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Coastal zone ecological restoration project is of great significance to alleviate marine ecological degradation. Evaluating the effect of coastal ecological restoration projects and identifying the obstacle factors affecting their restoration level can provide an empirical basis for future Marine ecological restoration projects.

However, due to the initial stage of coastal zone ecological restoration projects, the actual monitoring data of coastal zone ecological restoration is relatively lacking. Based on the CRITIC-TOPSIS (combination of CRITIC method and TOPSIS method) method, combined with the subjective perception of the public and the actual data of the restoration project, this paper proposes an evaluation method of the coastal zone ecological restoration effect to obtain the specific implementation effect of the coastal zone ecological restoration project. The main obstacle factors affecting the evaluation of coastal ecological restoration effect are identified by using the obstacle degree model.

This paper conducted an empirical study on the restoration of sandy shoreline and coastal wetland in Qinhuangdao city. Based on the data of restoration projects and the subjective perception of ecological restoration by the public in Qinhuangdao city, the research results showed that the coastal zone ecological restoration effect of Qinhuangdao city was general. The quality of the restoration project and the public perception have an important influence on the evaluation of the restoration effect. Improving the quality of the restoration project, strengthening the public's participation in ecological restoration and allowing the public to better participate in the ecological restoration of the coastal zone can improve the effect of ecological restoration of the coastal zone in an all-round way.

The research results of this paper have a guiding role in the ecological restoration of coastal cities in the future, and also have a demonstration and reference role for the assessment of the effect of ecological restoration of coastal zones.

Ghana's economy is largely agrarian, and the business of agriculture is dominated by smallholder farmers who are predominantly rural dwellers. As a result, efforts to lift rural farming households from poverty have been narrowed to the promotion of agricultural development to the neglect of the rural non-farm sector. However, this is fast changing in the advent of a burgeoning rural nonfarm economy and must engage the attention of policy actors. This study thus assesses the effect of non-farm participation on households' level of commercialization of agricultural crops in Ghana.

The study applies a generalized structural equation model (GSEM) to the Ghana Living Standards Survey round 6 dataset, a stratified and nationally representative random sample of 16,772 households in 1,200 enumeration areas.

This study finds that non-farm participation increases the produce sold to output ratio. It is concluded that non-farm engagement by farmers boosts commercialization in Ghana. Thus, for the Ghanaian and similar contexts, agricultural development interventions that incorporate non-farm activities are more likely to be successful in improving livelihoods.

The study uses only the ratio of sales value to output value definition for commercialization and acknowledges use of multiple definitions could be superior.

Various empirical studies have examined the link between the farm and nonfarm sectors. This paper is original in its approach as it tackles an aspect of the subject that has been understudied, namely, an exploration of nonfarm and farm linkages from the perspective of agricultural commercialization.

This study aims to determine shoreline change statistics and net erosion and accretion, along the Kuakata Coast, a magnificent sea beach on Bangladesh’s southernmost point.

The research follows a three stages way to achieve the target. First, this study has used the geographic information system (GIS) and remote sensing (RS) to detect the temporal observation of shoreline change from the year 1991 to 2021 through satellite data. Then, the digital shoreline analysis system (DSAS) has also been explored. What is more, a prediction has been done for 2041 on shoreline shifting scenario. The shoreline displacement measurement was primarily separated into three analytical zones. Several statistical parameters, including Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), End Point Rate (EPR) and Linear Regression Rate (LRR) were calculated in the DSAS to quantify the rates of coastline movement with regard to erosion and deposition.

EPR and LRR techniques revealed that the coastline is undergoing a shift of landward (erosion) by a median rate of 3.15 m/yr and 3.17 m/yr, respectively, from 1991 to 2021, 2.85 km² of land was lost. Naval and climatic influences are the key reasons for this variation. This study identifies the locations of a significantly eroded zone in Kuakata from 1991 to 2021. It highlights the places that require special consideration while creating a zoning plan or other structural design.

This research demonstrates the spatio-temporal pattern of the shoreline location of the Kuakata beach, which would be advantageous for the region’s shore management and planning due to the impacts on the fishing industry, recreation and resource extraction. Moreover, the present research will be supportive of shoreline vulnerability. Hence, this study will suggest to the local coastal managers and decision-makers for particularizing the coastal management plans in Kuakata coast zone.

The lessons learned from the 2004 tsunami phenomenon fueled the government and other local authorities to strengthen the legitimate background to mitigate such devastation in future events. This study aims to propose a standardized tsunami-resilient construction guideline for Sri Lanka by integrating existing local and international standards.

