National water footprint in an input–output framework—A case study of China 2002

2009 ◽  
Vol 220 (2) ◽  
pp. 245-253 ◽  
Author(s):  
X. Zhao ◽  
B. Chen ◽  
Z.F. Yang
2021 ◽  
Vol 60 (4) ◽  
pp. 3577-3585
Author(s):  
Mohamed ElFetyany ◽  
Hanan Farag ◽  
Samah H. Abd El Ghany

2021 ◽  
Vol 122 ◽  
pp. 107319
Author(s):  
Wei Chen ◽  
Jinglan Hong ◽  
Chengxin Wang ◽  
Lu Sun ◽  
Tianzuo Zhang ◽  
...  

Author(s):  
Jorge Salgado ◽  
José Ramírez-Álvarez ◽  
Diego Mancheno

AbstractThe 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for productive exchanges and the accumulation of capital in Ecuador. This study addressed one of these challenges with an innovative ex ante model to measure the partial and net short-term effects of a natural hazard-related catastrophe from an interregional perspective, with the 16 April 2016 earthquake serving as a case study. In general, the specified and estimated model follows the approach of the extended Miyazawa model, which endogenizes consumption demand in a standard input–output model with the subnational interrelations and resulting multipliers. Due to the country’s limitations in its regional account records the input–output matrices for each province of Ecuador had to be estimated, which then allowed transactions carried out between any two sectors within or outside a given province to be identified by means of the RAS method. The estimations provide evidence that the net short-term impact on the national accounts was not significant, and under some of the simulated scenarios, based on the official information with respect to earthquake management, the impact may even have had a positive effect on the growth of the national product during 2016.


Author(s):  
Andrés Artal-Tur ◽  
José María Gómez-Fuster ◽  
José Miguel Navarro-Azorín ◽  
José María Ramos-Parreño
Keyword(s):  

2021 ◽  
Author(s):  
Rui Huang ◽  
Arunima Malik ◽  
Manfred Lenzen ◽  
Yutong Jin ◽  
Yafei Wang ◽  
...  

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.


2010 ◽  
Vol 18 (16-17) ◽  
pp. 1714-1721 ◽  
Author(s):  
B.G. Ridoutt ◽  
P. Juliano ◽  
P. Sanguansri ◽  
J. Sellahewa
Keyword(s):  

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