Global assessment of technological innovation for climate change adaptation and mitigation in developing world

The Role of Climate Change Adaptation in Enhancing Household Food Security: A Case Study of the Hamassa Watershed Agroecologies, Southern Ethiopia

Background

Climate change adaptation is an incomparable prior measure to tackle unpreventable climate calamities to enhance smallholder farming and food security. This empirical study assesses smallholder farmers' adaptation options to climate change or variability for achieving food security.

Methods

Data were gathered from a survey of 328 respondents, selected randomly and proportionally from three different agro-ecological zones. Additional qualitative insights were collected through focus group discussions and interviews with key informants to reinforce the findings. The multinomial endogenous switching regression, independent t-test and the instrumental variable (2sls) regression were used as method of analysis.

Results

The result indicated that ACAC impacted food security positively and significantly in the study area at a percent rate of 12.4, 16.3,18 and 27.7 when households adopting one, two, three, and four ACAC, respectively, in the HFBM case, and the same meaning was obtained from other food security measuring tools. However, the rate and manner of change differ at different agroecologies, signifying careful discernment when applying ACAC at different spacial areas, especially in agroecology. The change in agroecology declares that midlands have a negative likelihood propensity for climate adaptation compared to highlands, while lowlands have positive and insignificant implications. The mean comparison from the independent t-test showed statistically significant adopters and non-adopters food security measures, which also informed the positive contribution of CACA on households' food security. Interestingly, factors such as distance to water sources, land size, ox ownership, crop income, and access to credit influenced food security in diverse ways depending on regional and contextual specifics.

Conclusions

Thus, ACAC impacts food security differently at different rates in different agroecologies in the area. Integrated and tailored technical, institutional, and policy interventions are needed to tackle the calamities of climate change leap to smallholder farming and food security.

Spatio-temporal investigation of economic growth and environmental quality nexus in EU countries: New guidelines regarding green goods and eco-tax

The issue of environmental degradation has become pertinent and the call for carbon neutrality has intensified in recent years. Achieving this target will require countries to meet the conditions of the sustainable development goals. To do this, the study applied spatiotemporal modelling and the generalized method of moments (GMM) to examine the nexus between economic growth (EG) and the load capacity factor (LCF) through environmental goods (ENG) and environmental tax (ENT) among European Union (EU) nations from 1995 to 2018. The findings demonstrate that spatial dependence leads to a change in EG and LCF that impacts the EG and LCF of the neighbouring countries. The study also found that there is a significant positive and bidirectional relationship between economic growth and load capacity factor. Moreover, the study revealed that a positive effect of ENG, ENT, REN and Human Capital Index (HCI) on EG, with a reducing effect from natural resource rents (NRR). Finally, HCI improves environmental quality, while ENG, ENT, REN and NRR degrade the environment. Our findings justify the need for EU countries and other developed nations to implement policies that will help achieve a green economic transformation.

Motivating factors of farmers' adaptation behaviors to climate change in China: A meta-analysis

Adapting to climate change is critical to building sustainable and resilient agricultural systems. Understanding farmers' perceptions of climate change has become the key to the effective implementation of climate change adaptation policies. This research draws multidisciplinary attention to how farmers participate in decision-making on adaptation behaviors and provides useful insights for realizing synergies between environmental change and agricultural production. In this work, we conducted a meta-analysis of 63 quantitative studies on Chinese farmers' adaptation to climate change to assess the relationship between motivational factors and adaptation behavior. Our analysis highlights that farmers' perceptions of precipitation changes are often inaccurate; however, other psychological factors, such as perception, experience, and risk attitude, significantly positively impact their adaptation behavior. In addition, different climate regions are the main source of high heterogeneity in inter-study comparisons of climate change perception, and the effect of climate regions may therefore constitute a moderating factor that weakens the positive relationship between climate change perception and adaptive behavior. Furthermore, this study highlights the need to intervene at the household level to enhance farmers' adaptability to climate change, which includes providing support through income diversification, early warning information services, training, assistance, credit, subsidies, and other resources. In the future, research on how perception, experience, and risk interact to affect adaptive behavior should be strengthened.

