Rethinking constructive technology assessment as democratic, reflective, discourse

This paper conceives technology assessment potentially to be a constructively democratic, reflective and discursive process. The paper reviews selected literature focusing on the notion and practice of constructive technology assessment (CTA). CTA aims to produce better technology in a better society, and emphasises the early involvement of a broad array of actors to facilitate social learning about technology and potential impacts. The paper presents a new perspective of CTA based on a discussion of contiguous research on the social implications and control of technology, reflexivity and reflection in the ‘risk society’ (Beck), and on public understanding and participation in science and technology. The paper concludes that the future development of CTA is well served by improved articulation or revision of core elements of the approach, for example by emphasising a concern for interaction and socio-technical criticism based on democratic principles. In addition, to conceive of CTA as a discursive activity may facilitate the analysis of the limitations in practice on the role of non-experts participating in technology assessment and the capacity for self-reflection of all actors.     

Labor supply effects of the recent social security benefit cuts: Empirical estimates using cohort discontinuities

In response to a “crisis” in Social Security financing two decades ago Congress implemented an increase in the Normal Retirement Age (NRA) of 2 months per year for cohorts born in 1938 and after. These cohorts began reaching retirement age in 2000. This paper studies the effects of these benefit cuts on recent retirement behavior. The evidence suggests that the mean retirement age of the affected cohorts has increased by about half as much as the increase in the NRA. If older workers continue to increase their labor supply in the same way, there might be important implications for the estimates of Social Security trust fund exhaustion that have played such a major role in recent discussions of Social Security reform.     

Combining conjoint analysis,scenario analysis,the Delphi method,and the innovation diffusion model to analyze the development of innovative products in Taiwan's TV market

In science and technology industries, innovative products are launched rapidly, making the lifecycle of new products ever shorter. Thus, it is important that companies understand consumers' needs and consider expert opinion when analyzing the development of a new technology. However, no studies have combined these two perspectives with regard to the development of a new product. Therefore, this research combined conjoint analysis, scenario analysis, and the Delphi method with the innovative diffusion model to analyze the development of Taiwan's TV market over the next 10 years. The results show that the outlook for demand for light-emitting diode (LED) TVs in Taiwan is very optimistic; sales of LED TVs will surpass sales of liquid crystal display TVs in 2015 in the optimistic scenario and in 2017 in the most likely scenario.     

An application of Lotka–Volterra model to Taiwan's transition from 200 mm to 300 mm silicon wafers

In this paper, we explore the innovation growth of 200 mm and 300 mm silicon wafers from Taiwan. Using the historic data, we simulate the growth of the area of 200 mm and 300 mm silicon wafers manufactured in Taiwan by the competitive Lotka–Volterra model. The parameters in the Lotka–Volterra model estimated with the realistic data are obtained numerically. The dynamic growth of competitive relationship between 200 mm silicon wafers and 300 mm silicon wafers is then analyzed. To prove the performance of the model, we further compare the famous Bass model and the Lotka–Volterra model. We also perform the equilibrium analysis to determine the long-term stability state in the simulation trajectory. Our research exhibits that 200 mm silicon wafers and 300 mm silicon wafers show a prey–predator relationship under the assumption of natural competition in the global semiconductor market. From a managerial perspective, the coefficients in the Lotka–Volterra model of exponential growth, self-interaction and cross-interaction represent the strength of product attractiveness, niche capacity and interaction for two competition products. We also find that there exists a stable equilibrium state for 200 mm silicon wafers and 300 mm silicon wafers. The prey 200 mm generation does not disappear completely; it finally settles to a constant market alongside the predator 300 mm generation.     

Observing regional divergence of Chinese nanotechnology centers

While China has emerged as one of the world's leading technological innovators, past studies have uncovered that technology centers have been overwhelmingly concentrated in Beijing and Shanghai. We take a step further to investigate whether this geographic concentration has persisted over time with nanotechnology-related patents. We apply the spatial analysis techniques and employ Gini's coefficient and global Moran's I. We additionally test the spatial patterns at four scales: the municipality, the county, the intra-metropolitan, and the distance-based.We find that while Beijing and Shanghai have remained the two dominant nanotechnology clusters, the Shanghai region, together with Jiangsu and Zhejiang, surpassed the traditionally productive Beijing–Tianjin region by 2007. We did not identify spatial autocorrelation at the province level, but at the county level, and at the scale between 20 km and 75 km. The intra-metropolitan analysis in Beijing and Shanghai further confirmed that the geographic concentration of nanotechnology is small, around 20 km. These results support the regional divergence theory and a small scale of technology diffusion, as well as the possibility of continually increasing inequality in China and its technology development.     

