Table of Content

20 December 2020, Volume 22 Issue 6

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MEASUREMENT AND FACTORS OF CHINA'S PROVINCIAL GREEN TECHNICAL INNOVATION EFFICIENCY

ZHANG Zaixu, HUANG Zhuolin

2020, 22(6):  1-8.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.009

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This paper, based on panel data of China's 30 provinces during 2011 to 2017, uses super-SBM model to measure the green technical innovation efficiency, which is dynamically analyzed by means of ML index. Spatial lagging model is used to study the key factors of the green technical innovation efficiency. China's green technical innovation efficiency shows an increasing trend, low but leaving room for improvement, also varies with regions, decreasing westward. Improvement of the green technical innovation level is a mutually attributed by technical efficiency and technical advances. The green technical innovation efficiency is positively influenced by industrial structure, regional openness and educational level, little by environmental regulations and research and development input.

EVALUATION OF TIANJIN'S OCEANIC RESOURCES ENVIRONMENTAL CARRYING CAPACITY BASED ON ENTROPY-WEIGHTED TOPSIS MODEL

CUI Wenjing, YAN Jingjing, SHA Jinghua, et al

2020, 22(6):  9-17.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.003

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To evaluate the key factors of Tianjin's oceanic resources environmental carrying capacity, this paper selects 27 indicators among oceanic resource system, oceanic environmental system and social economy system to establish an evaluation index system of oceanic resources environmental carrying capacity, with entropy-weighted TOPSIS model applied to evaluate Tianjin's oceanic resources environmental carrying capacity during 2007 to 2016 and its three sub-systems, key factors identified with gray correlation coefficient. In the period of 2007 to 2016, Tianjin's oceanic resources environmental carrying capacity amounts to 0.3412 to 0.5664, an intermediate level, showing a developing trend of descending-stabilizing-rising-stabiliing, descending during 2007 to 2010, stabilizing during 2010 to 2012, rising conspicuously during 2012 to 2014, and gradually stabilizing during 2014 to 2016. Tianjin's oceanic resources carrying capacity has a little change, its oceanic environmental carrying capacity shows a “V-shaped” trend and its social economic carrying capacity has a “W-shaped” trend. Gray correlation coefficient calculation indicates that key factors are annual sulfur dioxide and pollution control investment to GDP. This paper presents suggestions on rationally developing oceanic resources and developing coastal tourism aiming at improving Tianjin's oceanic resources environmental carrying capacity.

IMPACTS OF BEIJING-TIANJIN-HEBEI (JJJ) INDUSTRIAL STRUCTURAL OPTIMIZATION ON CARBON EMISSION BASED ON DYNAMIC PANEL GMM MODEL AND VAR MODEL

ZHANG Lu, SONG Yuan

2020, 22(6):  18-28.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.001

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The low carbon development, industrial structural optimization and upgrade of JJJ as a national key strategy region plays a key role in China's low carbon industrial development, carbon emission reduction performance of sectors is of significance for regional carbon emission reduction. Dynamic panel GMM model and VAR model are used to analyze the impacts of JJJ industrial structural rationalization and optimization on carbon emission, and multiple-formula-linked regression is applied to logical causality and short-term shock effects of related economy variables. Results show carbon emission can be reduced upon JJJ industrial structural optimization and rationalization, although varying with localities. This paper offers suggestions on carbon emission reduction according to the impacts of JJJ industrial structural optimization on carbon emission.

DECOUPLING LEVEL AND DRIVING FACTORS OF INDUSTRIAL ENERGY CARBON EMISSION AND ECONOMIC GROWTH IN YANGZI RIVER URBAN AGGLOMERATION

TIAN Ze, ZHANG Huaijing, HUANG Mengmeng, et al

2020, 22(6):  29-36.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.002

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Yangzi river urban agglomeration, as a vital place situated in the down-stream of Yangzi river economic zone, is a leading engine of "1+3" key functioning area in Jiangsu province. Green ecological construction of Yangzi river urban agglomeration is of strategic sense for constructing new Jiangsu and protecting Yangzi river. This paper studies the decoupling level and driving factors of industrial energy carbon emission of Yangzi river urban agglomeration. Its industrial carbon emission generally shows an increasingly fluctuating trend, with Nanjing and Suzhou much larger than other cities. The decoupling has roughly undergone expanding linkage, strongly decoupling and weakly decoupling, overall a rising decoupling level, unstable, varying largely with urban agglomeration, but in process of optimization. Factors such as carbon emission intensity effect and energy intensity effect promote the decoupling level, but offset by industrial economy size, regional economy proportion and energy structure. This paper presents suggestions on boosting tentative construction of low carbon city, establishing whole domain carbon exchange market, optimizing energy structure and stimulating scientific innovation, in order to promote a quality development of Yangzi river urban agglomeration.

