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This paper aims to highlight a model of industry drivers (industries’ environmental reputation and competitive intensity) that affect the sustainability marketing strategy segmentation, targeting and positioning based on customers’ environmental concern and explore the circumstances under which such a strategy affects performance.

The authors examined 64 Iranian export companies, which adopted sustainability marketing strategies across seven different industries. Achieved data are analyzed using a structural equation model methodology.

The results indicate that industries’ environmental reputation is positively related to the sustainability marketing strategies based on customers’ environmental concern and leads to superior financial and market performance. They also posit that competitive intensity has no significant effect on sustainability marketing strategies.

This study specifically examines the impact of industry drivers on sustainability marketing strategy and performance. Logically, there might be other factors affecting the sustainability or other value dimensions that are not addressed in this study.

This paper provides some understanding of how organizations strength their sustainability marketing strategy, and they have to consider what factors to adopt such strategy. This paper also facilitates a better understanding of the customers’ needs and concern as a factor influencing sustainability marketing strategy adoption and implementation. Identifying the customer segmentation and market targeting based on the industry’s environmental can lead to the business will normally tailor the marketing mix (4Ps) with the needs and expectations of the target in mind.

This paper strengthens the effect of environmental concern of customer to understand what influences the success of the sustainability marketing adoption and implementation by investigating the most influential factors such as industries’ environmental reputation and competitive intensity.

Este artículo pretende poner de manifiesto un modelo de impulsores de la industria (reputación ambiental e intensidad competitiva de las industrias) que afecta a la segmentación, orientación y posicionamiento de la estrategia de marketing de sostenibilidad basada en la preocupación ambiental de los clientes y explora las circunstancias en las que dicha estrategia afecta al rendimiento.

Se han examinado 64 empresas exportadoras iraníes que adoptaron estrategias de marketing sostenible en siete industrias diferentes. Los datos obtenidos se analizan utilizando SEM.

Los resultados indican que la reputación ambiental de las industrias se relaciona positivamente con las estrategias de marketing sostenibles basadas en la preocupación ambiental de los clientes y conlleva un rendimiento financiero y de mercado superior. También se afirma que la intensidad competitiva no tiene un efecto significativo en las estrategias de marketing sostenible.

Este estudio examina específicamente el impacto de los impulsores de la industria en la estrategia y el rendimiento de marketing sostenible. Lógicamente, podría haber otros factores que afecten a la sostenibilidad u otras dimensiones de valor que no se abordan en este estudio.

Se analiza cómo las organizaciones fortalecen su estrategia de marketing sostenible y tienen que considerar qué factores adoptar en dicha estrategia. Este artículo facilita también una mejor comprensión de las necesidades y preocupaciones de los clientes como un factor que influye en la adopción e implementación de la estrategia de marketing sostenible. La identificación de la segmentación de clientes y el mercado basado en el entorno ambiental de la industria puede llevar a que el negocio adapte su marketing mix (4Ps) teniendo en cuenta las necesidades y expectativas del público objetivo.

Esta investigación refuerza el efecto de la preocupación ambiental del cliente para comprender qué influye en el éxito de la adopción e implementación del marketing sostenible al investigar los factores más influyentes, como la reputación ambiental y la intensidad competitiva de las industrias.

Sostenibilidad, Estrategia de marketing, Industria, Impacto medioambiental, Clientes, Preocupación ambiental, Intensidad de la competencia, Exportación, Rendimiento financiero, Rendimiento de mercado.

Estudio de caso

As a typical nature-based solution to climate change, forestry carbon sinks are vital to achieving carbon neutrality in China. However, regulations in China are insufficient to promote the development of carbon offset projects in forestry. This study aims to identify the regulatory obstacles impeding the development of forestry offsets under China’s certified emission reduction (CCER) and explore ways to improve the regulatory system.

This study conducts a qualitative analysis using a normative legal research method. This study conducted a synthetic review of national and local regulatory documents to gain insights into the regulatory landscape of forestry offsets in China. The main contents and characteristics of these documents are illustrated. Furthermore, related secondary literature was reviewed to gain further insight into forestry offset regulations and to identify significant gaps in China’s CCER regulation.

Forestry offset regulations under the CCER are characterized by fragmentation and a relatively lower legally binding force. There is no systematic institutional arrangement for forestry offset development, impeding market expectations and increasing transaction costs. The main challenges in China’s regulation of forestry carbon sinks include entitlement ambiguity, complicated rules for registration and verification, a lack of mechanisms for incentives, risk prevention and biodiversity protection.

Forestry carbon sinks’ multiple environmental and social values necessitate their effective development and utilization. This study assessed forestry offset regulations in China and proposed corresponding institutional arrangements to improve forestry carbon sink regulations under the CCER.

