scholarly journals In Search of Labor Demand

2018 ◽  
Vol 108 (9) ◽  
pp. 2714-2757 ◽  
Author(s):  
Paul Beaudry ◽  
David A. Green ◽  
Ben M. Sand
Keyword(s):  
Labor Demand ◽  
Search Frictions ◽  
Wage Elasticity ◽  
Firm Creation ◽  
New Firm ◽  
The Difference ◽  
The Impact ◽  
The City

We propose and estimate a novel specification of labor demand which encompasses search frictions and the role of entrepreneurs in new firm creation. Using city-industry variation over four decades, we estimate the wage elasticity of employment demand to be close to −1 at the industry-city level and −0.3 at the city level. We argue that the difference between these estimates reflects the congestion externalities predicted by the search literature. Our estimates also indicate that entrepreneurship should be treated as a scarce factor in the determination of labor demand. We use our estimates to evaluate the impact of large changes in the minimum wage on employment. (JEL J23, J31, J38, L26, M13, R23)

scholarly journals Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach

2021 ◽  
Vol 13 (2) ◽  
pp. 804
Author(s):  
Jean Dubé ◽  
Maha AbdelHalim ◽  
Nicolas Devaux
Keyword(s):  
Housing Price ◽  
Hedonic Pricing ◽  
Environmental Amenities ◽  
Sale Price ◽  
Difference In Differences ◽  
Hedonic Pricing Model ◽  
The Difference ◽  
And Control ◽  
The Impact ◽  
The City

Many applications have relied on the hedonic pricing model (HPM) to measure the willingness-to-pay (WTP) for urban externalities and natural disasters. The classic HPM regresses housing price on a complete list of attributes/characteristics that include spatial or environmental amenities (or disamenities), such as floods, to retrieve the gradients of the market (marginal) WTP for such externalities. The aim of this paper is to propose an innovative methodological framework that extends the causal relations based on a spatial matching difference-in-differences (SM-DID) estimator, and which attempts to calculate the difference between sale price for similar goods within “treated” and “control” groups. To demonstrate the potential of the proposed spatial matching method, the researchers present an empirical investigation based on the case of a flood event recorded in the city of Laval (Québec, Canada) in 1998, using information on transactions occurring between 1995 and 2001. The research results show that the impact of flooding brings a negative premium on the housing price of about 20,000$ Canadian (CAN).

scholarly journals The Role of Internal Control in Firms’ Coping with the Impact of the COVID-19 Pandemic: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 6294
Author(s):  
Peiqing Zhu ◽  
Jianbo Song
Keyword(s):  
Internal Control ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Negative Impact ◽  
Risk Prevention ◽  
High Tech ◽  
Obvious Effect ◽  
The Difference ◽  
The Impact

Internal control plays a role in risk prevention for firms when dealing with serious emergencies, which ensures the sustainable development of firms during a crisis. Based on the rapid outbreak of COVID-19 in China, this paper empirically tests whether internal control alleviates the negative impact of the pandemic on firm performance. Using a sample of Chinese listed firms from the first quarter of 2019 to the third quarter of 2020 and employing the difference-in-difference (DID) method, we find that the firms with a higher quality of internal control achieve better financial performance during the pandemic period; the more serious the pandemic is, the more obvious effect internal control plays. Furthermore, we consider the industry heterogeneity and firm heterogeneity of the risk resistance effect of internal control. In the manufacturing industry, which is a “disaster zone” of the pandemic, and the non-high-tech industry with a low degree of digitization, internal control can play a more important role in firms’ performance. Moreover, for state-owned enterprises, and firms with strong financing constraints, the role of internal control is more prominent. The above results provide empirical evidence for the risk prevention function of internal control and shed new light on the measures for firms to resist emergencies in the future.

scholarly journals The role of L/W in the solar radiation for Saharian cities

2019 ◽  
Vol 91 ◽  
pp. 05006
Author(s):  
Rami Qaoud ◽  
Alkama Djamal
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Energy Levels ◽  
Direct Solar Radiation ◽  
Test Field ◽  
Natural Lighting ◽  
The Difference ◽  
The Impact ◽  
The Relationship

The urban fabric of the desert cities is based on the principle of reducing the impact of urban canyons on direct solar radiation. Here comes this research, which is based on a comparative study of the periods of direct solarisation and values of the solar energy of urban canyons via two urban fabrics that have different building densities, where the ratio between L/W is different. In order to obtain the real values of the solar energy (thermal, lighting), the test field was examined every two hours, each three consecutive days. The measurement stations are positioned by the three types of the relationship between L/W, (L≥2w, L=w, L≤0.5w). According to the results, we noticed and recorded the difference in the periods of direct solarization between the types of urban engineering canyons, reaching 6 hours a day, the difference in thermal values of air, reaching 4 °C, and the difference in periods of direct natural lighting, reaching 6 hours. It should be noted that the role of the relationship between L/W is to protect the urban canyons by reducing the impact of direct solar radiation on urban canyons, providing longer hours of shading, and reducing solar energy levels (thermal, lighting) at the urban canyons. This research is classified under the research axis (the studies of external spaces in the urban environment according to the bioclimatic approach and geographic approach). But this research aims to focus on the tracking and studying the distribution of the solar radiation - thermal radiation and lighting radiation - in different types of street canyons by comparing the study of the direct solarization periods of each type and the quantity of solar energy collected during the solarization periods.