From crisis to resilience: strengthening climate action in OECD countries through environmental policy and energy transition

Climate change represents a grave challenge to the global economy, environment, and societal well-being, jeopardizing their long-term sustainability. In response to this urgent issue, the study emphasizes the significance of environmental policy and energy transitions as fundamental factors in addressing the climate change crisis. The research draws upon data from OECD countries spanning the period between 1990 and 2020, utilizing robust econometric techniques to assess data properties. The study utilizes a comprehensive CS-ARDL model, incorporating multiple control variables like non-renewable energy GDP, foreign direct investment (FDI), and research and development (R&D). The results show that environmental policy and energy transitions are effective in reducing climate change impacts in the form of CO2 emissions. The non-environmental factors like GDP and FDI are positively associated and thereby accelerate climate change processes, whereas R&D promotes environmental protection by reducing CO2 emissions. Based on these findings, the study advocates for the implementation of rigorous policy measures by OECD economies to strengthen and enforce environmental policies to ensure compliance and foster sustainable practices across sectors. The study also suggests that OECD must promote energy transitions by investing in renewable energy sources at the mass level (micro and macro) and phasing out reliance on non-renewable energy.

A study evaluating the extrinsic and intrinsic determinants of farmers' adoption of climate change adaptation strategies: A novel approach for improving farmers' health

Small-scale farmers living in mountainous areas are particularly vulnerable to climate change. Although governments have implemented various support programs and policies to support a range of farmers to tackle climatic changes, there are still several difficulties in the implementation of these adaptation strategies. Using the survey data of 758 small-scale farmers this paper employs Multivariate Probit (MVP) and Poisson regression models to measure the effects of intrinsic and extrinsic factors affecting farmers adaptation decision in rural Vietnam. The results reveal that the extrinsic factors such as annual rainfall variations and farm size motivate farmers' adoption of their adaptations. The findings also reveal that the political connection has a significantly positive impact on the respondents' selection, while government interference such as extension training programs has a negative association with the farmers adaptation choice. Public extension programs should be simultaneously redesigned to support farmers in mitigating the impacts of climate change.

Honey Production and Climate Change: Beekeepers' Perceptions, Farm Adaptation Strategies, and Information Needs

Because climate change has severely impacted global bee populations by depleting their habitats and food sources, beekeepers must implement management practices to adapt to changing climates. However, beekeepers in El Salvador lack information about necessary climate change adaptation strategies. This study explored Salvadoran beekeepers' experiences adapting to climate change. The researchers used a phenomenological case study approach and conducted semi-structured interviews with nine Salvadoran beekeepers who were members of The Cooperative Association for Marketing, Production, Savings, and Credit of Beekeepers of Chalatenango (ACCOPIDECHA). The beekeepers perceived water and food scarcity, as well as extreme weather events (e.g., increasing temperature, rain, winds), as the leading climate change-induced challenges to their production. Such challenges have augmented their honey bees' physiological need for water, limited their movement patterns, decreased apiary safety, and increased the incidence of pests and diseases, all of which have led to honey bee mortality. The beekeepers shared adaptation strategies, including box modification, apiary relocation, and food supplementation. Although most beekeepers accessed climate change information using the internet, they struggled to understand and apply pertinent information unless they received it from trusted ACCOPIDECHA personnel. Salvadoran beekeepers require information and demonstrations to improve their climate change adaptation strategies and implement new ones to address the challenges they experience.

Toward carbon neutrality: a bibliometric analysis of technological innovation and global emission reductions

In the context of global carbon neutrality, climate change mitigation and response has become a top priority. Currently, countries around the world are setting emission reduction targets or are already involved in carbon-neutral actions, with technological innovation becoming the key to global emission reduction. Therefore, a systematic review of the literature related to technology innovation and emission reduction in response to carbon-neutral actions for climate change is conducted. A global bibliometric visualization analysis is presented using CiteSpace and VOSviewer software. This study visualizes the basic relationship between global emission reduction and technology-related literature under the carbon neutrality target and analyzes and discusses the spatial distribution and hotspot trends of the co-author network and knowledge base. The results show that (1) the trend of the number of relevant studies can be divided into two phases before and after, and starts to increase gradually after 2020. (2) The structural relationship of the author- and institution-based cooperative networks is relatively loose, and the main cooperative networks, mainly by countries, are initially formed by the key contributions of developed and emerging economies. (3) Relevant research hotspots are reflected in multiple perspectives such as investment, management, and policy, in addition to emission reduction targets and technological innovation itself. The causal relationship between relevant research and economic and political dimensions has become an important driving factor for research development. Especially in the paradigm shift phase, there are research characteristics of human intervention and specific actions. (4) In terms of future trends, research involving policy management, methodological efficiency, and systemic models will become important research paths in the future by matching the supply of actions to real needs.

