Abstract
The aim of this study is to examine the association between national economic and environmental indicators with green logistics performance in a time series data of UK since 1981 to 2016. The research used autoregressive distributed lag method to understand the long-run and short-run relationships of national scale economic (foreign direct investment (FDI) inflows, per capita income) and environmental indicators (total greenhouse gases, fossil fuel, and renewable energy) on green logistics. In the short run, the research findings indicate that the green logistics and renewable energy have positive relationship, while fossil fuel is negatively correlated with green logistics operations. On the other hand, in the long run, the results show that FDI inflows, renewable energy sources, and per capita income have statistically significant and positive association with green logistics activities, while foreign investments attracted by environmental friendly policies and practices adopted in global logistics operations, which not only increase the environmental sustainability but also enhance economic activities with greater export opportunities in the region.
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References
Ala-harja H, Helo P (2014) Green supply chain decisions—case-based performance analysis from the food industry. Transp Res E 69:97–107. https://doi.org/10.1016/j.tre.2014.05.015
Anable J, Brand C, Tran M, Eyre N (2012) Modelling transport energy demand: a socio-technical approach. Energ Policy 41:125e138
Attari MIJ, Hussain M, Javid AY (2016) Carbon emissions and industrial growth: an ARDL analysis for Pakistan. Int J Energy Sect Manag 10(4):1–28 https://doi.org/10.1108/IJESM-04-2014-0002
Ayvaz B, Bolat B, Aydin N (2015) Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resour Conserv Recycl 104:391–404. https://doi.org/10.1016/j.resconrec.2015.07.006
Azad AK, Rasul MG, Khan MMK, Sharma SC, Hazrat MA (2015) Prospect of biofuels as an alternative transport fuel in Australia. Renew Sust Energ Rev 43:331–351. https://doi.org/10.1016/j.rser.2014.11.047
Bhattacharya M, Paramati SR, Ozturk I, Bhattacharya S (2016) The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Appl Energy 162:733–741. https://doi.org/10.1016/j.apenergy.2015.10.104
Bölük G, Mert M (2015) The renewable energy, growth and environmental Kuznets curve in Turkey: an ARDL approach. Renew Sust Energ Rev 52:587–595. https://doi.org/10.1016/j.rser.2015.07.138
Carter CR, Rogers DS (2008) A framework of sustainable supply chain management: moving toward new theory. Int J Phys Distrib Logist Manag 38(5):360–387
Cucchiella F, D’Adamo I, Lenny Koh SC (2015) Environmental and economic analysis of building integrated photovoltaic systems in Italian regions. J Clean Prod 98:241–252. https://doi.org/10.1016/j.jclepro.2013.10.043
Dekker R, Bloemhof J, Mallidis I (2012) Operations research for green logistics—an overview of aspects, issues, contributions and challenges. Eur J Oper Res 219(3):671–679. https://doi.org/10.1016/j.ejor.2011.11.010
Diabat A, Govindan K (2011) An analysis of the drivers affecting the implementation of green supply chain management. Resour Conserv Recycl 55:659–667
Egli H (2004) “The environmental Kuznets curve—evidence from time series data for Germany”, economic working paper series EWPS 03/28. Institute of Economic Research, Zurich
Elghali L, Clift R, Sinclair P, Panoutsou C, Bauen A (2007) Developing a sustainability framework for the assessment of bioenergy systems. Energ Policy 35(12):6075–6083
Facanha C, Horvath A (2005) Environmental assessment of logistics outsourcing. J Manag Eng 21(1):27–37
Giovanni PD, Esposito V (2012) Int. J. Production economics covariance versus component-based estimations of performance in green supply chain management. Intern. J Prod Econ 135(2):907–916 https://doi.org/10.1016/j.ijpe.2011.11.001
Gold S, Seuring S (2011) Supply chain and logistics issues of bio-energy production. J Clean Prod 19(1):32–42 https://doi.org/10.1016/j.jclepro.2010.08.009
Grover S, Rajeshwari (2009) Global warming and its impact on skin disorders. Indian J Dermatol Venereol Leprol 75(4):337–339 https://doi.org/10.4103/0378-6323.53127
Hamelinck CN, Suurs RA, Faaij AP (2005) International bioenergy transport costs and energy balance. Biomass Bioenergy 29(2):114–134
Hartmann J, Germain R (2015) Understanding the relationships of integration capabilities, ecological product design, and manufacturing performance. J Clean Prod. https://doi.org/10.1016/j.jclepro.2014.12.079
Hausman,W. H., Lee, H. L.,& Subramanian, U. (2005) Global logistics indicators, supply chain metrics, and bilateral trade patterns.World Bank Policy ResWork Pap (3773)