DO RESEARCH INPUTS CONSTRAIN CARBON EMISSION FROM CARBON EMISSION FACTORS BASED ON LMDI MODELAND STIRPAT MODEL?

GAO Xinwei, ZHU Yuan

2020, 22(6):  37-45.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.006

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Saving energy and reducing emission is a global topic. China has reduced carbon emission through boosting research inputs, improving energy structure and reaching industrial upgrade. Although China's high pollution industries have spent lots on research, direction and intensity of improving the overall industrial environmental effect from limiting carbon dioxide emission still lacks of concrete indicators. This paper, aiming at effect of research inputs on carbon emission, decomposes LMDI model which has been incorporated with research size effect as a factor of carbon emission, and discusses the decomposition from economic size, research size, energy structure and intensity. STIRPAT model, in order to compensate the LMDI model in flexibility, is used to further study the topic by using overall energy intensity index and research input efficiency, combined with provincial panel data. Increment of research input has little constraints on carbon emission, but improvement of research efficiency and industrial structural upgrade do. Energy structure and energy intensity are outstandingly negatively related to carbon emission. Implementation of conversion of old-new kinetic energy key projects effectively constrains carbon emission. This paper presents suggestions according to the modeling results on targeting research input, increasing research input efficiency, issuing saving power and reducing emission policies, encouraging innovation, promoting the conversion of old-new kinetic energy and optimizing industrial structure.

CORRELATION AMONG BIDIRECTIONAL FDI, ECONOMIC GROWTH AND INDUSTRIAL WASTE WATER DISCHARGE BASED ON PANEL VAR MODEL

WANG Baoqian， DING Chenjuan

2020, 22(6):  46-54.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.004

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China's inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI) has driven the economy since reform and openness, leading to a rising conflict between water environmental pollution and economic development, especially massive industrial water discharge, largely impacting ecological environment and welfare. This paper on the basis of panel data of 29 provinces (prefectures) during 2003 to 2017 uses panel VAR model and firstly use pulse response function to study their correlation among China's bidirectional FDI, economic growth and industrial water discharge. The result shows a long-term stable positive influence among IFDI, OFDI and economic growth, with fluctuation in a short term, but bidirectional FDI contributes to economy within a long term. Bidirectional FDI has yet reached a coordinated development with industrial waste water discharge, during which IFDI decreases industrial waste water discharge at the initial stage, but bounced by OFDI in a short term, otherwise also decrease industrial waste water discharge at some specific developing stages. Economic growth leads to a rise of industrial waste water discharge but at a descending increment. Industrial waste water discharge has little positive influence on IFDI, but outstandingly restricts the OFDI at the initial stage, and imposes a lagging effect on economic growth.

INFLUENCE OF CORPORATE SOCIAL RESPONSIBILITY ON CROSS-NATION MERGEAND ACQUISITION PERFORMANCE BASED ON THE DATA OF SHANGHAI AND SHENZHEN A-SHARE LISTED COMPANIES

ZHANG Ying, QIU Xiaoxue

2020, 22(6):  55-65.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.005

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In an attempt to avoid cross-nation merge and acquisition (M&A) risks of Chinese enterprises due to corporate social responsibility and to balance the interests and social responsibility, this paper uses 109 successful cross-nation M&A cases of Shanghai and Shenzhen A-share listed companies during 2009 to 2017 to study the influence of corporate social responsibility on cross-nation M&A performance via theories of stakeholder, social contract and entrust, also considers the adjustment of enterprise ownership, industrial consistency and cross-nation M&A experience. Multiple regression model shows a positive influence, subject to a negative adjustment of state-owned ownership and cross-nation M&A experience, as well backed by industrial consistency when the M&A both sides belong to the same domain. This paper presents suggestions for Chinese enterprises disclosing their social responsibilities and adopting global standards, and making strategies for corporate social responsibilities through global public affairs companies. This conclusion offers references for Chinese enterprises on performing social responsibilities and provides a new theoretical viewing angle for research on factors of cross-nation M&A performance.

