scholarly journals EFFECTS OF BUS-BASED DISRUPTIVE BUSINESS MODELS WITH LIMITED CAPACITY ON RAIL MONOPOLIES: SOCIAL WELFARE IMPLICATIONS

2020 ◽  
Author(s):  
ALESSANDRO AVENALI ◽  
MARTINA GREGORI ◽  
PIERFRANCESCO REVERBERI
1984 ◽  
Vol 58 (2) ◽  
pp. 181-198 ◽  
Author(s):  
James Midgley

2019 ◽  
pp. 1-24
Author(s):  
Yibai Yang

This study explores the welfare effects of patent protection in a Romer-type expanding variety model in which R&D and capital accumulation are both engines of growth. It shows that the comparison between the productivity of R&D and that of capital plays an important role in the welfare analysis. When the relative productivity of R&D compared to capital is high (low), social welfare takes an inverted-U shape for (is decreasing in) the strength of patent protection, and the welfare-maximizing degree of patent protection is no greater than (identical to) the growth-maximizing degree. Moreover, the model is calibrated to the US economy and the numerical results support these welfare implications.


Subject Firm-level inequality. Significance Income inequality has risen since the 1980s across the developed world, suggesting that general factors are affecting modern economic life more than local factors. Since the 1990s, growth in wages and productivity has decelerated. Two strands of research use thousands of individual company records based on millions of employees to illustrate that firm-level wage structures and productivity growth are diverging, intensifying the changes in equality, income and productivity. Impacts Employee sorting into high- and low-wage firms has broader welfare implications for those trapped near the bottom of income distribution. Reduced business dynamism suggests a role for anti-monopoly policies, even if it means an apparent attack on productive firms. Declining dynamism, rising productivity divergence and a greater range of business models may continue to dampen wages and productivity.


2020 ◽  
Author(s):  
Terrence August ◽  
Wei Chen ◽  
Kevin Zhu

In enterprise software markets, firms are increasingly using services-based business models built on open-source software (OSS) to compete with established, proprietary software firms. Because third-party firms can also strategically contribute to OSS and compete in the services market, the nature of competition between OSS constituents and proprietary software firms can be complex. Moreover, their incentives are likely influenced by the licensing schemes that govern OSS. We study a three-player game and examine how open-source licensing affects competition among an open-source originator, an open-source contributor, and a proprietor competing in an enterprise software market. In this regard, we examine (1) how quality investments and prices are endogenously determined in equilibrium, (2) how license restrictiveness impacts equilibrium investments and the quality of offerings, and (3) how license restrictiveness affects consumer surplus and social welfare. Although some in the open-source community often advocate restrictive licenses such as the GNU General Public License because it is not always in the best interest of the originator for the contributor to invest greater development effort, such licensing can actually be detrimental to both consumer surplus and social welfare when it exacerbates this incentive conflict. We find such an outcome in markets characterized by software providers with similar development capabilities yet cast in favor of the proprietor. In contrast, when these capabilities either become more dispersed or remain similar but tilt in favor of open source, a more restrictive license instead encourages greater effort from the OSS contributor, leads to higher OSS quality, and provides a larger societal benefit. This paper was accepted by Chris Forman, information systems.


Author(s):  
Pnina Feldman ◽  
Jun Li ◽  
Hsin-Tien Tsai

Problem definition: Congestion pricing offers an appealing solution to urban parking problems—charging varying rates across time and space as a function of congestion may shift demand and improve allocation of limited resources. It aims to increase the accessibility of highly desired public goods and to reduce traffic caused by drivers who search for available parking spaces. At the same time, complex policies make it harder for consumers to make search-based decisions. We investigate the effect of congestion pricing on consumer and social welfare. Academic/practical relevance: This paper contributes to the theory and practice of the management of scarce resources in the public sector, where welfare is of particular interest. Methodologically, we contribute to the literature on structural estimation of dynamic spatial search models. Methodology: Using data from the City of San Francisco, both before and after the implementation of a congestion-pricing parking program, SFpark, we estimate the welfare implications of the policy. We use a dynamic spatial search model to structurally estimate consumers’ search costs, distance disutilities, price sensitivities, and trip valuations. Results: We find that congestion pricing increases consumer and social welfare by more than 4% and reduces search traffic by more than 10% in congested regions compared with fixed pricing. However, congestion pricing may hurt welfare in uncongested regions, in which the focus should be on increasing utilization. Moreover, an unnecessarily complex congestion-pricing scheme makes it difficult for consumers to make search-based decisions. We find that a simpler pricing policy may yield higher welfare than a complex one. Lastly, compared with a policy that imposes limits on parking durations, congestion pricing increases social welfare by allocating the scarce resource to consumers who value it most. Managerial implications: The insights from SFpark offer important implications for local governments that consider alternatives for managing parking and congestion and for public-sector managers who evaluate the tradeoffs between approaches to manage public resources.


2019 ◽  
Vol 12 (1) ◽  
pp. 49 ◽  
Author(s):  
Se-Hak Chun

Previous studies have introduced different potential pricing strategies for cloud services. However, not much research has been done comparing subscription pricing and pay-per-use pricing, which are commonly used pricing schemes. Also, there are very few studies which analyze a two-part tariff pricing scheme for cloud services, even though this option may increasingly attract service providers as the cloud market becomes more competitive and the profit margin grows narrower. Previous research has focused on firms’ profitability rather than social welfare due to the limitations of free services. This study uses theoretical and numerical analysis to compare the social welfare and profitability of three pricing schemes commonly used by firms: subscription pricing, pay-per-use pricing, and two-part tariff pricing. It shows that the pay-per-use pricing is the best solution from the perspective of social welfare, which contrasts with the conclusion of a previous study stating that social welfare is maximized under a two-part tariff. This paper also shows that the two-part tariff is the most profitable pricing scheme for firms.


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