The objectives achieved in the Paris Agreement to reduce greenhouse gas emissions and reduce dependence on fossil fuels have caused, in recent years, a growing importance on sustainability in companies in order to reduce Environmental, social and economic impacts. This study is focused on understanding how the variation in West Texas Intermediate crude oil prices affects the Dow Jones Sustainability Index, and therefore the companies included in it, and vice versa. The research aims to examine the statistical properties of both indices, using fractional integration methods, the fractional cointegration vector autoregressive (FCVAR) approach and the continuous wavelet transform (CWT) technique. The results warn of a change in trend, with the application of extraordinary measures being necessary to return to the original trend, while the analysis of cointegration and wavelet analysis measures reflect that an increase in those adopted based on sustainability by the different companies that make up the index imply a drop in the price of crude oil.

The landlocked and fragile countries’ ability to create a sustainable path to economic growth and poverty reduction is inextricably linked to their export diversification potential, itself related to their connectivity within themselves, in the region, and other external markets. Mali, Chad, and Niger are first challenged by their geography—their landlocked nature with their vast and thinly populated space serves to isolate the most vulnerable communities from external and internal markets. Adding to these geographic disadvantages non-landlocked is incentive environment—defined by high and variable customs common external tariff regimes resulting from multiple overlapping regional trade arrangements—places a wedge between domestic and international prices, provides a disincentive to exports in favor of non-tradable and domestic-oriented sectors. By bringing greater coherence and convergence between the many common external tariff regimes in operation and the rationalization of their structures, and improving connectivity within and between markets, Mali, Chad, Niger, and Guinea can better promote the reallocation of resources toward tradable goods and services, putting the countries on a path toward greater economic inclusion and sustainable growth.

Dong brocade, a fabric renowned for its intricate patterns and ethnic symbolism, has been woven by the Dong people for generations, showcasing their cultural significance. Traditional plant dyeing technology is one of the main aspects of Dong brocade but the documentation and understanding of this is still rather limited. With regard to the use of plant dye in Dong brocade, it is not as well explored as it should be since it has a traditional aspect. The main purpose is to investigate and apply the traditional plant dyeing technique to Dong brocade for the improvement of that sustainable concept and the preservation of cultural assets. Therefore, 121 Dong villagers were interviewed to elicit their awareness regarding prehistoric plant dyeing. By observing the dyeing conditions, this study provided accurate perception and learned how to differentiate between natural and synthetic mordants through ethnobotanical perception. The strategy is intended to integrate sustainable products into Dong brocade, employing orthogonal array development to find the right dyeing conditions for corresponding plant dyes. Research revealed that 8 genera of plants which include 7 species are used in dyeing Dong brocade. The findings presented in this work prove the effectiveness of the use of plant dyes in Dong brocade, showing its advantages with 30% of frequency and CI (Color Index) indices, 8% of them being cultural. 5 for ethnic cultural sustainment, developmental and bio-diversity reasons respectively. The unique integration between the traditional dyeing technique in Dong brocade and the utilization of sustainable resources is very promising for the improvement of identity enhancement and embodiment, and the preservation of the environment.

This research aims to explain the management of the Cekungan Bandung Urban Area with a focus on three policy formulations, namely process, content and context in the social, environmental and economic dimensions. The research method used is a qualitative approach. Data collection techniques include observation and interviews with stakeholders, using purposive sampling techniques, including the Head of West Java Province Regional Development Planning Agency, district/city Bappeda heads, planners (Badan Perencanaan Dan Pembangunan Daerah, Bappeda), Regional People`s Representative Assembly (Dewan Perwakilan Rakyat Daerah, DPRD members), Legal Bureau and Collaboration Bureau Heads in West Java Province, and Academic Manuscript Compiler. Due to the absence of comfortable, safe, and punctual public transportation, people continue to use private vehicles, leading to unresolved traffic congestion and environmental pollution, thus resulting in economic losses. The results show the formulation of policies for managing the urban area of the Cekungan Bandung, specifically the establishment of BP Cek ban, faced challenges due to a lack of authority in managing financial and human resources. The agency couldn’t execute programs or activities and implement the development due to limitations in legal authority over state finances. Alternative policies were not effectively synchronized between government levels and lacked legislative support, hindered by regional autonomy. The contribution of the research is as reference material for the government in formulating management policies for the Cekubgan Bandung urban area.

The proportion of national logistics costs to Gross Domestic Product (NLC/GDP) serve as a valuable indicator for estimating a country’s overall macro-level logistics costs. In some developing nations, policies aimed at reducing the NLC/GDP ratio have been elevated to the national agenda. Nevertheless, there is a paucity of research examining the variables that can determine this ratio. The purpose of this paper is to offer a scientific approach for investigating the primary determinants of the NLC/GDP and to advice policy for the reduction of macro-level logistics costs. This paper presents a systematic framework for identifying the essential criteria for lowering the NLC/GDP score and employs co-integration analysis and error correction models to evaluate the impact of industrial structure, logistics commodity value, and logistics supply scale on NLC/GDP using time series data from 1991 to 2022 in China. The findings suggest that the industrial structure is the primary factor influencing logistics demand and a significant determinant of the value of NLC/GDP. Whether assessing long-term or short-term effects, the industrial structure has a substantial impact on NLC/GDP compared to logistics supply scale and logistics commodity value. The research offers two policy implications: firstly, the goals of reducing NLC/GDP and boosting the logistics industry’s GDP are inherently incompatible; it is not feasible to simultaneously enhance the logistics industry’s GDP and decrease the macro logistics cost. Secondly, if China aims to lower its macro-level logistics costs, it must make corresponding adjustments to its industrial structure.