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This paper develops the concept of positive sustainability or positainability to go beyond many leaders’ traditional understanding of sustainability as primarily avoiding harm. Rather, executives need to embrace a positive perspective in terms of doing good and creating value in a firm’s core business as the next level of sustainability management. Positive sustainability is defined as the combination of doing good and avoiding bad to arrive at innovative solutions for achieving a “net positive impact” in the core business rather than merely targeting “no net loss” by reducing harm for the environment and society.

This is a conceptual paper with an example, and it relies on prior insights from related research fields, including the sustainable development goals, corporate social responsibility, creating shared value, positive psychology, social entrepreneurship and social innovation.

Many organizations have recently launched sustainability initiatives, which often focus on achieving efficiency gains, for example, by reducing power consumption to lower carbon emissions in the face of climate change and to simultaneously save costs. In future competition, however, avoiding unsustainability in the core business and potentially doing good in separate social responsibility programs will not be enough. Furthermore, a focus on “quick win” efficiency gains may limit a more fundamental transformation, which is needed in many firms. There is a massive shift in consumer expectations, especially among younger generations, concerning firms’ active contribution to solving environmental and social challenges. Consistent with positive psychology, these market shifts require a positive perspective in terms of doing good in the core business.

The concept of positive sustainability has major implications for innovation, transformation and communications management. Even those firms that view themselves as leaders hardly realize the opportunities from positive sustainability. By developing innovative solutions, products and services, companies may positively contribute to the environment and society. In the medium to long term, this positive impact will often exceed the short-term benefits of efficiency-centered programs. Most firms and leaders will simply have no choice but to embrace a “net positive impact” because customers strongly expect companies to take action in terms of positive sustainability.

There has been a tendency in sustainability science to be passive. The purpose of this paper is to introduce an alternative positive framework for a more active and direct approach to sustainable design and assessment that de-couples environmental impacts and economic growth.

This paper deconstructs some systemic gaps that are critical to sustainability in built environment management processes and tools, and reframes negative “sustainable” decision making and assessment frameworks into their positive counterparts. In particular, it addresses the omission of ecology, design and ethics in development assessment.

Development can be designed to provide ecological gains and surplus “eco-services,” but assessment tools and processes favor business-as-usual. Despite the tenacity of the dominant paradigm (DP) in sustainable development institutionalized by the Brundtland Report over 25 years ago, these omissions are easily corrected.

The limitation is that the author was unable to find exceptions to the omissions cited here in the extensive literature on urban planning and building assessment tools. However, exceptions prove the rule. The implication is that it is not too late for eco-positive retrofitting of cities to increase natural and social capital. The solutions are just as applicable in places like China and India as the USA, as they pay for themselves.

Positive development (PD) is a fundamental paradigm shift that reverses the negative models, methods and metrics of the DP of sustainable development. This paper provides an example of how existing “negative” concepts and practices can be converted into positive ones through a PD prism. Through a new form of bio-physical design, development can be a sustainability solution.

The cyber security industry emerged rapidly in recent years due to mounting cyber threats and increasing cyber hacking activities. Research on emerging technologies emphasizes the risks and sometimes neglects to address the potential positive contribution to cyber security. The purpose of this study is to conduct a relatively balanced long-term foresight study to elicit major significant threat drivers and to identify emerging technologies that are likely to have a significant impact on defense and attack capabilities in cyber security.

The main instruments used in this study were horizon scanning and an online survey among subject-matter experts that assessed emerging threats and the potential impact of several emerging technologies on cyber defense capabilities and cyber attack capabilities.

An expert survey shows that cyber resilience, homomorphic encryption and blockchain may be considered as technologies contributing mainly to defense capabilities. On the other hand, Internet of Things, biohacking and human machine interface (HMI) and autonomous technologies add mainly to attack capabilities. In the middle, we find autonomous technologies, quantum computing and artificial intelligence that contribute to defense, as well as to attack capabilities, with roughly similar impact on both.

This study adds to the current research a balanced long-term view and experts’ assessment of negative and positive impacts of emerging technologies, including their time to maturity and consensus levels. Two new Likert scale measures were applied to measure the potential impact of emerging technologies on cyber security, thus enabling the classification of the results into four groups (net positive, net negative, positive-positive and negative-negative).

