scholarly journals An Empirical Study of the Impact of Urbanization on Industry Water Footprint in China

2020 ◽  
Vol 12 (6) ◽  
pp. 2263
Author(s):  
Daxue Kan ◽  
Weichiao Huang
Keyword(s):  
Service Industry ◽  
Water Footprint ◽  
Generalized Method Of Moments ◽  
Virtual Water ◽  
Eastern Region ◽  
Industrial Water ◽  
Agricultural Water ◽  
Gray Water ◽  
Impact Of Urbanization ◽  
The Impact

How to advance new urbanization initiatives and reduce the water footprint of industries is one urgent issue about urbanization that needs to be resolved. Based on spatial dynamic panel data, we used the system GMM (Generalized Method of Moments) to study the impact of urbanization on the industrial water footprint. The results show that, overall, urbanization increases the industrial water footprint, industrial virtual water footprint, and industrial gray water footprint in China. There are sectoral and regional differences in the impact of urbanization. Specifically, urbanization reduces the agricultural water footprint and agricultural virtual water footprint but raises the agricultural gray water footprint. Urbanization increases the manufacturing water footprint, manufacturing virtual water footprint, and gray water footprint. Urbanization reduces the virtual water footprint of the service industry but increases the water footprint and gray water footprint in the service industry. At the regional level, urbanization increases the industrial water footprint and gray water footprint across the three major regions. In the eastern region, urbanization has little effect on increasing the industrial water footprint, and reduces the industrial virtual water footprint, whereas in the central and western regions urbanization increases the industrial virtual water footprint. In all three regions, urbanization reduces the agricultural water footprint, increases the manufacturing and service water footprints, reduces the virtual water footprints of agriculture and services, and increases the gray water footprint of agriculture, manufacturing, and services. In the eastern region, the reducing effect of urbanization is the greatest and the increasing effect of urbanization is the smallest. Additionally, in the eastern region, urbanization has reduced the virtual water footprint of manufacturing, whereas in the central and western regions urbanization has increased the virtual water footprint of manufacturing.

scholarly journals COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

2020 ◽  
Vol 17 (24) ◽  
pp. 9577
Author(s):  
Wenyi Yang ◽  
Xueli Wang ◽  
Keke Zhang ◽  
Zikan Ke
Keyword(s):  
Rapid Development ◽  
Generalized Method Of Moments ◽  
Economic Recovery ◽  
Population Mobility ◽  
Economic Resilience ◽  
Economic Resource ◽  
Large Cities ◽  
Impact Of Urbanization ◽  
The One ◽  
The Impact

In the context of the rapid development of urbanization and increasing population mobility in China, the outbreak of COVID-19 has had a significant impact on China’s economy and society. This article uses China UnionPay transaction data and takes Hubei, the worst-hit region by COVID-19 in China, as an example, to conduct empirical analysis using the generalized method of moments (GMM) of the impact of current urbanization patterns on the spread of the epidemic and economic recovery from the perspectives of time, industry, and regional differences. The study found that during the different stages of COVID-19, including discovery, outbreak, and subsidence, the overall impact of urbanization on the economy in Hubei Province was first positive, then became negative, and finally gradually increased. This process had significant industrial and urban heterogeneity, which was mainly manifested in losses in tourism and catering industries that were significantly greater than those in the audio-visual entertainment and digital office industries. Similarly, the recovery speed of large cities was lower than that of small and medium-sized cities. The main reason for these differences is that the one-sided problem of urbanization is more obvious in areas with higher urbanization rates. COVID-19 has drawn attention to the development of urbanization in the future, that is, the development path of one-sided economic resource agglomeration and scale expansion should be abandoned, with greater attention paid to the improvement of service functions and the development of amenities. This transformation is necessary to enhance urban economic resilience and reduce public health risks.

The impact of urbanization on energy consumption and efficiency

2017 ◽  
Vol 28 (7) ◽  
pp. 673-686 ◽  
Author(s):  
Pengfei Sheng ◽  
Yaping He ◽  
Xiaohui Guo
Keyword(s):  
Energy Consumption ◽  
Method Of Moments ◽  
Energy Use ◽  
Generalized Method Of Moments ◽  
Method Of Moments Estimation ◽  
Process Of Urbanization ◽  
Per Capita ◽  
Using Data ◽  
Impact Of Urbanization ◽  
The Impact

There is no consensus about the impact of urbanization on energy efficiency. We seek to fill this gap in literature using data from 78 countries for the period of 1995 through 2012. Extending the Stochastic Impacts by Regression on Population, Affluence, and Technology model, we identify the impact of urbanization on energy consumption and efficiency. Results of generalized method of moments estimation indicate that the process of urbanization leads to substantial increases in both the actual and the optimal energy consumption, but a decrease in efficiency of energy use. In addition, we find that the extent to which energy inefficiency correlates with urbanization is greater in countries with higher gross domestic product per capita.

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

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.

scholarly journals Assessment of Main Cereal Crop Trade Impacts on Water and Land Security in Iraq

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 98 ◽  
Author(s):  
Salam Hussein Ewaid ◽  
Salwan Ali Abed ◽  
Nadhir Al-Ansari
Keyword(s):  
Water Resource Management ◽  
Management Practices ◽  
Water Footprint ◽  
Irrigation Management ◽  
Virtual Water ◽  
Cereal Crops ◽  
Scarce Water ◽  
The Impact ◽  
Selection Of ