Regional Sustainability

Tian Junfeng

Wang Binyan

Qiu Cheng

Wang Shijun

What are the underlying causes and dynamics of land use conflicts in metropolitan junction areas? A case study of the central Chengdu– Chongqing region in China

大都市交界地区土地利用冲突的深层原因与动态机制是什么？以中国成渝地区中部为例的研究

Analyzing agricultural sustainability is essential for designing and assessing rural development initiatives. However, accurately measuring agricultural sustainability is complicated since it involves so many different factors. This study provides a new suite of quantitative indicators for assessing agricultural sustainability at regional and district levels, involving environmental sustainability, social security, and economic security. Combining the Pressure-State-Response (PSR) model and indicator approach, this study creates a composite agricultural sustainability index for the 14 mainstream agro-climatic regions of India. The results of this study show that the Trans-Gengatic Plain Region (TGPR) ranks first in agricultural sustainability among India's 14 mainstream agro-climatic regions, while the Eastern Himalayan Region (EHR) ranks last. Higher livestock ownership, cropping intensity, per capita income, irrigation intensity, share of institutional credit, food grain productivity, crop diversification, awareness of minimum support price, knowledge sharing with fellow farmers, and young and working population, as well as better transportation facilities and membership of agricultural credit societies are influencing indicators responsible for higher agricultural sustainability in TGPR compared with EHR. Although, the scores of environmental sustainability indicators of EHR are quite good, its scores of social and economic security indicators are fairly low, putting it at the bottom of the rank of agricultural sustainability index among the 14 mainstream agro-climatic regions in India. This demonstrates the need of understanding agricultural sustainability in relation to social and economic dimensions. In a nation as diverse and complicated as India, it is the social structure that determines the health of the economy and environment. Last but not least, the sustainability assessment methodology may be used in a variety of India's agro-climatic regions.

Surendra Singh Jatav

Kalu Naik

Measuring the agricultural sustainability of India: An application of Pressure-State-Response (PSR) model

测量印度的农业可持续性：压力-状态-响应（PSR）模型的应用

Multiple ecological and socioeconomic problems have occurred worldwide, raising the awareness of sustainability. This study aims to examine the impact of taxes on Sustainable Development Goals (SDGs) in the context of Organization for Economic Co-operation and Development (OECD) countries. This research used effective average tax (EAT), tax on personal income (TPI), tax on corporate profits (TCP), and tax on goods and services (TGS) as the variables of taxes, and employed secondary data from 38 OECD countries covering 2000–2021. The study also used Breusch-Pagan Lagrange Multiplier (LM), Pesaran Scaled LM, Bias-Corrected Scaled LM, and Pesaran Cross-sectional dependence (CSD) tests to analyze the existence of cross-sectional dependency. Then, we established the stationarity of variables through second-generation panel unit root tests (Cross-sectional Augmented Dickey-Fuller (CADF) and Cross-sectional Im, Pesaran, and Shin (CIPS)), and confirmed the long-run cointegration of the variables by using second-generation panel cointegration test (Westerlund cointegration test). The results showed that EAT, TPI, TCP, and TGS are positively associated with SDGs. However, the change in TPI has a smaller effect on SDGs than the change in EAT or TCP or TGS. The result of panel causality indicated that EAT, TPI, and TGS have a unidirectional causal relationship with SDGs. The study also found that TCP has a bi-directional causal relationship with SDGs. Moreover, the finding indicated that the OECD countries need to focus on tax policies to achieve the 2030 Agenda for Sustainable Development. This study is based on the theory of optimal taxation (TOT), which suggests that tax systems should be designed to maximize social welfare. Finally, we suggests the importance of taking a comprehensive approach for the managers and policy-makers when analyzing the impact of taxes on SDGs.

Md. Mominur Rahman

Impact of taxes on the 2030 agenda for sustainable development: Evidence from Organization for Economic Co-operation and Development (OECD) countries

税收对2030年可持续发展议程的影响：来自经济合作与发展组织（OECD）国家的证据

Landslide is a geological hazard typically associated with extreme events such as earthquakes, heavy rainfall, volcanic eruptions, changes in groundwater level, etc. This study was carried out in Okemesi-Ekiti (also known as Okemesi), Southwest Nigeria, with the purpose of using remote sensing and GIS technologies to analyze the environmental factors (grain size, direct shear strength resistance, rainfall data, wet density, surface, and slope) resulting in the occurrence of the Okemesi landslide. The study also aimed to conduct a vulnerability analysis in the study area to identify regions with a probability of landslide occurrence. The grain size analysis of the soil in the Okemesi landslide area showed that slope materials comprised 17.14% gravel, 59.31% sand, and 19.48% fines, thus the soil type could be classified as poorly graded gravely sand with a high possibility of landslide occurrence. The geomorphic characteristics of the study area was characterized by slopes ranging from 0.00° to 49.00°, while most slopes in the area were less than 8.00°. The slope aspect direction was mainly in south (157.51°–202.50°), southwest (202.51°–247.50°), west (247.51°–292.50°), and north (0.00°–22.50° and 337.51°–360.00°). The highlands were primarily bounded by the slope directions of north (0.00°–22.50° and 337.51°–360.00°), northeast (22.51°–67.50°), east (67.51°–112.51°), and southeast (112.51°–157.50°), which indicated the potential direction of mass movement. The study area can be divided into three vulnerability zones: high, medium, and low, with the area percentages of 9.00%, 61.80%, and 29.20%, respectively. The analysis suggested that the Okemesi landslide was likely triggered by rainfall, which might have weakened the physical structure of slope materials. Understanding the causes and impacts of landslides is crucial for policy-makers to implement measures to mitigate landslide hazards, protect infrastructure, and prevent the loss of life in the landslide-prone regions.

