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    Right-wing and populist support for climate mitigation policies: Evidence from Poland and its carbon-intensive Silesia region
    Mahir YAZAR, Lukas HERMWILLE, Håvard HAARSTAD
    Regional Sustainability    2022, 3 (4): 281-293.   DOI: 10.1016/j.regsus.2022.11.001
    Abstract562)   HTML6)    PDF(pc) (371KB)(55)       Save

    Research on environmental behaviour is often overlooked in literature on regime destabilization in energy transitions. This study addresses that gap by focusing on socio-political and demographic factors shaping support for carbon regime destabilization policies in one of the most carbon-intensive regions of Europe. Carbon-intensive industries, especially coal mining and coal-based power generation, are often concentrated in a few carbon-intensive regions. Therefore, decarbonization actions will affect those regions particularly strongly. Correspondingly, carbon-intensive regions often exert significant political influence on the two climate mitigation policies at the national level. Focusing on Poland, we investigate socio-political and demographic factors that correlate with the approval or rejection of the two climate mitigation policies: increasing taxes on fossil fuels such as oil, gas, and coal and using public money to subsidize renewable energy such as wind and solar power in Poland and its carbon-intensive Silesia region. Using logistic regression with individual-level data derived from the 2016 European Social Survey (ESS) and the 2014 Chapel Hill Expert Survey (CHES), we find party-political ideology to be an important predictor at the national level but much less so at the regional level. Specifically, voting for right-wing party is not a divisive factor for individual support of the two climate mitigation policies either nationally or regionally. More interestingly, populism is a strong factor in support of increasing taxes on fossil fuel in the carbon-intensive Silesia region but is less important concerning in support of using public money to subsidize renewable energy in Poland overall. These results show the heterogeneity of right-wing party and populism within the support for the two climate mitigation policies. Socio-demographic factors, especially age, gender, education level, employment status, and employment sector, have even more complex and heterogeneous components in support of the two climate mitigation policies at the national and regional levels. Identifying the complex socio-political and demographic factors of climate mitigation policies across different national versus carbon-intensive regional contexts is an essential step for generating in situ decarbonization strategies.

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    Transaction costs for collaboration in the watershed management of the Cuyahoga River Area of Concern
    Scott Daniel HARDY
    Regional Sustainability    2022, 3 (2): 146-156.   DOI: 10.1016/j.regsus.2022.07.005
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    This study examines the transaction costs of collaborative watershed management in the Cuyahoga River Area of Concern (AOC)—one of the 43 geographic areas designated by the U.S. and Canada Great Lakes Water Quality Agreement (GLWQA), where significant impairment of beneficial uses has occurred as a result of human activities. The Cuyahoga River is located in Northeast Ohio, the U. S. and flows through the City of Cleveland before draining into Lake Erie—one of the five Great Lakes of North America. The watershed is degraded due to municipal and agricultural discharges, streambank erosion, and contamination from urban and industrial sources. This research explores how a diverse group of stakeholders convened under the Cuyahoga River AOC Advisory Committee to share information, coordinate activities, agree on activities that restore beneficial uses, and support strategic management actions. In this study, 23 semi-structured interviews with members of the advisory committee were conducted between January 28, 2020 and April 20, 2020, with follow-up emails and phone calls as needed to corroborate information. A review of research articles and government documents supported the interviews, including United States Environmental Protection Agency (U.S. EPA) and Ohio Environment Production Agency (OEPA) reports on the GLWQA and Cuyahoga River Remedial Action Plans. A third source of data is from direct participant observation at quarterly meetings of the advisory committee during 2017-2020, binational AOC conferences in 2017 and 2019, and other professional events geared towards restoring the Cuyahoga River AOC in 2016-2020. Results help to explain the collaborative process within the advisory committee and measure the institutional performance of the advisory committee in terms of efficiency, equitability, accountability, and adaptability. Results of this study include a set of recommendations to help guide group structure and decision-making processes, including (1) employing best available technology to organize AOC events and disseminate information; (2) supporting new members with an orientation and/or mentor to clearly define formal and informal committee rules; (3) assuring equal access to detailed information on management action plans with a real time dashboard; (4) updating voting procedures and the prioritization of management actions; and (5) better incorporating underrepresented local communities and high-level decision makers from municipalities, government agencies, and nongovernmental organizations located within the Cuyahoga River AOC.

