Diffusion of environment-saving technological change— a petroleum refining case study

This paper attempts a theoretical model (Section I) of a dynamic relationship, brought about by environment-saving technological changes over time, between output and water pollution. The improvement in environmental quality is studied in terms of adoption of relatively environment-saving processes in petroleum refining industry. This is done (Section II) by empirically fitting the Gompertz function or the growth rates of diffusion of the processes by the use of multiple regression equations. Social desirability of substituting the relative environment-saving process is examined in terms of social benefit-cost analysis (Section III). Thereafter, (Section IV) an attempt is made to find social policy variables which could be used in order to accelerate diffusion of environment-saving processes. The analysis concludes that both “carrot” (incentives, say, in the form of accelerated depreciation allowances for purchase of environment-saving process equipment) as well as “stick” (in the form of stricter enforcement of water pollution control laws) are necessary for inducing adoption of the desired technological changes over time.     

Two-stage adoption of different types of pollution prevention (P2) activities

Pollution prevention (P2) remains the key pollution reduction strategy in the US despite its limited success in improving environmental performance. To aid the targeting of policies to promote the types of P2 that achieve environmental goals, this study investigates the intricate nature of P2 adoption by (1) distinguishing among three types of P2: procedural changes, input and material changes and equipment and product changes, (2) disentangling the adoption decision into a binary and a count decision, and (3) analyzing benefit- and cost-related factors. Using a sample of facilities of S&P 500 firms, I employ NB hurdle models to analyze how facilities respond to these factors in making P2 adoption decisions. I find that facilities that have lower cost of adoption due to past P2 experience have higher likelihood of adoption and higher rates of adoption of all types of P2. However, those exposed to greater threat of enforcement action find limited scope for P2 in achieving environmental compliance objectives. Some regulatory threat variables even have a negative effect. Facilities also adopt P2 to enjoy market-related benefits: final good producers are more likely to adopt P2 that appeal to consumers (input and material changes), while intermediate good producers are more likely to adopt P2 that is valued by its supply chain (procedural changes). Community characteristics and other knowledge sources are not always positively associated with the likelihood of adoption nor with the rate of adoption.     

Price setting behaviour in Latvia: Econometric evidence from CPI micro data

This paper discovers the driving forces behind Latvian firms' decisions to adjust prices by using various panel logit models, which explain the probability of observing price change by a broad set of exogenous variables. The results show that the consumer price formation in Latvia is a combination of both state-dependent and time-dependent behaviours. On the one hand, frequency of price changes depends on inflation, demand conditions, and the size of last price changes. On the other hand, we observe some elements of time-dependent price setting like price truncation and strong seasonal pattern. We also find several important differences in the price setting behaviour in cases of price increases and decreases. The fact that frequency of price changes in Latvia depends on inflation as well as demand and supply conditions allows for faster price adjustment process in the event of high distortions in the economy.     

Duration analysis of adoption of drip irrigation technology in southeastern Spain

In this paper, the process of adopting drip irrigation technology is investigated in one of the more water-scarce irrigation communities in Spain during the period 1975-2005. Why some farmers are faster to adopt this technology is investigated using duration analysis, which allows the timing of an event to be explored in a dynamic framework. The relative influence of a range of farmer, farm, economic, technology and institutional determinants is explored using discrete time models. The empirical results highlight the importance of educational factors, technological trialability, credit availability and institutional factors such as water availability and price, information networks and policy factors, as well as systematic effects that influence the adoption decision over the lifetime of the producer and over the survey period.     

Economies of scale and scope in petroleum refining

Despite evidence that aggregate consumption of complex carbohydrates has risen over the last decade, food consumption surveys suggest that fewer households are consuming less bread, pasta rice, potatoes and corn. This paper estimates systems of complex carbohydrae demand using cross-sectional data from 1977–78 and 1987–88 in order to explain this paradox. Changes in demand that are not explained by changes in prices or income are explained by variations in taste. Because tastes cannot be directly observed, the paper uses a multiple indicator and multiple cause (MIMIC) model to construct a suitable proxy variable. In the MIMIC approach, the ‘indicators’ are residuals from a household demand function that includes prices and incomes as explanatory variables, while household and demograhic proxies are ‘cause’ variables. The objectives in applying the MIMIC model are to determine the effect of consumer tastes on complex carbohydrate demand and, comparing cross-sectional survey data from two different periods, test the hypothesis that these tastes change over time. The data consist of US complex carbohydrate prices and expenditures, taken from the USDA Household Food Consumption Surveys in 1977–78 and 1987–88. The results show that structural changes in demand, or those that are not explained by changes in price, income, or the cause variables, led to an increase in complex carbohydrate demand of 5% from 1977–78 to 1987–88. However, changes in demand explained by the cause variables cause demand to fall by 9%.     

