Emission taxes and the adoption of cleaner technologies: The case of environmentally conscious consumers

We model a market with environmentally conscious consumers and a duopoly in which firms consider the adoption of a clean technology. We show that as pollution increases, consumers shift more resources to the environmental activities, thereby affecting negatively the demand faced by the duopoly. This effect generates incentives for firms to adopt the clean technology even in the absence of emissions taxes. When such taxes are considered, our results indicate that the benefit of adopting the clean technology is initially increasing and then decreasing in the emission tax. The range of values for which the emission tax increases this benefit becomes narrower when the consumers’ environmental awareness is stronger.     

Peers and Culture*

We analyze the evolution of culture when parents socialize children to the cultural variants that maximize child lifetime utility. Parents invest in cultural transmission by taking into account that children are also influenced by peers. We model the influence of peers by assuming that children observe different cultural variants in their peer group, assign merit to them and adopt one variant, following a probabilistic adoption rule. We show that cultural diversity is sustainable even if all parents strive to transmit the same variant. We also show that a parental demand for cultural pluralism does not guarantee cultural diversity.     

E-commerce transactions,the installed base of credit cards,and the potential mobile E-commerce adoption

Mobile e-commerce (m-commerce) relaxes consumers’ temporal and geographic purchasing constraints and encourage the establishment of omnichannel markets. It is often argued that rapid increase in smartphone penetration is the primary driver of m-commerce adoption, whereas others contend that early adoption of m-commerce applications are mostly by “relatively heavy” Internet commerce users. Brynjolfsson et al. (2013) argue that rapid increase in smartphone penetration is the primary driver of m-commerce adoption, whereas Einav et al. (2014) contend that early adoption of m-commerce applications are mostly by ‘relatively heavy’ Internet commerce users. This article explores strength of the influences within a nested multiple-service framework, where the reduced-form econometric analysis allows for interdependency between m-commerce and e-commerce services, and the installed base of credit cards. The results reveal a complex situation in which credit cards facilitate e-commerce services, whereas m-commerce adoptions are driven by prior e-commerce and online transaction activity. Also, higher respondent incomes are negatively associated with proposed m-commerce adoption. Surprisingly, privacy concerns do not affect proposed adoption independently; however, an interaction term suggests privacy remains an adoption barrier for the older persons.     

Adoption and use of mobile banking by low‐income individuals in Senegal

The wide use of mobile phones increases low‐income individuals’ access to a large range of services. One of these services is mobile banking (m‐banking). Today, m‐banking represents a key vector of financial inclusion in many countries in sub‐Saharan Africa, especially Senegal. Based on technology adoption theories applied to households in developing countries, this paper studies the determinants of the adoption and use of m‐banking. We distinguish between possession or adoption and actual use of m‐banking and examine the interdependence between these two decisions by using the Heckman sample selection model, through a sample of 1,052 individuals in the suburbs of Dakar. Our main results are that the two decisions (adoption and use) are not independent of each other. Individual characteristics, such as education, possession of a bank account, and family network effects, are determinants of the adoption, and age, gender, and being a member of a tontine are determinants of the use. A major result of this study concerns women’s low propensity to adopt m‐banking because of their low levels of education. However, compared with men, when women adopt m‐banking, they have a stronger propensity to use it.     

Should earthquake mitigation measures be voluntary or required?

This paper examines whether or not one should require homeowners to adopt cost-effective loss reduction measures (LRMs) on residential structures in earthquake prone areas. Congress is considering requiring homeowners in earthquake-prone areas to purchase earthquake insurance as a condition for a federally insured mortgage but is still debating what action should be taken regarding mitigation. We show that the incentive to voluntarily adopt LRMs is reduced if homeowners are covered by full insurance rather than being uninsured. This result holds even if individuals have accurate information on the risk and maximize expected utility. The empirical evidence indicates that few homeowners adopt mitigation measures whether they are insured or uninsured. Most individuals do not behave as if they maximize expected utility and instead seem to employ simplified decision rules which suggest that mitigation measures are unnecessary or too costly in relation to the perceived benefits. These findings suggest that it may be necessary to strengthen building codes and/or require the adoption of mitigation measures on existing structures in return for reduced earthquake insurance premiums.     

The Optimal Timing of Adoption of a Green Technology

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

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.     

Energy Transition Under Irreversibility: A Two-Sector Approach

This paper analyses the optimal energy transition of a two-sector economy (energy and final goods) under irreversible environmental catastrophe. First, it proposes a general appraisal of optimal switching problems related to energy transition showing: (1) the possibility of a catastrophe due to accumulation of pollution; and (2) technological regimes with the adoption of renewable energy. Second, it numerically shows that for given baseline parameter values, the most profitable energy transition path may correspond to the one in which the economy starts using both resources, crosses the pollution threshold by losing a part of its capital, and never adopts only clean energy. Third, it extends the model to allow for additional investment in energy saving technologies. We then find that this additional investment favours full transition to the sole use of renewable energy. It is then profitable to take advantage of these synergies by jointly promoting deployment of clean energy and providing incentives for investment in energy saving technologies.     

