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.     

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.     

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.     

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.     

International trade and the geographical separation between income and enabled carbon emissions

In this paper we study how international trade allows the geographical separation between the place where carbon emissions occur and the place where income from those emissions is derived. We do so by studying the carbon emissions enabled by the primary inputs of products downstream along the production chain. We find that 18% of global carbon emissions are enabled abroad and that Developed Economies, Fossil Fuel Exporters and Asia account for 80% of the downstream emissions enabled by international trade. Both Developed Economies and Fossil Fuel Exporters exhibit a positive trade balance of enabled emissions while for Asia the opposite is true. Developed Economies and Fossil Fuel Exporters enable emissions mainly through the export of manufactured products (690 Mt) and fossil fuels (684 Mt), respectively, while Asia exhibits an outflow of enabled emissions through the import of fossil fuels (209 Mt). The measurement of enabled emissions allows the understanding of how a region's income is derived from carbon emissions occurring abroad.     

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.     

Combining choice modelling and multi-criteria analysis for technology diffusion: An application to the uptake of electric vehicles

Efforts to reduce greenhouse gas emissions in the residential sector by adopting technologies such as solar photovoltaics and electric vehicles (EVs) have major implications for the capacity of electricity distribution networks, particularly at local areas with high uptake. Consumer decisions to purchase these technologies are also influenced by several complex criteria such as costs/benefits, performance, appeal/status, risk, psychographics, and demographics. This complexity motivated the development of an innovative diffusion model, incorporating features of multi-criteria analysis and choice modelling, to estimate the adoption of these technology options spatially across the landscape of heterogeneous consumers. We test the model to forecast market share of EVs through to 2030, using the vehicle stock across all 1.5 million households in Victoria, Australia. Seven financial and non-financial criteria were included and calibrated via focus groups and a large‐scale survey. Annual change of criteria values and their elasticity to adoption were incorporated. Geographical differences in uptake of EVs were primarily due to driving distance, employment status and household income, with urban areas having about three times the proportional uptake. By testing the model for a range of incentives, we demonstrate its capability to inform and evaluate policy options.     

Forecasting future demand for large-screen television sets using conjoint analysis with diffusion model

The methodological framework proposed in this paper addresses two limitations of the basic Bass diffusion model: that it does not reflect competition among products nor does it forecast demand for products that do not exist in the marketplace. The model consists of four steps. First, to investigate consumer preferences for product attributes, we use conjoint analysis to estimate the utility function of consumers. Next we estimate the dynamic price function of each competing product to reflect technological changes and the evolving market environment. Then we derive dynamic utility function by combining the static utility function and the price function. Finally, we forecast the sales of each product using estimated market share and sales data for each period, which are derived from the dynamic utility function and from the Bass diffusion model, respectively.We apply this model to South Korea's market for large-screen televisions. The results show that (1) consumers are sensitive to picture resolution and cost and (2) in the near future, should the market see the introduction of liquid crystal display (LCD) TVs with screens larger than 50 inches, the high resolution and steep price drop of LCD will lead LCD TVs to capture a larger market share than TVs with other display types. Finally, our results show that TVs with 40-inch screens are preferred over TVs with larger screens.     

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.     

Improving estimation of the fractionally differencing parameter in the SARFIMA model using tapered periodogram

This paper presents a new method to estimate the fractional differencing parameters in the SARFIMA model. A technique of split cosine bell tapering is suggested to improve the EGPH method. The simulation study shows that the optimal split proportion and bandwidth for the EGPH with split cosine bell tapering method respectively are p = 0.1 and b = 0.9. The new method with the optimal parameters outperforms the EGPH and EGPH with cosine bell tapering. We further applied the EGPH method to estimate intraday volume series and high-frequency absolute return data. The results show that the seasonal fractionally differencing parameters are all estimated to be large, while the nonseasonal fractionally differencing parameters are all very small. This indicates that their long memory property may be mainly caused by the structure of long-range dependence at the seasonal lags instead of dependence at the nonseasonal lags.     

Growth effects of carbon policies: Applying a fully dynamic CGE model with heterogeneous capital

The paper develops a new type of computable general equilibrium (CGE) model in which growth is fully endogenous, based on the increasing specialization of sector-specific capital varieties. The model is used to simulate the effects of carbon policies on consumption, welfare, and sectoral development in the long run. The benchmark scenario is calculated based on endogenous sector-specific gains from specialization, which carry over to the simulations of a carbon policy following the 2 °C target. Applying the model to the Swiss economy, we find that carbon policy leads to growth rates of knowledge intensive sectors that are higher than in the benchmark and that all the non-energy sectors show positive growth rates. Compared to a state in which climate change has no negative effect, consumption in 2050 is reduced by 4.5% and entails a moderate but not negligible welfare loss.     

Would it have paid to be in the eurozone?