A variable threshold band approach to measuring market linkages

Uncertain and changing economic conditions can have substantial effects on price relationships in spatially separated, linked markets. Although numerous studies have analysed price relationships to characterize market linkage structures, most assume that the relationships and associated linkages are time invariant. This study extends the literature by modelling and estimating time-dependent market linkages that are conditional on changes in exogenous factors. The methodology is used to investigate price relationships in North Carolina (NC) corn and soya bean markets. Empirical results indicate that generalized market-linkage models provide a better representation of price relationships over time, improving the understanding of price discovery dynamics and marketing strategies.     

Where have all the flowers gone? Forecasting green trends in the automobile industry with a choice-based conjoint adoption model

With rising gas prices, global warming, and green thinking, all-electric vehicles are currently considered the automobile technology of the future. However, besides their advantages electric drive trains also exhibit several disadvantages. Moreover, history shows several failed attempts to establish electric vehicles. Thus, a reliable forecasting model is needed that predicts if the current trend is sustainable. We develop and empirically test a choice-based conjoint adoption model that uses individual-level preferences as a basis for prediction. Predictions are mapped to the time of the next planned purchase in order to establish the adoption process. The model extends existing research in several ways. First, no prior information, e.g., historical market data or a functional form of the adoption process, has to be integrated. Second, the model allows dynamic modifications of product specifications or competition at different points in time. Third, a no-choice option can be integrated so that a technology switch is not forced by the model itself and switching costs can be considered. The empirical results reveal different critical factors for the adoption of all-electric vehicles, such as purchase price, range, timing of the market entry, or environmental evolution, which could lead to a solid base of consumers preferring this option.     

Food Prices and Market Structure in Sweden

This paper examines retail grocery price levels across a large panel of stores in Sweden. We explain price variation across stores by market structure variables to capture differences in competition intensity and a number of store– and region–specific factors. Most of the explained variation in prices can be attributed to store–specific factors such as size and chain affiliation. Overall, the relation between market structure variables and food prices is weak, and effects are small in percentage terms. Nevertheless, higher local concentration of stores, higher regional wholesaler concentration and a lower market share of large stores are all correlated with higher prices.
JEL classification : D 43; L 13; L 81     

The Amenity Value of English Nature: A Hedonic Price Approach

Using a hedonic property price approach, we estimate the amenity value associated with proximity to habitats, designated areas, domestic gardens and other natural amenities in England. There is a long tradition of studies looking at the effect of environmental amenities and disamenities on property prices. But, to our knowledge, this is the first nationwide study of the value of proximity to a large number of natural amenities in England. We analysed 1 million housing transactions over 1996–2008 and considered a large number of environmental characteristics. Results reveal that the effects of many of these environmental variables are highly statistically significant, and are quite large in economic magnitude. Gardens, green space and areas of water within the census ward all attract a considerable positive price premium. There is also a strong positive effect from freshwater and flood plain locations, broadleaved woodland, coniferous woodland and enclosed farmland. Increasing distance to natural amenities such as rivers, National Parks and National Trust sites is unambiguously associated with a fall in house prices. Our preferred regression specifications control for unobserved labour market and other geographical factors using Travel to Work Area fixed effects, and the estimates are fairly insensitive to changes in specification and sample. This provides some reassurance that the hedonic price results provide a useful representation of the values attached to proximity to environmental amenities in England. Overall, we conclude that the housing market in England reveals substantial amenity value attached to a number of habitats, designations, private gardens and local environmental amenities.     

The socially responsible choice in a duopolistic market: A dynamic model of “ethical product” differentiation

The increasing attention of profit maximizing corporations to corporate social responsibility (CSR) is a new stylized fact of the contemporary economic environment. In our theoretical analysis we model CSR adoption as the optimal response of a profit maximizing firm to the competition of a not for profit corporate pioneer in the presence of a continuum of consumers with heterogeneous preferences towards the social and environmental features of the final good. CSR adoption implies a trade-off since, on the one side, it raises production costs but, on the other side, it leads to accumulation of “ethical capital”. We investigate conditions under which the profit maximizing firm switches from price to price and CSR competition by comparing monopoly and duopoly equilibria and their consequences on aggregate social responsibility and consumer welfare. Our findings provide a theoretical background for competition between profit maximizing incumbents and not for profit entrants in markets such as fair trade, organic food, ethical banking and ethical finance.     

