Infrastructure regulation and reallocations within industry: Theory and evidence from Indian firms

Many firms in developing countries adopt captive power generators to deal with expensive and unreliable supply of electricity. I present a model that combines upstream regulation with downstream heterogeneous firms in a monopolistic competition framework, where firms can pay a fixed cost to adopt this marginal cost-reducing device. The presence of captive power affects the market equilibrium by increasing the level of idiosyncratic productivity a firm needs to survive in the market and by re-allocating sales and profits towards the more productive, adopting firms. Additionally, the rate of adoption is shown to increase with the price of electricity, industries' electricity–intensity and with higher barriers to firm entry. The mechanisms I propose are present for a cross-section of Indian firms.     

Modeling farmer participation in agri-environmental nitrate pollution reducing schemes

Why do farmers choose to participate in agri-environmental programmes and how do they choose the amount of land they allocate to such programmes? This paper examines the determinant factors influencing farmers' adoption of the EU-financed agri-environmental Nitrate Reduction Programme (NRP) in Greece and the extent of the programme's adoption, in terms of land allocation. The decision to adopt the NRP is modeled as a two-step procedure. First, farmers decide whether to participate in the agri-environmental programme and second, the extent of participation is determined. We employ Heckman's self-selection bias correction model to derive unbiased estimates. Based on farm level data, we develop the profile of farmers who choose to adopt the agri-environmental programme and the characteristics of their farms. The results of the analysis provide valuable policy insights decomposed into the main factors determining first, the adoption of the agri-environmental programme and second, the extent of adoption. By decomposing the determining factors, policy makers can employ this information to design effective agri-environmental programmes, desirable to farmers and more targeted towards specific environmental and agricultural development goals.     

Product Patent Reform and its Impact on Korea's Pharmaceutical Industry

Our analysis focuses on the effect of U.S. government pressure on Korea to adopt product patents for chemical and pharmaceutical products. American pressure began in November 1985 and ended with the Korean Legislature's passage of a new patent law in December 1986. We conduct an event study of the effect of the new patent law on the value of Korean pharmaceutical firms listed on the Korea Stock Exchange. Regression analysis shows that the new law induced excess returns of-74 percent over the 14-month analysis period. The results suggest that adoption of stronger patent laws reduced Korea's wealth. [G14, O34]     

The adoption of new technology by listed companies: the case of Twitter

This study investigates the adoption of Twitter by Australian listed companies for disseminating marketing information (including corporate promotion) and for directly interacting with consumers. Based on a sample of the Top 200 Australian Securities Exchange (ASX) listed companies, we find that companies with larger market capital are more likely to adopt Twitter for static advertising, a one-way communication approach, and direct interaction with consumers, a two-way communication approach. Companies with smaller market capital that adopt Twitter for marketing communication appear to disseminate more corporate promotion information, a static advertising approach. Overall, our results indicate that the level of a company's access to resources can influence their adoption of a new technology and the manner in which it is used. This study calls for further clarification of regulation regarding marketing communication on social media and experience sharing between industry practitioners.     

Market Inertia and the Introduction of Green Products: Can Strategic Effects Justify the Porter Hypothesis?

If, according to Porter’s hypothesis, a “greener” strategy is more profitable, why may its implementation need regulatory intervention? We present a repeated Cournot duopoly where the market may exhibit inertia towards the adoption of even cost-efficient environmental goods. With consumers recognizing that a product is green only with a time lag, if a firm unilaterally adopts the green product initially loses profit due to (a) increased costs (direct effect) and (b) reduced market share (strategic effect). By imposing simultaneous adoption, regulation eliminates (b), thus enhancing long-run profitability. Through a similar mechanism a government can increase its domestic firms’ international market share and profits by forcing them to simultaneously adopt the green product.     

Taxes,permits, and the diffusion of a new technology

This study looks at the effects of the choice between taxes and permits on the pattern of adoption of a new (pollution) emissions abatement technology. It uses a dynamic setting, where the regulator observes the arrival and initial use of the technology and determines the optimal ex post amount of emissions before firms start to adopt the technology.In the model here, the adoption benefits and costs depend on the number of firms that are already using the technology. Thus, each firm decides the optimal date to adopt the technology, considering its benefits and costs, as well as the advantage they will gain over their rivals, producing a sequence of adoption that is “diffused” into the industry over time.With this framework, the study shows that when the output demand is elastic, auctioned permits induce an earlier diffusion than taxes.     