Changes in climate may have both beneficial and harmful effects on crop yields. However, the effects will be more in countries whose economy depends on agriculture. This study aims to measure the economic impacts of climate change on crop farming in Bangladesh.

A Ricardian model was used to estimate the relationship between net crop income and climate variables. Historical climate data and farm household level data from all climatic zones of Bangladesh were collected for this purpose. A regression model was then developed of net crop income per hectare against long-term climate, household and farm variables. Marginal impacts of climate change and potential future impacts of projected climate scenarios on net crop incomes were also estimated.

The results revealed that net crop income in Bangladesh is sensitive to climate, particularly to seasonal temperature. A positive effect of temperature rise on net crop income was observed for the farms located in the areas having sufficient irrigation facilities. Estimated marginal impact suggests that 1 mm/month increase in rainfall and 10°C increase in temperature will lead to about US$4-15 increase in net crop income per hectare in Bangladesh. However, there will be significant seasonal and spatial variations in the impacts. The assessment of future impacts under climate change scenarios projected by Global Circulation Models indicated an increase in net crop income from US$25-84 per hectare in the country.

The findings of this study indicate the need for development practitioners and policy planners to consider both the beneficial and harmful effects of climate change across different climatic zones while designing and implementing the adaptation policies in the country.

Literature survey of the Web of Science, Science Direct and Google Scholar indicates that this study is the first attempt to measure the economic impacts of climate change on overall crop farming sector in Bangladesh using an econometric model.

This study aims to investigate the relationships between loan growth, loan losses and net income after the 2008 global financial crisis. This study further conducts a comparative analysis by considering the period of COVID-19.

This study uses panel data models such as one-step system GMM, random effects, fixed effects and OLS, with a data set of 131 Chinese commercial banks from 2009 to 2020.

The study finds no significant relationship between loan growth and future loan losses. However, after adjusting loan loss by net interest income (NII-adjusted loan loss), the study reveals that loan growth in the subsequent year decreases if NII-adjusted loan loss increases. The study also demonstrates the positive effect of loan growth on net income as newly expanded loans are funded at similar costs but offered at a lower rate compared with existing loans. During COVID-19, loan growth and net income were higher than in previous years.

The findings suggest that Chinese banks can increase lending to support the economy without sacrificing loan quality, emphasizing the importance of maintaining and enhancing credit policies and practices. Chinese banks should also continue to refine their pricing strategies for loans and deposits. The findings also imply that China's policy responses to the impact of COVID-19 could serve as lessons for future policy decisions.

This study investigates the effect of global and domestic uncertainty on the dynamics of portfolio investment in 21 economies (mostly advanced and larger emerging economies) from 2001–2016.

Specifically, the evolution of the net portfolio equity investment inflows (FPI net inflows) and the evolution of net portfolio investment (FPI net) are investigated in a context in which the degree and the volatility of domestic economic policy uncertainty (EPU) and world uncertainty index (WUI) varied. The authors provide an empirical analysis through the sequential (two-stage) estimation of linear panel data models for unbalanced panel data.

An increase in the degree and volatility of domestic EPU has a significant negative influence on FPI net inflows, while an increase in WUI has a significant positive one. Notably, a simultaneous increase in the domestic EPU and WUI enhances the net inflows of FPI, whereas a simultaneous increase in the volatility of these indicators reduces the net inflows of FPI. An increase in the degree and volatility of both domestic EPU and WUI have a significant positive effect on the net portfolio investment, implying that a significant net portfolio investment is going out of the country.

The results of this study encourage international investors to consider uncertainty indicators (and, more specifically, their variations) in their portfolio strategy to optimize their position on the international markets. The findings of this study invite policy-makers from large countries to reduce the perceived domestic uncertainty since this parameter can influence international investors' sensitivity and willingness to diversify their position out of the country.

The authors' approach focuses on the variations of uncertainty (existing literature mainly works with the indicators). While the results confirm the role played by large markets in international portfolio investment management, it nuances the changes in the portfolio management behaviors toward other markets when facing a changing uncertainty.

Average bank net interest margins vary widely across Gulf Cooperation Council (GCC) countries, net interest margins of Omani banks are significantly higher. The resultant low level of financial intermediation implies reduced investment and economic growth. Understanding the reason for these high and persistent spreads is important to develop a policy for improving effectiveness of the banking system. The paper aims to discuss these issues.

