The impact of uncertain emission trading markets on interactive resource planning processes and international emission trading experiments

2010 ◽  
pp. 327-338 ◽  
Author(s):  
Stefan Pickl ◽  
Erik Kropat ◽  
Heiko Hahn
Keyword(s):  
Emission Trading ◽  
Resource Planning ◽  
Planning Processes ◽  
The Impact

Examining the Impact and Influencing Channels of Emission Trading Pilot Markets in China

2020 ◽  
Vol 11 (1) ◽  
pp. 136-136
Author(s):  
Qiong Wu ◽  
Kanittha Tambunlertchai ◽  
Pongsa Pornchaiwiseskul
Keyword(s):  
Total Factor Productivity ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Emission Trading ◽  
Chinese Government ◽  
Synergy Effect ◽  
Factor Productivity ◽  
Plan Period ◽  
Carbon Emission Trading ◽  
The Impact

The global warming has become a serious issue in the world since the 1980s. The targets for the first commitment period of the Kyoto Protocol cover emissions of the six main greenhouse gasses (GHGs). China is the world's largest CO2 emitter and coal consumer and was responsible for 27.3 percent of the global total CO2 emission and 50.6 percent of the global total coal consumption in 2016 (BP, 2017). As China plays an important role in the global climate change, China has set goals to improve its environmental efficiency and performance. In 2011, the Chinese government for the first time announced an intent to establish carbon emission trading market in China. Eight regional emission trading schemes have been operating since 2013 (seven pilot markets during the 12th Five Year Plan period and one pilot market during the 13th Five Year Plan period) including provinces of Guangdong, Hubei, and Fujian, and cities of Beijing, Tianjin, Shanghai, Shenzhen, and Chongqing. The goal of these regional emission trading pilot markets is to help the government establish an efficient carbon emission trading scheme at national level. Some researchers have been focused on examining the impact of emission trading schemes in China using CGE model by constructing different scenarios and ex-ante analysis using data prior to emission trading pilot markets implementation. While this paper tries to conduct an ex-post analysis with data of 2005-2017 to evaluate the impact of emission trading pilot markets in China at provincial level using difference-in-difference (DID) model. By including both CO2 and SO2 as undesirable outputs to calculate Malmquist-Luenberger (ML) Index to measure green total factor productivity, this paper plans to evaluate the impact of carbon emission trading pilot markets in China via emission reduction, regional green development, synergy effect and influencing channels. This paper tries to answer the following research questions: (1) Do emission trading pilot markets reduce CO2 emission and increase regional green total factor productivity? (2) Is there any synergy effect from emission trading pilot markets? (3) What are the influencing channels of emission trading pilot markets? Keywords: Emission trading, CO2 emissions, Different-in-difference

Does a carbon emissions trading scheme spur urban green innovation? Evidence from a quasi-natural experiment in China

2021 ◽  
pp. 0958305X2110153
Author(s):  
Chao Li ◽  
Xiangyou Li ◽  
Deyong Song ◽  
Meng Tian
Keyword(s):  
Energy Conservation ◽  
Alternative Energy ◽  
Positive Impact ◽  
Emission Trading ◽  
Green Innovation ◽  
Urban Green ◽  
Carbon Emissions Trading ◽  
The Government ◽  
Trading Scheme ◽  
The Impact

Based on the panel data of 277 cities between 2003 and 2017 and a unique city-level dataset of green patent applications, this study employs the difference-in-differences (DID) method to evaluate the effect of China’s carbon emission trading scheme (ETS) pilots on urban green innovation. The findings indicate that China’s ETS pilots have a positive impact on urban green innovation, and that impact is more significant for municipalities than for prefecture-level cities. Furthermore, the impact on different categories of urban green innovation is heterogeneous. More specifically, China’s ETS pilots have significantly spurred urban green innovation that is closely related to energy conservation and emission reduction, including alternative energy production, transportation, energy conservation and so forth. Moreover, the facilitating effect of China’s ETS pilots on urban green innovation suffers from a lagging effect, which began to show a significant positive effect in 2016. Overall, this paper identifies the effect of China’s ETS pilots on urban green innovation, and suggests that the government should consider the heterogeneity of urban green innovation when designing national ETS policies.

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojun Yao ◽  
Masoumeh Azma
Keyword(s):  
Human Resources ◽  
Human Resource ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Equation Modeling ◽  
Planning Systems ◽  
Privacy And Security ◽  
Content Type ◽  
Enterprise Resource Planning Systems ◽  
The Impact

PurposeThis study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.Design/methodology/approachOver the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.FindingsBased on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.Research limitations/implicationsThis study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.Practical implicationsThe results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.Originality/valueIn this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.