Evaluating the role of renewable energy and technology innovations in lowering CO2 emission: a wavelet coherence approach

Environmental sustainability is one of the most critical issues that require efficient environmental and economic policies in modern times. Advancements in renewables and green technologies contribute significantly to sustained long-term development without affecting environmental quality. Several studies focus on the association of carbon dioxide emissions (CO₂e) with economic variables. However, they ignored the impact of technological innovations and renewable energy consumption on CO₂e in developed countries. Therefore, this study examines the relationship between CO₂e, energy consumption, gross domestic product (GDP), renewable energy consumption, and technology innovations in G-7 countries by employing cross-sectionally augmented autoregressive distributed (CS-ARDL) lag and wavelet coherence techniques during 1990-2020. The results depict that GDP and renewable energy consumption are inversely related to CO₂e. A 1% increase in CO₂e will decrease GDP and renewable energy consumption by 0.459 and 0.172% in the long run and by 0.471 and 0.183% in the short run in G7 countries. Technology innovations negatively impact CO₂e in the short run while positively influencing it in the long run. Considering the advancements in green technologies in different energy-dependent and manufacturing sectors is crucial for a sustainable environment in the long run. Such initiatives ensure the effective use of energy sources by limiting CO₂e in the atmosphere. Moreover, the dynamic common correlated effects mean group model confirms the reliability and effectiveness of the CS-ARDL. The wavelet coherence approach revealed a causality relation between CO2e and technology innovation in Italy, Japan, the UK, and the USA during the study period.

Development of multidimensional water poverty in the Yangtze River Economic Belt, China

As a basic natural and strategic resource, water is of great significance to the sustainable development of economies and societies. Owing to population growth, industrialization, the acceleration of urbanization, and global warming, water poverty is gradually increasing in some parts of the world. Effectively assessing water poverty from different dimensions is still a serious challenge for global water resources planning. This paper establishes a framework of multidimensional water poverty (MWP) from six dimensions: water management, water technology, water assets, water welfare, water resources, and water environment. The measurement model of MWP is built based on the Back Propagation Neural Network (BPNN), and the Spatial Correlation Analysis tool is used to visualize the spatial effects of MWP. The Yangtze River Economic Belt (YREB) was used as a case study and the main factors affecting the MWP of the YREB were determined by the Geodetector. When analyzing the results the following observations were made: (1) In terms of time distribution, the level of MWP in the YREB has gradually increased, and the poverty gap between the upper reaches, as well as the middle and lower reaches, shows an increasing trend. (2) With respect to spatial distribution, there is a continuously increasing agglomeration effect that shows a gradient-increasing distribution pattern of "West-Central-East." (3) The MWP in the YREB is mainly affected by these indicators in the three dimensions consisting of water resources, water technology, and water management. Specifically, R&D expenditure as a percentage of GDP, the proportion of water-saving irrigation area in the cultivable land area, the urban daily wastewater treatment capacity, the land surface water resources per capita, and the groundwater resources per capita play an important role in the MWP. Based on the above findings, targeted policy recommendations are proposed to alleviate the MWP in the YREB.

Green innovation and income inequality: A complex system analysis

The objective of this paper is to analyse the relationship between income inequality and environmental innovation. To this end, we use the Economic Fitness and Complexity algorithm to compute an index of green inventive capacity in a panel of 57 countries over the period 1970-2010. The empirical analysis reveals that, on average, inequality is detrimental to countries' capacity to develop complex green technologies. Using non-parametric methods we further articulate this general finding and uncover interesting non-linearities in the relationship between innovation and inequality.

Technological drought: a new category of water scarcity

In this paper, we argue that current definitions of drought, especially in the context of small-scale agricultural production, are incomplete. We introduce the concept of 'technological drought' to account for crop failures, reduced yields or water scarcity, which are the consequence of an inability to supplement water when there is a lack of irrigation technology and/or existing poor water management. We illustrate the diversity of causes of technological drought, which can include shortages of fuel or electricity to operate pumps, problematically high costs to access irrigation infrastructure, or constrained access to pumps that have to be shared among multiple farmers. We argue that vulnerability to technological drought can be strongly conditioned by socio-economic conditions and that its impact can be magnified when population growth and the demand for food mean that any decline in yield can have serious consequences for food security. We show that technological drought is a complex phenomenon, and can be differentiated from the more widely-recognised classes of drought (meteorological, agricultural, hydrological, and socio-economic) in multiple ways. In particular, technological drought exhibits an important dependence on the socio-economic context of agricultural production. It is perhaps most evident in developing economies, especially where agricultural output depends strongly on the capacity of individual farmers to manage crop water supply on small holdings. Technological drought can follow from even brief interruptions to monsoon rainfall during critical stages of crop growth, such that technological droughts can be distinguished from other forms of drought by their brevity.