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    Post-displacement status of climate migrants in Rajshahi City, Bangladesh
    Syed Mahbubur RAHMAN, Mahreen MAMOON, Md Shamimul ISLAM, Saif HOSSAIN, Rezwanul HAQUE, Abul Bashar Md ZUBAIR
    Regional Sustainability    2022, 3 (3): 183-187.   DOI: 10.1016/j.regsus.2022.09.002
    Abstract398)   HTML10)    PDF(pc) (331KB)(42)       Save

    Some big cities in Bangladesh have been experiencing a massive and rapid influx of rural people due to the impacts of climate change, and therefore the urban administration encounters enormous challenges. This study aims to investigate the drivers of climate-induced migration and the post-displacement status of the migrants living in the urban slum of Rajshahi City. Using a semi-structured questionnaire survey, this study conducted interviews with 50 migrants residing in two slums in Rajshahi City. An interpretive phenomenological analysis (IPA) approach was implemented to evaluate the survey data. This study finds that food insecurity and flood are the two significant climate drivers of migration. Among the non-climate drivers, lack of alternative livelihood is the major reason. It should be noticed that the climate migrants in many cases do not get the opportunity to improve their living standards; they are usually occupied with low-pay professions like maid, van and rickshaw puller, and scrap collector. The study also reveals that migrants, especially females and children, need several basic physiological, economic, social, and health services. Most children have no chance to attend school. Compared to males, females have more opportunities for some support and allowances. Overall, an inadequate level of change has taken place in the lives of migrants, which raises the concern if migration is ever a way to resolve a problem or the beginning of many other problems. Further researches may concentrate on the impact of migration on the dynamics of social capital among slum dwellers.

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    Charging infrastructure planning for electric vehicle in India: Present status and future challenges
    Sulabh SACHAN, Praveen Prakash SINGH
    Regional Sustainability    2022, 3 (4): 335-345.   DOI: 10.1016/j.regsus.2022.11.008
    Abstract384)   HTML3)    PDF(pc) (584KB)(159)       Save

    The challenge to deal with environmental contamination along with national goals such as energy security, reliability, and self-dependency due to depleting fossil fuel resources has motivated researchers to find an alternate solution in the transport sector. Due to this, electrification of the transport sector has become an achievable solution that has caught attention with increasing penetration in the market share. India is a participant in the Paris Agreement which aims to curtail the production of greenhouse gases and limit the escalating temperature. Public intervention and changes in policy and regulations are the key aspects of technological transition. Compared to internal combustion engine (ICE)-based vehicles, the consumers’ frame of mind concerns about adapting to e-mobility is anxiety over charging times and driving range. Thus, the development of charging stations plays a crucial role in promoting electric vehicles (EVs). This study investigates to identify different barriers that exist in the Indian context related to the adoption of e-mobility. Furthermore, this work emphasizes the recent developments in charging infrastructure planning in India. Also, the status of installed charging stations is examined. Developing appropriate charging stations are associated with several challenges, which are also highlighted to provide guidance to public and private entities that can be adopted in their respective business model. As India has the second largest population and is the seventh largest country in the world, the EV adoption rate of India is considerably low compared to other countries; for India, there is a long way to match the growth rate of EV adoption. Hence it becomes essential to develop a robust and suitable charging infrastructure to promote the sale and use of EVs in India.

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    Nexus between selected macroeconomic variables and carbon emission in Kenya
    James NJUMWA, Ernest SAINA, Alfred SEREM
    Regional Sustainability    2022, 3 (3): 233-243.   DOI: 10.1016/j.regsus.2022.10.003
    Abstract332)   HTML2)    PDF(pc) (419KB)(29)       Save

    Agriculture is not only influenced by climate change, but it is also one of the significant contributors of CO2 emission. Understanding CO2 emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment. This study used the Environmental Kuznets Curve (EKC) hypothesis and the autoregressive distribution lag model (ADLM) to analyze the relationships of CO2 emission with agricultural output, government direct investment, trade openness, and inflation rate in Kenya from 1983 to 2019. The study found that there exists a positive (direct) relationship between CO2 emission and foreign direct investment in the long run in Kenya. Additionally, CO2 emission and trade openness have a negative (indirect) and statistically significant relationship after the error correction term adjustment in the long run. Moreover, the relationship between CO2 emission and agricultural output is positive (direct) and statistically significant in the long run. There is a positive (direct) and statistically insignificant relationship between CO2 emission and inflation rate in the short run. Notably, the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO2 emission and agricultural output. Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.

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    Regional characteristics and spatiotemporal differentiation of the prevalence of hand, foot, and mouth disease in Xinjiang, China
    MA Chen, WANG Hongwei, XIE Ling, YI Suyan, TAN Bo
    Regional Sustainability    2022, 3 (3): 208-222.   DOI: 10.1016/j.regsus.2022.09.001
    Abstract308)   HTML5)    PDF(pc) (2993KB)(10)       Save