The purpose of this paper is to debate on how to achieve, in countries that have invested in the North American model of the regulatory state, the greatest efficiency in creating norms for the organization of public and private activities in order to guarantee the autonomy and technical impartiality required for the proper functioning of regulatory agencies.

This paper describes the development of the legal framework regarding regulatory agencies in Brazil. The research was based on bibliographical data, media reports, and the Brazilian Supreme Court decisions.

The regulation dissemination through regulatory agencies in Brazil has given rise to a series of controversies concerning the limits of their performance and the extent of their technical discretion. According to the findings, it is concluded that these independent agencies should be guided by the following four pillars: (1) the legal rule of fixed-term in office; (2) the principle of lesser control intensity (deference) of the agency acts; (3) the prohibition of contingency of agencies’ budgetary resources; and (4) the prohibition of agency powers suppression. Otherwise, the institutional capacity of agencies will be diminished and their neutral action in technical matters will be compromised.

This paper shows how enhanced autonomy and technical impartiality can be useful for better regulatory governance in other countries, preventing them from suffering from the same problems that have occurred in Brazil.

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market characteristics such as domestic demand and general export environment related to tradability across borders affect firms' export intensity.

The authors use a sample of 29,266 firms from nine European countries, for the period of 2010–2016, and test several estimation methods (random effects models, Tobit models, and Heckman's selection models).

Results show that external factors such as domestic demand and ease of trade across borders are important determinants of firms' export intensity. Moreover, results reveal that firm's internal characteristics such as age, size and productivity also play an import role.

Studies about the influence of the firms' external environment on firms' export intensity are scarce because most of them are confined to a single country context. In this way, the present study contributes to the body of knowledge on the influence that external factors can have on firms' export performance by analyzing firms from nine European countries, which has important policy implications.

This paper aims to clarify the relationship between foreign direct investment (FDI) and carbon intensity. This study uses the dynamic panel data model to study and provide fresh evidence for the issue.

This study first uses the dynamic panel data model to consider the endogeneity problem, and applies a system-generalized method of moments estimator to study the effect of FDI on carbon intensity using the panel data of 188 countries during 1990-2013.

The result shows that FDI has a significant negative impact on carbon intensity of the host country. After considering the other factors, including share of fossil fuels, industrial intensity, urbanization level and trade openness, the impact of FDI on carbon intensity is still significantly positive. In addition, FDI also has a significant negative impact on carbon intensity of high-income countries and middle- and low-income countries.

This paper offers two contributions to the literature on the effect of FDI on carbon intensity. From a methodological perspective, this paper is the first to apply a dynamic panel data model to study the effect of FDI on carbon intensity using worldwide panel data. Second, this paper is the first to analyze the effect of FDI on carbon intensity in different countries with different income levels separately.

Trade and environment are essential issues closely related to the development of the national economy and the improvement of people’s livelihood in the new era. The Report to the 19th National Congress of the Communist Party of China (CPC) listed the construction of a strong trading power as an important part of building a modern economic system and pollution prevention and treatment as one of the three key battles to win the decisive victory of building a moderately prosperous society in all respects. However, the relationship between trade and environmental pollution is still very controversial in the existing literature, and there is a paucity of literature on the relationship between trade and environmental pollution based on micro data.

This paper merged China’s Firm-Level Pollution Database with China’s Industrial Enterprise Database and China’s industry tariff rates. Additionally, by virtue of the quasi-natural experiment of China’s accession to the World Trade Organization (WTO), a difference in difference (DID) model was constructed to alleviate the endogeneity issue.

According to the results, the trade barrier decrease (trade liberalization) significantly reduces the intensity of SO₂ emissions, a major pollutant of enterprises, as the intensity of SO₂ emissions decreased 2.16% for each unit decrease of the trade barrier. The analysis of the mechanisms shows that the SO₂ emission intensity of enterprises is mainly due to the decrease of enterprises’ pollution emission rather than the decrease of output, and the decrease of enterprises’ pollution emission is mainly caused by the enterprises’ cleaner production process rather than the end treatment of pollution emission. The decrease of coal use intensity is an important mechanism of the decrease of SO₂ emission intensity caused by the decrease of trade barriers. Among the technical effects of the change of the trade barrier affecting enterprises’ pollution emission, biased technical change rather than neutral technical change dominates.

The findings of this paper imply that expanding openness can enhance China’s social welfare not only through the economic growth mechanisms identified in the classical literature, but also through environmental improvements. This provides useful policy insights for promoting the construction of a strong trading power and winning the battle against pollution in the new era.

This article addresses the relationship of universities to their changing regulatory environments internationally.

