Modelling future uptake of solar photo-voltaics and water heaters under different government incentives

To accelerate the adoption of technologies to reduce energy consumption and greenhouse gas (GHG) emissions in the residential sector, government policy makers offer a range of fiscal instruments and incentives. Despite the high costs of these schemes, methods are lagging to systematically evaluate their likely effectiveness amongst a geographical landscape of heterogeneous consumers. To address this need, a model was developed for spatial adoption of technologies such as water heaters and solar photo-voltaic panels (PVs), across housing stock, given government policy incentives. By combining features of choice modelling, Multi-Criteria Analysis (MCA) and diffusion models, it provides a capability to analyse future adoption patterns of the competing technology options under a range of features for purchase timing and choice. The model was implemented across 2.7 million residential dwellings in the State of New South Wales (NSW) of Australia to estimate future stock of PV and water heater options at geographical units of 250 households. Validation against actual numbers of PV installations at each postcode showed the model was effective at identifying high versus low adoption locations. Application to a wide range of policy scenarios, ranging from feed-in tariffs to upfront rebates, showed substantial differences in their effectiveness to accelerate uptake, and the government expenditure required.     

Do bubbles have an explosive signature in markov switching models?

We investigate nine data series previously identified as containing bubbles using Bayesian Markov switching models.  Nearly all series appear to display strong regime switching that could possibly be induced by ‘bubble’ processes, but in each case the type of model that best describes each price differs substantively.  We pay particular attention to whether these series contain transient explosive roots, a feature which has been suggested to exist in several bubble formulations.  Bayesian model averaging is employed which allows us to average across a range of submodels, so that our empirical findings are not based on only one well performing model.  We show that explosive regimes may exist in many submodels, but only when the flexibility of the model is limited in other important respects.  In particular, when Markov switching models allow for switching levels of error variance, explosive root regimes occur in only a minority of the series.     

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.     

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.     

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.     

Do production managers predict turning points? A directional analysis

This study evaluates the directional accuracy of production managers' forecasts by using a new market-timing test. By extending the directional analysis to the 4 × 4 case, this study investigates whether Japanese production managers' forecasts correctly predict turning points in production across different industries. This fills a gap in the literature that focused on predicting increase/decrease or acceleration/deceleration using directional analysis of the 2 × 2 case. It also illustrates its merit over the 2 × 2 case. This study shows that majority of the forecasts are not useful in predicting turning points in production; however, they are useful in predicting increase/decrease in production. Our findings suggest that the production managers' forecasts serve as early qualitative information of expansion and contraction on the Japanese economy and their accuracy does not differ by phases of business cycles.     

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.     

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.     

Did Japan's shopping coupon program increase spending?

In March 1999, 31 million “shopping coupons” worth 20,000 yen each were distributed to Japanese families with children and to the elderly. The coupons expired after six months and could only be used within the recipient's local community. We use variation in the number of children across families and in the number of recipients across prefectures to measure the effect of the coupons on spending. We find that coupons had a positive effect on spending on semi-durables, but no effect on spending on nondurables or services. The marginal propensity to consume on semi-durables was 0.1–0.2 when the coupons were distributed in March. The results using regional variation provide stronger evidence that spending did not fall after the coupons had been redeemed.     

Water flows,energy demand,and market analysis of the informal water sector in Kisumu,Kenya

In rapidly growing urban areas of developing countries, infrastructure has not been able to cope with population growth. Informal water businesses fulfill unmet water supply needs, yet little is understood about this sector. This paper presents data gathered from quantitative interviews with informal water business operators (n = 260) in Kisumu, Kenya, collected during the dry season. Sales volume, location, resource use, and cost were analyzed by using material flow accounting and spatial analysis tools. Estimates show that over 76% of the city's water is consumed by less than 10% of the population who have water piped into their dwellings. The remainder of the population relies on a combination of water sources, including water purchased directly from kiosks (1.5 million m³ per day) and delivered by hand-drawn water-carts (0.75 million m³ per day). Energy audits were performed to compare energy use among various water sources in the city. Water delivery by truck is the highest per cubic meter energy demand (35 MJ/m³), while the city's tap water has the highest energy use overall (21,000 MJ/day). We group kiosks by neighborhood and compare sales volume and cost with neighborhood-level population data. Contrary to popular belief, we do not find evidence of price gouging; the lowest prices are charged in the highest-demand low-income area. We also see that the informal sector is sensitive to demand, as the number of private boreholes that serve as community water collection points are much larger where demand is greatest.     

Property rights,mobile capital,and comparative advantage

Recent papers show that imperfect property rights to a natural resource – a sector-specific factor–can be a source of comparative advantage. In these models, weaker property rights attract labor–the only mobile factor – to the resource sector, increasing the country's comparative advantage for that sector. If capital in addition to labor is mobile, and if the benefits of capital are non-excludable or if the degree of property rights is endogenous, a deterioration of property rights has ambiguous effects on comparative advantage and on the equilibrium wage/rental ratio.     