A model of the linked adoption of complementary technologies

This paper presents a dynamic feedback model of the technology diffusion process in which each firm's technology adoption decisions maximize the net present value of its anticipated cash flow, taking into account the direct cost savings, the number of linked firms expected to adopt complementary technologies, and anticipated changes in adoption costs. The adoption of complementary technologies need not be simultaneous, but linked technologies can induce a rapid industrial regime shift without explicit coordination or planning.     

OVERVALUED: SWEDISH MONETARY POLICY IN THE 1930s

The article discusses Sweden's monetary policy in the 1930s, which has been hailed as the first and only example of successful price‐level targeting. Our contribution is twofold. First, we argue that the crucial measure that immediately ended deflationary expectations and enabled a swift recovery was a strong and involuntary devaluation of the currency, not the adoption of a new monetary policy framework. Second, starting from the recent literature on monetary policy at the zero‐lower bound, we conclude that Sweden's exchange rate policy is more relevant for the current discussion than its tentative experience with price‐level targeting.     

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.     

Licensing technology to shape standards: Examining the influence of the industry context

Technology standards refer to particular technological solutions, which emerge as the accepted approach to fulfill a particular function. In light of the growing importance of technology standards and network externalities, industrial firms may not only adopt emerging standards, but they can actively shape the standardization processes based on their forecasting activities. One important means to influence standard setting towards a firm's own technology is to foster the technology's adoption by actively licensing it to other organizations. Thus, industrial firms may license technology in order to enhance their future new product performance based on a standard related to their technology. To shed light on these dynamics of standardization processes, we draw on contingency theory and conceptually examine the role of licensing in the emergence of technology standards. We further use new data from two surveys of 79 industrial firms with a three-year lag to analyze how environmental contingency factors related to appropriability, i.e., patent protection and technological turbulence, moderate the relationship between licensing to shape technology standards and a firm's subsequent innovation performance. The data provide strong support for the importance of shaping standards by licensing technology, and the findings have important implications for research into standards, licensing, and appropriability.     

Institutional path dependence and international research intensity

Whereas there is informal and formal recognition and understanding of research inertia in driving the intensity of research, there is little formal evidence on the role of historical and political legacy or institutional path dependence in affecting research intensity. This paper uses data on about 100 nations to address this aspect, focusing on the long, medium and short-term research intensity. Across two measures of a nation's institutional history, we find that broader national stability positively affects research intensity both in the long and the medium terms, while the narrower path dependence measure supports these findings, albeit with weak statistical significance. The effects on short-term research intensity lack statistical support across both measures. Comparing institutional path dependence with research inertia, we find that both factors significantly affect research intensity. The main findings are robust to various modifications.     

Technological Expectations And The Diffusion Of ‘Intermediate’ Technologies

The concept of ‘technological expectations’ has established itself as a key one in the smdy of innovation adoption. The article suggests that it may help explaining not just the adopters' timing decisions, but also their decisions regarding the kind of innovation they adopt. Innova tions that set the technological frontier face the competitive diffusion of some ‘intemdiate’ technologies. These may be either old technologies or ‘midrange’ ones. which purposefully lag behind the frontier, in order to impose lower adoption costs to their users.

Taking into account midrange innovations casts new light on the supply side of the diffu sion process. in terms of technological variety and selection effects. Drawing examples from the electronic colour pre-press industry, we highlight the equipment suppliers' anxious quest for the successful midrange innovation, able to hit the right txade-off between proximity to the frontier and adoption costs.     

吸收能力对新技术采纳时机的影响

本文通过引入吸收能力并假设潜在的新技术采纳厂商可以凭借吸收能力实现对购买技术的自我改进,构建了一个两时期的非对称双寡模型,研究了吸收能力对新技术采纳时机的影响。研究结论为:该双寡模型存在两种均衡,即分离均衡和混合均衡。在分离均衡中,吸收能力强的厂商倾向于作为跟随者延迟采纳新技术,而吸收能力弱的厂商作为领先者即时采纳可得的新技术。混合均衡的结果是抢先进入均衡或等待均衡。另外,外部知识的性质对于新技术的采纳也有重要影响。     

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.     