Oluwakemi Bolanle Akintan

Johnson Adedeji Olusola

Olaniyi Patrick Imole

Moyosoluwa Odunayo Adeyemi

Geotechnical and GIS-based environmental factors and vulnerability studies of the Okemesi landslide, Nigeria

尼日利亚奥克梅西滑坡的地质技术与GIS环境因素及脆弱性研究

Individuals, local communities, environmental associations, private organizations, and public representatives and bodies may all be aggrieved by environmental problems concerning poor air quality, illegal waste disposal, water contamination, and general pollution. Environmental complaints represent the expressions of dissatisfaction with these issues. As the time-consuming of managing a large number of complaints, text mining may be useful for automatically extracting information on stakeholder priorities and concerns. The paper used text mining and semantic network analysis to crawl relevant keywords about environmental complaints from two online complaint submission systems: online claim submission system of Regional Agency for Prevention, Environment and Energy (Arpae) (“Contact Arpae”); and Arpae's internal platform for environmental pollution (“Environmental incident reporting portal”) in the Emilia-Romagna Region, Italy. We evaluated the total of 2477 records and classified this information based on the claim topic (air pollution, water pollution, noise pollution, waste, odor, soil, weather-climate, sea-coast, and electromagnetic radiation) and geographical distribution. Then, this paper used natural language processing to extract keywords from the dataset, and classified keywords ranking higher in Term Frequency-Inverse Document Frequency (TF-IDF) based on the driver, pressure, state, impact, and response (DPSIR) framework. This study provided a systemic approach to understanding the interaction between people and environment in different geographical contexts and builds sustainable and healthy communities. The results showed that most complaints are from the public and associated with air pollution and odor. Factories (particularly foundries and ceramic industries) and farms are identified as the drivers of environmental issues. Citizen believed that environmental issues mainly affect human well-being. Moreover, the keywords of “odor”, “report”, “request”, “presence”, “municipality”, and “hours” were the most influential and meaningful concepts, as demonstrated by their high degree and betweenness centrality values. Keywords connecting odor (classified as impacts) and air pollution (classified as state) were the most important (such as “odor-burnt plastic” and “odor-acrid”). Complainants perceived odor annoyance as a primary environmental concern, possibly related to two main drivers: “odor-factory” and “odors-farms”. The proposed approach has several theoretical and practical implications: text mining may quickly and efficiently address citizen needs, providing the basis toward automating (even partially) the complaint process; and the DPSIR framework might support the planning and organization of information and the identification of stakeholder concerns and priorities, as well as metrics and indicators for their assessment. Therefore, integration of the DPSIR framework with the text mining of environmental complaints might generate a comprehensive environmental knowledge base as a prerequisite for a wider exploitation of analysis to support decision-making processes and environmental management activities.

Fabiana Manservisi

Michele Banzi

Tomaso Tonelli

Paolo Veronesi

Susanna Ricci

Damiano Distante

Stefano Faralli

Giuseppe Bortone

Environmental complaint insights through text mining based on the driver, pressure, state, impact, and response (DPSIR) framework: Evidence from an Italian environmental agency

基于驱动力、压力、状态、影响和响应（DPSIR）框架的文本挖掘环境投诉洞察：来自意大利环境机构的证据

Guzel Salimova

Gulnara Nigmatullina

Gamir Habirov

Alisa Ableeva

Rasul Gusmanov

Employment and development levels in rural areas of the Russian Federation

俄罗斯联邦农村地区的就业与发展水平

Frank Baffour-Ata

Louisa Boakye

Moses Tilatob Gado

Ellen Boakye-Yiadom

Sylvia Cecilia Mensah

Senyo Michael Kwaku Kumfo

Kofi Prempeh Osei Owusu

Emmanuel Carr

Emmanuel Dzikunu

Patrick Davies

Climatic and non-climatic factors driving the livelihood vulnerability of smallholder farmers in Ahafo Ano North District, Ghana

气候和非气候因素驱动加纳阿哈福阿诺北部地区小农生计脆弱性

Qunxi Gong

Green transformation paths of resource-based cities in China from the configuration perspective

中国资源型城市的绿色转型路径：基于构型视角

Issa Nyashilu

Robert Kiunsi

Alphonce Kyessi

Climate change vulnerability assessment in the new urban planning process in Tanzania

坦桑尼亚新城市规划过程中的气候变化脆弱性评估

短名	Reg. Sustainability
Journal Impact	4.37
国际分区	ENVIRONMENTAL STUDIES(Q1)

ISSN	2097-0129, 2666-660X
h-index	14

出版信息	出版商: KeAi Communications Co.，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 2020，原创研究文献占比: ，自引率:， Gold OA占比:

Regional Sustainability

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What are the underlying causes and dynamics of land use conflicts in metropolitan junction areas? A case study of the central Chengdu– Chongqing region in China

Measuring the agricultural sustainability of India: An application of Pressure-State-Response (PSR) model

Impact of taxes on the 2030 agenda for sustainable development: Evidence from Organization for Economic Co-operation and Development (OECD) countries

Geotechnical and GIS-based environmental factors and vulnerability studies of the Okemesi landslide, Nigeria

Environmental complaint insights through text mining based on the driver, pressure, state, impact, and response (DPSIR) framework: Evidence from an Italian environmental agency

Employment and development levels in rural areas of the Russian Federation

What are the underlying causes and dynamics of land use conflicts in metropolitan junction areas? A case study of the central Chengdu– Chongqing region in China

Climatic and non-climatic factors driving the livelihood vulnerability of smallholder farmers in Ahafo Ano North District, Ghana

Green transformation paths of resource-based cities in China from the configuration perspective

Climate change vulnerability assessment in the new urban planning process in Tanzania