Social Licence in Design: Constructive technology assessment within a mineral research and development institution

Technological innovation in the minerals industry must be driven by the need to improve performance according to social, as well as environmental, safety, efficiency and production criteria. This paper outlines the possibilities and rationale for incorporating constructive technology assessment (CTA) into technology research and development within the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) Minerals Down Under National Research Flagship (MDU). MDU represents an $80 million per year investment in transformational mineral technology. The paper reports on the development of a process called Social Licence in Design to address the future social challenges and opportunities of the technologies that may arise during implementation. Social Licence in Design utilises social research techniques to account for the perspectives and values of decision makers and likely stakeholders. Interviews with senior technologists and social scientists within MDU reveal the institutional context into which the Social Licence in Design process is to be situated and highlight key factors that may inhibit or enhance its uptake. Despite the long history of CTA the paper is the first to report on the incorporation of a CTA process to address the social implications of technology development within a mineral R&D institution.     

An assessment of two environmental and economic benefits of ‘Cash for Clunkers’

This research aims to provide a more comprehensive, life cycle accounting of two categories of environmental and economic benefits associated with the $3 billion US “Cash for Clunkers” vehicle scrappage program. First, using a life cycle emissions methodology developed in Lenski et al. (2010), we find that about 29,000 metric tons of criteria pollutant emissions were avoided, for a benefit of about $23 million; avoided carbon dioxide emissions, by comparison, provided a benefit worth $90 million. Second, we compare the market value of scrapped vehicles to the rebates provided, calculating the consumer surplus or “gift” to participants to be up to $2 billion (about $2000 to $3000 per vehicle). This is significantly more than offered in previous vehicle scrappage programs, and suggests opportunities to get more environmental and economic “bang for the buck.” Finally, these two categories of benefits are found to be heavily concentrated geographically around urban centers. About 2% of US counties (50 counties) received 50% and 30% of the aggregate benefits from avoided criteria pollutant emissions and consumer surplus from the rebates, respectively.     

Tiebout equilibria in local public good economies with spillovers

This paper analyzes the effects of spillovers on the equilibrium population distribution across jurisdictions in a local public good economy with free mobility. Spillovers are parametrized by a matrix [α_ij] where α_ij ∈ [0, 1]. When spillovers are symmetric and close to 0 or 1 (pure local public goods and pure public goods), all equilibrium jurisdiction structures are symmetric. However, any population distribution can be sustained in equilibrium for some value of the spillover parameter α. In the class of utility functions with additive externalities, we identify the unique family of utility functions for which equilibria are symmetric except for an isolated value of α. This is a class of utility functions which are linear in the public good and a power function of the private good, u(c, γ) = − A(1 − c)^β + γ. With this specification of utility, we show that an increase in α results in a more fragmented equilibrium population distribution, and that when spillovers are asymmetric and large, a jurisdiction which is more centrally located (i.e. benefits more from the public goods provided in other jurisdictions) has a larger population in equilibrium.     

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.     

Interdependencies in the energy–bioenergy–food price systems: A cointegration analysis

The present paper studies the interdependencies between the energy, bioenergy and food prices. We develop a vertically integrated multi-input, multi-output market model with two channels of price transmission: a direct biofuel channel and an indirect input channel. We test the theoretical hypothesis by applying time-series analytical mechanisms to nine major traded agricultural commodity prices, including corn, wheat, rice, sugar, soybeans, cotton, banana, sorghum and tea, along with one weighted average world crude oil price. The data consists of 783 weekly observations extending from January 1994 to December 2008. The empirical findings confirm the theoretical hypothesis that the prices for crude oil and agricultural commodities are interdependent including also commodities not directly used in bioenergy production: an increase in oil price by 1 $/barrel increases the agricultural commodity prices between 0.10 $/tonne and 1.80 $/tonne. Contrary to the theoretical predictions, the indirect input channel of price transmission is found to be small and statistically insignificant.     

How much do alternative cookstoves reduce biomass fuel use? Evidence from North India

Despite widespread global efforts to promote clean cookstoves to achieve improvements in air and forest quality, and to reduce global climate change, surprisingly little is known about the degree to which these actually reduce biomass fuel consumption in real-world settings. Using data from in-house weighing of fuel conducted in rural India, we examine the impact of cleaner cookstoves ⿿ most of which are LPG stoves ⿿ on three key outcomes related to solid fuel use. Our results suggest that using a clean cookstove is associated with daily reductions of about 4.5 kg of biomass fuel, 160 fewer minutes cooking on traditional stoves, and 105 fewer minutes collecting biomass fuels. These findings of substantial savings are robust to the use of estimators with varying levels of control for selection, and to alternative data obtained from household self-reports. Our results support the idea that efforts to promote clean stoves among poor rural households can reduce solid fuel use and cooking time, and that rebound effects toward greater amounts of cooking on multiple stoves are not sufficient to eliminate these gains. We also find, however, that households who have greater wealth, fewer members, are in less marginalized groups, and practice other health-averting behaviors, are more likely to use these cleaner stoves, which suggests that socio-economic status plays an important role in determining who benefits from such technologies. Future efforts to capture social benefits must therefore consider how to promote the use of alternative technologies by poor households, given that these households are least likely to own clean stoves.