Towards New Forms of Participatory Technology Development

Technical change is crucial for sustainable development. Yet, it is unclear what kind of technology policy would suit such development. In this article constructive technology assessment (CTA) is offered as a model. CTA proposes broadening design by bringing together all interested parties early on and throughout the design process. CTA activities are not automatically directed at substantive goals such as those incorporated in the notion of sustainable development. The purpose of CTA is to shape technology development processes in such a way that social aspects are symmetrically considered in the process itself. To evaluate and shape CTA processes three criteria are offered: anticipation, reflexivity and social learning. These criteria are applied to three case-studies to illustrate their usefulness.     

The social costs of gun ownership

This paper provides new estimates of the effect of household gun prevalence on homicide rates, and infers the marginal external cost of handgun ownership. The estimates utilize a superior proxy for gun prevalence, the percentage of suicides committed with a gun, which we validate. Using county- and state-level panels for 20 years, we estimate the elasticity of homicide with respect to gun prevalence as between + 0.1 and + 0.3. All of the effect of gun prevalence is on gun homicide rates. Under certain reasonable assumptions, the average annual marginal social cost of household gun ownership is in the range $100 to $1800     

Heterogeneous treatment and self-selection in a wage subsidy experiment

The Self-Sufficiency Project (SSP) is a research and demonstration project that offered a generous time-limited income supplement to randomly selected welfare applicants under two conditions. The first, the eligibility condition, required that they remain on welfare for at least 12 months. The second, the qualification condition, required that they find a full-time job within 12 months after establishing eligibility. In this paper we focus on a neglected and important feature of the program, namely that the financial reward for becoming qualified is inversely related to the expected wage rate. Under very simple assumptions we show that those who have a low expected wage rate have a clear incentive to establish eligibility.Empirical non-parametric evidence strongly suggests that individuals self-select into eligibility. We jointly estimate a participation equation and a wage equation that are correlated through individual random effects. Our results show that the omission of self-selectivity into qualification translates into slightly underestimated treatment effects.     

Long-term global water projections using six socioeconomic scenarios in an integrated assessment modeling framework

In this paper, we assess future water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors, by incorporating water demands into a technologically-detailed global integrated assessment model of energy, agriculture, and climate change — the Global Change Assessment Model (GCAM). Base-year water demands – both gross withdrawals and net consumptive use – are assigned to specific modeled activities in a way that maximizes consistency between bottom-up estimates of water demand intensities of specific technologies and practices, and top-down regional and sectoral estimates of water use. The energy, industrial, and municipal sectors are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. We assess future water demands representing six socioeconomic scenarios, with no constraints imposed by future water supplies. The scenarios observe increases in global water withdrawals from 3710 km³ year^− 1 in 2005 to 6195–8690 km³ year^− 1 in 2050, and to 4869–12,693 km³ year^− 1 in 2095. Comparing the projected total regional water withdrawals to the historical supply of renewable freshwater, the Middle East exhibits the highest levels of water scarcity throughout the century, followed by India; water scarcity increases over time in both of these regions. In contrast, water scarcity improves in some regions with large base-year electric sector withdrawals, such as the USA and Canada, due to capital stock turnover and the almost complete phase-out of once-through flow cooling systems. The scenarios indicate that: 1) water is likely a limiting factor in meeting future water demands, 2) many regions can be expected to increase reliance on non-renewable groundwater, water reuse, and desalinated water, but they also highlight an important role for development and deployment of water conservation technologies and practices.     

Modelling transport fuel pathways: Achieving cost-effective oil use reduction in passenger cars in Sweden

Several technology and fuel options could be used to lower the strong oil dependence of the transportation sector. To formulate policies and to cost-effectively meet oil reduction objectives, assessments and comparisons of the long-term economic performances of different technology trajectories are essential. In this work, the energy and technology costs associated with reducing oil consumption in passenger cars in Sweden are calculated for a number of possible future transport fuel pathways and for different energy prices and climate policies. An optimisation model is applied in a simulatory multiple-run approach for this purpose. The model encompasses the transportation sector, as well as the stationary energy system. In terms of results, a methanol-based pathway gives incremental system costs in the range of ? 0.9–3 billion EUR for a complete phase-out of passenger car oil up to 2030. As compared to the methanol pathway, other biomass gasification-based fuel pathways involve additional incremental system costs in the region of 3 billion EUR, whereas ethanol- and electricity-based pathways give additional incremental system costs of 4–5 billion EUR. At lower oil reduction levels, the cost differences between the pathways are smaller and the electricity-based pathway is significantly more cost-competitive.     

Balance sheet in the REDD +: Are global estimates measuring the wrong costs?