Technical change and wage premiums amongst skilled labour: Evidence from the economic transition

I present reduced-form and structural evidence that the reorganization of the Russian economy in the post-transitional period increased the demand on law and business graduates. This demand shock provides a novel unified explanation of the Russian wage structure for 1985–2015. I then show that this shock is a common feature of all transitional economies, and it contributed to the transformational recession. The demand behaviour is identified with a new skill-biased technical change model of demand for skills with three production inputs (high school graduates and bachelor-level educations with two majors), showing that a technology shift that favours a particular skill might emerge within the skilled group rather than between skilled and unskilled. This is relevant because similar shifts (e.g., data scientists vs. liberal arts) emerge today in the frontier economies that adopt new general-purpose technologies (e.g., machine learning). Thus, this paper informs policymakers today on tools to counteract a potential drop in economic equality and performance that result from this adoption. Lastly, because of similarities between the mechanics of the transition and the 2022 sanctions to discourage Russia's war effort, my results highlight the importance of additional sanctions against the education system to prevent the regime's structural adaptation and preservation.     

Farmers adoption of integrated crop protection and organic farming: Do moral and social concerns matter?

We investigate empirically the role of moral and social concerns in farmers' decision to adopt integrated crop protection (IP) and organic farming (OF). A survey questionnaire has been sent to 1286 fruit-growers and vegetable producers located in the French areas of Alpes de Haute Provence, Hautes-Alpes and Vaucluse. Analysis of individual responses (N = 243) shows that, although economic concerns play a strong role, a significant number of respondents give high importance to moral and social ones. We also examine how these considerations matter according to different crop protection strategies, that is, conventional farming, IP and OF. Using a multinomial logistic regression, we find that (1) social concerns (e.g., showing to others one's environmental commitment) drive both IP and OF adoption, (2) moral concerns (e.g., do not feel guilty about one's choices) increase the probability of organic farming adoption only, and (3) farmers who give high importance to economic concerns (e.g., cutting production costs) are less likely to adopt OF.     

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.     

THE OPTIMAL LISTING STRATEGIES IN ONLINE AUCTIONS

This article proposes a unified framework to completely characterize the seller's optimal listing strategy in the online auction as a function of her rate of time impatience. Specifically, the fixed‐price listing, the regular auction, and the buy‐it‐now (BIN) auction are each a solution of the seller's single optimization problem under different values of the rate of intertemporal discount: The perfectly patient seller adopts the regular auction, the sellers with a medium range of time impatience adopt the BIN auction, and the most impatient of sellers adopt the fixed‐price listing. Moreover, under mild conditions, the reverse price is inversely related to the value of the seller's discount factor, either within or across formats. This in turn implies that the posted price in the fixed‐price sale is greater than the reserve price of the BIN auction, followed by that of the regular auction. These predictions offer clear empirical implications.     

An input-output approach to forecasting gross domestic output and employment intensities by sectors

The purpose of this paper is to integrate two commonly known input-output models of Leontief and Stone for employment analysis. Although assumptions of Leontief model are somewhat different from Stone's model, the empirical analysis can be conducted ignoring the difference between competitive and noncompetitive imports in the initial stage. The Leontief model is used to make predictions of gross domestic output on the basis of predicted imports and final demand by sectors. The predicted output is used to derive employment by sectors for a target year and this in turn is used in Stone's input-output framework for the analysis of total labour intensity by sectors. The approach on the estimates of labour intensity by sectors is illustrated using Japan's input-output data.     

The diffusion of internet-based distance education technology among US associate colleges

This paper analyzes the diffusion of internet-based distance education technology (NETDE) among the US associate colleges. The study finds that an institution with experience in using an earlier generation distance education technology is more likely to adopt NETDE than an institution without such an experience. The finding supports the view of Cohen and Levinthal (1990) that an organization's ‘absorptive capability’ plays a significant role in its innovative activities. Institution size also facilitates the adoption of NETDE. We relate this size effect to market power because the size effect is partly caused by customer switching costs present in the NETDE market. Finally, we find that, among public institutions, the presence of close competitors motivates an institution to adopt NETDE earlier.