Input-Output Analysis for Energy and Environmental Systems

Topic Information

Dear Colleagues,

Input-output analysis is an important method for quantitative economic research. It has been widely used to investigate energy and environmental issues at sectoral, regional, and national scales, including the materials/energy/emissions accounting embodied in the commodity trade. These results shed light on policy making for sustainable development and climate change mitigation.

With the present studies of this Topic, we aim to disseminate input-output analysis use and develop the relevant model to deal with more energy and environmental issues. Topics of interest include, but are not limited to:

• Application of input-output analysis to energy issues;
• Environmentally extended input-output analysis;
• Input-output analysis of energy use in agriculture;
• Waste input-output analysis;
• Carbon footprint analysis.

Dr. Xiaoqian Song
Dr. Jiajie Li
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Agriculture agriculture	3.3	4.9	2011	19.2 Days	CHF 2600
Energies energies	3.0	6.2	2008	16.8 Days	CHF 2600
Mathematics mathematics	2.3	4.0	2013	18.3 Days	CHF 2600
Forests forests	2.4	4.4	2010	16.2 Days	CHF 2600
Sustainability sustainability	3.3	6.8	2009	19.7 Days	CHF 2400

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (2 papers)

Order results

Content type Publication Date

Result details

Normal Extended Compact

Journals

All Agriculture Energies Mathematics Forests Sustainability

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

Error

Oops... you haven't selected anything for export.

Ok

clear

25 pages, 2625 KiB  

Open AccessArticle

Does Green Finance Improve Industrial Energy Efficiency? Empirical Evidence from China

by Linmei Cai and Jinsuo Zhang

Energies 2024, 17(19), 4818; https://doi.org/10.3390/en17194818 - 26 Sep 2024

Cited by 1 | Viewed by 886

Abstract

Improving industrial energy efficiency (IEE) is crucial for reducing CO₂ emissions. Green finance (GF) provides an essential economic instrument for investment in IEE improvement. However, previous studies have not reached a consensus on whether GF can promote energy efficiency. In addition, more [...] Read more.

Improving industrial energy efficiency (IEE) is crucial for reducing CO₂ emissions. Green finance (GF) provides an essential economic instrument for investment in IEE improvement. However, previous studies have not reached a consensus on whether GF can promote energy efficiency. In addition, more research is needed in the industrial sector. Therefore, this study focused on the industrial level to investigate GF’s impact on IEE and its heterogeneity using a two-way fixed effects model. The moderating effect, threshold effect, and spatial lag models were used to test the various effects of GF on IEE. In addition, the spatial clustering characteristics of IEE were analyzed. The results indicate the following: GF can significantly promote IEE, positively improves IEE in the central and eastern areas, and has a negative impact in the western area; the marketization level (ML) is an important channel through which GF can further improve IEE; GF’s impact on IEE exhibits a single threshold effect of the level of economic development (EDL) and green credit (GCL); GF promotes local IEE improvement but prevents neighboring IEE improvement; and IEE shows four types of clusters, but only in about one-third of the provinces. Based on these results, several recommendations are provided. Full article

(This article belongs to the Topic Input-Output Analysis for Energy and Environmental Systems)

►▼ Show Figures

Graphical abstract

attachment

Supplementary material:
Supplementary File 1 (ZIP, 351 KiB)

18 pages, 3686 KiB  

Open AccessArticle

Can the Integration of Water and Fertilizer Promote the Sustainable Development of Rice Production in China?

by Qin Liao, Jiangxia Nie, Huilai Yin, Yongheng Luo, Chuanhai Shu, Qingyue Cheng, Hao Fu, Biao Li, Liangyu Li, Yongjian Sun, Zongkui Chen, Jun Ma, Na Li, Xiaoli Zhang and Zhiyuan Yang

Agriculture 2024, 14(4), 585; https://doi.org/10.3390/agriculture14040585 - 8 Apr 2024

Cited by 3 | Viewed by 2848

Abstract

Rice production is the agricultural activity with the highest energy consumption and carbon emission intensity. Water and fertilizer management constitutes an important part of energy input for rice production and a key factor affecting greenhouse gas emissions from paddy fields. Water–fertilizer integration management [...] Read more.

Rice production is the agricultural activity with the highest energy consumption and carbon emission intensity. Water and fertilizer management constitutes an important part of energy input for rice production and a key factor affecting greenhouse gas emissions from paddy fields. Water–fertilizer integration management (AIM) is an automated water and fertilizer management system for large-scale rice production, which can effectively save water and fertilizer resources. At present, the energy utilization and environmental impact of AIM in rice production are not clear. To clarify whether AIM is a water and fertilizer management measure that combines energy conservation and carbon emission reduction, a comparative study between the widely used farmers’ enhanced water and fertilizer management (FEM) in China and AIM was conducted in this paper. Field experiments were conducted to evaluate the rice yield, carbon emission, energy utilization, and economic benefits of the two management methods. The results showed that AIM reduced water and fertilizer inputs, energy inputs, and economic costs by 12.18–28.57%, compared to FEM. The energy utilization efficiency, energy profitability, and energy productivity under AIM were improved by 11.30–12.61%. CH₄ and N₂O emissions and carbon footprint were reduced by 20.79%, 6.51%, and 16.39%, respectively. Compared with FEM, AIM can effectively improve the utilization efficiency of water and fertilizer resources and reduce carbon emissions. This study presents a mechanized water and fertilizer management approach suitable for large-scale rice production systems in China. By analyzing rice yield, resource utilization efficiency, and environmental benefits, AIM can serve as a crucial management strategy for enhancing productivity, economic returns, and environmental conservation within profitable rice production systems. In the future, further investigation into the impact of AIM on the microbial mechanisms underlying rice yield formation and greenhouse gas emissions is warranted. Full article

(This article belongs to the Topic Input-Output Analysis for Energy and Environmental Systems)

►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

 

Error

Oops... you haven't selected anything for export.

Ok

clear

Displaying articles 1-2