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This paper aims to decompose the value effects of green retrofits on commercial real estate. The paper disentangles various sources of value capture mechanisms that can be attained through green retrofit actions and profiles the extent to which green retrofit solutions can be effectively capitalised using transaction evidence from the Munich housing market. The insights offered can help real estate owners and investors during their ex ante analysis of future energetic retrofit investments.

The authors offer their reader both a conceptual framework and the results from an empirical analysis to identify the value effects of retrofits and the associating gains in energy efficiency. The conceptual framework theorises the different value components that a deep retrofit has to offer. The regression analysis includes a multivariate analysis of 8,928 dwellings in the Munich residential real estate market.

This study’s framework disentangles the total retrofit value effect into three components: the capitalisation of energy savings, the exposure to the value discount because of stricter standards and the value uplift because of indirect benefits (health, employee satisfaction, marketing etc.). The regression results indicate that the value gains because of energy efficiency improvements are in the range of 2.4–7.4%, while the indirect benefits and reduced exposure to stricter standards amount to another 3%.

While numerous studies have investigated the upside value effects of energy efficiency in the real estate sector, there is scant academic research which has sought to evidence the value of green retrofit solutions and the extent to which this can be capitalised. Instrumentalising the various value effects of energetic retrofit that have been identified is not straightforward. At the same time, inadequate value capture of energetic retrofit effects could delay intervention timelines or aborting of proposed retrofit actions which should be of primary concern to policymakers and stakeholders tasked with the decarbonisation of real estate assets.

This study examines short‐term stock price reactions to announcements of equity rights offerings in Singapore between 1983 and 2003 and investigates whether economic factors lead to different price reactions. The results show that the cumulative abnormal returns (CARs) associated with rights issues differ significantly across economic conditions at the time of issuance. Rights issues typically result in significantly large positive CARs during periods of economic growth but small positive but insignificant CARs during economic downturns. The CARs vary positively with Tobin’s q‐ratios, which indicate the availability of positive net present value investment opportunities of the firms issuing the rights. Our major finding is that the price reaction of Singapore firms to equity rights offerings is sensitive to economic conditions at the time of the rights issues.

Russia is one of the fastest growing emerging economies and large Russian companies, mainly resource exporters, have entered the global markets in recent years. The internationalization process of Russian enterprises and its implications on foreign direct investment paradigms have attracted global interest. This paper studies the effect of internationalization on the performance of large Russian companies (state‐owned, privatized and de‐novo). The results show that international operations have a significant effect on company performance indicators. Companies with international operations have significantly higher profitability and labor productivity. However, profitability or labor productivity is not significantly higher in the early years of trade liberalization. The positive effects grow gradually with the integration of Russian companies to world markets. Specifically, the expansion of the de‐novo private sector has been strong.

Using state-level data, the purpose of this paper is to examine state banking-industry specific as well as region economic determinants of real estate lending of commercial banks across all 51 states spanning the period 1966-2014.

Using both fixed-effects and dynamic-generalized method of moments (GMM) estimation techniques the study compares the sensitivity of different categories of real estate loans to regional banking and economic conditions. Finally, it provides a comparative perspective by comparing the results for real estate loans with other categories of loans given out by banks.

Greater capitalization, liquidity and overhead costs reduce real estate lending, while banks diversification and the size of the banking industry in each state increase such lending. Moreover, real estate loans are found to be procyclical to state economic cycles with a rise in state real gross domestic product (GDP) growth, increase in state housing price index (HPI) and decline in both inflation and unemployment rates, increasing real estate loans. Within disaggregated loan types, construction and land development and single-family residential loans are most responsive to state banking and economic conditions.

The recent financial turmoil is to a large extent attributable to excessive risk-taking by banks, particularly in terms of real estate lending. Hence, it is of paramount importance to empirically address the various determinants of real estate lending. With most banks restricting their operations in either one or a few states only, real estate lending in any given state may be more sensitive to regional banking and economic conditions than national aggregates. The present study is the first of its type to perform such an analysis.

This paper studies one of the most paradoxical facts of the Spanish economic growth during the period 1982–2007: high growth of investment and aggregate demand accompanied by the stagnation of labor productivity, especially from 1994.

The authors propose two hypotheses: first, that the productive structure neutralized the mechanisms that link investment with productivity, essentially due to the low capital efficiency of the job-creating sectors (JCs); and consequently, investment drove production almost exclusively through employment, generating a trade-off between employment and productivity.

The econometric results find evidence in favor of both hypotheses applying a time-series methodology (ARIMA) to EU KLEMS data for a period of 25 years and 25 industries of the Spanish economy.

The first contribution of this paper is to offer an interpretation of the phenomenon from a perspective that combines elements of productive supply and aggregate demand, representing a novel contribution to the specialized literature. In addition, the authors show how the Kaldor-Verdoorn law could be neutralized due to employment creation (Okun's law) and the presence of a productivity-employment trade-off.

Research and development (R&D) is increasingly considered to be a key driver of economic growth. The relationship between these variables is commonly examined using linear models and thus relies only on single-point estimates. Against this background, this paper provides new evidence on the impact of R&D on economic growth using a machine learning approach that makes it possible to go beyond single-point estimation.

The authors use the kernel regularized least squares (KRLS) approach, a machine learning method designed for tackling econometric models without imposing arbitrary functional forms on the relationship between the outcome variable and the covariates. The KRLS approach learns the functional form from the data and thus yields consistent estimates that are robust to functional form misspecification. It also provides pointwise marginal effects and captures non-linear relationships. The empirical analyses are conducted using a sample of 101 countries over the period 2000–2020.