Hayami H, Nakamura M, Nakamura AO (2015) Economic performance and supply chains: the impact of upstream firms’ waste output on downstream firms’ performance in Japan. Int J Prod Econ 160:47–65 https://doi.org/10.1016/j.ijpe.2014.09.012
Hesse, M. (2004). The transport geography of logistics and freight distribution, Journal of Transport Geography 12 (2004) 171–184. https://doi.org/10.1016/j.jtrangeo.2003.12.004
Iakovou E, Karagiannidis A, Vlachos D, Toka A, Malamakis A (2010a) Waste biomass-to-energy supply chain management: a critical synthesis. Waste Manag 30(10):1860–1870 https://doi.org/10.1016/j.wasman.2010.02.030
Iakovou E, Karagiannidis A, Vlachos D, Toka A, Malamakis A (2010b) Waste biomass-to-energy supply chain management: a critical synthesis. Waste Manag 30(10):1860–1870
Imran M, Rasli A, Zaman K (2015) Energy crisis, greenhouse gas emissions and sectoral growth reforms: repairing the fabricated mosaic. J Clean Prod 197525000. https://doi.org/10.1016/j.jclepro.2015.08.017
Jingura RM (2011) Technical options for optimization of production of Jatropha as a biofuel feedstock in arid and semi-arid areas of Zimbabwe. Biomass Bioenergy 35(5):2127–2132 https://doi.org/10.1016/j.biombioe.2011.02.015
Khan SAR, Dong QL, Yu Z (2016) Research on the measuring performance of green supply chain management: in the perspective of China. Int J Eng Res Afr 27:167–178 https://doi.org/10.4028/www.scientific.net/JERA.27.167
Khan SAR, Qianli D, SongBo W, Zaman K, Zhang Y (2017) Environmental logistics performance indicators affecting per capita income and sectoral growth: evidence from a panel of selected global ranked logistics countries. Environ Sci Pollut Res 24(2):1518–1531 https://doi.org/10.1007/s11356-016-7916-2
Khan, S. A. R., & Qianli, D. (2017). Impact of green supply chain management practices on firms’ performance: an empirical study from the perspective of Pakistan. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-017-9172-5
Khasnis AA, Nettleman MD (2005) Global warming and infectious disease. Arch Med Res 36(6):689–696 https://doi.org/10.1016/j.arcmed.2005.03.041
Lai KH, Wong CW, Cheng TCE (2012) Ecological modernisation of Chinese export manufacturing via green logistics management and its regional implications. Technol Forecast Soc Change 79(4):766–770
Laosirihongthong T, Adebanjo D, Tan CK (2013) Green supply chain management practices and performance. Ind Manag Data Syst 113(8):696–710 https://doi.org/10.1108/02635570710734262
Lee KH, Wu Y (2014) Integrating sustainability performance measurement into logistics and supply networks: a multi-methodological approach. Br Account Rev 46(4):361–378 https://doi.org/10.1016/j.bar.2014.10.005
Liimatainen H, Kallionpää E, Pöllänen M, Stenholm P, Tapio P, Mckinnon A (2014) Technological forecasting & social change decarbonizing road freight in the future—detailed scenarios of the carbon emissions of Finnish road freight transport in 2030 using a Delphi method approach. Technol Forecast Socl Chang 81:177–191 https://doi.org/10.1016/j.techfore.2013.03.001
Lu Q, Cai S, Goh M, Souza, R. De. (2010) Logistics capability as a factor in foreign direct investment location choice, 163–168
Mafakheri F, Nasiri F (2014) Modeling of biomass-to-energy supply chain operations: applications, challenges and research directions. Energ Policy 67:116–126 https://doi.org/10.1016/j.enpol.2013.11.071
McMichael AJ, Woodruff RE, Kenneth HM, Pizer HF (2008) Climate change and infectious diseases. Soc Ecol Infect Dis 9(6):378–407 https://doi.org/10.1016/S1473-3099(09)70104-5
Meyer I, Leimbach M, Jaeger CC (2007) International passenger transport and climate change: a sector analysis in car demand and associated CO2 emissions from 2000 to 2050. Energ Policy 35(12):6332–6345
Min H, Kim I (2012) Green supply chain research: past, present, and future. Logist Res 4(1–2):39–47 https://doi.org/10.1007/s12159-012-0071-3
Murphy PR, Poist RF (2000) Green logistics strategies: an analysis of usage patterns. Transp J 40(2):5–16
Nakamichi K, Hanaoka S, Kawahara Y (2016) Estimation of cost and CO2 emissions with a sustainable cross-border supply chain in the automobile industry: a case study of Thailand and neighboring countries. Transp Res Part D: Transp Environ 43:158–168 https://doi.org/10.1016/j.trd.2015.12.018
Nasir MHA, Genovese A, Acquaye AA, Koh SCL, Yamoah F (2016) Comparing linear and circular supply chains: a case study from the construction industry. Int J Prod Econ 183:1–16 https://doi.org/10.1016/j.ijpe.2016.06.008
Nguyen TLT, Gheewala SH, Sagisaka M (2010) Greenhouse gas savings potential of sugar cane bio-energy systems. J Clean Prod 18(5):412–418
Park DH, Kashyap P, Visvanathan C (2016) Comparative assessment of green supply chain management (GSCM) in drinking water service industry in Lao PDR, Thailand, and South Korea. Desalin Water Treat 57(59):28684–28697 https://doi.org/10.1080/19443994.2016.1194232
Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approaches to the analysis of level relationships. J Appl Econ 16:289–326
Porter M, Van der Linde C (1995) Green and competitive: ending the stalemate. Harv Bus Rev 73(5):120–124
Prajogo D, Chowdhury M, Yeung AC, Cheng TCE (2012) The relationship between supplier management and firm’s operational performance: a multi-dimensional perspective. Int J Prod Econ 136(1):123–130
Rahbauer S, Menapace L, Menrad K, Decker T (2016) Adoption of green electricity by German small and medium-sized enterprises (SMEs)—a qualitative analysis. J Clean Prod 129:102–112 https://doi.org/10.1016/j.jclepro.2016.04.113
Rao P, Holt D (2005) Do green supply chains lead to competitiveness and economic performance? Int J Op Prod Manag 25(9):898–916
Rehman Khan SA, Qianli D, SongBo W, Zaman K, Zhang Y (2017) Travel and tourism competitiveness index: the impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism. J Air Transp Manag 58:125–134 https://doi.org/10.1016/j.jairtraman.2016.10.006
Saba N, Jawaid M, Hakeem KR, Paridah MT, Khalina A, Alothman OY (2015) Potential of bioenergy production from industrial kenaf (Hibiscus cannabinus L.) based on Malaysian perspective. Renew Sust Energ Rev 42:446–459 https://doi.org/10.1016/j.rser.2014.10.029
Shahbaz M, Solarin SA, Sbia R, Bibi S (2015) Does energy intensity contribute to CO2 emissions? A trivariate analysis in selected African countries. Ecol Indic 50:215–224
Shin K, Ciccantell PS (2009) The steel and shipbuilding industries of South Korea: rising East Asia and globalization. Am Sociol Assoc 15(2):167–192
Stanek W, Szega M, Blacha L, Niesler M, Gawron M (2015) Exergo-ecological assessment of auxiliary fuel injection into blast-furnace. Arch Metall Mater 60(2). https://doi.org/10.1515/amm-2015-0196
Styles D, Schoenberger H (2012) Resources, conservation and recycling environmental improvement of product supply chains: a review of European retailers’ performance. Resour Conserv Recycl 65:57–78 https://doi.org/10.1016/j.resconrec.2012.05.002
Mitra S, Datta PP (2014) Adoption of green supply chain management practices and their impact on performance: an exploratory study of Indian manufacturing firms. Int J Prod Res 52(7)2085–2107. https://doi.org/10.1080/00207543.2013.849014
Vachon S, Mao Z (2008) Linking supply chain strength to sustainable development: a country-level analysis, 16, 1552–1560. https://doi.org/10.1016/j.jclepro.2008.04.012
Wanzala WG, Zhihong J (2016) Integration of the extended gateway concept in supply chain disruptions Management in East Africa-Conceptual paper. Int J Eng Res Afr 20:235–247 https://doi.org/10.4028/www.scientific.net/JERA.20.235
orld Bank (2016). World Development Indicators, World Bank, Washington D.C
WRI (2011) World resource institute. CAIT: Greenhouse gas Sources & Methods. <http://cait.wri.org/>
Wu C, Barnes D (2016) Partner selection in green supply chains using PSO—a practical approach. Prod Plan Control 27(13):1041–1061 https://doi.org/10.1080/09537287.2016.1177233
Youn S, Ga M, Yang M, Hong P, Park K (2013) Strategic supply chain partnership, environmental supply chain management practices, and performance outcomes: an empirical study of Korean firms. J Clean Prod 56:121–130. https://doi.org/10.1016/j.jclepro.2011.09.026
Zaman K, Shamsuddin S (2017) Green logistics and national scale economic indicators: evidence from a panel of selected European countries. J Clean Prod 143:51–63. https://doi.org/10.1016/j.jclepro.2016.12.150
Zaman K, Khan A, Rusdi M, Adeline T, Tengku A, Hussain S (2016) Dynamic linkages among energy consumption, environment, health and wealth in BRICS countries: green growth key to sustainable development. Renew Sust Energ Rev 56:1263–1271. https://doi.org/10.1016/j.rser.2015.12.010
Zhang G, Zhao Z (2012) Green packaging management of logistics enterprises. Phys Procedia 24:900–905
Zhu Q, Sarkis J, Lai K (2007) Green supply chain management: pressures, practices and performance within the Chinese automobile industry. J Clean Prod 15(11):1041–1052. https://doi.org/10.1016/j.jclepro.2006.05.021
Zhu Q, Sarkis J, Cordeiro JJ, Lai K-H (2008) Firm-level correlates of emergent green supply chain management practices in the Chinese context. Omega 36(4):577–591. https://doi.org/10.1016/j.omega.2006.11.009
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Khan, S.A.R., Qianli, D. Does national scale economic and environmental indicators spur logistics performance? Evidence from UK. Environ Sci Pollut Res 24, 26692–26705 (2017). https://doi.org/10.1007/s11356-017-0222-9
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DOI: https://doi.org/10.1007/s11356-017-0222-9