How would big data support societal development and environmental sustainability? Insights and practices

Abstract The theme of this Special Volume (SV) focuses on improving natural resource management and human health to ensure sustainable societal development. Natural resources have been exploited unduly regardless of the consequences, which has resulted in inappropriate management natural resources and has caused severe environmental degradation. Contributions in this SV addressed improved environmental management, utilization, and allocation of natural resources; evaluation of sustainable natural resource management; pollution prevention and treatment; and evaluation and suggestions for improved natural resource-related policies. The authors presented an inspiring panorama of the initiatives that have been developed throughout the world for sustainable natural resource management and improve societal development. Theoretically, new approaches to bridge the gaps between the economic development and environmental protection were increasingly dominant. Empirically, many of the papers provided case studies of regions in China and other regions. The authorship reflected growing collaboration between researchers from many different countries or universities. While the great diversity of contributions on the topic reflected the wealth of insights generated on the topic in recent years, there is much more that must be done to achieve societal sustainability in natural resource management.

[1]  Qingxian An,et al.  Allocation of carbon dioxide emission permits with the minimum cost for Chinese provinces in big data environment , 2017 .

[2]  Ming Zhang,et al.  A comparative study on decoupling relationship and influence factors between China's regional economic development and industrial energy–related carbon emissions , 2017 .

[3]  Yingfeng Zhang,et al.  A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products , 2017 .

[4]  Hualin Xie,et al.  Exploring the factors influencing ecological land change for China's Beijing–Tianjin–Hebei Region using big data , 2017 .

[5]  Ruyin Long,et al.  Application of the public–private partnership model to urban sewage treatment , 2017 .

[6]  Yansui Liu,et al.  Dynamic analysis of ecological environment combined with land cover and NDVI changes and implications for sustainable urban–rural development: The case of Mu Us Sandy Land, China , 2017 .

[7]  Yong Geng,et al.  Trends of natural resource footprints in the BRIC (Brazil, Russia, India and China) countries , 2017 .

[8]  Markus Schilling,et al.  The effect of natural resources on a sustainable development policy: The approach of non-sustainable externalities , 2011 .

[9]  Zhang Zhenhua,et al.  The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: A case study in Longkou, China , 2017 .

[10]  Yuanhui Zhang,et al.  Improved production and quality of biocrude oil from low-lipid high-ash macroalgae Enteromorpha prolifera via addition of crude glycerol , 2017 .

[11]  Gang Wu,et al.  The effects of carbon dioxide, methane and nitrous oxide emission taxes: An empirical study in China , 2017 .

[12]  Benjamin T. Hazen,et al.  Perceived quality of remanufactured products: construct and measure development , 2017 .

[13]  Yuhong Wang,et al.  Carbon emission and its decoupling research of transportation in Jiangsu Province , 2017 .

[14]  Yuhuan Cui,et al.  Spatiotemporal dynamic analysis of forest ecosystem services using “big data”: A case study of Anhui province, central-eastern China , 2017 .

[15]  Weiguo Jiang,et al.  Using spatiotemporal remote sensing data to assess the status and effectiveness of the underground coal fire suppression efforts during 2000-2015 in Wuda, China , 2017 .

[16]  A. Gunasekaran,et al.  The role of Big Data in explaining disaster resilience in supply chains for sustainability , 2017 .

[17]  Nan Meng,et al.  Sustainability performance for China's transportation industry under the environmental regulation , 2017 .

[18]  Chu Wei,et al.  Resource misallocation in Chinese manufacturing enterprises: evidence from firm-level data , 2017 .

[19]  Zhaoyuan Yu,et al.  Carbon emission flow from self-driving tours and its spatial relationship with scenic spots - a traffic-related big data method. , 2017 .

[20]  Yi-Ming Wei,et al.  Cooking fuel choice in rural China: results from microdata , 2017 .

[21]  C. Laymon A. study , 2018, Predication and Ontology.

[22]  T. Sterner,et al.  Policy Instruments for Environmental and Natural Resource Management , 2002 .

[23]  Reza Farzipoor Saen,et al.  Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks , 2017 .

[24]  Li Yang,et al.  Can China meet its 2020 economic growth and carbon emissions reduction targets , 2017 .

[25]  Xiangzheng Deng,et al.  Management of trade-offs between cultivated land conversions and land productivity in Shandong Province , 2017 .

[26]  Jevan Cherniwchan Economic Growth, Industrialization, and the Environment , 2012 .

[27]  Binru Cao,et al.  Opening up, international trade, and green technology progress , 2017 .

[28]  Li Zhang,et al.  Effect analysis of air pollution control in Beijing based on an odd-and-even license plate model , 2017 .

[29]  Dequn Zhou,et al.  Energy efficiency and congestion assessment with energy mix effect: The case of APEC countries , 2017 .