The estimates indicate that R&D expenditure and high-tech exports positively and significantly influence economic growth in a non-linear manner. The authors also find a positive and statistically significant relationship between economic growth and greenhouse gas emissions. In both cases, the effects are higher for upper-middle-income and high-income countries. These results suggest that a substantial effort is needed to green economic growth. Internet access is found to be an important factor in supporting economic growth, especially in high-income and middle-income countries.

This paper contributes to underlining the importance of investing in R&D to support growth and shows that the disparity between countries is driven by the determinants of economic growth (human capital in R&D, high-tech exports, Internet access, economic freedom, unemployment rate and greenhouse gas emissions). Moreover, since the authors find that R&D expenditure and greenhouse gas emissions are positively associated with economic growth, technological progress with green characteristics may be an important pathway for green economic growth.

This paper uses an innovative machine learning method to provide new evidence that innovation supports economic growth.

The paper investigates the relationship between China’s net direct foreign investment position and economic development and the investment development path (IDP) theory introduced by Dunning (1981). Using annual data for the period 1979 to 2005 and a fourth order single variable polynomial function we demonstrate that form of the IDP for China and conclude that China entered stage 3 of the path postulated by the IDP theory. By analyzing key factors which have impacted FDI inflows and outflows we find that certain idiosyncratic characteristics of Chinese companies and institutional factors may limit the significant increase in the multinationalization of Chinese firms which would be required for the country to move along the IDP.

The purpose of this paper is to examine the introduction of three specific fiscal flexible mechanisms such as VAT surcharges/discounts, surcharges on import/manufacture of risk substances and maturity land tax to implement a new environmental fiscal reform that aims to reduce pollutions and emissions and avoid a regressive impact on low-income households using a feedback system.

The idea behind this article is to explore alternative environmental taxation system that aims to foster the transition to social-ecological sustainability without affect negatively poor and low-income households. It looks at the potential of environmental fiscal reform in terms of environmental benefits and present in the first section, evidence of some economic regressive impact caused by environmental fiscal reform in European Union from previous empirical studies. The article then introduces of a feedback mechanism to create a repayment system, such as rebate or cash transfer to compensate the regressive effect of the levy being added to the consumer price affecting low-income households in a very short period and push consumers to buy alternative eco-friendly products and services and to stimulate the market to offer them.

Lowering VAT rate for green products and services has the potential to increase demand for sustainable products and services and stimulate green jobs. Surcharges on import and manufacture of risk substances play a significant role to discourage the import of hazardous and pollutant substances by putting price on them and push the industrial sector towards a medium and long-term transition. Lowering taxes rates for buildings in inner cities encourage improvements and renovations, while raising tax on peri-urban areas discourage land speculation in areas with higher grade of biodiversity. This fiscal mechanism indirectly will reduce private and public transport emissions caused by urban sprawling and travel costs, reduce public infrastructure costs for connecting suburban area to the inner city and reduce the loss of urban-edge farmland area that are vital for smart urban growth.

The previous studies on the economic impact of the on environmental fiscal reform analysis, have focused on environmental aspects, economic growth and employment, but little on the regressive impact in short and medium terms on least wealthy sections of society. The proposed feedback mechanism aims to reduce distortion and inequalities caused by surcharges on existing taxation to low-income using monetary repayment measures, especially for products and services with elastic demand and no substitutes.

In addressing policy problems, it is difficult to disentangle public policies from private efforts, business institutions and civic activities. Societies may acknowledge that all these domains have a role in accomplishing social aims, but there are fundamental problems in understanding why, how and with what implications this occurs. Drawing upon the insights from the papers of this special issue, the authors aim to advance the understanding of governance and accountability in different contexts of hybridity, hybrid governance and organizations.

The authors conceptualize common theoretical origins of hybrid organizations and the ways in which they create and enact value by reflecting on the articles of the special issue. Furthermore, the authors propose agendas for future research into hybrid organizations.

Hybrid organizations can be conceptualized through two types of lenses: (1) the dimensions of hybridity (ownership, institutional logics, funding and control) and (2) their approaches to value creation (mixing, compromising and legitimizing).

This article provides more detailed and comprehensive understanding of hybridity. This contribution has also important practical implications for actors, such as politicians, managers, street-level bureaucrats, professionals, auditors and accountants who may be enveloped in various hybrid settings, policy contexts and multi-faceted interfaces between public, private and the civil society sector.

Hybridity lenses reveal novel connections between four types of hybrid institutional contexts: state-owned enterprises (SOEs), non-profit organizations (NPOs), social enterprises (SEs) and municipally owned corporations (MOCs). This paper provides theoretical instruments for doing so.

The purpose of this paper is to investigate whether there are any differences in the capitalization speed‐of‐adjustment across regulatory capitalization buckets of commercial banks in the USA, for the period 2002‐2009.

The Federal Deposit Insurance Corporation (FDIC) monitors banks' capital ratio using the bucketing approach. Thus, this discrete and ordered variable is modeled in the context of a partial adjustment specification, controlling for initial conditions and cross‐sectional heterogeneity. Parameters are estimated with the generalized dynamic random effects ordered probit technique that is flexible enough to allow for differential effects of covariates across capitalization categories.

The main result is that the speed of adjustment is monotonically increasing for banks belonging in lower capitalization buckets, after controlling for bank‐specific capitalization determinants. In addition, substantial differential impacts of capitalization drivers across regulatory buckets are uncovered.

This an important finding both for regulators and market participants since it sheds light on a very crucial aspect of banks' behaviour.

This is the first paper that adopts the FDIC bucketing in the actual modelling. In addition, it uses the generalized dynamic random effects ordered probit technique in order to explore potential differential impact of capital ratio determinants across buckets.