Time-saving innovations, time allocation, and energy use: Evidence from Canadian households

Time and energy are major inputs into the production of household goods and services. As a result, the market penetration of time-saving technologies for general household use is expected to affect both a household's (i) allocation of time across home production and leisure activities; and (ii) energy use. For example, with a household's adoption of a microwave or a dishwasher, cooking food and washing dishes will require less time, and therefore in-home meal preparation may increase. Households with microwaves or dishwashers may also opt to spend more time undertaking other production activities, inside or outside the home, or engage in more leisure (watching TV, reading, exercising). To the extent that time is reallocated from less to more energy-intensive activities in the home, residential energy use will increase as households adopt appliances that embody time-saving technology. Furthermore, an adoption of time-saving technologies for basic household chores, such as meal preparation and laundry, can impact energy use due to the fact that many time-saving technologies are more energy intensive than alternative technologies that require larger time commitments. In this paper, we use the Canadian Survey of Household Energy Use data from 2003 to examine the extent to which ownership of products that embody time-saving innovations affects time allocation and energy use at the household level.     

Social norms and emission tax multiple equilibria in adopting pollution abatement device

The effect of social norm is addressed in an adoption game, where an emission tax is used to motivate oligopolistic firms to adopt a pollution abatement device. We ask if the intrinsic motivation from social norm alone can motivate firms to participate in adoption. The multiple equilibria in the adoption game indicates two possibilities: this intrinsic motivation may or may not enhance adoption. The existing literature on equilibrium selection further suggests that the most likely outcome is that it cannot enhance adoption. Next, by keeping the assumption of symmetry, we show that if cooperation is an option for firms, then the presence of two coordination effects (social norm on adoption and cooperation benefits on output) will result in the existence of asymmetric adoptions.     

Intra-industry trade and business cycles in ASEAN

The innovation adoption literature has focused primarily on a producer's decision of whether and how much to adopt. An equally pertinent question is when to adopt, because in the case of new technologies it often ‘pays to wait’ for more information. We propose a double-limit hurdle model to analyse adoption intensity and inertia in the context of a divisible technology. The proposed framework incorporates probit or Tobit models as testable special cases. A maximum likelihood estimation framework is set out and generalized to account for heteroscedastic errors. The empirical analysis, which uses household-level data from India's semi-arid tropics, provides new insights into the factors influencing adoption inertia and intensity.     

Costs or gross benefits? – What mainly drives cross-sectional variance in Internet adoption

In this paper, we propose an empirical model of Internet adoption which takes into account the household’s desire to adopt the Internet. Our research supports three central findings. First, we determine the main factors that explain the cross-sectional variance in gross benefits. Second, we estimate the predicted probabilities that a household does not desire to adopt the Internet and that a household desires to adopt the Internet but does not because its adoption costs are higher than its gross benefits. We show that while the cross-sectional variance in the first predicted probability is high, the cross-sectional variance in the second one is low (except for the age factor). Third, we compute the predicted adoption probability assuming that the adoption costs are homogeneous across households. We show that, for a given dimension (except for the age factor), the adoption rate will be only slightly modified if the adoption costs are homogeneous across households. Our results support the argument that the digital divide is mainly due to differences in gross benefits of adoption.     

Adoption of Pollution Prevention Techniques: The Role of Management Systems and Regulatory Pressures

This paper investigates the extent to which firm level technological change that reduces unregulated emissions is driven by regulatory pressures, and firms’ technological and organizational capabilities. Using a treatment effects model with panel data for a sample of S&P 500 firms over the period 1994–1996, we find that organizational change in the form of Total Quality Environmental Management leads firms to adopt pollution prevention practices, after controlling for the effects of various regulatory pressures and firm-specific characteristics. We find that the threat of anticipated regulations and the presence of ‘complementary assets’ is important for creating the incentives and an internal capacity to undertake incremental adoption of pollution prevention techniques.     