    In recent years, the number of hand, foot, and mouth disease (HFMD) cases in China has continued to grow, and the disease has become a serious public health issue. Xinjiang Uygur Autonomous Region is located in the arid areas of Northwest China, where the epidemiological trend of HFMD is gradually increasing and characterized by geographical heterogeneity. In this study, based on the HFMD case data in all counties and cities in Xinjiang, we employed statistical and GIS spatial analyses, and geographic probe models to characterize the spatiotemporal differentiation of HFMD epidemics in Xinjiang during the period of 2009-2018, and quantitatively analyzed the factors influencing the spatial differentiation of HFMD epidemics. The results showed that HFMD incidence rate in Xinjiang had non-stationary temporal characteristics on the interannual and monthly scales, and the monthly variation characteristics of HFMD epidemic were quite different in southern and northern Xinjiang. The spatial distribution characteristics of HFMD epidemics showed a north-south spatial differentiation pattern with the Tianshan Mountains as the boundary; cold spot and hot spot of HFMD epidemics in Xinjiang have shifted from scattered to concentrated, and the spatial differentiation pattern had gradually stabilized. Moreover, the dominant factors influencing the spatial differentiation of HFMD epidemics in Xinjiang were socioeconomic factors, such as per capita GDP and urbanization rate, while the basic factors affecting its spatial differentiation were natural environmental factors. The spatial differentiation and evolution patterns of HFMD epidemics differed between northern and southern Xinjiang. Specifically, the leading role of socioeconomic factors is more obvious in southern Xinjiang than in northern Xinjiang, while natural environmental factors (e.g., dryness and relative humidity) contribute to the prevalence of HFMD epidemics in northern Xinjiang, and the perturbing effect of these factors was more prominent than other factors. The results of this study can provide a scientific basis for the prevention of HFMD epidemics and early warning of HFMD epidemics in Xinjiang.

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    Spatial variability and driving factors of soil multifunctionality in drylands of China
    ZHANG Shihang, CHEN Yusen, LU Yongxing, GUO Hao, GUO Xing, LIU Chaohong, ZHOU Xiaobing, ZHANG Yuanming
    Regional Sustainability    2022, 3 (3): 223-232.   DOI: 10.1016/j.regsus.2022.10.001
    Abstract301)   HTML2)    PDF(pc) (1310KB)(131)       Save

    Drylands are highly vulnerable to climate change and human activities. The drylands of China account for approximately 10.8% of global drylands, and China is the country most severely affected by aridity in Asia. Therefore, studying the spatial variation characteristics in soil multifunctionality (SMF) and investigating the driving factors are critical for elucidating and managing the functions of dryland ecosystems in China. Based on the environmental factors (mean annual precipitation (MAP), mean annual temperature (MAT), solar radiation (Srad), soil acidity (pH), enhanced vegetation index (EVI), and cation exchange capacity (CEC)) and aridity from the Dataset of soil properties for land surface modeling over China, we used non-linear regression, ordinary least square (OLS) regression, structural equation model (SEM), and other analytical methods to investigate the relationships of SMF with environmental factors across different aridity levels in China. SMF in different dryland regions varied significantly and showed a patchy distribution, with SMF index values ranging from -1.21 to 2.42. Regions with SMF index values from -0.20 to 0.51 accounting for 63.0% of dryland area in China. OLS regression results revealed that environmental factors like MAP, MAT, Srad, pH, EVI, and CEC were significantly related to SMF (P<0.05). MAP and MAT were correlated to SMF at the whole aridity level (P<0.05). SEM results showed that the driving factors of SMF differed depending on the aridity level. Soil pH was the strongest driving factor of SMF when the aridity was less than 0.80 (P<0.001). Both soil CEC and EVI had a positive effect on SMF when aridity was greater than 0.80 (P<0.01), with soil CEC being the strongest driving factor. The importance ranking revealed that the relative importance contribution of soil pH to SMF was greatest when aridity was less than 0.80 (66.9%). When aridity was set to greater than 0.80, the relative importance contributions of CEC and EVI to SMF increased (45.1% and 31.9%, respectively). Our findings indicated that SMF had high spatial heterogeneity in drylands of China. The aridity threshold controlled the impact of environmental factors on SMF.

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    Exploring the dynamic evolutionary mechanism of game model on the protection of traditional villages
    LI Jiaqi, JIN Tao, XIANG Wei, HUANG Qinzhen
    Regional Sustainability    2022, 3 (3): 188-207.   DOI: 10.1016/j.regsus.2022.09.003
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    With the rapid improvement of urbanization and industrialization in countries around the world, how to effectively solve the rapid demise of traditional villages is a social dilemma faced by all countries, which is why a series of relevant protection regulations have been promulgated in different historical periods. However, the formulation of relevant policies is still not scientific, universal, and long-term. In this study, we constructed an evolutionary game model of local governments and residents based on the evolutionary game theory (EGT), which is used to explore the evolutionary stability strategy (ESS) and stability conditions of stakeholders under the premise of mutual influence and restriction. Besides, the study also includes the analysis about the impacts of different influence factors on the evolution tendency of the game model. At the same time, numerical simulation examples were used to verify the theoretical results and three crucial conclusions have been drawn. Firstly, the strategic evolution of stakeholders is a dynamic process of continuous adjustment and optimization, and its results and speed show consistent interdependence. Secondly, the decision-making of stakeholders mainly depends on the basic cost, and the high cost of investment is not conducive to the protection of traditional villages. Thirdly, the dynamic evolutionary mechanism composed of different influence factors will have an impact on the direction and speed of decision-making of stakeholders, which provides the basis for them to effectively restrict the decision-making of each other. This study eliminates the weaknesses of existing research approaches and provides scientific and novel ideas for the protection of traditional villages, which can contribute to the formulation and improvement of the relevant laws and regulations.