Systematic Review of Multi-Dimensional Vulnerabilities in the Himalayas

The Himalayan region is a fragile high mountain landscape where the population experiences acute vulnerability within a complex coupled human-natural system due to environmental, social, and economic linkages. The lack of significant regional and spatial knowledge of multi-faceted vulnerabilities hinders any potential recommendations to address these vulnerabilities. We systematically reviewed the literature to recommend mitigation interventions based on the region's socio-economic and ecological vulnerability research to date. We applied the PRISMA (Preferred Reporting of Items for Systematic Review and Meta-Analysis) criteria to search for results from four comprehensive databases. For our assessment, we compiled a final sample (n = 59) of vulnerability research papers to examine the vulnerability types, spatial variation, assessment methodology, and significant drivers of change. Our study represented all Himalayan countries, namely, India, Nepal, Pakistan, China, and Bhutan. More than half of the vulnerability studies were conducted in the central Himalayan region, a quarter in the western Himalayas, and a few in the eastern Himalayas. Our review revealed that the primary drivers of change were climate change, land use/land cover, and glacial lake formation. The vulnerability assessments in the Himalayan region primarily used social science methods as compared to natural science methods. While the vulnerability studies seldom assessed mitigation interventions, our analysis identified fourteen recommendations. The recommended interventions mainly included policy interventions, livelihood improvement, and adaptation measures. This study emphasized that sustainable development requires cross-sectoral interventions to manage existing resources and mitigate the confronting vulnerabilities of the region.

Can Financial Institutional Deepening and Renewable Energy Consumption Lower CO2 Emissions in G-10 Countries: Fresh Evidence from Advanced Methodologies

To tackle the challenges associated with global warming and climate change, several countries set their targets to lower carbon emissions in accordance with COP21 (Paris Conference). Even though studies highlighted the different aspects that contribute to environmental degradation, there still exists the scarcity of adequate research that emphasizes the environmental implications of financial institutional deepening, renewable energy consumption (REC), and technology innovations. Therefore, this study investigated the significance of financial institutional deepening, REC, gross domestic product (GDP), imports, exports, and technology innovations to achieve sustainability in G-10 countries, namely The Netherlands, Germany, France, Switzerland, United Kingdom, Sweden, Japan, Belgium, Canada, and Italy from 1990 to 2020. The results obtained from cross-sectionally augmented autoregressive distributed lag (CS-ARDL) and the dynamic common correlated effects mean group (DCCEMG) models reveal that financial institutional deepening and imports positively impact CO₂ emissions (CO₂e) both in the long and short run. A 1% increase in financial institutional deepening and import will increase CO₂e by 0.5403% and 0.2942% in the short run and 0.2980% and 0.1479% in the long run levels, respectively. Contrary to this, REC, GDP, exports, and technology innovations improve environmental quality in these countries. The Dumitrescu & Hurlin causality test shows bidirectional causality between imports and CO₂e, GDP and CO₂e, exports and CO₂e, and financial institutional deepening and CO₂e, compared to unidirectional causality from technology innovations to CO₂e and from REC to CO₂e. Apart from this, the outcomes suggest that policymakers in G-10 countries have to consider their financial markets and firms to revise their current environmental policies.

The Role and Perspective of Climate Smart Agriculture in Africa: A Scientific Review

Climate-smart agriculture (CSA) is gaining a wide acceptance as a laudable approach that can assist farmers to maximize the potential of the farming systems in Africa. A number of practices have been identified as CSA practices, and successful outcomes of CSA technologies are being reported. However, CSA uptake among African farmers remains low despite its proven potential. The aim of this paper is to analyse the state of CSA in Africa and identify the constraints to the uptake of the practices among smallholder farmers. This paper synthesizes a subset of literature between 2010 and 2020. The key findings are that the response to climate change and the pattern and extent of adoption of CSAs differs from one macro-area to another. Factors such as resource constraints, institutional instruments, climate and ecological settings, and farmers’ characteristics, such as farmers’ experience and access to extension services, are significant determinants of CSA adoption. Socioeconomic constraints, poor availability of data and mastery of CSA approach, inadequate labour, and the wide diversity of the farming systems in Africa are challenges militating CSA uptake in the system This paper argues that it is crucial to ensure that limited resources available are systematically harnessed to achieve the triple-win benefits of CSA. Furthermore, there is the need to identify and prioritize locally suitable CSA practices and provide an enabling environment needed for CSA uptake and sustenance in the African farming systems.

