Cleaner firms or cleaner products? How product mix shapes emission intensity from manufacturing

Barrows, Geoffrey; Ollivier, Hélène

doi:10.1016/j.jeem.2017.10.008

Cited by 80 publications

(56 citation statements)

References 18 publications

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“…This helps to better understand the underlying mechanisms behind the net effect. Recent decomposition approaches focus on the micro level using firm-and product-level data (Shapiro and Walker, 2018;Barrows and Ollivier, 2018;Cherniwchan et al, 2017).…”

Section: Decomposing Aggregate Emissionsmentioning

confidence: 99%

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Environmental Policy and Firm Selection in the Open Economy

Kreickemeier

Richter

2019

SSRN Journal

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In this paper, we analyse the effects of a unilateral change in an emissions tax in a model of international trade with heterogeneous firms. We find a positive effect of tighter environmental policy on average productivity in the reforming country through reallocation of labour towards exporting firms. Domestic aggregate emissions fall, due to both a scale and a technique effect, but we show that the reduction in emissions following the tax increase is smaller than in autarky. Moreover, general equilibrium effects through changes in the foreign wage rate lead to a reduction in foreign emissions and, hence, to negative emissions leakage in case of transboundary pollution.

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Section: Decomposing Aggregate Emissionsmentioning

confidence: 99%

“…For a recent survey seeCherniwchan et al (2017).5 Barrows and Ollivier (2018) develop a model with multi-product firms, where emissions-intensities differ across products within each firm. Changes in (trade) policy affect aggregate emissions through the heterogeneous reaction of firms in altering their product mix'.…”

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confidence: 99%

Environmental Policy and Firm Selection in the Open Economy

Kreickemeier

Richter

2019

SSRN Journal

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“…The trendiest productsAkhter et al (2005);Ashman et al (2015); Khare(2 2. Varieties of productsAshman et al (2015);Barrows and Ollivier (2018 Kumar andDash (2015); Mittelman et al (2017) 3. Standard and expectations for a product Kim et al (2010); Pappas (2016); Rezaei et al (201 4.…”

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confidence: 99%

Predicting changing pattern: building model for consumer decision making in digital market

Mangla

Luthra²,

Rana

et al. 2018

JEIM

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Purpose Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context. Design/methodology/approach To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data. Findings The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal. Practical implications The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk. Originality/value This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.

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“…Our model is different from that of other papers addressing firm-level energy efficiency such as Copeland and Taylor (2013) or Barrows and Ollivier (2018), since it introduces firm-specific wedges that affect the marginal cost of electricity and, consequently, firms' optimal input choices. The inclusion of wedges is essential in our context, resulting in output losses from inefficient resource allocation.…”

Section: Introductionmentioning

confidence: 90%

“…It is widely adopted in works such as Allcott and Greenstone (2012); Fisher-Vanden et al (2004) and by the International Energy Agency. A similar definition considering emissions is common as well, as in Andersen (2017); Barrows and Ollivier (2018). One disadvantage from using this energy efficiency measure is that it relies on electricity costs, and so it does not capture auto-production of electricity by firms.…”

Section: Datamentioning

confidence: 99%

Firm Dynamics in Brazil: Trade Shocks, Resource Misallocation and Life Cycle Growth

OLIVEIRA¹

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I am grateful for my family, for their unconditional love and support. I am also grateful for Guilherme, for always being by my side. This work would also not have been possible without the support and inspiration from my friends and colleagues from PUC-Rio and the Sala de Sigilo at IBGE. Finally, I thank the professors and administrative staff at PUC-Rio. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Finance Code 001. Financial support from CNPq and FAPERJ is also gratefully acknowledged.

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Cleaner firms or cleaner products? How product mix shapes emission intensity from manufacturing

Cited by 80 publications

References 18 publications

Environmental Policy and Firm Selection in the Open Economy

Environmental Policy and Firm Selection in the Open Economy

Predicting changing pattern: building model for consumer decision making in digital market

Firm Dynamics in Brazil: Trade Shocks, Resource Misallocation and Life Cycle Growth

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