A comprehensive literature survey was carried out to undertake the study, with a wide-ranging content and thematic analysis of existing tsunami-resilient construction aspects in Sri Lanka. Integrating all existing guidelines with international standards, finally, a consolidated guideline with significant tsunami-resilient building aspects was proposed for stakeholders involved with the resilient built environment in tsunami-prone areas, particularly during the building construction in the coastal belt.

The existing tsunami-resilient guidelines in Sri Lanka follow similar aspects but in different dimensions. Compared to the international standards, few significant aspects create a gap in local guidelines. Thus, the findings demonstrated that the existing local guidelines must be modified and strengthened by mainstreaming into international practices.

Existing guidelines are more concerned with structural aspects. Nevertheless, proper integration of local and international guidelines would be more favorable to minimizing existing local guidelines’ gaps. Further, a standardized tsunami-resilient building guideline would be a referring document for all stakeholders in tsunami-resilient constructions.

By aligning local guidelines with international standards, the reliability of the guidelines will be increased and direct the built environment to quality disaster-resilient constructions.

Through a standardized guideline, the community can rely on tsunami-resilient construction in coastal cities.

The consolidated guideline further contains the essentials of city resilience in tsunamis and would be an excellent reference for relevant stakeholders than aligning with several guidelines.

The climate change and related impacts are experienced around the world. There arise different triggering factors to climate change and impact. The purpose of this study is to figure out how changes in vegetation cover may or may not have an impact to climate change. The research will produce ideas for vegetation preservation and replant.

The investigation was probed for 34 years’ time period starting from the year 1981 to 2015. After testing and checking for serial autocorrelation in the vegetation data series, Mann–Kendal nonparametric statistical evaluation was carried out to investigate vegetation cover trends. Sen’s method was deployed to investigate the magnitude of vegetation cover change in natural differential vegetation index (NDVI) unit per year. Furthermore, the ArcGIS spatial analysis tools were used for the calculation of mean NDVI distribution and also for carrying out the spatial investigation of trends at each specific location within the study region.

The yearly mean NDVI during the study period was observed to have a decreasing trend. The mean NDVI value ranges between 0.32 and 0.98 NDVI unit, and hence, this means from less or poor vegetated zones to higher or healthier vegetated zones. The mean NDVI value was seen decreasing toward the highlands regions. The NDVI-rainfall correlation was observed to be stronger than the NDVI-temperature correlation. The % area coverage of NDVI-rainfall positive correlation was higher than the negative correlation. The % area coverage of NDVI-temperature negative correlation was higher than the positive correlation within the study region. Rainfall is seen as a highly influencing climatic factor for vegetation growth than the temperature within the study region.

This study in this country is a new approach for climate change monitoring and planning for the survival of the people of Papua New Guinea, especially for the farmer and those who is living in the coastal area.

Safe-to-fail (SF) is an emerging resilient design approach that has the potential to minimize the severity of flood damages. The purpose of this study is to explore the SF design strategies to reduce flood disaster damages in US coastal cities. Therefore, this study addresses two research questions: identifying the most suitable SF criteria and flood solution alternatives for coastal cities from industry professionals’ perspective; and investigating the controlling factors that influence the AEC students’ interest to learn about SF concepts through the curricula.

This study used the analytical hierarchy process to evaluate the SF criteria and flood solutions where data were collected through surveying 29 Department of Transportation professionals from different states. In addition, the study adopted a quantitative methodology by surveying 55 versed participants who reside in a coastal area and have coastal flood experiences. The data analysis included ordinal probit regression and descriptive analysis.

The results suggest that robustness is the highest weighted criterion for implementing SF design in coastal cities. The results demonstrated that ecosystem restoration is the highest-ranked SF flood solution followed by green infrastructure. Moreover, the results highlighted that age, duration spent in the program and prior knowledge of SF are significantly related to AEC students’ interest to learn this concept.

SF design anticipates failures while designing infrastructures thus minimizing failure consequences due to flood disasters. The findings can facilitate the implementation of the SF design concept during the construction of new infrastructures in coastal cities as well as educate the future workforces to contribute to developing resilient built environments.

After completion of the case study, the students will learn about the blue ocean strategies that are adopted by entrepreneurs when they are entering into a new business territory and be able to perform an industry analysis and understand the competitive advantage that a firm possesses in a new market using Porter’s five forces framework.

This case study is about Sushant, an entrepreneur, who started his entrepreneurial venture in water sports tourism along the coastlines of India. His core business was into offering kayaking and camping activities. However, he planned to scale up his business by expanding its geographical reach. To fulfill this, he was also planning to manufacture his own kayaks, which would increase economies of scale in the long run. This case study investigates the dilemma of whether he should first increase his service offerings before expanding geographically or focus on geographical expansion and then increase service offerings.

This case is designed to be taught at the post-graduate level (Master of Business Administration) for an entrepreneurship course.

Teaching notes are available for educators only.