Regional Features and Spatial Distribution of Fifty-Eight Ethnic Groups in Southwest China

Eco-environmental variability was the basis of ethnic diversity with a persistent influence on the regional development. The unique geographic conditions and multi-ethnic characteristics in southwest China were valuable for exploring sustainable development of ethnic regions. In this study, the regional features of distribution areas of ethnic groups in southwest China were analysed, and it was found that average altitude, slope, water coverage and water form ratio of each ethnic group differed apparently. Additionally, regional features of southern minorities were relatively stable, while those of northern minorities changed evidently from 1990 to 2010. Furthermore, taking the spatial coordinates and regional features as parameters, fifty-eight ethnic groups were clustered into six categories via spatial cluster analysis. Moreover, based on the county-level population data, the ethnic similarities in southwest China were identified by correlation analysis, and the results were in accordance with those of spatial cluster analysis but more detailed. In addition, the eco-environmental adaptability of various ethnic groups was discussed in terms of living and production as well as regional sustainable development. This research was of referential meaning for population settlement, natural resources utilization and biodiversity conservation in multi-ethnic regions.

African Environmental Ethics: Keys to Sustainable Development Through Agroecological Villages

This essay proposes African-based ethical solutions to profound human problems and a working African model to address those problems. The model promotes sustainability through advanced agroecological and information communication technologies. The essay's first section reviews the ethical ground of that model in the work of the Senegalese scholar, Cheikh Anta Diop. The essay's second section examines an applied African model for translating African ethical speculation into practice. Deeply immersed in European and African ethics, Godfrey Nzamujo developed the Songhaï Centers to solve the problem of rural poverty in seventeen African countries. Harnessing advanced technologies within a holistic agroecological ecosystem, Nzamujo's villages furnish education spanning the fields of ethics, information communication technology, microbiology, international development, and mechanical, electrical, civil and biological engineering in a community-based and centered development enterprise. The essay proposes a global consortium of ecovillages based on Nzamujo's model. The final section explores funding methods for the consortium. The conclusion contemplates a return to Africa to supplement environmental ethics that enhance life's future on earth.

Do technological innovations promote green growth in the European Union?

The present study aims to investigate the impact of climate change technologies on green growth for a panel of overall European economies, Eastern, and Western European economies over 2000 to 2017. The study estimates the STIRPAT (stochastic impacts by regression on population, affluence, and technology) and IPAT (human impact, population, affluence, and technology) models with a particulate focus to address the issue of cross-sectional dependence and cross-sectional heterogeneity in the model by using Westerlund cointegration approach and fully modified ordinary least square (FMOLS) approach. After confirming the cointegration relationship, the findings indicate that in the case of IPAT model, energy-related climate change technology contributes towards green growth, while in case of STRIPAT model, environment-related budget tends to have favorable impact on green growth. However, other variables, such as transport and production-related climate change technologies along with energy consumption, tend to have negative impact on green growth. The findings are almost robust concerning Eastern and Western Europe. The findings indicate that renewable energy is pro-growth and thus the authorities concerned need to promote and encourage the use of renewable energy. In this regard, the role of public-private-partnership is important as well as policymakers need to allocate environment-related specific budget and extend exemption in taxes on the use of environment-friendly technologies. Renewable energy programs ensure an improved return on green growth, although costly to implement. Attention needs to be focused on technologies related to wind power, solar electricity, biogas for electricity and heat generation, and biofuels for transport from low initial levels. Thus, policymakers should focus on the positive impact of environmental regulations. Polluting industries should be taxed to adopt clean technologies and clean industries should be supported with tax exemption as an incentive. Moreover, the research and development (R&D) budget should be increased.

Technology Transfer Oriented to Sustainable Development: Barriers and Opportunities

The process of technology transfer is complex and involves a series of factors and variables. Within this process, it is common that transferor and transferee might face several barriers. Furthermore, processes involving innovation and technology transfer must consider the impacts for the sustainable development. Taking these aspects into account, this paper aims to identify the barriers and opportunities in technology transfer oriented to sustainable development. To reach this goal, a systematic review of literature was carried out using the methodology Methodi Ordinatio. A portfolio composed of 107 scientific articles was built. The results demonstrate the main barriers, among which we can mention unavailability of financial resources or subsidies to obtain or implement a certain technology, and bureaucracy to obtain these resources. On the other hand, some opportunities can also be found, like Clean Development Mechanism and policies and regulations that favour the adoption and diffusion of clean technologies. Thus, this paper contributes to the academy by exploring the interconnections of Technology Transfer and Sustainable Development in the literature. This paper also contributes to the presentation of knowledge resources — information regarding barriers and opportunities to technology transfer oriented to sustainable development — so that governments and decision makers could define policies and strategies for a more effective process.