The role of innovation and quality change in Japanese economic growth

This paper explores the use of time series data to isolate quality change in the Japanese economy using a hedonic procedure. We argue that the traditional approach to hedonic estimation based upon panel data sets of different brands in a given product area is extremely resource intensive and, thus, unlikely to be adopted by official statistical bodies outside of key areas, such as computers. This paper adopts a “top-down” approach to see whether more traditional measures of technical change, such as patents, can be used to separate pure inflation from quality change. If this is possible, it offers a much simpler route to estimate the role of quality change in economic growth and performance. In practice, we extend the analysis not only to include patents, but other forms of intellectual property that might reflect technology and attribute changes, such as designs, utility models and trademarks. We begin by taking a longer-term historical perspective, exploring the development of indigenous inventive capacity in Japan during the early years when R&D data are not available. It is possible to show that the rise in utility models pre-dates the main growth in patenting activity, suggesting the development in more low-level indigenous creative work prior to higher level inventive activity. The principal aim of this paper, however, is to demonstrate that it is possible to develop robust models to explain changes in the producer price index in Japan, which can then be used to re-examine Japanese growth performance over the period from about 1960. If the official Japanese statistical body has fully accounted for quality change in the price indices (i.e. produced fully quality-constant price deflators), then the official estimates of growth will be correct. However, we provide strong evidence that this is not the case. Changes in quality, proxied by the IP variables, are important determinants of prices in Japan over the period 1960 to 1995 as a whole. Indeed, we provide evidence that the true rate of growth of the Japanese economy, taking into account the rate of quality change, is significantly higher than that suggested in official statistics.     

农业地租的动态非均衡分析

资本有机构成和地权流转等因素一旦发生变化,马克思农业地租模型的结论就需要重新审视.在坚持劳动价值论和生产价格理论的基础上,运用动态非均衡分析工具,把剩余价值、资本有机构成、地权流转等变量内生化,试图建立起农业绝对地租与级差地租的动态非均衡一般分析框架.     

Structural decomposition analysis and input-output subsystems: Changes in CO2 emissions of Spanish service sectors (2000-2005)

The analysis of gas emissions by an input-output subsystem approach provides detailed insight into pollution generation in an economy. Structural decomposition analysis, on the other hand, identifies the factors behind the changes in key variables over time. Extending the input-output subsystem model to account for the changes in these variables reveals the channels by which environmental burdens are caused and transmitted throughout the production system. In this paper we propose a decomposition of the changes in the components of CO₂ emissions captured by an input-output subsystems representation. The empirical application is for the Spanish service sector, and the economic and environmental data are for years 2000 and 2005. Our results show that services increased their CO₂ emissions mainly because of a rise in the emissions generated by non-services to cover the final demand for services. The decomposed effects show a decrease in CO₂ emissions due to technological changes between 2000 and 2005 compensated by an increase in emissions caused by the rise in final demand of services. Finally, large asymmetries exist not only in the quantitative changes in the CO₂ emissions of the various services but also in the decomposed effects of these changes.     

INEQUALITY AND PANEL INCOME CHANGES: CONDITIONS FOR POSSIBILITIES AND IMPOSSIBILITIES

Income changes in an economy are usually assessed through the changes over time in cross-sectional variables such as economy-wide inequality. An alternative is to use panel data to gauge income changes among identified income recipients. In this article, we analyze these two approaches taken together, each measured in multiple ways. We establish that under specific conditions, it is impossible to have falling inequality together with divergent panel income changes. We also provide conditions explaining when rising inequality can arise together with convergent panel changes. We provide the intuition behind these results and show when such results fail to hold.     

A categorical modeling approach to analyzing new product adoption and usage in the context of the building-materials industry

A high proportion of non-adopters is prevalent in any market where the product under consideration is relatively new or has a low acceptance rate. This results in a low proportion of adopters in a representative sample. In adoption or product usage modeling such high proportion of zeros in the dependent variable may be addressed by zero-inflated models, by modeling the product adoption and usage as a function of two latent processes. This paper considers a zero-inflated ordinal-probit model for investigating adoption and usage of innovative wall-cavity insulation materials among residential homebuilders in the US. This study assumes a three-step adoption process of innovative housing materials, namely, trial adoption, intermediate adoption and complete adoption. The study uses 5757 responses from a combined ‘Annual Builder Practices Survey’ dataset comprising ten cross-sectional yearly surveys, undertaken by the NAHB Research Center, from 1996 to 2005. The research results indicate that though a higher proportion of large firms are more likely to adopt innovative insulation material, they continue using established products while slowly increasing their use of the innovative material over time. However, when smaller homebuilders adopt an innovative insulation material, it replaces the existing product from their material usage portfolio at a faster rate.     

Cryptocurrencies and Cagan’s model of hyperinflation

The drivers of the prices of Bitcoin and Ethereum are studied within a framework based on Cagan’s model of hyperinflation. In the model, the prices of the cryptocurrencies are driven by stochastic adoption and velocity shocks as well as endogenous expectations of future prices. The model is estimated with data for prices, transaction volumes, and money supplies. A majority of price fluctuations in both currencies can be attributed to shocks in adoption, velocity shocks are much less important. The money demand sensitivity to expected price changes is estimated to be larger for Bitcoin than for Ethereum, and both have higher sensitivity than fiat currencies during episodes of hyperinflation.     