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    Willingness of returning migrant workers to purchase houses: A case study of 45 villages in Henan Province, China
    WANG Yuchan, GAO Genghe, NING Xiaoju, LI Yuanzheng, NIU Ning, GUO Yaqi
    Regional Sustainability    2022, 3 (2): 133-145.   DOI: 10.1016/j.regsus.2022.07.001
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    The willingness of returning migrant workers to purchase houses has an important impact on local urbanization. At present, there are few researches on the willingness of returning migrant workers to purchase houses. The existing researches mostly focus on the perspective of sociology and economics, and few studies are conducted from the perspective of geography. Based on the survey data of 45 villages in Henan Province of China in 2019, this study used binary logistic method to study the influencing factors of the willingness of returning migrant workers to purchase houses. The willingness of returning migrant workers to purchase houses is affected by many factors, such as personal, family, village, and returning factors. Among them, age and returning period are negatively correlated with the willingness of returning migrant workers to purchase houses. Factors such as years of education, years of working, and per capita income of village are positively correlated with the willingness of returning migrant workers to purchase houses. Returning migrant workers in plains and hilly areas are more willing to purchase houses than those in mountainous areas. The formation of the willingness to purchase houses is mainly related to economic foundation, age, marital status, and other factors. Returning migrant workers are becoming more willing to purchase houses, and the expected locations are mainly concentrated in the county seats. In the context of China’s high density of rural population and rapid urbanization, more returning migrant workers are expected to purchase houses in cities and towns for the sake of employment, marriage, children’s education, and access to public services. As a result, there is an extensive market of potential purchasers, which affects the development of the local urban real estate industry and is of great significance for returning migrant workers to truly integrate into the cities. However, some returning migrant workers still choose to purchase houses in villages, mainly affected by traditional concepts, living habits, and the better development of villages. Therefore, it is of great practical significance to explore the willingness of returning migrant workers to purchase houses, so as to master the flow laws and future behavior of returning migrant workers to purchase houses.

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    Assessment of the impact of climate change on the occurrences of malaria, pneumonia, meningitis, and cholera in Lokoja City, Nigeria
    Isaac Ayo OLUWATIMILEHIN, Joseph Omojesu AKERELE, Tolulope Adedoyin OLADEJI, Mojisola Hannah OMOGBEHIN, Godwin ATAI
    Regional Sustainability    2022, 3 (4): 309-318.   DOI: 10.1016/j.regsus.2022.11.007
    Abstract283)   HTML7)    PDF(pc) (1036KB)(78)       Save

    This study examined the impact of climate change on the occurrence of malaria, pneumonia, meningitis, and cholera in Lokoja City, Nigeria, with the aim of investigating the spatial distribution and prevalence of the four kinds of diseases as well as the coping strategies of people in the area. We collected the rainfall and temperature data of Lokoja City during 2000-2020 from the National Aeronautics and Space Administration (NASA), and the medical records data of the four kinds of diseases from the Kogi State Ministry of Health. We also conducted a semi-structured questionnaire of 250 residents, who have experienced one of these diseases, to investigate their coping strategies with these diseases. The Pearson correlation and multiple regression analysis were used to research the relationship between the climate parameters and cases of diseases. The result showed annual variations in climatic parameters with R2 values of 0.0557, 0.0009, and 0.4915 for rainfall, maximum temperature, and minimum temperature, respectively. A positive and significant relationship were observed between maximum temperature and malaria (r=0.80), rainfall and malaria (r=0.54), minimum temperature and meningitis (r=0.64), as well as rainfall and cholera (r=0.66) at P<0.05 level. For the regression analysis R2= 0.71, 0.50, and 0.52 for malaria, cholera, and meningitis, respectively at P<0.05 level. During 2000-2020, cases of malaria were highest in Ward A with 15,422, while 715 cases of pneumonia were highest in Kupa North Ward. In Ward A, 3787 cases of cholera were recorded to be the highest, while cases of meningitis were highest in Kupa North Ward with 2383 cases. Investigation revealed that malaria is more common in the wet season, while cholera and meningitis cases were highest in the dry season. The study revealed that the most practiced coping strategy is the use of medications by about 90% of the respondents. More studies are recommended in the study area to establish a causal link between climate change and disease occurrence, and intervention from government in form of prevention and control programmes should be vigorously implemented.