Giving up an independent monetary policy and a flexible exchange rate are the key aspects of joining a monetary union. In this paper we analyse how joining the euro area would have affected the Polish business cycle during the recent financial crisis. To this end we construct a small open economy DSGE model and estimate it for Poland and the euro area. Then we run a counterfactual simulation, assuming Poland's euro area accession in 1q2007. The results are striking — volatilities of GDP and inflation increase substantially. In particular, had Poland adopted the euro, GDP growth would have oscillated between − 6% and + 9% (− 9% to + 11% under more extreme assumptions) instead of between 1% and 7%. We conclude that during the analysed period independent monetary policy and, in particular, the flexible exchange rate played an important stabilizing role for the Polish economy.     

Integrating bank profit and risk-avoidance decisions for selected European countries: A micro–macro analysis

A two-equation integrated model is developed to capture bank profit and risk-avoidance decisions. Output is limited to customer loans. The profit function is based on output and selected inputs. Risk-avoidance (using the capitalization ratio) depends on micro and micro 1 macro interactive variables. The SUR method is used to test the hypothesis that the two functions are interdependent. Also, a single reduced-form equation is derived from the SUR model to analyze the volatility of the capitalization ratio. Five European countries and their banks for the period 1991–2001 are used to run the regressions and to test the hypothesis. The individual statistical results were generally consistent with similar results found in the literature. The Breusch–Pagan test of independence was rejected. A key finding from the volatility analysis suggests that bank profit rates are inversely related to the volatility of the banks' capitalization ratios as measured by their variances.     

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.     

Changes in the wage structure,family income,and children's education

We exploit the changes in the distribution of family income to estimate the effect of parental resources on college education. Our strategy exploits the fact that families at the bottom of the income distribution were much poorer in the 1990s than they were in the 1970s, while the opposite is true for families in the top quartile of the distribution.  Our estimates suggest large effects of family income on enrollments.  For example, we find that a 10 percent increase in family income is associated with a 1.4 percent increase in the probability of attending a four-year college.     

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.     

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.     

Solvency regulations and the management of banking risks

In the recent years, international banking authorities have succeeded implementing harmonized solvency regulations. However, two stages can be distinguished: (1) up to 1993, a rigid approach has prevailed, with the Cooke ratio for credit risks and the standardized approach to market risks; (2) since then, a movement towards flexibility has been acknowledged, notably with the validation of internal models of the VaR type and the precommitment proposal of Kupiec and O'Brien. The objective of this article is to discuss the pros and cons of these different approaches within a coherent conceptual framework that applies contract theory to the regulation of banking.     

The competition and equilibrium analysis of LCD TV and PDP TV

This study has investigated the dynamic competitive relationship between PDP TVs and LCD TVs by means of their quarterly shipments. The renowned Lotka-Volterra competition diffusion model has been adopted to conduct the empirical analysis with the Lyapunov function to carry out equilibrium and stability analysis, and estimate the domain of attraction which describes the trend and phenomenon of TV shipments. The results illustrate that there is good fitting performance while adopting this model. The competitive relationship can be viewed from the perspective that the LCD TV is the prey while the PDP TV is the predator. The possibility, nevertheless, for dropping the price of LCD TVs is an advantage of the attractiveness of the product which can be noted in higher growth rate than PDP TVs. With respect to the equilibrium stability analysis and estimated domain of attraction, 40- to 49-inch PDP TVs will not disappear from the market, but will generate a stable equilibrium with LCD TVs and sales volume presents simultaneous increase or decrease. In the supply and demand analysis, LCD TVs present a surplus of supply from 2008; therefore, how to conduct appropriate inventory management will be an emerging issue.     

Projections of oil demand in road transportation sector on the basis of vehicle ownership projections,worldwide: 1972–2020

Oil demand in the road transportation section accounts for more than 50% of total world oil consumption amongst the whole sectors, including road, aviation, railway, waterways and international marine transportation. The high demand rate of oil makes this sector the main and major oil consumer in the world. The vehicle ownership or intensity of vehicles is one of the main factors which determines the development of oil demand in this major sector.Vehicle ownership (in 1000 population) is estimated using the nonlinear Gompertz model on the basis of pooled time series (1972–2020) and cross-sections data for 154 countries. Different saturation levels for the selected countries and over time horizon is calculated by adding specific demographic and geographic variables. Then, under two different scenarios – business as usual and policy scenario – we make projections of oil demand in the road transportation sector across 154 countries by using available data up to 2020.According to the results of the model, it is predicted that the number of world total vehicles will be approximately 1.5 times higher in 2020 than in 2008. Moreover, oil demand projections for road transportation over 2009–2020 show that under business as usual scenario, world oil demand will increase to 14,748 million barrel of oil equivalent until 2020 while under the policy scenario, which is based on the fuel efficiency improvement by 20% during a period of 10 years until 2020, world oil demand in the aforementioned sector will increase only to 11601 mboe until 2020.