scholarly journals Estimating the lagged effect of price discounting: a time-series study using transaction data of sugar sweetened beverages.

2021 ◽  
Author(s):  
Hiroshi Mamiya ◽  
Alexandra M Schmidt ◽  
Erica EM Moodie ◽  
David L Buckeridge
Keyword(s):  
Credible Interval ◽  
Energy Drink ◽  
Sugar Sweetened Beverages ◽  
Time Series Study ◽  
Sweetened Beverages ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Series Study ◽  
Lagged Effect

Background: Price discount is an unregulated obesogenic environmental risk factor for the purchasing of unhealthy food, including Sugar Sweetened Beverages (SSB). Sales of price discounted food items are known to increase during the period of discounting. However, the presence and extent of the lagged effect of discounting, a sustained level of sales after discounting ends, is previously unaccounted for. We investigated the presence of the lagged effect of discounting on the sales of five SSB categories, which are soda, fruits juice, sport and energy drink, sweetened coffee and tea, and sweetened drinkable yogurt. Methods: We fitted a distributed lag model to weekly volume-standardized sales and percent discounting generated by a supermarket in Montreal, Canada between 2008 and 2013. Results: While the sales of SSB increased during the period of discounting, there was no evidence of a prominent lagged effect of discounting in four of the five SSB; the exception was sports and energy drinks, where a posterior mean of 28,459 servings (95% credible interval: 2,661 to 67,253) of excess sales can be attributed to the lagged effect in the target store during the study period. Conclusions: Our results indicate that previous studies may have underestimated the effect of price discounting for some food categories.

scholarly journals Heatwave-Related Mortality Risk and the Risk-Based Definition of Heat Wave in South Korea: A Nationwide Time-Series Study for 2011–2017

2020 ◽  
Vol 17 (16) ◽  
pp. 5720 ◽  
Author(s):  
Cinoo Kang ◽  
Chaerin Park ◽  
Whanhee Lee ◽  
Nazife Pehlivan ◽  
Munjeong Choi ◽  
...  
Keyword(s):  
South Korea ◽  
Mortality Risk ◽  
Rural Areas ◽  
Urban Areas ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Definition Of ◽  
Series Study ◽  
Related Mortality

Studies on the pattern of heatwave mortality using nationwide data that include rural areas are limited. This study aimed to assess the risk of heatwave-related mortality and evaluate the health risk-based definition of heatwave. We collected data on daily temperature and mortality from 229 districts in South Korea in 2011–2017. District-specific heatwave-related mortality risks were calculated using a distributed lag model. The estimates were pooled in the total areas and for each urban and rural area using meta-regression. In the total areas, the threshold point of heatwave mortality risk was estimated at the 93rd percentile of temperature, and it was lower in urban areas than in rural areas (92nd percentile vs. 95th percentile). The maximum risk of heatwave-related mortality in the total area was 1.11 (95% CI: 1.01–1.22), and it was slightly greater in rural areas than in the urban areas (RR: 1.23, 95% CI: 0.99–1.53 vs. RR: 1.10, 95% CI: 1.01–1.20). The results differ by age- and cause-specific deaths. In conclusion, the patterns of heatwave-related mortality risk vary by area and sub-population in Korea. Thus, more target-specific heatwave definitions and action plans should be established according to different areas and populations.

scholarly journals The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona
Keyword(s):  
Natural Resources ◽  
Sustainable Tourism ◽  
Least Square ◽  
Mass Tourism ◽  
Tourist Destinations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Per Capita

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.

scholarly journals Examining Eurozone Crisis and Unemployment Relationship Using Var Models

2013 ◽  
Vol 60 (2) ◽  
pp. 85-92
Author(s):  
Dimitrios Dapontas
Keyword(s):  
Government Spending ◽  
Eurozone Crisis ◽  
Var Models ◽  
Monthly Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Negative Effect ◽  
Lag Model ◽  
The Relationship

Abstract This work examines the relationship between the Eurozone crisis and unemployment. We deploy distributed lag model using two binary (Crisis and crisis in another country) along with three (Government spending to GDP, Labor freedom, and urbanization) variables working as a long term factors applied on a six countries set (Cyprus, Greece, Ireland, Italy, Portugal and Spain respectively) spanning the period January1995-May 2012 in order to explain the unemployment change using VAR models on monthly data in contrast to longer frequency analyses. This innovative approach is determining the optimal lag length between unemployment and crises determining the time between turbulence and its effect to unemployment. The results show that optimal lag varies among two and eight months. Two variables seem to have negative effect on unemployment (Government spending to GDP, labor freedom) and one positive (urbanization).

Asymmetric Impact of Institutional Quality on Environmental Degradation: Evidence of the Environmental Kuznets Curve

2021 ◽  
Vol 13 (22) ◽  
pp. 12507
Author(s):  
Farrah Dina Abd Razak ◽  
Norlin Khalid ◽  
Mohd Helmi Ali
Keyword(s):  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Use ◽  
Institutional Quality ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
New Guidelines

This paper aims to discover the asymmetry impacts and co-integration between gross domestic product, financial development, energy use and environmental degradation by featuring institutional quality covering the Malaysia economy during the period from 1984 until 2017 using a nonlinear auto-regressive distributed lag model. The results confirm the existence of the Environmental Kuznets Curve hypothesis for both linear and nonlinear analyses, thus verifying the relevance of symmetric and asymmetric EKC hypotheses for Malaysia. Further, this study verifies the attributes of financial development and institutional quality that mitigates the concern on CO2 emissions, but contradicting results were produced on energy use. The implication of this finding provides new guidelines for Malaysia authorities to consider the asymmetries in formulating environment-related policies to maintain environmental quality and achieve their sustainable development goals.

scholarly journals The impact of education tax and investment in human capital on economic growth in Nigeria

2020 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Abubakar Aminu ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Tertiary Education ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model ◽  
The Government ◽  
Capital Development ◽  
The Impact

This paper investigated the impact of education tax and investment in human capital on economic growth in Nigeria utilizing the Non-Linear Autoregressive Distributed Lag Model of cointegration covering the period of 25 years from 1995 to 2019. The findings reveal that education tax and investment in human capital have positive and significant effect on the growth of the Nigerian economy over the sampled period. The paper recommends that in order to boost the economy, Nigeria would need to, among other policy frameworks, provide a suitable environment for ensuring macro-economic stability through effective utilization of income from education tax that will encourage increased investment in human capital in the public sector. In addition to income from education tax, for effective and speedy economic growth and development in Nigeria, the government, beneficiaries (students/parents), employers of labor and other stakeholders in the society should share the responsibility for financing primary, secondary and tertiary education, so as to provide a solid foundation for human capital development. However, as revealed in this paper, the contribution of education tax and investment in human capital is most likely to be realized over a long-run period than in the short term. Keywords: Education Tax; Investment; Human capital; Economic growth

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