scholarly journals Delineating the Polarized and Unpolarized Parton Structure of the Nucleon

2015 ◽  
Vol 37 ◽  
pp. 1560053
Author(s):  
Pedro Jimenez-Delgado
Keyword(s):  
Parton Distribution ◽  
Distribution Functions ◽  
Distribution Analysis ◽  
Coupling Constant ◽  
Parton Distribution Functions ◽  
Careful Treatment ◽  
Future Data ◽  
The Impact

Reports on our latest extractions of parton distribution functions of the nucleon are given. First an overview of the recent JR14 upgrade of our unpolarized PDFs, including NNLO determinations of the strong coupling constant and a discussion of the role of the input scale in parton distribution analysis. In the second part of the talk recent results on the determination of spin-dependent PDFs from the JAM collaboration are reported, including a careful treatment of hadronic and nuclear corrections, as well as reports on the impact of present and future data in our understanding of the spin of the nucleon.

scholarly journals Assessing the impact of libraries – the role of ISO 16439

2018 ◽  
Vol 119 (1/2) ◽  
pp. 87-93 ◽  
Author(s):  
Claire Creaser
Keyword(s):  
Design Methodology ◽  
International Standards ◽  
Content Type ◽  
International Standard ◽  
The World ◽  
The Difference ◽  
Library Impact ◽  
The Impact

Purpose Library impact and how to evaluate it has been debated for a number of years. While the activity – the busy-ness – of the library is now routinely measured and described, the difference the library makes is less tangible and harder to measure. Libraries in all sectors and worldwide are grappling with this issue, and the purpose of this paper is to summarise international standards available to support them. Design/methodology/approach The first international standard concerning library impact, ISO 16439 Information and documentation – methods and procedures for assessing the impact of libraries, was published in 2014 after several years in development. Findings The standard describes a range of methods for assessing library impact which have been used across the world in a variety of libraries in all sectors. Originality/value This paper summarises the key methods described in the standard, and gives references for further reading.

scholarly journals A Control Based Mathematical Model for the Evaluation of Intervention Lines in COVID-19 Epidemic Spread: The Italian Case Study

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 890
Author(s):  
Paolo Di Giamberardino ◽  
Rita Caldarella ◽  
Daniela Iacoviello
Keyword(s):  
Mathematical Model ◽  
Equilibrium Points ◽  
Italian Case ◽  
Control Actions ◽  
Containment Measures ◽  
Asymptomatic Subjects ◽  
The Impact

This paper addresses the problem of describing the spread of COVID-19 by a mathematical model introducing all the possible control actions as prevention (informative campaign, use of masks, social distancing, vaccination) and medication. The model adopted is similar to SEIQR, with the infected patients split into groups of asymptomatic subjects and isolated ones. This distinction is particularly important in the current pandemic, due to the fundamental the role of asymptomatic subjects in the virus diffusion. The influence of the control actions is considered in analysing the model, from the calculus of the equilibrium points to the determination of the reproduction number. This choice is motivated by the fact that the available organised data have been collected since from the end of February 2020, and almost simultaneously containment measures, increasing in typology and effectiveness, have been applied. The characteristics of COVID-19, not fully understood yet, suggest an asymmetric diffusion among countries and among categories of subjects. Referring to the Italian situation, the containment measures, as applied by the population, have been identified, showing their relation with the government's decisions; this allows the study of possible scenarios, comparing the impact of different possible choices.

scholarly journals The Effect of Attribute Alignability on Product Purchase: The Moderating Role of Product Familiarity and Self-Construal

2021 ◽  
Vol 12 ◽  
Author(s):  
Yong Zhang ◽  
Yuwen Wen ◽  
Min Hou
Keyword(s):  
Structural Alignment ◽  
Personal Characteristics ◽  
Product Positioning ◽  
Self Construal ◽  
The Difference ◽  
Product Familiarity ◽  
High Level ◽  
The Impact ◽  
Moderating Role

Previous studies on the Structural Alignment Model suggest that people compare the alignable attributes and nonalignable attributes during the decision-making process and preference formation process. Alignable attributes are easier to process and more effective in clue extracting. Thus, it is believed that people rely more on alignable than nonalignable attributes when comparing alternatives. This article supposes that consumers’ product experience and personal characteristics also play a significant role in regulating consumers’ reliance on attribute alignability. The authors conducted three experiments to examine the moderating role of consumers’ product familiarity and self-construal in the impact of attribute alignability on consumer product purchase. The results show the following: (1) When making a purchase decision, consumers with a high level of product familiarity will rely more on nonalignable attributes, while those with a low level of product familiarity will rely more on alignable attributes. (2) The difference in consumer dependency on attribute alignability is driven by their perceived diagnosticity of attributes. (3) The dependency of consumers with different levels of familiarity on attribute alignability will be further influenced by consumers’ self-construal. Individuals with interdependent self-construal rely more on alignable attributes when unfamiliar with the product, while relying more on nonalignable attributes when familiar with the product. Individuals with independent self-construal, however, rely more on nonalignable attributes regardless of the degree of product familiarity. The conclusions of this paper can be used as references for enterprises to establish product positioning and communication strategies.