Modelling the faddish, fashionable and efficient diffusion of agricultural technologies: A case study of the diffusion of wool testing technology in Australia

This study investigates the nature of innovation diffusion in an agricultural context. The dominant agricultural diffusion models assume that an economically rational choice is made to adopt or reject agricultural technologies. However, recent studies of agricultural innovation highlight the ‘irrational’ and potentially ‘inefficient’ nature of the diffusion in this context. To investigate how and why agricultural technologies are adopted or rejected, we examine the diffusion of wool testing technologies in the Australian wool industry using the Bass diffusion model and Abrahamson's diffusion and rejection typology. The results show that diffusion of agricultural innovation is not simply an efficient choice made to close observable performance gaps. The findings suggest that the adoption of inefficient innovations and the rejection of efficient innovations can be driven by an adopter's social context, powerful external influences and imitation within an adopter group and that these drivers change over time, suggesting an evolutionary social process underlies the diffusion of agricultural technologies.     

DOES CULTURE AFFECT ELECTORAL OUTCOMES? EVIDENCE FROM TRANSITION COUNTRIES

Why do some societies fail to adopt “good” economic institutions? Recent literature points to the role of complementarities between social norms and proposed formal rules in advancing institutional change. To shed light on one potential mechanism, we track election performance of executive parties in up to 18 post‐communist democracies over 1991–2015 to test whether cultural attitudes influenced voters' response to market reform. We show that in more individualistic cultures, reform is associated with greater reward for the incumbent in the next election. The implication is that in democracies, voters select policies and institutions that are in line with prevailing culture. (JEL O17, P35, Z1)     

A multiple perspectives view of the market case for green energy

This paper presents an exploratory evaluation of the market case for green energy. These energy sources are widely considered to have less of an ecological impact than conventional energy sources. The case for green energy is viewed from the multiple perspectives TOP (technical, organizational, personal) framework. The green energy technologies will need to meet certain technical, organizational and personal criteria and resolve key issues in order to address the barriers to market adoption. The multiple perspectives approach facilitates the evaluation of green-energy alternatives as potential new products which would enable organizations and individuals to meet both economic and green criteria that impact customer value creation. Given the present trends of increasing energy use and requirements to minimize environmental impact, green energy adoption may become a key element of strategies to ensure long-term economic growth.     

Consumer support for environmental policies: An application to purchases of green cars

This paper focuses on how consumer motivation can be tapped in order to encourage the adoption of cleaner technologies. Consumers are heterogeneous — they may be guided by intrinsic motivation or extrinsic motivation. While information provision policies (such as the energy label for cars) may be effective in encouraging certain consumers to adopt green cars, financial incentive schemes (such as subsidies or fines) may be more persuasive for extrinsically-motivated consumers. We develop a dynamic theory of adoption of environmental innovations, in which information-provision policies are followed by financial incentives (first ‘carrot’, then ‘stick’ incentives). Analysis of a survey dataset of Swiss households observes considerable heterogeneity in terms of support of information-provision or financial incentive policies, in line with our conjectures. Our results will be of particular interest to policymakers interested in guiding consumers towards cleaner technologies.     

Who you are or whom you know? Consumption interdependences in social networks

This paper presents an analysis of whether a consumer's decision to switch from one mobile phone provider to another is driven by individual consumer characteristics or by actions of other consumers in her social network. Such consumption interdependences are estimated using a unique dataset, which contains transaction data based on anonymized call records from a large European mobile phone carrier to approximate a consumer's social network. Results show that network effects have an important impact on consumers’ switching decisions: switching decisions are interdependent between consumers who interact with each other and this interdependence increases in the closeness between two consumers as measured by the calling data. In other words, if a subscriber switches carriers, she is also affecting the switching probabilities of other individuals in her social circle. The paper argues that such an approach is of high relevance to both switching of providers and to the adoption of new products.     

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.     

Building smallholder farmers' capacity to adopt climate-smart agricultural practices in flood prone areas: Lessons from Bangladesh

Currently, there is an increased interest in promoting climate-smart agricultural practices (CSAPs) around the globe, however, application of these practices may vary for different climate risk hotspots. Although, climate field schools (CFS) are conducted with the aim of empowering farmers with knowledge on the various agricultural practices, little attention has been devoted to building the capacity of smallholder farmers to facilitate adoption of appropriate CSAPs. Given the effects of climate change on agriculture, it is fundamental for agricultural sustainability to answer the question that has hardly benefited from empirical analysis in previous land use studies, which is: Do CFS build farmers' capacity to adopt CSA in flood prone areas? Cross-sectional data from 600 rural farm households in south Bangladesh is used and the recursive bivariate probit (RBP) is applied to address this knowledge gap. The results reveal that participation in CFS increases the probability of a farmer's soil salinity consciousness by 25% and eventually improves the probability to adopt climate-smart agricultural practices by 20%. We also analyzed the spillover effects of CFS participation on CSA adoption and found that there is a strong spillover effect which has important implications on the cost effectiveness and sustainability of the program. Overall, the study provides empirical evidence demonstrating that participatory approaches stimulate adoption of appropriate CSAPs by building farmers' capacity in recognizing the existing climate risk hotspots.