The relationship between environment and logistics performance: Evidence from Asian countries

Liu, Jie; Yuan, Chunhui; Hafeez, Muhammad; Yuan, Qiuyan

doi:10.1016/j.jclepro.2018.08.310

Cited by 161 publications

(110 citation statements)

References 62 publications

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“…The purpose of this paper is to find out the relationship between industrialisation and CO 2 . Therefore, a basic framework of industrialisation and CO 2 is based on the model of Liu et al (2018) and Anwar et al (2019).…”

Section: Methodology and Datamentioning

confidence: 99%

Environmental pollution in Asian economies: Does the industrialisation matter?

et al. 2020

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Industrialisation is a significant part of any country's economic development. This study discusses the relationship between industrialisation and carbon dioxide emissions for Asian economies. The industrialisation has a major impact on carbon emissions, but its relationship with the environment differs in various regions of Asia. The empirical results are obtained by models of panel regression, which divide a balanced panel dataset of 46 countries into five groups depending on their subregions over the period 1991-2017. The tests of panel cointegration estimation found a majority of the cointegrated variables and verified the long-run relationship between the variables. The long-run coefficients are estimated using a fully modified ordinary least-squares (FMOLS) method, and results conclude that industrialisation has a positive impact on the carbon dioxide emissions in the long run. These findings reveal that various industrialisation development strategies should be pursued in a bid to reduce emissions, depending on the levels of economic growth. Based on the findings, some policy suggestions are proposed for Asian economies.

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Section: Methodology and Datamentioning

confidence: 99%

Environmental pollution in Asian economies: Does the industrialisation matter?

et al. 2020

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“…It is not an independent evaluation index, nor can it be internationally ranked. Liu and Yuan et al [26] analyzed the nexus between logistics performance and environmental degradation using data obtained from 42 Asian countries between 2007 and 2016. The findings paralleled the studies of Zaman (2017) [24] that international shipments in logistics performance index (LPI) significantly decreased CO 2 emissions, while the timeliness of logistics significantly intensified the CO 2 emissions in Asian countries.…”

Section: Green Logistics and Logistics Performancementioning

confidence: 99%

Green Transportation and Logistics Performance: An Improved Composite Index

Xie

Chen

et al. 2019

Sustainability

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This article constructs an environmental logistics performance index (ELPI) for assessing the overall performance in green transportation and logistics practices of 112 countries. The index is measured by logistics performance index (LPI), CO2 emissions and oil consumption from the transport sector, using a range-adjusted measure (RAM) of the data envelopment analysis (DEA). ELPI effectively reflects the tradeoff between logistics efficiency and environmental protection in transportation. This article analyzes the impact of income and region on ELPI scores and discusses those countries’ reduction potential in oil consumption intensity and carbon intensity. The main finding of the research work is that ELPI is strongly correlated with LPI, and countries with high performance in LPI generally perform well in ELPI. Similar to the characteristics of LPI, ELPI is also closely related to income and region. During our study period, high income countries performed best, while Sub-Saharan Africa countries performed worst. However, some exceptions such as Venezuela, RB and Benin, indicate that the level of development of logistics performance and green transportation can outperform or lag behind their income or region group peers.

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“…Rantai pasok berkaitan dengan proses pengadaan bahan baku, pergerakan dan penyimpanan barang serta di dalamnya termasuk arus informasi yang terkait melalui saluran distribusi dan promosi pada pemasaran untuk memaksimalkan keuntungan [24]. Pada dasarnya pembahasan promosi dan saluran distribusi adalah mengenai pemilihan lokasi yang strategis dan menjadi salah satu faktor yang mempengaruhi kesuksesan pemasaran.…”

Section: Hubungan Promosi Dan Saluran Distribusi Dengan Kinerja Pemasunclassified

Identifikasi Variabel yang Berpengaruh terhadap Kinerja Pemasaran dan Indikator Kinerja Pemasaran untuk Industri Hotel

Qurtubi

Trisnaningtias

Yudhanata

2019

j. sist. manaj. ind.

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This article discusses marketing performance by identifying marketing mix variables that influence marketing performance and its indicators in the hotel industry. The purpose of this writing was to find the correlation between marketing mix with marketing performance and signs in the hotel industry. This article was expected to extend the insights and provide valuable suggestions for future researches. The method applied in this article was a literature study. The literature study was used systematically towards 24 research articles in the field of marketing performance that written from 2000 to 2018. Based on the results and discussion, it could conclude that marketing mix variables influence marketing performance that covers product, price promotion, and distribution channel. This research also identifies three selected indicators for marketing performance in the hotel industry. Those indicators include customer mindset, expression of customer preference, and customer behavior. The potential future research, among others, is a research that will employ marketing performance indicators that suitable to other service industries.

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The relationship between environment and logistics performance: Evidence from Asian countries

Cited by 161 publications

References 62 publications

Environmental pollution in Asian economies: Does the industrialisation matter?

Environmental pollution in Asian economies: Does the industrialisation matter?

Green Transportation and Logistics Performance: An Improved Composite Index

Identifikasi Variabel yang Berpengaruh terhadap Kinerja Pemasaran dan Indikator Kinerja Pemasaran untuk Industri Hotel

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