[30]  Xiangzheng Deng,et al.  Relationship between landscape diversity and crop production: a case study in the Hebei Province of China based on multi-source data integration , 2017 .

[31]  Jiasen Sun,et al.  DEA cross-efficiency evaluation considering undesirable output and ranking priority: a case study of eco-efficiency analysis of coal-fired power plants , 2017 .

[32]  Jianping Guo,et al.  A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China , 2014 .

[33]  Yinyin Wu,et al.  Regional differences in China's fossil energy consumption: an analysis for the period 1997–2013 , 2017 .

[34]  Ying Fan,et al.  A big data study on emitting companies' performance in the first two phases of the European Union Emission Trading Scheme , 2017 .

[35]  Shuai Shao,et al.  Impacts of air pollution and its spatial spillover effect on public health based on China's big data sample , 2017 .

[36]  Arghavan Louhghalam,et al.  Carbon management of infrastructure performance: Integrated big data analytics and pavement-vehicle-interactions , 2017 .

[37]  Xiang-hua Liu,et al.  Corporate governance, social responsibility information disclosure, and enterprise value in China , 2017 .

[38]  Dandan Guo,et al.  An approach for evaluating cleaner production performance in iron and steel enterprises involving competitive relationships , 2017 .

[39]  Wei Zhang,et al.  Convergence analysis of regional energy efficiency in china based on large-dimensional panel data model , 2017 .

[40]  Haiyan Li,et al.  A study of regional sustainable development based on GIS/RS and SD model — Case of Hadaqi industrial corridor , 2017 .

[41]  Ning Zhang,et al.  Sustainability characteristics of China's Poyang Lake Eco-Economics Zone in the big data environment , 2017 .

[42]  Haibing Wang,et al.  A novel power market clearing model based on the equilibrium principle in microeconomics , 2017 .

[43]  Meng-Shiuh Chang,et al.  Promotion policies for renewable energy and their effects in Taiwan , 2017 .

[44]  Lixiao Zhang,et al.  Emergy based resource intensities of industry sectors in China , 2017 .

[45]  Xiangzheng Deng,et al.  Quantitative measurements of the interaction between net primary productivity and livestock production in Qinghai Province based on data fusion technique , 2017 .

[46]  Donald Huisingh,et al.  Carbon dioxide storage schemes: Technology, assessment and deployment , 2017 .

[47]  Ningning Liu,et al.  Sustainable utilization of water resources in China: A system dynamics model , 2017 .

[48]  Yao Xiao,et al.  Optimal farmland conversion in China under double restraints of economic growth and resource protection , 2017 .

[49]  Lei Shi,et al.  The aggregate effect of air pollution regulation on CO2 mitigation in China's manufacturing industry: an econometric analysis , 2017 .

[50]  M. Tseng,et al.  Toward Sustainability : Using Big Data to Explore Decisive Attributes of Supply Chain Risks and Uncertainties , 2017 .

[51]  Liang Chen,et al.  Environmental efficiency analysis of China's regional industry: a data envelopment analysis (DEA) based approach , 2017 .

[52]  Marie Schmidt Policy Instruments For Environmental And Natural Resource Management , 2016 .

[53]  Wei Qi,et al.  Effect of driving restrictions on air quality in Lanzhou, China: Analysis integrated with internet data source , 2017 .

[54]  Angappa Gunasekaran,et al.  Sustainable supply chain management: framework and further research directions , 2017 .

[55]  Boqiang Lin,et al.  Evaluating energy conservation in China's heating industry , 2017 .

[56]  Qingyuan Zhu,et al.  China's regional natural resource allocation and utilization: a DEA-based approach in a big data environment , 2017 .

[57]  Zheng-Xin Wang,et al.  Forecasting Chinese carbon emissions from fossil energy consumption using non-linear grey multivariable models , 2017 .

[58]  Jiasen Sun,et al.  Allocation of emission permits in large data sets: a robust multi-criteria approach , 2017 .

[59]  Jingzheng Ren,et al.  Analysis on spatial-temporal features of taxis' emissions from big data informed travel patterns: a case of Shanghai, China , 2017 .

[60]  Ming-Lang Tseng,et al.  Using social media and qualitative and quantitative information scales to benchmark corporate sustainability , 2017 .

[61]  Boqiang Lin,et al.  China\'s natural gas consumption peak and factors analysis: a regional perspective , 2017 .

[62]  Ning Zhang,et al.  An optimization model for green supply chain management by using a big data analytic approach , 2017 .

[63]  Lei Li,et al.  Evaluation on China's forestry resources efficiency based on big data , 2017 .

[64]  Qingyuan Zhu,et al.  Environmental efficiency of land transportation in China: A parallel slack-based measure for regional and temporal analysis , 2017 .