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    Impact of climate change on agricultural production: A case of Rasuwa District, Nepal
    Binod DAWADI, Anjula SHRESTHA, Ram Hari ACHARYA, Yam Prasad DHITAL, Rohini DEVKOTA
    Regional Sustainability    2022, 3 (2): 122-132.   DOI: 10.1016/j.regsus.2022.07.002
    Abstract276)   HTML3)    PDF(pc) (1041KB)(40)       Save

    Climate change is expected to threaten the developing countries the most. Nepal is considered one of the five countries most vulnerable to climate change in the world. The mountainous area such as Rasuwa District in Nepal is more vulnerable due to complex topography, human activity (tourism), and climate change. In this context, we carried out this study to assess the climate change and its impact on agriculture production as well as people’s perceptions on the impact of climate change. The long-term (1980-2014) observed climate data (temperature and precipitation) and field-based survey data on people’s perceptions were analyzed. Mann-Kendall trend test and Sen’s slope estimation were used to analyze the temperature and precipitation trends. Furthermore, key informant interviews (KIIs) and focal group discussions (FGDs) were conducted to understand people’s perceptions of the impact of climate change on agricultural production. Further, ERA5 and APHRODITE datasets were used to compare the in situ climate data. The maximum temperature and total precipitation in summer monsoon (June-September) were found increasing significantly at rates of 0.07°C/a and 19.89 mm/a, respectively. But the minimum winter temperature and winter precipitation were found decrease by 0.05°C/a and 4.89 mm/a, respectively. Moreover, a large number of respondents reported a decrease in millet and wheat productions while an increase in potato production over the considered time duration (1990-2014). It is noteworthy that the respondents from the mid-elevation regions perceived an increasing trend in crop production compared to those from the low elevation regions. In recent years, people living in the high elevation regions of Rasuwa District have started to shift their cropping calendar to increase agricultural production. This study will provide useful information for policy-makers in formulating adaptation strategies in mountainous areas of Nepal.

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    Assessing and mapping soil erosion risk zone in Ratlam District, central India
    Sunil SAHA, Debabrata SARKAR, Prolay MONDAL
    Regional Sustainability    2022, 3 (4): 373-390.   DOI: 10.1016/j.regsus.2022.11.005
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    Evaluation of physical and quantitative data of soil erosion is crucial to the sustainable development of the environment. The extreme form of land degradation through different forms of erosion is one of the major problems in the sub-tropical monsoon-dominated region. In India, tackling soil erosion is one of the major geo-environmental issues for its environment. Thus, identifying soil erosion risk zones and taking preventative actions are vital for crop production management. Soil erosion is induced by climate change, topographic conditions, soil texture, agricultural systems, and land management. In this research, the soil erosion risk zones of Ratlam District was determined by employing the Geographic Information System (GIS), Revised Universal Soil Loss Equation (RUSLE), Analytic Hierarchy Process (AHP), and machine learning algorithms (Random Forest and Reduced Error Pruning (REP) tree). RUSLE measured the rainfall eosivity (R), soil erodibility (K), length of slope and steepness (LS), land cover and management (C), and support practices (P) factors. Kappa statistic was used to configure model reliability and it was found that Random Forest and AHP have higher reliability than other models. About 14.73% (715.94 km2) of the study area has very low risk to soil erosion, with an average soil erosion rate of 0.00-7.00×103 kg/(hm2·a), while about 7.46% (362.52 km2) of the study area has very high risk to soil erosion, with an average soil erosion rate of 30.00×103-48.00×103 kg/(hm2·a). Slope, elevation, stream density, Stream Power Index (SPI), rainfall, and land use and land cover (LULC) all affect soil erosion. The current study could help the government and non-government agencies to employ developmental projects and policies accordingly. However, the outcomes of the present research also could be used to prevent, monitor, and control soil erosion in the study area by employing restoration measures.

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    Any alternatives to rice? Ethnobotanical insights into the dietary use of edible plants by the Higaonon tribe in Bukidnon Province, the Philippines
    Dave Paladin BUENAVISTA, Eefke Maria MOLLEE, Morag MCDONALD
    Regional Sustainability    2022, 3 (2): 95-109.   DOI: 10.1016/j.regsus.2022.04.002
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    Though considered an agricultural country, the Philippines is the world’s largest importer of rice. The persistent problem of insufficient rice supply, however, has been exacerbated by economic crises and natural calamities. Yet, for the Higaonon tribe in Bukidnon Province, the Philippines, the rich agrobiodiversity and wild edible plants are vital for food security and resilience since the mountainous terrain in this province presents a challenge for rice cultivation. To gain insight from the indigenous edible plant knowledge of the Higaonon tribe, we conducted an ethnobotanical research to document the diversity, utilization, and biocultural refugia of both cultivated and wild edible plants. A total of 76 edible plant species belonging to 62 genera and 36 botanical families were documented. The most represented botanical families included the Fabaceae, Solanaceae, and Zingiberaceae. In terms of dietary usage, 3 species were categorized as cereals; 8 species were white roots, tubers, and plantains; 3 species were vitamin A-rich vegetables and tubers; 16 species were green leafy vegetables; 12 species were categorized as other vegetables; 2 species were vitamin A-rich fruits; 27 species were classified as other fruits; 7 species were legumes, nuts, and seeds; and 8 species were used as spices, condiments, and beverages. Using the statistical software R with ethnobotanyR package, we further calculated the ethnobotanical indices (use-report (UR), use-value (UV), number of use (NU), and fidelity level (FL)) from 1254 URs in all 9 food use-categories. The species with the highest UV and UR were from a variety of nutrient-rich edible plants such as Ipomoea batatas (L.) Lam., Musa species, Colocasia esculenta (L.) Schott, Zea mays L., and Manihot esculenta Crantz. The extensive utilization of root and tuber crops along with corn and plantain that contain a higher amount of energy and protein, carbohydrates, minerals, and vitamins were shown to be an important nutrient-rich alternatives to rice. Whilst males appeared to be more knowledgeable of edible plant species collected from the forests and communal areas, there were no significant differences between males and females in terms of knowledge of edible plants collected from homegardens, riverbanks, and farms. The various food collection sites of the Higaonon tribe may be considered as food biocultural refugia given their socio-ecological function in food security, biodiversity conservation, and preservation of indigenous knowledge.