Innovation for carbon mitigation: a hoax or road toward green growth? Evidence from newly industrialized economies

The research explores the nexus between technological innovation and green growth in nine newly industrialized (NI) countries for the period from 2000 to 2016. Cross-sectional dependence and unit root tests are preliminary conducted. Pedroni's panel cointegration and fully modified OLS (FMOLS) confirm the existence of long-run variables association. The outcome from IPAT, STIRPAT, and MLR reveals that production and processing-related technologies are harmful to green growth. Climate change mitigation technologies linked to transportation, water treatment, and processing have a positive impact on green growth. However, energy consumption, generation, and transmission technologies hurt the environment. Similarly, energy consumption in the agriculture sector adds in greenhouse gas emission, whereas, renewable energy is contributing positively to green production and growth. Environmental taxes and research and development budgets are playing a decisive role in the pursuit of green growth. The results have significant policy implications for policymakers, which can lead to green growth.

Can Building "Artificially Intelligent Cities" Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar's Perspective

In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented pace. With highly sophisticated capabilities, AI has the potential to dramatically change our cities and societies. Despite its growing importance, the urban and social implications of AI are still an understudied area. In order to contribute to the ongoing efforts to address this research gap, this paper introduces the notion of an artificially intelligent city as the potential successor of the popular smart city brand-where the smartness of a city has come to be strongly associated with the use of viable technological solutions, including AI. The study explores whether building artificially intelligent cities can safeguard humanity from natural disasters, pandemics, and other catastrophes. All of the statements in this viewpoint are based on a thorough review of the current status of AI literature, research, developments, trends, and applications. This paper generates insights and identifies prospective research questions by charting the evolution of AI and the potential impacts of the systematic adoption of AI in cities and societies. The generated insights inform urban policymakers, managers, and planners on how to ensure the correct uptake of AI in our cities, and the identified critical questions offer scholars directions for prospective research and development.

The overlooked spatial dimension of climate-smart agriculture

Climate-smart agriculture (CSA) and sustainable intensification (SI) are widely claimed to be high-potential solutions to address the interlinked challenges of food security and climate change. Operationalization of these promising concepts is still lacking and potential trade-offs are often not considered in the current continental- to global-scale assessments. Here we discuss the effect of spatial variability in the context of the implementation of climate-smart practices on two central indicators, namely yield development and carbon sequestration, considering biophysical limitations of suggested benefits, socioeconomic and institutional barriers to adoption, and feedback mechanisms across scales. We substantiate our arguments by an illustrative analysis using the example of a hypothetical large-scale adoption of conservation agriculture (CA) in sub-Saharan Africa. We argue that, up to now, large-scale assessments widely neglect the spatially variable effects of climate-smart practices, leading to inflated statements about co-benefits of agricultural production and climate change mitigation potentials. There is an urgent need to account for spatial variability in assessments of climate-smart practices and target those locations where synergies in land functions can be maximized in order to meet the global targets. Therefore, we call for more attention toward spatial planning and landscape optimization approaches in the operationalization of CSA and SI to navigate potential trade-offs.

Mapping of climate change research in the Arab world: a bibliometric analysis

The attendant threats of climate change in the Arab world are accelerating at a high pace. The realization of these risks has promoted scientific research activities in climate change (i.e., modeling of climate change effects and development of mitigation and adaptation measures). A bibliometric analysis was desired to trace the status and trends of these research activities with an origin from the Arab world. The aim was to contribute to a better understanding of the scientific knowledge of climate change and its impacts and survey its evolution. Moreover, it is aimed at enabling recommendations for future research activities in this field. The data of this analysis were retrieved from the Scopus database using the most common terms of climate change to search titles, abstracts, and keywords. The collected data, in the form of documents referring to climate change, enabled to extract and further assess different quantitative and qualitative bibliometric indicators. Productivity of countries, sources, and institutions; collaboration figures; impact of published research; and citation rates were being among the assessed indicators. Subsequently, the data were analyzed using visualization maps and clustering techniques to characterize the hot spots and vital topics of research. A total of 2074 documents (1.2% of the total global research output) were retrieved from the Arab world. Saudi Arabia took the leading positions in terms of the number of publications (473 documents; 22.8%), impact of research (Hirsch index (h-index), 48), collected citations (10,573 citations), and number of documents from collaboration (389 documents). The USA was the most collaborated country with the Arab world (344 documents; 17.0%), followed by France (311 documents; 15.0%). The most productive journal was Plos One (42 documents; 2.0%), followed by the Arabian Journal of Geosciences (38 documents; 1.8%). Three institutions from Saudi Arabia were in the forefront in terms of research productivity (King Abdulaziz University, 124 documents; King Saud University, 117 documents; and King Abdullah University of Science and Technology, 102 documents). The vital climate change-related topics which will continue to be active in the future are climate modeling, physiology, genetics, and animals. The present data indicate a committed scientific research progress. Increasing the fund, capacity building, and development of regional experience with climate change-related disasters are key factors to promote the scientific research in this field.