URBAN MINING ASSESSMENT OF COPPER, IRON AND ALUMINUM IN FUJIAN PROVINCE

HAO Min, SONG Lulu, DAI Min, et al

2020, 22(6):  66-74.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.008

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Urban mining refer to the recyclable secondary resource, its stock is significant to mitigate resource pressure and promote circular economy. This paper uses an up-to-down way to calculate the in-use stock of copper, iron and aluminum in Fujian province during 1978 to 2016. The stocks of copper, iron and aluminum had increased by 10, 15 and 22 times, respectively, equivalent to 2.4, 290, and 7.4 million tons. In 2016, average stock per person of copper, iron and aluminum is 58kg, 7.6t and 191kg, far below the developed nations. Their sources indicate that infrastructure contribute to copper stock at most, up to 62%, most from electronic lines, construction contribute to iron and aluminum up to 80% and 40%, most from residence constructions. This research also sets up a long term stock database of copper, iron and aluminum for Fujian province, which is used to analyze their stock size, increment mode, category and department. This paper provides data support for Fujian to develop and use urban mining, and offers references for provincial or city management of copper, iron and aluminum resources.

QUANTITATIVE STUDY ON COMPREHENSIVE BENEFITS OF LOW INFLUENCE DEVELOPMENT (LID) APPROACHES IN SPONGE CITIES

YANG Fenglu, YANG Gaosheng

2020, 22(6):  75-81.  DOI: 10.13776/j.cnki.resourcesindustries.20201125.012

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From economic, environmental and social benefits, this paper analyzes the components of LID approach benefits in sponge cities. Economy factors include reducing energy consumption, recycling rainfall, and decreasing rainfall pipe operating cost. Environmental factors include purifying air, reducing carbon emission, compensating underground water. Social factors include reducing social investment in eliminating pollution, decreasing flooding cost. This paper uses environmental economics to study the monetization methods of LID approach benefits, and establishes net benefit indexes of LID approaches via full life cycle theory from perspective of cost and benefits. Taking sponge city Zhenjiang as an example, this paper quantitatively studies the comprehensive benefits of LID approaches in Zhenjiang, which receives economic benefits from saving water, saving power, reducing carbon emission, preventing pollution and preventing flooding, up to 6.53 RMB per square meter annually. This paper presents suggestions on improving compensation policy, boosting sponge city technical system, intensifying rainfall resource development, and rationally selecting LID approaches.

IMPACTS OF ENVIRONMENTAL INFORMATION DISCLOSURE ON STEEL ENTERPRISE VALUES BASED ON ENTERPRISEREPUTATION CONDUCTION

TIAN Guiliang, SHENG Yu, CAO Younan

2020, 22(6):  82-88.  DOI: 10.13776/j.cnki.resourcesindustries.20201126.007

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Steel enterprises cause lots of environmental pollution. In order to reach a coordinated development between economic benefits and environmental protection of steel enterprises, this paper studies the impacts of environmental information disclosure on steel enterprise values. Enterprise reputation, which plays a role of media on how environmental information disclosure impact enterprise values, is adopted as a media variable to explore their relation. Based on 30 A-share listed steel enterprise between 2013 to 2016, this paper selects their environmental information disclosure level, reputation, values and controlling variables to study impact of environmental information disclosure on enterprise values during operation and development, which lies in two aspects, enterprise values are increased directly by environmental information disclosure level, and indirectly through enterprise reputation. This paper accordingly presents suggestions for steel enterprises, stakeholders and government.

DOES THE SHALE GAS REVOLUTION SHAKE THE NATURAL GAS MARKET?

LI Jiangfeng, WU Qiaosheng, XUE Shuangjiao

2020, 22(6):  89-97.  DOI: 10.13776/j.cnki.resourcesindustries.20201125.011

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America's shale gas revolution alters its energy development, and also impacts the global energy pattern. This paper, based on its development and impacts of shale gas revolution, uses a quantitative model to reveal if it brings an impact on the natural gas markets of North America, Europe and Japan. On the basis of monthly data of 1988 June to 2018 May, BP breakpoint test model which structural mutation is adapted on the traditional unit root is used to analyze its characters of America's shale gas developing stages combined with related policies. Impulse response and variance is employed to study their correlation of the three big global gas markets before and after shale gas revolution. Sequence segmentation and industrial status of natural gas suggests the process and mechanism of America's shale gas revolution on global natural gas market. It is concluded that America's shale gas revolution raises its influence of American-European natural gas price on Asian market or even the global market.