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    Changes of water chemistry from rainfall to stream flow in Obagbile Catchment, Southwest Nigeria
    Mojisola Hannah OMOGBEHIN, Isaac Ayo OLUWATIMILEHIN
    Regional Sustainability    2022, 3 (2): 170-181.   DOI: 10.1016/j.regsus.2022.07.006
    Abstract238)   HTML3)    PDF(pc) (946KB)(27)       Save

    Water chemistry changes when it flows through different pathways. This study aims to characterize the differences of water chemistry of five kinds of water in Obagbile Catchment including rainwater, overland flow, soil water, groundwater, and stream water, determine the changes in water chemistry that occur as the water moves from one pathway to another, and identify the factors responsible for the water chemistry changes. To do these, we collected 50 water samples from 10 heavy storms whose rainfall are equal to or more than 10 mm within an hour to test the changes of water properties across various pathways in this study. The results show that the overland flow had the highest pH and electrical conductivity (EC) and the rainwater had the lowest value of the two parameters. Ca2+, Mg2+, Clˉ, and HCOOˉ were found to have their highest concentrations in stream water; meanwhile, NO3-, NH4+, and SO42- were found to have almost same low concentrations in all the water samples. K+ was only dominant in stream water; while dissolved organic carbon (DOC) was lowest in rainwater, same in overland flow, soil water, and groundwater samples, and highest in stream flow. Principal Component Analysis (PCA) showed that for all the water samples from different pathways, two factors mainly accounted for the total variances. The two factors were related to the crustal and anthropogenic sources in rainwater suggesting that the high loadings of major cations (e.g., Ca2+ and Mg2+) in rainwater samples are soil-derived. The PCA for the overland flow and soil water showed strong correlations between pH, EC, and the concentrations of Na+, Mg2+, HCOO-, and CH3COO-, while the high loadings of all the parameters and the strong correlations among each other were evident in the stream water. In conclusion, the chemical constituents found in water are also the constituents of pathways through which the water flows. The major factors responsible for the change in the physico-chemical properties of water in Obagbile Catchment are weathering and anthropogenic activities.

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    Dynamicity of Land Use/Land Cover (LULC): An analysis from peri-urban and rural neighbourhoods of Durgapur Municipal Corporation (DMC) in India
    Subrata HALDAR, Somnath MANDAL, Subhasis BHATTACHARYA, Suman PAUL
    Regional Sustainability    2023, 4 (2): 150-172.   DOI: 10.1016/j.regsus.2023.05.001
    Abstract238)   HTML1)    PDF(pc) (9791KB)(9)       Save

    The availability of better economic possibilities and well-connected transportation networks has attracted people to migrate to peri-urban and rural neighbourhoods, changing the landscape of regions outside the city and fostering the growth of physical infrastructure. Using multi-temporal satellite images, the dynamics of Land Use/Land Cover (LULC) changes, the impact of urban growth on LULC changes, and regional environmental implications were investigated in the peri-urban and rural neighbourhoods of Durgapur Municipal Corporation in India. The study used different case studies to highlight the study area’s heterogeneity, as the phenomenon of change is not consistent. Landsat TM and OLI-TIRS satellite images in 1991, 2001, 2011, and 2021 were used to analyse the changes in LULC types. We used the relative deviation (RD), annual change intensity (ACI), uniform intensity (UI) to show the dynamicity of LULC types (agriculture land; built-up land; fallow land; vegetated land; mining area; and water bodies ) during 1991-2021. This study also applied the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to measure environmental sensitivity zones and find out the causes of LULC changes. According to LULC statistics, agriculture land, built-up land, and mining area increased by 51.7, 95.46, and 24.79 km2, respectively, from 1991 to 2021. The results also suggested that built-up land and mining area had the greatest land surface temperature (LST), whereas water bodies and vegetated land showed the lowest LST. Moreover, this study looked at the relationships among LST, spectral indices (Normalized Differenced Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI)), and environmental sensitivity. The results showed that all of the spectral indices have the strongest association with LST, indicating that built-up land had a far stronger influence on the LST. The spectral indices indicated that the decreasing trends of vegetated land and water bodies were 4.26 and 0.43 km2/a, respectively, during 1991-2021. In summary, this study can help the policy-makers to predict the increasing rate of temperature and the causes for the temperature increase with the rapid expansion of built-up land, thus making effective peri-urban planning decisions.

