Demand

Résumé

In economics, demand is the quantity of a good that consumers are willing and able to purchase at various prices during a given time. The relationship between price and quantity demand is also called the demand curve. Demand for a specific item is a function of an item's perceived necessity, price, perceived quality, convenience, available alternatives, purchasers' disposable income and tastes, and many other options. Factors influencing demand Innumerable factors and circumstances affect a consumer's willingness or to buy a good. Some of the common factors are: The price of the commodity: The basic demand relationship is between potential prices of a good and the quantities that would be purchased at those prices. Generally, the relationship is negative, meaning that an increase in price will induce a decrease in the quantity demanded. This negative relationship is embodied in the downward slope of the consumer demand curve. The assumption of a negative relationship is r

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https://en.wikipedia.org/wiki/Demand

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The Euclidean projection onto a convex set is an important problem that arises in numerous constrained optimization tasks. Unfortunately, in many cases, computing projections is computationally demanding. In this work, we focus on projection problems where the constraints are smooth and the number of constraints is significantly smaller than the dimension. The runtime of existing approaches to solving such problems is either cubic in the dimension or polynomial in the inverse of the target accuracy. Conversely, we propose a simple and efficient primal-dual approach, with a runtime that scales only linearly with the dimension, and only logarithmically in the inverse of the target accuracy. We empirically demonstrate its performance, and compare it with standard baselines.

PMLR2021

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No money, no honey? Financial versus knowledge and demand constraints on innovation

Gabriele Pellegrino

The paper adds to the literature on the barriers to innovation in two ways. First, we assess comparatively what mostly constrains firms' ability to translate investment in innovation activity into new products and processes, whether it is mainly finance, as most of the literature would suggest, or whether it is mostly knowledge and market-related aspects. Second, we suggest a method to correct for the sample selection bias that often affects empirical contributions to this scholarship. By filtering out firms that are not interested in innovation from those that struggle to engage in it, we obtain a relevant sample of potential innovators, which allows us to analyse the comparative effect of financial and non-financial barriers on innovation success. We find that demand-side factors, particularly concentrated market structure and lack of demand, are as important as financial constraints in determining firms' innovation failures. This evidence redirects attention from financial to non-financial barriers by considering traditional demand, market structure and regulation factors involved in reduced firm innovation performance. The empirical analysis is based on an unbalanced panel of firm-level data from four waves of the UK Community Innovation Survey (CIS) between 2002 and 2010 merged with data from the UK Business Structure Database. (C) 2017 Elsevier B.V. All rights reserved.

Elsevier2017

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Reviving demand-pull perspectives: The effect of demand uncertainty and stagnancy on R&D strategy

Gabriele Pellegrino

This paper looks at the effects of demand uncertainty and stagnancy on firms' decisions to engage in R&D activities and the amount of financial effort devoted to these. The paper provides a number of contributions to the innovation literature: first, it adds to the revived debate on demand-pull perspectives in innovation studies by examining demand-related (lack of) incentives to invest in innovation. Second, it complements the literature on barriers to innovation by focusing on demand-related obstacles rather than the more frequently explored financial barriers. Third, it analyses whether experiencing demand barriers is a sector-specific feature. Firms active in high-or low-tech manufacturing or in knowledge-intensive or low-tech services might be more or less dependent on demand conditions when deciding to perform R&D. We find that uncertain demand and lack of demand are perceived as two quite distinct barriers. While the perception of a lack of demand has a marked negative impact not only on the amount of investment in R&D but also the likelihood of firms to engage in R&D activities, demand uncertainty seems, on the contrary, to represent an incentive to spend more in R&D, although only in low-tech sectors. We interpret this evidence in terms of the specific phase of the innovation cycle in which decisions to invest in R&D are taken. Sectoral affiliation seems to be playing a role only for demand uncertainty, supporting the conjecture that positive expectations on the presence of adequate market demand are a necessary condition to invest in R&D.

Oxford University Press2017

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