Identifying the trade-offs between climate change mitigation and adaptation in urban land use planning: An empirical study in a coastal city

Cities play a significant role in climate change mitigation and adaptation. Urban land planning shapes the urban form and is considered to be an effective approach for climate change mitigation and adaptation. Yet, there is little knowledge about what urban forms can reduce both greenhouse gas (GHG) emissions and climate stresses while considering trade-offs between them. Here, we investigate the role of urban land use in both climate change mitigation and adaptation. In particular, we assess quantitatively the competition between strategies for mitigation and adaptation and identify potential win-win solutions in land use responses. Using a coastal city as a case study, we find that the land use strategies for unilateral mitigation or adaptation can cause contradicting consequences with respect to the reductions in GHG emissions and climate stresses, i.e. reductions in GHGs could increase climate stresses or vice versa. Poorly integrated strategies potentially may compromise international efforts to meet the Climate Action in the Sustainable Development Goals. Properly integrated mitigation and adaptation strategies, or climate-sensitive land use planning, however, can lead to win-win outcomes and eventually achieve co-benefits. Yet, any co-benefits will gradually diminish if there is a delay in climate-sensitive land use planning, implying growing GHGs and intensified climate stresses. Our analysis indicates that integrating climate change mitigation and adaptation in urban land use needs to be enacted as soon as possible: any delays in implementation reduce the window to act to maximize the co-benefits.

Biomimetics for business? Industry perceptions and patent application

Purpose

Biomimetics are expected to contribute to sustainable environmental management; however, there has been no exploration of industry perceptions by using empirical data. This study aims to identify the trends and perceptions of biomimetics. The industrial sectors in Japan and international patent application trends are analyzed.

Design/methodology/approach

An online survey to identify the perceptions of staff members in Japanese private companies (n = 276) was conducted. Japan is an emerging country in terms of the social implementation of biomimetics, and this paper can provide insights into other such countries.

Findings

It is identified that the strength of connections to biomimetics differs across industrial sectors. The respondents from companies that use nanoscale biomimetics tend to have the knowledge of, and experience in, biomimetics. Regarding the overall understanding of patent applications, Japanese private company employees require knowledge of patent application trends and country rankings as potential factors influencing the development of biomimetics.

Social implications

Knowledge transfer and sharing of experience among engineers and researchers of nanoscale technologies and urban scales are necessary to facilitate biomimetic advancement.

Originality/value

The results of the first survey and an analysis of the perceptions of staff members in private companies in Japan are provided to show the challenges in the social implementation of biomimetics. The results can be referred to for the social implementation of biomimetics in emerging countries. The method of this study can be applied to an international comparative analysis in future research.

Investigating the determinants of human development index in Pakistan: an empirical analysis

In this modern era, the importance of information and communication technology (ICT) cannot be ignored for sustainable human development. However, Pakistan has experienced a considerable gap between ICT economic growth and human development. In this regard, this study has modeled the relationship between ICT, economic growth, and the human development index (HDI) considering urbanization, foreign direct investment (FDI), and trade for the period from 1990 to 2014. An autoregressive distributed lag (ARDL) and vector error correction model (VECM) approaches are used to analyze the data. The empirical results reveal that ICT promote human development index. Along with, economic growth has a positive and significant impact on human development. Besides, urbanization, trade, and FDI discourage human development in Pakistan. Finally, bidirectional causality is detected between the aforementioned variables. Recommendations to policymakers regarding the productive role of FDI and trade are provided.