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    Optimal decision-making considering inter-supply-chain competition and negative-spillover from environmental effort
    WANG Jiguang, HU Yushang, WU Yucai
    Regional Sustainability    2022, 3 (4): 319-334.   DOI: 10.1016/j.regsus.2022.11.003
    Abstract235)   HTML4)    PDF(pc) (600KB)(46)       Save

    Focusing on negative-spillover from environmental effort, this paper explores the issues of competition and optimal decision-making based on two competing two-stage manufacturer-dominated supply chains: centralized and decentralized. We develop the Stackelberg competition models according to four identified competition scenarios (pure centralized structure-CC, mixed structure-DC, mixed structure-CD, and pure decentralized structure-DD). By comparing the results of the four scenarios, we find that negative-spillover from environmental effort negatively impacts environmental-effort providers and reduces the optimal profit of the manufacturer who provide the environmental effort, which in turn reduces the profit of the entire supply chain. The inter-supply-chain competition also produces a negative incentive for environmental-effort providers but provides a free riding effect on the non-provider, and this effect increases as competition increases. In terms of network externality, the structural change of a supply chain from centralized to decentralized is altruistic, which generates a double-marginalization (i.e., the network externality enhances competitor performance). Furthermore, the leader supply chain with a centralized structure is more willing to provide greater environmental effort, whereas when the leader supply chain structure remains unchanged, its environmental effort depends on the negative-spillover effect and the follower supply chain structure. Therefore, excessive supply chain competition should be avoided, and the negative-spillover effect of environmental effort should be reduced to motivate environmental-effort providers to increase their environmental efforts and promote the development of sustainable green supply chains. Future research should examine retailer-dominated supply chain competition and compare the results with the conclusions of this study.

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    Livelihood vulnerability of smallholder farmers to climate change: A comparative analysis based on irrigation access in South Sulawesi, Indonesia
    ARIFAH, Darmawan SALMAN, Amir YASSI, Eymal Bahsar DEMMALLINO
    Regional Sustainability    2022, 3 (3): 244-253.   DOI: 10.1016/j.regsus.2022.10.002
    Abstract229)   HTML0)    PDF(pc) (552KB)(23)       Save

    Bulukumba Regency is one of the major rice-producing areas in South Sulawesi, Indonesia and has experienced frequent climate disasters over the past decade. Several downstream villages within the Bettu River irrigation area have been affected by the drought, culminating in reduced lowland rice production and increasing the vulnerability of farmers’ livelihoods. This study aims to evaluate the vulnerability of the livelihood system among rice farmers in the Bettu River irrigation area by classifying the area into two zones based on the distance from the main irrigation canal, namely the upstream area and downstream area. The livelihood vulnerability index (LVI) framework and livelihood vulnerability index-Intergovernmental Panel on Climate Change (LVI-IPCC) approach were applied by selecting geographic and socio-demographic indicators that affected the farmer households, including 8 major components and 26 sup-components. The data for LVI-IPCC estimation were collected by randomly selecting 132 households from villages in the two areas. The empirical results showed that farmers in the downstream area were more vulnerable to climate change than farmers in the upstream area. The major components causing the livelihood vulnerability of the downstream farmers were livelihood strategy, food, water, land, health, as well as natural disasters and climate variability. In particular, the sub-components of agricultural livelihood diversification, consistent water supply for farming, and drought events were important in the downstream area. Farmers in the upstream area were vulnerable to socio-demographic profile and social network components. The LVI-IPCC findings suggested that the government should prioritize farmers in the downstream area to develop resilience strategies, particularly by increasing irrigation infrastructure and the number of reservoirs and drilling holes. Furthermore, to increase their adaptive capacity in terms of diversification of agricultural livelihood systems, the government and donor agencies need to provide trainings on the development of home food industries for poor farmers and vulnerable households that were affected by disasters.

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    Evaluation of ecosystem supply services and calculation of economic value in Kargil District
    Sabir HUSSAIN, Sheenu SHARMA, Anand Narain SINGH
    Regional Sustainability    2022, 3 (2): 157-169.   DOI: 10.1016/j.regsus.2022.07.004
    Abstract226)   HTML2)    PDF(pc) (1351KB)(27)       Save