This article challenges some of the assumptions underpinning the UN programme to Reduce Emissions from Deforestation and forest Degradation (REDD +) in developing countries. Firstly, it argues that the cost-effectiveness of REDD + may have been exaggerated as current estimates ignore some cost categories as well as the evolution of drivers. Whilst REDD + remains a ‘low-hanging fruit’ for climate mitigation, if all costs were included estimates would be at the high end of the currently accepted range. Secondly, the article highlights that REDD + will be affected by a large funding gap at least until the entry into force of a new climate protocol in 2020. This gap is due as much to the poor status of public finances in donor countries as to the languishing state of carbon markets, and it calls for a revision of the assumptions regarding the design of the programme. Finally, it is advocated that, in order to contribute to the development of the programme, economic research on REDD + should consider different policy options, assessing their efficiency and identifying measures that increase their cost-effectiveness.     

Measuring technological trends: A comparison between U.S. and U.S.S.R./Russian jet fighter aircraft

Measuring and forecasting technological change is a crucial issue from various points of view. This is particularly important in the case of weapon systems as this would enable technological performance and operational capabilities to be assessed in relation to potential threats. This paper measures and compares technological trends in U.S. and Soviet Union/Russian jet fighter aircraft by estimating the relationship between the first flight date and a set of performance and technical characteristics of these aircraft. From the point of view of technological advantage, we find that U.S. jet fighters were, on average, approximately 2 years ahead of the former Soviet Union/Russian jet fighters during the entire jet fighter era. Nevertheless, the technological advantage has swung from one side to the other during specific periods as particular models have been introduced. Finally, the development of 5th-generation jet fighters, in particular the development of the F-22 Raptor, has placed American technology about 20 years ahead of Russian technology, a difference that has never occurred before. This finding casts doubt on the ability of Russia, as the inheritor of the former Soviet Union aircraft industry, to match American technological progress in jet fighter aircraft.     

REDD+and community-controlled forests in low-income countries: Any hope for a linkage?

Deforestation and forest degradation are estimated to account for between 12% and 20% of annual greenhouse gas emissions and in the 1990s (largely in the developing world) released about 5.8 Gt per year, which was bigger than all forms of transport combined. The idea behind REDD + is that payments for sequestering carbon can tip the economic balance away from loss of forests and in the process yield climate benefits. Recent analysis has suggested that developing country carbon sequestration can effectively compete with other climate investments as part of a cost effective climate policy.This paper focuses on opportunities and complications associated with bringing community-controlled forests into REDD +. About 25% of developing country forests are community controlled and therefore it is difficult to envision a successful REDD + without coming to terms with community controlled forests. It is widely agreed that REDD + offers opportunities to bring value to developing country forests, but there are also concerns driven by worries related to insecure and poorly defined community forest tenure, informed by often long histories of government unwillingness to meaningfully devolve to communities. Further, communities are complicated systems and it is therefore also of concern that REDD + could destabilize existing well-functioning community forestry systems.     

Wind tunnel simulation and evaluation of soil conservation function of alpine grassland in Qinghai–Tibet Plateau

Aiming at studying soil conservation function of alpine grassland in the Qinghai–Tibet Plateau, this paper simulated soil erosion changes under different degrees of human disturbance in a wind tunnel laboratory. Three types of grasslands were selected, which include alpine meadow (QH-1), alpine steppe meadow (QH-2) and alpine steppe (QH-3), and the soil erosion rate was taken as the index to measure soil conservation function. The experimental results show that the soil erosion rates of three grassland samples increase with wind velocity under different treatments but the increment of erosion rate varied greatly. Under original status, soil erosion rates are in turn QH-1 < QH-2 < QH-3, which indicates that the soil conservation services are QH-1 > QH-2 > QH-3. When the aboveground vegetation was cut, the soil erosion rate change of QH-1 is the same as that of QH-3 and compared with the original status both of them changed a little. And when the root system was destroyed the erosion rates range in turn as QH-1 < QH-2 < QH-3. So the data suggest that soil conservation service for the three types of grasslands should be QH-1 > QH-2 > QH-3. The economic values of soil conservation were estimated, which include the values of organic carbon fixation, nutrient retention and reducing soil disuse.     

Assessing structural changes in the Malaysian economy: I–O approach

This study attempts to re-investigate the production structure change for the Malaysian economy through changes in the A and (I − A)^− 1 matrices over the period 1980–2005, when the planners formulated and implemented nine plans so far. Five input–output tables were published by the Department of Statistics in Malaysia for the period under study. A structural change method was carried out to analyze and assess the changes in economic efficiency. This comparative study focuses on changes in the economic structure with different levels of development over time (1980–2005). The change in the economic structure is decomposed into two initial components (technology and total output). In accordance with the results, there appear to be similarities over time in the national structure of production patterns of intermediate use of commodities. Also, the results clearly indicate a rather remarkable degree of commonality in the patterns of growth processes, with more significant differences among sectors than between tables. However, the changes within sectors, and the Malaysian table as a whole, seem to result from changes in the level of the efficiency. Technical relationship seems to have remained relatively unchanged. It is clear that the economy has not moved fast enough forward, and does not seem to be geared by, the type of exports that may sustain a dynamic industrial development, based on external markets. New evidence is revealed in this study: the efficiency degree between demand and supply side for the Malaysian economy still remain weak and changeable over the period of study.     