CSS3: Entrepreneurship.

Urban areas, especially in the coastal region of Bangladesh, face environmental degradation due to rapid urbanization, uncontrolled socio-economic activities and experiencing the adverse impacts of climate change. Nature-based solutions (NbS) as options for restoring, preserving, maintaining and elevating natural features or systems are becoming popular for reducing vulnerabilities caused either by natural hazards or human-induced activities. With this understanding, this study aims to explore the need of practicing NbS by studying the condition of a tidal canal (known as Thakurani Khal) and its peripheral areas of Mongla Port Municipality, a coastal and seaport town in Bangladesh.

This case study-based research uses multiple inquiries, including focus group discussions, pair-wise comparison, observation, GIS-based mapping, key informant interviews and secondary climate data review, to understand the spatial development of the area and community reactions to the changes in the urban environment.

The natural water flow of this canal is controlled by sluice gates that indirectly allowed the dweller to encroach its lands and convert the canal into a solid waste dumping area. These human-induced activities as well as the climate change-induced events (i.e. extreme heat, intensive and irregular rainfall, increased number of cyclones, etc.) have made the adjacent areas prone to waterlogging and drainage congestion. In this context, the revival of the original natural quality of the canal has been identified as an alternative to ensuring an adaptive urban environment.

This research highlights the importance of practicing NbS for developing urban resilience in the context of climate change.

Tourists’ irresponsible behaviours (e.g. damaging flowers, writing and painting on the walls and throwing waste material in the water and around the sea site) damage the coastal environment. The irresponsible behaviour of tourists has raised concerns about the sustainability of the coastal tourism environment. The purpose of this study is to identify and explain the behavioural patterns of tourists that can influence the environmentally responsible behaviours (ERBs) of tourists, particularly in the context of coastal tourism. The study aims to provide a theoretical and practical explanation of destination image and perceived destination value (PDV) in shaping ERB with the mediating role of destination social responsibility (DSR) among tourists at the coastal touring destination.

The study used a quantitative research design and data were gathered from the five beaches in Karachi. Structured equation model was used to analyse the direct and mediating effect while stepwise regression was used to analyse the moderating effect of DSR. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While the affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. Results of the study revealed that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB.

The results are divided into three categories, direct effect, mediating effect and moderating effect. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. It is found in the results that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB.

First, data has been collected from a single geographic area of Pakistan. Therefore, cross-country data are required to compare the ERB of tourists. Second, only local respondents are considered in the study; future studies may include foreign tourists as well. Finally, data has been collected during one month in summer, which may have measured the experience of only summer. The respondent may have different perceived values and destination images during winter. The future study may split data collection into summer and winter to cover diverse perceptions of tourists.

It is almost impossible for coastal destinations to achieve a competitive advantage without attaining sustainable coastal environments. Clean and green beaches and responsible behaviour towards marine mammals can only be achieved through tourists’ ERB. This study has major contributions towards society by reserving the natural environment of coastal areas.

This research will significantly contribute to the existing literature by extending the ERB knowledge through the theoretical lens of cognitive-affective-conative models and social expectancy theory. Moreover, PDV as a mediator and DSR as a moderator will enhance the understanding of ERB and extend the existing literature. Further research has provided a strong understanding of how cognitive, effective and conative image helps in influencing the ERB of tourists. Moreover, research will benefit destination managers and policymakers to enhance the image and perceived value of touring destinations. Finally, this study is a unique attempt to present a comprehensive model which could be applicable to diverse situations and areas.

This study aimed to identify the potential for economic activities related to the ocean economy in Brazil to become blue economy (BE) activities, in which the concept of the Sustainable Development Goals (SDGs) is central.

To achieve the aim, the authors collected information on the SDGs and estimated data from the ocean economy sectors for the 256 Brazilian coastal cities. The authors predicted the indices for potential development of territories and sectors in the BE using two parameters: employed persons (EP) and sectoral added value (AV).

The results show that the capitals of coastal states present the highest potential indices for the BE, especially Rio de Janeiro, which accounted for 83.3% of sectoral added value in the Brazilian ocean economy with potential for sustainable development and generated 107,800 active formal jobs (26.9% of the country's total). In addition, restaurants, hotels and similar establishments are, on the Brazilian coast, the most frequent on the coastal zone and have the highest potential for BE activities.

Regarding its contributions, this research innovates by developing an indicator that can help stakeholders understand the similarities and differences between cities and regions, whether through a social, economic, or environmental lens. Therefore, by following this methodological path for measuring the BE, viewing the distinct patterns of sustainable development by area is possible, thereby supporting action plans for the fulfillment of the 2030 Agenda and the implementation of a marine spatial planning process for the country in the context of the Ocean Decade (2021–2030).

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0112