Influence of climate and environmental change in Nigeria: a review on vulnerability and adaptation to climate change

This paper reviews the current issues that involve environmental changes in Nigeria and environmental threats within the country. The fundamental aim of scientific knowledge in environmental studies is to reconcile climate change and environmental sustainability with developmental goals. Therefore, information on impact adaptation to climate change and vulnerability research is required to develop specific, action-oriented, interdisciplinary, successful, sociopolitical and democratic reform for the entire population of a country. This condition requires large inclusion of environmental researchers, institutions, re-inventing of research structures and ideas to dominate the global environmental change research and the critical analysis of present decision making, power, structure and related information structures. This review presents the effect of climate change in Nigeria and encourages adaptation research with challenging innovation, such as the use of energy-efficient renewable energy sources to significantly reduce greenhouse gas emissions. This paper also highlighted the need for researchers to become detailed, action oriented and multiscalar and to attend communications structure problems in enhancing the environmental activity.

Geographic Information and Communication Technologies for Supporting Smallholder Agriculture and Climate Resilience

Multiple factors constrain smallholder agriculture and farmers’ adaptive capacities under changing climates, including access to information to support context appropriate farm decision-making. Current approaches to geographic information dissemination to smallholders, such as the rural extension model, are limited, yet advancements in internet and communication technologies (ICTs) could help augment these processes through the provision of agricultural geographic information (AGI) directly to farmers. We analysed recent ICT initiatives for communicating climate and agriculture-related information to smallholders for improved livelihoods and climate change adaptation. Through the critical analysis of initiatives, we identified opportunities for the success of future AGI developments. We systematically examined 27 AGI initiatives reported in academic and grey literature (e.g., organisational databases). Important factors identified for the success of initiatives include affordability, language(s), community partnerships, user collaboration, high quality and locally-relevant information through low-tech platforms, organisational trust, clear business models, and adaptability. We propose initiatives should be better-targeted to deliver AGI to regions in most need of climate adaptation assistance, including SE Asia, the Pacific, and the Caribbean. Further assessment of the most effective technological approaches is needed. Initiatives should be independently assessed for evaluation of their uptake and success, and local communities should be better-incorporated into the development of AGI initiatives.

Updating energy security and environmental policy: Energy security theories revisited

The energy security theories are based on the premises of sufficient and reliable supply of fossil fuels at affordable prices in centralized supply systems. Policy-makers and company chief executives develop energy security strategies based on the energy security theories and definitions that dominate in the research and policy discourse. It is therefore of utmost importance that scientists revisit these theories in line with the latest changes in the energy industry: the rapid advancement of renewables and smart grid, decentralization of energy systems, new environmental and climate challenges. The study examines the classic energy security concepts (neorealism, neoliberalism, constructivism and international political economy) and assesses if energy technology changes are taken into consideration. This is done through integrative literature review, comparative analysis, identification of 'international relations' and 'energy' research discourse with the use of big data, and case studies of Germany, China, and Russia. The paper offers suggestions for revision of energy security concepts through integration of future technology considerations.

Low-carbon agriculture in South America to mitigate global climate change and advance food security

The worldwide historical carbon (C) losses due to Land Use and Land-Use Change between 1870 and 2014 are estimated at 148 Pg C (1 Pg=1billionton). South America is chosen for this study because its soils contain 10.3% (160 Pg C to 1-m depth) of the soil organic carbon stock of the world soils, it is home to 5.7% (0.419 billion people) of the world population, and accounts for 8.6% of the world food (491milliontons) and 21.0% of meat production (355milliontons of cattle and buffalo). The annual C emissions from fossil fuel combustion and cement production in South America represent only 2.5% (0.25 Pg C) of the total global emissions (9.8 Pg C). However, South America contributes 31.3% (0.34 Pg C) of global annual greenhouse gas emissions (1.1 Pg C) through Land Use and Land Use Change. The potential of South America as a terrestrial C sink for mitigating climate change with adoption of Low-Carbon Agriculture (LCA) strategies based on scenario analysis method is 8.24 Pg C between 2016 and 2050. The annual C offset for 2016 to 2020, 2021 to 2035, and 2036 to 2050 is estimated at 0.08, 0.25, and 0.28 Pg C, respectively, equivalent to offsetting 7.5, 22.2 and 25.2% of the global annual greenhouse gas emissions by Land Use and Land Use Change for each period. Emission offset for LCA activities is estimated at 31.0% by restoration of degraded pasturelands, 25.6% by integrated crop-livestock-forestry-systems, 24.3% by no-till cropping systems, 12.8% by planted commercial forest and forestation, 4.2% by biological N fixation and 2.0% by recycling the industrial organic wastes. The ecosystem carbon payback time for historical C losses from South America through LCA strategies may be 56 to 188years, and the adoption of LCA can also increase food and meat production by 615Mton or 17.6Mtonyear^-1 and 56Mton or 1.6Mtonyear^-1, respectively, between 2016 and 2050.