scholarly journals Bases for Building a Sustainability Indicator System for Transport

Author(s):  
Alfredo Tolón-Becerra ◽  
Isabel Otero-Pastor ◽  
Pedro Pérez ◽  
Alejandra Ezquerra-Canalejo ◽  
Xavier Lastra-Bravo
Author(s):  
Rani Tania Pratiwi

Masalah pada penelitian ini adalah bahwa mahasiswa kurang memahami konsep berorganisasi itu sendiri. Konsep organisasi yang harus mereka pahami adalah konsep organisasi pembelajaran. Sehingga, dalam menjalankan roda organisasi mereka seperti ”bingung”. Metode penelitian yang digunakan adalah penelitian survey dengan jenis penelitian deskriptif. Populasi dalam penelitian ini adalah seluruh mahasiswa Universitas Kuningan. Teknik sampling yang digunakan dalam penelitian ini adalah Purposive Sampling. Teknik pengumpulan data menggunakan kuesioner,Hasil penelitian, maka dapat diketahui mengenai gambaran learning organization pada mahasiswa di Universitas Kuningan. Skor rata-rata diperoleh sebesar 4.1624, hal ini menunjukkan gambaran learning organization pada mahasiswa di Universitas Kuningan sudah baik. Berdasarkan hasil pengolahan angket dapat diketahui bahwa nilai rata-rata terendah terdapat pada indicator system thinking dengan nilai sebesar 4.0423 dan nilai rata-rata tertinggi terdapat pada indicator mental models dengan nilai sebesar 4.4036.Berdasarkan hasil penelitian melalui penyebaran kuesioner, dapat kita ketahui bersama bahwa rata-rata nilai angket terendah diperoleh pada indicator personal mastery pada item No. 09. Maka, dalam hal ini perlu sekali meningkatkan kesadaran anggota organisasi dalam mengutamakan kepentingan organisasi dibandingkan kepentingan pribadi. Selain itu, untuk pengembangan penelitian selanjutnya dapat ditekankan pada upaya peningkatan kemampuan system thinking. Selain itu, dapat juga dilihat pengaruhnya terhadap kompetensi, komitmen, kinerja, maupun variabel lainnya yang terkait.


Author(s):  
Rahmat Mirza Zulfikar ◽  
◽  
Islami Galang Ilman ◽  
Andreas Prasetya Adi
Keyword(s):  

2021 ◽  
Vol 13 (11) ◽  
pp. 6278
Author(s):  
Lars Carlsen ◽  
Rainer Bruggemann

The inequality within the 27 European member states has been studied. Six indicators proclaimed by Eurostat to be the main indicators charactere the countries: (i) the relative median at-risk-of-poverty gap, (ii) the income distribution, (iii) the income share of the bottom 40% of the population, (iv) the purchasing power adjusted GDP per capita, (v) the adjusted gross disposable income of households per capita and (vi) the asylum applications by state of procedure. The resulting multi-indicator system was analyzed applying partial ordering methodology, i.e., including all indicators simultaneously without any pretreatment. The degree of inequality was studied for the years 2010, 2015 and 2019. The EU member states were partially ordered and ranked. For all three years Luxembourg, The Netherlands, Austria, and Finland are found to be highly ranked, i.e., having rather low inequality. Bulgaria and Romania are, on the other hand, for all three years ranked low, with the highest degree of inequality. Excluding the asylum indicator, the risk-poverty-gap and the adjusted gross disposable income were found as the most important indicators. If, however, the asylum application is included, this indicator turns out as the most important for the mutual ranking of the countries. A set of additional indicators was studied disclosing the educational aspect as of major importance to achieve equality. Special partial ordering tools were applied to study the role of the single indicators, e.g., in relation to elucidate the incomparability of some countries to all other countries within the union.


2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.


Wetlands ◽  
2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Xiao-Shan Fang ◽  
Shuang Liu ◽  
Wei-Zhi Chen ◽  
Ren-Zhi Wu

AbstractThe Guangdong Xinhui National Wetland Park (GXNWP) in the Pearl River Delta is an important stopover for migratory birds in China and East Asia. Due to high levels of interference, high sensitivity and fragile environmental constraints, an efficient method to assess the health status of wetland parks such as the GXNWP is urgently needed for sustainable development. In this study, we proposed a habitat-landscape-service (HLS) conceptual model that can be used at the site scale to evaluate health status in terms of habitats, landscapes and services by considering the complex ecosystem of wetland parks. This HLS model included 28 evaluation indicators, and the indicator weights and health-grade divisions were based on expert scores using both the analytic hierarchy process (AHP) and fuzzy comprehension evaluation (FCE) methods. The results showed that the health status of the GXNWP was at the “subhealthy” level, with a membership function of 0.4643. This study found that habitat indicators (0.5715) were the key factors affecting the GXNWP health status, followed by service indicators (0.2856) and landscape indicators (0.1429). The HLS-AHP-FCE method provides a holistic health evaluation indicator system and diagnostic approach for rapidly developing wetland parks in the Pearl River Delta, China.


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