Understanding the trend to mobile-only internet connections:A decomposition analysis

A growing portion of internet users rely solely on mobile devices such as smartphones for their online access. The percentage of “mobile-only” households increased from 9% in 2011 to 20% in 2015, more than doubling in only four years. As this shift continues, it leads to the question of what factors are driving the rise in mobile-only adoption. Using nationally representative data, this study uses logistic regressions and a decomposition technique to understand the trend. The decomposition reveals that a significant portion (65%) of the growth was due to an increase in the download speeds of mobile networks. An increased acceptance of mobile-only access by households aged 55 and older was also partly responsible. Understanding (and developing a response to) the trend towards mobile-only adoption will be important as organizations and governments continue to work to close the digital divide.     

Mandatory IFRS adoption and management forecasts: The impact of enforcement changes

We examine how concurrent enforcement changes affect the positive relationship between mandatory IFRS adoption and firms’ voluntary disclosure. We show that the increase in the issuance of management forecasts after IFRS adoption is smaller for firms from IFRS-mandating countries with concurrent enforcement changes than for those from countries without such changes. We find no difference in the increase of forecast informativeness between firms from IFRS-mandating countries without concurrent enforcement changes and firms from non-IFRS-mandating countries; however, firms domiciled in IFRS-mandating countries with concurrent enforcement changes exhibit a significantly smaller increase in forecast informativeness. Our findings suggest that better IFRS enforcement distinctly weakens (strengthens) the positive effect of IFRS adoption on voluntary (mandatory) disclosure.     

Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies

A model of farmer decision making is developed to determine the extent to which uncertainties about soil fertility and weather affect the value of site-specific technologies (SSTs) using jointly estimated risk and technology parameters. Uncertainty can lead risk-averse farmers to apply more fertilizers and generate more pollution than in the certainty case. Ignoring uncertainty and risk aversion would overestimate the economic and environmental benefits of SSTs and underestimate the subsidy required to induce adoption. Accounting for uncertainties and risk preferences might explain the low observed adoption rates of SSTs. Improving the accuracy of SSTs would increase the incentives for adoption.     

The Recognition and Timing of Deferred Tax Liabilities

Abstract:   This paper examines the characteristics of firms that account for deferred tax liabilities related to government investment grants under an extended adoption timing period. Not only the recognition but also the timing decision is associated with changes in future performance and changes in the debt structure. Recognisers outperform non‐recognisers in the future, while early recognition is related to post recognition performance but only for those firms that currently perform well. Changes in the balance sheet structure are also related to both decisions. Firms with recent increases in the debt level tend to postpone recognition, while currently well‐performing firms that increase their future debt level are less likely to recognise deferred taxes.     

Herd Behaviour in Adoption of Network Technologies

In technology adoption, herd behaviour can lead to a suboptimal outcome as shown, among others, by Choi (1997). However, empirics find little support for the idea that a less efficient technology can conquer the market and lock out a more efficient one. Accordingly, we improve and generalize Choi's results, by introducing an additional source of uncertainty: the economic environment. We investigate how the economic environment can affect herding and consequently the efficiency of the technology choice. The result is a smaller adoption bias. In the limit, firms may optimally experiment with the new technology that turns out to be social welfare improving.     

Skill-Specific rather than General Education: A Reason for US–Europe Growth Differences?

In this paper, we develop a model of technology adoption and economic growth in which households optimally obtain either a concept-based, general education or a skill-specific, vocational education. General education is costly to obtain, but enables workers to operate new production technologies. Firms weigh the cost of adopting and operating new technologies against increased profits and optimally choose the level of adoption. We show that an economy whose policies favor vocational education will grow slower in equilibrium than one that favors general education. More importantly, the gap between their growth rates will increase with the growth rate of available technology. By characterizing the optimal Ramsey education policy we also demonstrate that the optimal subsidy for general education increases with the growth rate of available technology. Our theory suggests that European education policies that favored specialized, vocational education might have worked well, both in terms of growth rates and welfare, during the 1960s and 1970s when available technologies changed slowly. However, in the information age of the 1980s and 1990s when new technologies emerged at a more rapid pace, they might have contributed to an increased growth gap relative to the United States.     

The Optimal Timing of Adoption of a Green Technology

We study the optimal timing of adoption of a cleaner technology and its effects on the rate of growth of an economy in the context of an AK endogenous growth model. We show that the results depend upon the behavior of the marginal utility of environmental quality with respect to consumption. When it is increasing, we derive the capital level at the optimal timing of adoption. We show that this capital threshold is independent of the initial conditions on the stock of capital, implying that capital-poor countries tend to take longer to adopt. Also, country-specific characteristics, as the existence of high barriers to adoption, may lead to different capital thresholds for different countries. If the marginal utility of environmental quality decreases with consumption, a country should never delay adoption; the optimal policy is either to adopt immediately or, if adoption costs are “too high”, to never adopt. The policy implications of these results are discussed in the context of the international debate surrounding the environmental political agenda.      

Timing and Commitment of Environmental Policy,Adoption of New Technology,and Repercussions on R&;D

We investigate the interplay between environmental policy, incentives to adoptnew technology, and repercussions on R&D. We study a model where a monopolistic upstream firm engages in R&D and sells advanced abatement technology to polluting downstream firms. We consider four different timing and commitment regimes of environmental tax and permit policies: ex post taxation (or issuing permits), interim commitment to a tax rate (a quota of permits) after observing R&D success but before adoption, and finally two types of ex antecommitment before R&D activity, one with a unique tax rate (quota of permits), the other one with a menu of tax rates (permit quotas). We study the second best tax and permit policies and rank these with respect to welfare. In particular, we find that commitment to a menu of tax rate dominates all other policy regimes.     

《抽油泵及其组件规范》采标的滞后问题

通过对2001年版API Spec 11AX《抽油泵及其组件规范》的研究分析，指出了新版标准的先进性、科学性和合理性，阐明GB／T18607—2001：API Spec 11AX(1996)《抽油泵及其组件规范》在采标中存在滞后问题。     

The adoption of information technology in the sales force

The purpose of this article is to explain why salespeople adopt information technology. The results from a cross-sectional study of 229 salespeople indicate that putting sales technology to use strongly depends on salespeople's perceptions about the technology enhancing their performance, their personal innovativeness and organizational efforts in terms of user training. Throughout the adoption process companies also need to target sales line managers-next to end users-because salespeople clearly comply with the expectations of their supervisors. Finally, the threat from competing sales professionals or peers who use similar sales technology seems to be of secondary importance for individual sales technology adoption.