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制造业；产品质量；质量升级 1

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Characterization and seasonal distribution of microplastics in the nearshore sediments of the south-east coast of India

K. Dhineka , M. Sambandam , S. K. Sivadas , T. Kaviarasan , Umakanta Pradhan , Mehmuna Begum , Pravakar Mishra , M. V. Ramana Murthy

《环境科学与工程前沿（英文）》 2022年第16卷第1期页码 10-10 doi: 10.1007/s11783-021-1444-0

摘要：

In view of increasing Microplastics (MPs) contamination in the marine environment and dearth of baseline data, a study was conducted on the abundance, characterization, and seasonal distribution of MPs in the nearshore sediments of the south-east coast of India. Sediment samples (n = 130) were collected at a distance of 1 km and 10 km from the shore region at varying depths (8–45 m) along the Chennai to Puducherry coast (165 km stretch), representing two seasons, i.e., south-west (July 2019 and July 2020) and north-east (January 2020) monsoons. The average abundance of MPs at the 22 offshore sites along the Chennai to Puducherry coast varied from 9±4.3 to 19±12.9 particles/50 g dry weight, in July 2019 and January 2020, respectively. July 2020 had an average abundance of 10±4.5 particles/50 g dry weight. Spatially, high levels of MPs were found at 1km stations and transects in proximity to the river inlets, and temporally, the north-east month recorded the maximum concentration. The dominant morphotype was the filament, and the major polymers were polyethylene and polypropylene. Scanning Electron Microscope (SEM) images revealed the surface irregularity and degradation of MPs due to weathering. The study highlights that high sediment contamination by MPs occurs during heavy rainfall and accumulates closer to river inlets. Eventually, this study suggests that appropriate management of plastic wastes on the landside will reduce MP contamination in the marine environment.

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Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

《能源前沿（英文）》 2015年第9卷第3期页码 247-258 doi: 10.1007/s11708-015-0364-8

摘要： Over the last decade, India has started to concentrate earnestly on renewable energy. The Indian government, as well as different state governments, are adopting policy instruments such as feed in tariff, captive consumption, renewable purchase obligation and generation based incentive etc. aimed at renewable energy development. This paper evaluates the effectiveness of state level incentives for the development of wind energy in India. Fixed effect panel data modelling technique of econometric analysis is used to analyse the data of 26 Indian states in 11 years. The results show that feed in tariff and captive consumption are the significant predictors of wind energy development. However, renewable purchase obligation does not affect wind energy significantly.

关键词： India wind energy development state incentives econometric analysis panel data

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发展中国家制造业出口质量升级研究——基于中国、印度和巴西数据

刘伟丽,郑启明,张涵

《中国工程科学》 2015年第17卷第7期页码 133-132

摘要：

本文根据Hallak提出的产品质量影响双边贸易方向的质量模型，构建基于单位价值、国家之间距离和人均收入等变量的出口产品质量实证模型，测度了2003—2013年中国、印度和巴西三个发展中国家出口到美国的HS6位码的产品质量，并对中国、印度和巴西制造业的产品质量和质量升级进行比较研究，据此提出中国出口产品质量升级的政策建议。

关键词：制造业；产品质量；质量升级

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Effects of the US withdrawal from Paris Agreement on the carbon emission space and cost of China and India

Hancheng DAI, Yang XIE, Haibin ZHANG, Zhongjue YU, Wentao WANG

《能源前沿（英文）》 2018年第12卷第3期页码 362-375 doi: 10.1007/s11708-018-0574-y

摘要：

Climate mitigation has become a global issue and most countries have promised their greenhouse gas reduction target. However, after Trump took office as president of the United States (US), the US withdrew from the Paris Agreement. As the biggest economy, this would have impacts on the emission space of other countries. This paper, by using the integrated model of energy, environment and economy/computable general equilibrium (IMED/CGE) model, assesses the impacts of the US withdrawal from Paris Agreement on China, India in terms of carbon emission space and mitigation cost under Nationally Determined Contributions (NDCs) and 2°C scenarios due to changed emission pathway of the US. The results show that, under the condition of constant global cumulative carbon emissions and fixed burden sharing scheme among the countries, the failure of the US to honor its NDC commitment will increase its carbon emission space and decrease its mitigation cost. However, the carbon emission space of other regions, including China and India, will be reduced and their mitigation costs will be raised. In 2030, under the 2°C target, the carbon price will increase by US$14.3 to US$45.3/t in China and by US$10.7 to US$33.9/t in India. In addition, China and India will incur additional GDP loss. Under the 2°C target, the GDP loss of China would increase by US$23.3 to US$72.6 billion (equivalent to US$17.4 to US$54.2/capita), and that of India would rise by US$14.2 to US$43.1 billion (equivalent to US$9.3 to US$28.2/capita).

关键词： Paris Agreement China and India the US withdrawal carbon emission space mitigation cost

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通过Twitter的地理位置标记和文本来了解印度金奈基础设施恢复能力的初步研究 Article

Wai K. Chong, Hariharan Naganathan, Huan Liu, Samuel Ariaratnam, Joonhoon Kim

《工程（英文）》 2018年第4卷第2期页码 218-223 doi: 10.1016/j.eng.2018.03.010

摘要：

地理位置标记是一种使用地理标识元数据来标记数据和信息的过程，文本挖掘是指通过数据分析从文本中获取信息的过程。地理位置标记和文本挖掘这两种方法常被用于分析丰富的社交媒体数据，如视频、网站、文本和二维（QR）代码。它们经常被用来模拟消费者行为和预测市场趋势。本研究使用这两种技术分析在2015 年印度金奈洪灾中获得的数据，从而了解了当地的基础设施的恢复能力。本文对社交媒体（主要是Twitter）的潜在用途进行了概念化研究，这能够帮助我们更好地了解基础设施的恢复能力。研究小组使用特征提取技术从在发洪水期间由印度金奈人发出的推文中提取出Twitter 数据。首先，本项研究指出，这些技术有助于从地理位置标记，包含位置的单词以及每个位置的推文频率来判别基础设施的位置、缺陷和故障程度。然而，要更好地利用推文文本，以及更深入地理解文中使用的词语文化背景、用于描述该事件的词语背景和使用频率最低的词语，还需做出更多努力。

关键词：社交媒体洪流工程设计