposes that the national-level collaboration policies, cross-border e-commerce value chain, as well as organizational-level coordination are the key sectors for reaching the vision of symmetric symbiosis between the two countries. Sectors in infrastructure, trade, capital, and people's mindset intimacy also contribute to construct a symbiosis mechanism for capacity cooperation between the two nations.