The impact of systematic changes in weather on the supply and demand of beverages

Keles, Busra; Gómez-Acevedo, Patricia; Shaikh, Nazrul I.

doi:10.1016/j.ijpe.2017.08.002

Cited by 27 publications

(11 citation statements)

References 27 publications

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“…This is a simplified multiple regression analysis model that removes regional weights from the proposed model and represents the climate in Tokyo, the largest city in Japan, as the climate in Japan as a whole. In this step, we also confirm the functional effectiveness of the proposed model by performing a comparative analysis with the one-region representative model and the model by Keleş et al (2018).…”

Section: Empirical Analysis Of the Proposed Model 41 Analysis Methodsmentioning

confidence: 63%

“…The model by Keleş et al ( 2018) cannot capture regional differences in demand and regional characteristics of climate either, as both demand and climate are combined into one (the whole country) when analyzing nationwide demand; as described in Section 2.2. This demonstrates the superiority of the proposed model in terms of functionality when compared with the one-region representative model and the model by Keleş et al (2018).…”

Section: Comparison Between the Proposed Model And The One-region Representative Modelmentioning

confidence: 75%

“…However, the model cannot also consider regional characteristics of climate and regional differences in demand, because it is a one-region representative model like that of Mirasgedis et al (2014). The model proposed by Keleş et al (2018) is a two-stage economic model for long-term and short-term fluctuations of six beverage items in 52 states of the United States. With regard to short-term fluctuations, this model can capture regional characteristics of climate and regional differences in demand, after collating states into regions via a latent class regression model.…”

Section: Analysis Methods In the Field Of Beverage And Food Consumptionmentioning

confidence: 99%

“…With regard to both models, it is difficult to compare and analyze the differences in the demand factors for multiple items within a seasonal product group, in a cross-sectional and concise manner. Nakatani (2012), Lenten and Moosa (1999), Moosa and Baxter (2002), Mirasgedis et al (2014), Ramanathan and Muyldermans (2010), Keleş et al (2018), and others have proposed comparative analysis models among multiple items pertaining to nationwide demand for seasonal products, particularly alcoholic beverages, drinks, and food. The model developed by Nakatani (2012) is a nonlinear (logarithmic) regression model for beer and happoshu.…”

Section: Viewpoints Of Demand Analysismentioning

confidence: 99%

See 3 more Smart Citations

A Weighted Additive Model for Comparative Analysis on Demand Factors among Multiple Seasonal Products: Nationwide Demand of Japanese Alcoholic Beverages

Kurihara

Kawanaka

Yamashita

2020

IJIEOM

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The climate has recently been fluctuating globally. Such climate, which affects the demand for seasonal products, varies depending on geographical conditions. However, analysis models of previous studies on nationwide demand for seasonal products have not considered differences in climate attributed to different regions in the country. Therefore, in this study, focusing on the relationship between climate and region, we extract common characteristics on the nationwide demand factors for a seasonal product group (Japanese alcoholic beverages). We propose a new demand analysis model that enables a comparative analysis among multiple items, more accurately, cross-sectionally, and concisely by using two independent factors: meteorological factors by item and regional weights (demand). We develop a new algorithm using alternating least squares for the estimation problem of inseparable parameters generated by expressing these two factors in the form of products. The validity and effectiveness of the proposed model and algorithm were confirmed by empirical analysis using public data. This makes it possible to theoretically consider regional differences (climate and demand) for nationwide demand of seasonal products. Consequently, the proposed model can be used to conduct multifaceted analysis to situation changes such as climate fluctuations to realize effective sales and operation planning of seasonal products.

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Section: Empirical Analysis Of the Proposed Model 41 Analysis Methodsmentioning

confidence: 63%

Section: Comparison Between the Proposed Model And The One-region Representative Modelmentioning

confidence: 75%

Section: Analysis Methods In the Field Of Beverage And Food Consumptionmentioning

confidence: 99%

Section: Viewpoints Of Demand Analysismentioning

confidence: 99%

See 2 more Smart Citations

A Weighted Additive Model for Comparative Analysis on Demand Factors among Multiple Seasonal Products: Nationwide Demand of Japanese Alcoholic Beverages

Kurihara

Kawanaka

Yamashita

2020

IJIEOM

View full text Add to dashboard Cite

show abstract

“…Heat waves are important not only in the power industry but also in the petrochemical product manufacturing industry. Demand for beverages that use plastic, a product of energy manufacturing, increases by about 2.1%/°C during a heat wave and decreases by 0.4%/°C when freezing (Keles, Gomez‐Acevedo, & Shaikh, 2018). In fact, several empirical studies show that temperature is the most significant climate factor affecting energy use (Lam, 1998; Sailor & Munoz, 1997).…”

Section: Introductionmentioning

confidence: 99%

Climate impacts on geographical changes in the energy industry

et al. 2020

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Owing to global warming, ice in the Arctic Ocean has shrunk by 2.7% every 10 years since 1978, resulting in tremendous damage. This study uses the Cobb–Douglas production function to analyze the impact of abnormal weather on energy industry production using temperature and precipitation indicators. In particular, the government identified the impact of abnormal weather conditions on manufacturing and public works related to the Korean energy industry. The results showed that the numbers of freezing days and heavy rain days adversely affect public works, whereas hot and cold days and heavy rain days all positively affect the production of coal, petroleum, and chemical products. These results also led to regional risk assessments of the energy industry. This study can help in developing the 2030 industry climate change adaptation plan.

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Potential value of air: Effect of air pollution on retail store performance and customer behavior

Liu

Huang

et al. 2023

Naval Research Logistics

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External environmental factors can deeply shape customer behavior and contribute to uncertainty in retail operations. In this study, we use field data from a national fashion sporting goods retail chain to empirically study the effect on retail store performance from one important but underappreciated external environmental factor, air pollution; and investigate the potential mechanism of this air pollution's impact. We find that air pollution has an inverted U‐shaped effect on store traffic, which is attributed to a shift of customers between offline shopping and other activities with different air pollution exposure levels. The variation in store traffic caused by air pollution further leads to a U‐shaped relationship between air pollution and the retail conversion rate. In addition, air pollution can affect customer composition as well as the perceived utility of products, reflected by more men's wear and less sportswear sold in hazy weather. In view of the globally increasing air pollution problem, especially in the context of climate change, our findings highlight the importance and value of taking air pollution into account in operations and marketing management.

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The impact of systematic changes in weather on the supply and demand of beverages

Cited by 27 publications

References 27 publications

A Weighted Additive Model for Comparative Analysis on Demand Factors among Multiple Seasonal Products: Nationwide Demand of Japanese Alcoholic Beverages

A Weighted Additive Model for Comparative Analysis on Demand Factors among Multiple Seasonal Products: Nationwide Demand of Japanese Alcoholic Beverages

Climate impacts on geographical changes in the energy industry

Potential value of air: Effect of air pollution on retail store performance and customer behavior

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