The determinants of EST adoption by manufacturing plants in developing countries

This article reports on the findings of a survey undertaken in late 2001-early 2002 on the determinants of environmentally sound technology (EST) adoption by 98 plants in eight developing countries. We review the literature on technology diffusion and technology capabilities as well as empirical studies with an exclusive focus on developing countries that explicitly addressed environmental performance or EST adoption to formulate our heuristic model that guided our investigation. We examine in some detail the determinants of both prevention and abatement technologies, which has seldom been investigated, in developing countries.In full recognition of literature that cites a host of reasons that cause plants to adopt EST we take into account both contextual and plant-specific factors. We use an ordered choice model that revealed that plant-specific factors assume a pre-dominant role in explaining the adoption of higher order of complexity EST. Plant-specific factors, specifically environmental commitment, technological capabilities, and ownership, and market factors, specifically foreign involvement and water and energy price perception, matter in determining the type of technological response and thus in explaining the adoption of higher-order complexity EST. Two governmental factors, regulatory implementation strategy and international donor assistance, also play a role in the adoption of EST. However, civil society, in particular community pressure that has been identified as an important determinant of environmental performance, does not play a role because of the way the dependent variable is constructed to capture higher orders of technological complexity.     

Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence

This paper investigates the time series properties of per capita CO₂ emissions and per capita GDP levels for a sample of 86 countries over the period 1960-2000. For that purpose, we employ a state-of-the-art panel stationarity test which incorporates multiple shifts in level and slope, thereby controlling for cross-sectional dependence through bootstrap methods. Our analysis renders clear-cut evidence that per capita GDP levels are nonstationary for the world as a whole while per capita CO₂ is found to be regime-wise trend stationary. The analysis of country-groups shows that for Africa and Asia, per capita CO₂ is best described as nonstationary, while per capita GDP appears stationary around a broken trend. In addition, we find evidence of regime-wise trend stationarity in both variables for the country-groups consisting of America, Europe and Oceania. The results of our analysis carry important implications for the statistical modelling of the Environmental Kuznets curve for CO₂, since the differing order of integration in both variables for the world as a whole and for Africa and Asia calls into question the validity of panel cointegration techniques which assume that both variables are nonstationary and cointegrated with one another. Cointegration techniques would not be appropriate either for the case of America, Europe and Oceania which are characterised by per capita GDP and CO₂ emissions being stationary around a broken trend. Similar conclusions are reached when we analyse country-groups based on levels of development. Failure to properly characterise the time series properties of the data by not controlling for an unknown number of structural breaks and for cross-sectional dependence could be responsible for the fragility and lack of robustness surrounding the estimation of environmental Kuznets curves.     

Environmental Innovations in Small and Medium Sized Enterprises

Supporting and accelerating the adoption and diffusion of environmental innovations amongst small and medium sized enterprises (SMEs) is a major challenge to environmental policy makers. Research suggests that whilst SMEs possess high flexibility, their innovative capacity may be limited to incremental changes within their existing technology system and network. Twenty case studies examining the innovation adoption process in SMEs in four sectors and in five countries within the ENVIS project (commissioned by the EU) revealed great variety in factors driving this process. Findings indicate that this variation can be attributed to the character of the environmental innovation, the specific business opportunity, the regulatory setting and pressure experienced by the sector. Based on these findings an analytical framework is suggested, whereby the environmental innovative capability of SMEs is conceived as the result of an interplay between the competencies, the network relations and the strategic orientation of the company (the 'dynamic triangle'). This indicates that policy to support SME's adoption of environmental innovations has to take an integrated form, i.e. addressing and developing competence, networks and strategic orientation of SMEs simultaneously whilst remaining systemic and context sensitive.     

Exploring Links Between Innovation and Diffusion: Adoption of NO<Subscript>X</Subscript> Control Technologies at US Coal-fired Power Plants

While many studies have looked at innovation and adoption of technologies separately, the two processes are linked. Advances (and expected advances) in a single technology should affect both its adoption rate and the adoption of alternative technologies. This paper combines plant-level data on US coal-fired electric power plants with patent data pertaining to NO_X pollution control techniques to study this link. As in other studies of environmental technologies, the effect of other explanatory variables is dominated by the effect of environmental regulations, demonstrating that the mere presence of environmental technologies is not enough to encourage its usage. Nonetheless, I do find that technological advances are important for the adoption of existing combustion modification technologies. However, these advances are less important for the adoption of newer post-combustion control techniques, which are adopted only when needed to comply with the strictest emission limits.