    Mountain ecosystem provides numerous vital ecosystem services (ESs) to the people residing within or near the mountains worldwide. The mountains provide services such as timber, fibre, fodder, fuelwood, medicine, aesthetic, recreation, ritual, and religion, and many other services that are vital for the maintenance of the ecosystem. The mountains of Barsoo and Tai-Suru regions in Kargil District (Ladakh, India) are much familiar for their ESs supply, and the residents have utilized these services for years. The present study was focused on the provisioning ESs. We used a random sample approach for household selection and data collection regarding the pre-prepared questionnaire; the number of households was obtained from government census data. The primary ESs (identified by more than 40% of the respondents) were assessed through the direct market valuation method. The direct market valuation method produced an overwhelming value, specifically for grazing and fodder services in both regions of the study area. Results showed that grazing service was valued at 482,346.43 USD/a for Barsoo region and 1,458,099.04 USD/a for Tai-Suru region. Similarly, fodder service of Barsoo and Tai-Suru regions corresponded to values of 69,833.61 and 110,886.06 USD/a, respectively. On the other hand, food service of Barsoo and Tai-Suru regions was valued at 2601.04 and 2969.90 USD/a, respectively, and medicinal service was valued at 757.39 and 4430.94 USD/a in Barsoo and Tai-Suru regions, respectively. In addition, the regions were economically backwards, and the resident’s survival and well-being relied on the mountain ESs. Therefore, it is not possible for the residents to pay services replacement costs if the services need to replace by other means. Unfortunately, such mountain ecosystem is highly prone to climate change and other human activities that would negatively impact the ecosystem functions. Therefore, this study would be helpful for the policy-makers of the region to draft any developmental plan/framework by integrating the value of ESs that would be the key to achieving sustainable development.

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    Sustainable livelihood security in Odisha, India: A district level analysis
    Braja SUNDAR PANI, Diptimayee MISHRA
    Regional Sustainability    2022, 3 (2): 110-121.   DOI: 10.1016/j.regsus.2022.07.003
    Abstract224)   HTML6)    PDF(pc) (860KB)(48)       Save

    Sustainable livelihood security (SLS) is an integrating framework that encompasses current concerns and policy requirements for ecological, social, and economic dimensions of sustainable development. It carries particular importance for developing economies. This study intends to verify the relative status of SLS of the 30 districts in Odisha, which is a backward state in eastern India. In this study, a total of 22 relevant indicators relating to the three components of SLS—ecological security, social equity, and economic efficiency have been taken, based on various kinds of government reports. The principal component analysis (PCA) has been used to ascertain the indicators and the importance of each of them to the corresponding component of SLS. The ecological security index (ESI), social equity index (SEI), economic efficiency index (EEI), and composite sustainable livelihood security index (CSLSI) of each district of Odisha were calculated through the min-max normalization technique. The results revealed that there are wide variations in SLS among the districts of Odisha. In this study, the districts are categorized into four levels based on scores of ESI, SEI, EEI, and CSLSI as very low (<0.400), low (0.400-0.549), medium (0.550-0.700), and high (>0.700). According to the classification result of CSLSI, 2 districts are found to be in the very low category, 20 districts are under the low sustainability category, 8 districts are in the medium category, and none of the districts are found to be in the high sustainability category. The district of Sambalpur ranks the highest with a CSLSI score of 0.624. The bottom five districts are Gajapati, Bolangir, Nabarangpur, Kandhamal, and Malkangiri, having the CSLSI scores of 0.438, 0.435, 0.406, 0.391, and 0.344, respectively. The result of this study suggests that region-specific, systematic, and proactive approaches are desirable for balanced development in Odisha. Further, policy intervention is required to implement more inclusive tribal welfare policies.

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    Traditional agroecological knowledge and practices: The drivers and opportunities for adaptation actions in the northern region of Ghana
    Enoch YELELIERE, Thomas YEBOAH, Philip ANTWI-AGYEI, Prince PEPRAH
    Regional Sustainability    2022, 3 (4): 294-308.   DOI: 10.1016/j.regsus.2022.11.002
    Abstract218)   HTML3)    PDF(pc) (504KB)(41)       Save

    Agroecological practices are promoted as a more proactive approach than conventional agriculture to achieving a collective global response to climate change and variability while building robust and resilient agricultural systems to meet food needs and protect the integrity of ecosystems. There is relatively limited evidence on the key traditional agroecological knowledge and practices adopted by smallholder farmers, the factors that influence smallholder farmers’ decision to adopt these practices, and the opportunities it presents for building resilient agricultural systems. Using a multi-scale mixed method approach, we conducted key informant interviews (n=12), focus group discussions (n=5), and questionnaire surveys (N=220) to explore the traditional agroecological knowledge and practices, the influencing factors, and the opportunities smallholder farmers presented for achieving resilient agricultural systems. Our findings suggest that smallholder farmers employ a suite of traditional agroecological knowledge and practices to enhance food security, combat climate change, and build resilient agricultural systems. The most important traditional agroecological knowledge and practices in the study area comprise cultivating leguminous crops, mixed crop-livestock systems, and crop rotation, with Relative Importance Index (RII) values of 0.710, 0.708, and 0.695, respectively. It is reported that the choice of these practices by smallholder farmers is influenced by their own farming experience, access to market, access to local resources, information, and expertise, and the perceived risk of climate change. Moreover, the results further show that improving household food security and nutrition, improving soil quality, control of pest and disease infestation, and support from Non-Governmental Organizations (NGOs) and local authorities are opportunities for smallholder farmers in adopting traditional agroecological knowledge and practices for achieving resilient agricultural systems. The findings call into question the need for stakeholders and policy-makers at all levels to develop capacity and increase the awareness of traditional agroecological knowledge and practices as mechanisms to ensure resilient agricultural systems for sustainable food security.

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