This article updates analysis published in 2004 exploring the contrasting modes of, and key trends in, regulation of higher education across eight OECD (Organisation for Economic Co-operation and Development) states. The article offers a wider analysis of the changing patterns of regulation rooted in mutuality, oversight, competition and design, and the implications for the management of higher education institutions.

Since 2004, higher education has seen more growth in oversight-based and competition-based regulation, but also some decentralization of regulation as an increasing cast of actors, many international and transnational in character, have asserted themselves in key aspects of the regulatory environment. This article explores the implications of these changes in the regulatory mix over higher education for the ways that universities manage their regulatory environment, arguing first, that there is significant evidence of meta-regulatory approaches to regulating universities, and second, that such a meta-regulatory approach is consistent with an emphasis on university autonomy, raising a challenge for universities in how to use the autonomy (variable by country) they do have to manage their environment.

This article offers an original analysis of how universities might most appropriately respond, deploying their autonomy, however variable, to address their external regulatory environment. The author suggests we might increasingly see the external regulatory environment as meta-regulatory in character and universities making more use of reflexive governance processes.

The purpose of this study is to assess the interaction effect of government non-financial support and firms' regulatory compliance on firms' innovativeness. Firms' regulatory compliance with environmental and safety issues has been suggested as one of the reasons why firms innovate. Such compliance provides legitimacy, improves reputation and corporate image, and enhances customer loyalty and competitive advantages, which influence firm innovativeness. However, regulatory compliance is costly and with limited resources, the role of government support is crucial as a moderator, to help firms become more compliant and influence their innovativeness.

The study uses data from the World Bank Enterprise Innovation Survey for seven countries in Sub-Saharan Africa.

Regulatory compliance has a positive and significant effect on firm innovativeness. Increased use of government non-financial support enhances the level of firm regulatory compliance and the effect of regulatory compliance on firm innovativeness.

The study contributes to the literature on compliance and firm innovativeness in Africa by showing how the positive effect of regulatory compliance on firm innovativeness is stronger when firms benefit from government non-financial support.

The purpose of this paper is to investigate the functionality and effectiveness of the Carbon Risk Real Estate Monitor (CRREM tool). The aim of the project, supported by the European Union’s Horizon 2020 research and innovation program, was to develop a broadly accepted tool that provides investors and other stakeholders with a sound basis for the assessment of stranding risks.

The tool calculates the annual carbon emissions (baseline emissions) of a given asset or portfolio and assesses the stranding risks, by making use of science-based decarbonisation pathways. To account for ongoing climate change, the tool considers the effects of grid decarbonisation, as well as the development of heating and cooling-degree days.

The paper provides property-specific carbon emission pathways, as well as valuable insight into state-of-the-art carbon risk assessment and management measures and thereby paves the way towards a low-carbon building stock. Further selected risk indicators at the asset (e.g. costs of greenhouse gas emissions) and aggregated levels (e.g. Carbon Value at Risk) are considered.

The approach described in this paper can serve as a model for the realisation of an enhanced tool with respect to other countries, leading to a globally applicable instrument for assessing stranding risks in the commercial real estate sector.

The real estate industry is endangered by the downside risks of climate change, leading to potential monetary losses and write-downs. Accordingly, this approach enables stakeholders to assess the exposure of their assets to stranding risks, based on energy and emission data.

The CRREM tool reduces investor uncertainty and offers a viable basis for investment decision-making with regard to stranding risks and retrofit planning.

The approach pioneers a way to provide investors with a profound stranding risk assessment based on science-based decarbonisation pathways.

This paper aims to estimate the determinants of the intensity of use of financial inclusion by households in Ghana.

Due to the reality of a household using one or more financial products or services, this study uses the generalised Poisson model applied to GLSS6 and GLSS7 data collected in 2012/2013 and 2016/2017 respectively, to estimate the determinants of the intensity of use of financial inclusion. To deepen the analysis, a multinomial probit model is also applied.

Results show that infrastructural variables such as roads, public transport and banks stimulate the intensity of financial inclusion. In addition, agricultural development characteristics such as markets and cooperatives are essential for the intensity of inclusion.

There is a need to incorporate how many services or depth of services that people use as part of the conceptualisation of financial inclusion, as this can provide more policy-relevant evidence to enhance priority setting in financial inclusion policies. Also, micro-level financial inclusion studies in agrarian economies should consider exploring agricultural development and infrastructure variables in the modelling framework. As lead to further studies, count models of financial inclusion should consider exploring cross-country analysis, the use of panel data, or other methodological approaches to provide more robust evidence.

Previous studies have not modelled financial inclusion based on a count model as a means of measuring intensity though conceptualisations highlight the fact that people use varied financial products or services. Following from this angle, to the best of the authors’ knowledge, this study provides the first attempt at analysing the underlying determinants of the number of financial products or services used by households.