Net interest margins of Arab GCC banks during the period 1999-2012 are examined using the balanced panel regression model with bank specific, financial/market structure specific and macroeconomic factors as determinants. The method used for estimation used is the estimated generalized least squares (EGLS) method with both fixed effects and random effects.

Bank-specific variables, which explain net interest margins in GCC, are bank capitalization ratios, loan ratios and overhead expenses. Spread of banking sector (as measured by ratio of total bank credit to GDP) is positive and highly significant, implying that along with the expansion of the banking sector in GCC economies, interest margins of banks also improved. Omani banks were able to increase interest margins by aggressively marketing high yield personal and credit card loans, and, zero interest paying deposit products. The study also finds a negative relationship between concentration and net interest margin, and attempts to explain this finding which is at variance with other country studies using the price leadership model of oligopoly.

The standard, accepted econometric model of net interest margins which has been used in earlier studies is unable to explain the high net interest margins of banks in Oman although it is able to explain interest margins in other GCC countries. There is a need to develop non econometric models. More work is needed on the implications of NIM spreads for how they affect an economy.

The study shows that as the banking sector spreads in the economy, individual banks have more opportunities to market their products while at the same time maintaining interest margins. Bank managements should note this point and look for opportunities to expand.

There is no evidence of any empirical studies which focused on net interest margins in the GCC countries. This study attempts to fill in this gap with a view to nudge policy makers to look at the issue of high interest margins and its detrimental impact on economic growth and development in the Gulf region. The paper is useful for policy makers to understand and rectify the problem of excessive interest spreads which is hurting the financial intermediation process.

The purpose of this paper is to examine the impacts of rural–urban migration on agricultural (labor) productivity in China.

This paper closely follows the framework of Rozelle et al. (1999), Taylor et al. (2003) and Atamanov and Van den Berg (2012)—new economics of labor migration—to demonstrate the heterogeneous effects of migration on agricultural productivity, using simultaneous equations extended by an interaction term of off-farm income and household wealth.

The results empirically verify two key theoretical predictions: the loss of labor available for agricultural activities decreases rice yield per worker per day, and the off-farm income that may relax liquidity constraints has a positive offsetting effect, which becomes weaker with increasing household wealth. The final calculation based on these two contradictory influences indicates that the lost-labor effect dominates across all levels of household wealth, resulting in a negative net impact of rural–urban migration on agricultural productivity. The key results are shown to hold for land productivity as well.

To the best of the author’s knowledge, it is the first paper to examine the impacts of rural–urban migration on labor productivity and the heterogeneity across households with different levels of wealth. A major policy issue facing national leaders is whether the massive and ongoing outflow of labor will be a threat to China’s rural development and its food security in the future. This paper provides insightful ideas in a different way.

The purpose of this paper is to understand why some sports show a positive economic impact and other sports do not, and to identify a common set of explanatory factors explaining the differences.

This explanatory research reviews the economic impact literature to identify the underlying conditions that would theoretically allow any sport, large or small, to generate positive economic effects.

Nine conditions are identified that, when present, could allow a community to experience a positive economic impact from a team or stadium. These are then used to explain the discrepancy in known empirical outcomes in major and minor league baseball (MiLB). It appears as if major league teams are more likely to violate the conditions than minor league teams. This research finds theoretical support for previous suggestions that smaller teams and events may be beneficial to local economies. In doing so, it also explains previous empirical results that found some MiLB classifications are associated with positive gains in per capita income.

Stakeholders can use the nine conditions to understand expected economic impact of their relevant sports. This research provides a comprehensive guide to understanding when economic impact can be positive.

This research helps explain some of the existing controversy regarding economic impact analysis.

It is the first research to help provide a pre-set of conditions that can help predict whether positive economic impact will occur for specific sports teams or stadium projects.

Focusing on the externality effects of historic districts, this paper aims to assess and compare the impact of historic district designation on the value of residential vacant land property.

Hedonic regression is used to analyze data from 4,233 residential vacant site transactions to measure the influence of historic district designation on the price of residential vacant site properties.

Results support established theory and research on other residential property types, showing a significant and positive relationship between designation in a historic district and property prices. Residential vacant sites located in a designated historic district sold at a 10-11 per cent premium compared to similar vacant sites not located in a historic district.

This is the first empirical study of the influence of historic districts on residential vacant land property. The paper extends limited previous literature on the externality effects of historic districts through detailed analysis of a large Australian housing market (Brisbane).