scholarly journals The Role Of Reputation In Market Entry: Evidence From French Public Procurement

2016 ◽  
Vol 32 (3) ◽  
pp. 805-814 ◽  
Author(s):  
Maher Kachour ◽  
Olivier Mamavi ◽  
Haithem Nagati
Keyword(s):  
Market Entry ◽  
Public Procurement ◽  
The European Union ◽  
Past Performance ◽  
Public Markets ◽  
Free Competition ◽  
French Firm ◽  
The Difference ◽  
The Impact

This article studies the impact of reputation on market entry in public procurement. Based on the observation of a French firm with a strong reputation, we demonstrate a significant effect of the difference in public contracts won between date t-1 and date t. Our model provides empirical proof that selection of a supplier with a strong reputation does not hinder entry in public procurement nor does it prevent free competition. This result thus questions the justification for the European Union regulation that limits the use of information on past performance to select suppliers in public markets. The findings also suggest that reputation mechanisms can help reduce uncertainty during contract execution. 

scholarly journals PRICE DETERMINATION OF CHICKEN PORRIDGE MSMEs IN FACING RAW MATERIAL COST FLUCTUATION

2019 ◽  
Vol 3 (1) ◽  
pp. 273
Author(s):  
Faizal Haris Eko Prabowo
Keyword(s):  
Raw Material ◽  
Survey Method ◽  
Selling Price ◽  
Price Determination ◽  
Material Costs ◽  
Economic Census ◽  
Revenue Streams ◽  
The Impact ◽  
The City

The culinary industry is currently one of the best industries that are developing, this has become one of the economic supports in several regions. Based on the results of the economic census report of the Tasikmalaya City in 2016 the culinary industry in percentage and number of positions was in the third position followed by the large trade industry which occupied the first position and the processing industry in the second position. This study aims to determine the impact of changes in raw material costs lucratively on the selling price determination of chicken porridge in MSMEs at the City of Tasikmalaya. The population in this study were all MSMEs chicken porridge entrepreneurs totaling 261 units, while the method used in this study was a survey method with a quantitative approach presented descriptively. The result of this study is that changes in raw material costs have an impact of 89.2% on the determination of the selling price of chicken porridge. In fact, this is clearly illustrated by the chicken porridge activists who prefer to set the selling price using a mixed method based on market costs and demand. This is because there is a concern from chicken porridge activists for the risks that they will get such as decreasing sales and automatically reducing their revenue streams.

Quantifying changes in bicycle volumes using crowdsourced data

2022 ◽  
pp. 239980832110661
Author(s):  
Ali Al-Ramini ◽  
Mohammad A Takallou ◽  
Daniel P Piatkowski ◽  
Fadi Alsaleem
Keyword(s):  
Machine Learning ◽  
The United States ◽  
Crowdsourced Data ◽  
Machine Learning Approach ◽  
Bicycle Infrastructure ◽  
The Difference ◽  
Infrastructure Investments ◽  
Using Data ◽  
The Impact ◽  
The City

Most cities in the United States lack comprehensive or connected bicycle infrastructure; therefore, inexpensive and easy-to-implement solutions for connecting existing bicycle infrastructure are increasingly being employed. Signage is one of the promising solutions. However, the necessary data for evaluating its effect on cycling ridership is lacking. To overcome this challenge, this study tests the potential of using readily-available crowdsourced data in concert with machine-learning methods to provide insight into signage intervention effectiveness. We do this by assessing a natural experiment to identify the potential effects of adding or replacing signage within existing bicycle infrastructure in 2019 in the city of Omaha, Nebraska. Specifically, we first visually compare cycling traffic changes in 2019 to those from the previous two years (2017–2018) using data extracted from the Strava fitness app. Then, we use a new three-step machine-learning approach to quantify the impact of signage while controlling for weather, demographics, and street characteristics. The steps are as follows: Step 1 (modeling and validation) build and train a model from the available 2017 crowdsourced data (i.e., Strava, Census, and weather) that accurately predicts the cycling traffic data for any street within the study area in 2018; Step 2 (prediction) use the model from Step 1 to predict bicycle traffic in 2019 while assuming new signage was not added; Step 3 (impact evaluation) use the difference in prediction from actual traffic in 2019 as evidence of the likely impact of signage. While our work does not demonstrate causality, it does demonstrate an inexpensive method, using readily-available data, to identify changing trends in bicycling over the same time that new infrastructure investments are being added.

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