Evaluating the impact of human resource planning programs in addressing the strategic goal of the firm

2019 ◽  
Vol 16 (5) ◽  
pp. 659-682 ◽  
Author(s):  
Debarun Chakraborty ◽  
Wendrila Biswas
Keyword(s):  
Factor Analysis ◽  
Competitive Advantage ◽  
Human Resource ◽  
Resource Planning ◽  
Equation Modeling ◽  
Content Type ◽  
Analysis And Design ◽  
Succession Plan ◽  
The Impact ◽  
Strategic Goal

Purpose Today, the employees stand firm as an integral part of the organization and are a precious asset. They are willing to learn, accept challenges and strive hard to deliver their level best. The role of the employees has become pronounced and significant, and it is no more conventional. They are now taking up responsibilities in strategic planning and development of the organization. Thus, HR department plays a profuse role in planning for the human resource of the firm to optimize the utilization of their potentials that would help support and meet the business as well as strategic goal of the firm. These HR planning programs ensure managing people within a planned framework and make them develop their performance that becomes a source of sustained competitive advantage for the firm. The paper aims to discuss these issues. Design/methodology/approach A descriptive research has been conducted with cross-sectional survey through a formalized questionnaire. Multistage sampling has been used in the study. Primary data have been collected from different manufacturing industries of India. Exploratory factor analysis and confirmatory factor analysis have been conducted on the hypothesized research model. Structural equation modeling has been done to specify the relation between the measured and latent variables. Findings The HR planning programs, namely, staffing plan and succession plan, yield a better result in addressing the strategic goal of the company. Succession plan, staffing plan and talent management strategies augment the efficacious performance of the firm. Effectual performance aids in gaining a competitive advantage for the firm in a substantial way. Job analysis and design have no impact in achieving the strategic intent of the organization. Originality/value The study gives a comprehensive scenario of the HR planning programs that can help the organization to meet and uphold their strategic goals. The study provides a model that can solidify and bind the organization toward securing organizational intent and leading a steadfast business process in this dynamic competitive marketplace.

scholarly journals Dominant climatic factors driving annual runoff changes at the catchment scale across China

2016 ◽  
Vol 20 (7) ◽  
pp. 2573-2587 ◽  
Author(s):  
Zhongwei Huang ◽  
Hanbo Yang ◽  
Dawen Yang
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Climate Changes ◽  
Climatic Factors ◽  
Southern China ◽  
Resource Planning ◽  
Annual Runoff ◽  
Net Radiation ◽  
Catchment Scale ◽  
The Impact

Abstract. With global climate changes intensifying, the hydrological response to climate changes has attracted more attention. It is beneficial not only for hydrology and ecology but also for water resource planning and management to understand the impact of climate change on runoff. In addition, there are large spatial variations in climate type and geographic characteristics across China. To gain a better understanding of the spatial variation of the response of runoff to changes in climatic factors and to detect the dominant climatic factors driving changes in annual runoff, we chose the climate elasticity method proposed by Yang and Yang (2011). It is shown that, in most catchments of China, increasing air temperature and relative humidity have negative impacts on runoff, while declining net radiation and wind speed have positive impacts on runoff, which slow the overall decline in runoff. The dominant climatic factors driving annual runoff are precipitation in most parts of China, net radiation mainly in some catchments of southern China, air temperature and wind speed mainly in some catchments in northern China.

scholarly journals The challenge of bringing evidence in decision-making for public health emergencies: can preparedness reach out to HTA?

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
C E Chronaki ◽  
A Miglietta
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Policy Development ◽  
Digital Health ◽  
Resource Planning ◽  
Public Health Emergency ◽  
Evidence Based ◽  
Public Health Emergencies ◽  
The Impact ◽  
Evidence Based Decision Making

Abstract Evidence-based decision-making is central to public health. Implementing evidence-informed actions is most challenging during a public health emergency as in an epidemic, when time is limited, scientific uncertainties and political pressures tend to be high, and reliable data is typically lacking. The process of including data for preparedness and training for evidence-based decision making in public health emergencies is not systematic and is complicated by many barriers as the absence of common digital tools and approaches for resource planning and update of response plans. Health Technology Assessment (HTA) is used with the aim to improve the quality and efficiency of public health interventions and to make healthcare systems more sustainable. Many of today's public health crises are also cross-border, and countries need to collaborate in a systematic and standardized way in order to enhance interoperability to share data and to plan coordinated response. Digital health tools have an important role to play in this setting, facilitating use of knowledge about the population that can potentially affected by the crisis within and across regional and national borders. To strengthen the impact of scientific evidence on decision-making for public health emergency preparedness and response, it is necessary to better define and align mechanisms through which interdisciplinary evidence feeds into decision-making processes during public health emergencies and the context in which these mechanisms operate. Activities and policy development in the HTA network could inform this process. The objective of this presentation is to identify barriers for evidence-based decision making during public health emergencies and discuss how standardization in digital health and HTA processes may help overcome these barriers leading to more effective coordinated and evidence-based public health emergency response.

Sign in / Sign up

Export Citation Format

Share Document