Functional sensitivity of testing the environmental Kuznets curve hypothesis

Conventional tests for the environmental Kuznets curve (EKC) hypothesis mostly apply a quadratic equation in modeling the non-linear relationship between environmental indices (such as air pollutants) and welfare measures (such as income per capita). If their inverted-U shaped pattern is empirically accepted with two significant regressors, the income per capita and its square transformation, the EKC hypothesis is supported. Using an OECD sample, this paper shows that the validity of testing the EKC hypothesis is sensitive to how we transform income non-linearly in sulfur and carbon EKC regressions. This paper carries out experiments on different powers of γ for transforming income non-linearly and concludes that only when 0 < γ < 1 and 1 < γ < 2 will the EKC regression demonstrate a testable non-linear cointegration relationship between the two air pollutants and income per capita. In the generalized EKC regressions estimated in this paper, although we find sulfur and carbon EKC patterns in the OECD sample, none of the EKC regressions using different γ is a cointegrating equation. This finding implies an inside critique to the EKC literature that failure of cointegration of the conventional EKC regression is not because of using the quadratic functional form, but because of the fundamentally spurious relationship between the trends of pollutants and income levels.     

Functional sensitivity of testing the environmental Kuznets curve hypothesis

Conventional tests for the environmental Kuznets curve (EKC) hypothesis mostly apply a quadratic equation in modeling the non-linear relationship between environmental indices (such as air pollutants) and welfare measures (such as income per capita). If their inverted-U shaped pattern is empirically accepted with two significant regressors, the income per capita and its square transformation, the EKC hypothesis is supported. Using an OECD sample, this paper shows that the validity of testing the EKC hypothesis is sensitive to how we transform income non-linearly in sulfur and carbon EKC regressions. This paper carries out experiments on different powers of γ for transforming income non-linearly and concludes that only when 0 < γ < 1 and 1 < γ < 2 will the EKC regression demonstrate a testable non-linear cointegration relationship between the two air pollutants and income per capita. In the generalized EKC regressions estimated in this paper, although we find sulfur and carbon EKC patterns in the OECD sample, none of the EKC regressions using different γ is a cointegrating equation. This finding implies an inside critique to the EKC literature that failure of cointegration of the conventional EKC regression is not because of using the quadratic functional form, but because of the fundamentally spurious relationship between the trends of pollutants and income levels.     

From information technology to bioinformatics: Evolution of technological capabilities in India

This paper explores a trend in the development of innovation in emerging economies: exaptive technological capabilities. A growing proportion of innovation is originating in emerging economies that, being resource-constrained in a dynamic and uncertain environment, requires leveraging existing capabilities and recombining with new knowledge resources. An evolutionary biology model is applied to a process model whereby initial technological capabilities are renewed by the firm given an external selection event. Using a detailed case study across 6 years, this paper investigates the exaptation process of Information Technology (IT) capabilities into bioinformatics by an Indian IT firm, Tata Consultancy Services (TCS). Findings suggest that just leveraging existing technological capabilities alone is a model set for failure. Such a tactic ignores the environment of the new technology application area. By investing in the needed complementary resources, TCS corrected its initial path to open source their software and offer consulting services on how to utilize the software and, thus, create intellectual property. These insights are valuable not only for the innovation management of traditional IT services to life sciences, but more broadly for firms in emerging economies that hope to renew and build exaptive technological capabilities to enter unforeseen new application areas by leveraging existing technological capabilities.     

Quantifying the sustainability of economic resource networks: An ecological information-based approach

Sustainability as a concept has multiple disparate perspectives stemming from different related disciplines which either maintain ambiguous interpretations or concentrate on metrics pertaining to single aspects of a system. Given the embedded multi-dimensionality of sustainability, systemic approaches are needed that can cope with interactions of different dimensions. Past efforts for measuring sustainability holistically have taken an accounting approach based on the availability and efficiency of resource flows. However, an accounting approach fails to fully incorporate the intensive parameters pertaining to sustainability. An ecological information-based approach is a promising holistic measurement which incorporates both intensive and extensive dimensions of sustainability. This paper evaluates this approach by applying it to six economic resource trade flow networks: virtual water, oil, world commodity, OECD + BRIC commodity, OECD + BRIC foreign direct investment, and iron and steel. From the perspective of biomimicry, it appears that these networks can achieve higher levels of efficiency without weakening their robustness to resource delivery. The trends of measured efficiency and redundancy of the studied networks are demonstrated to be useful in reflecting long term changes while the trend in robustness levels were found to exhibit similar behavior to an ecosystem in its early phase of development.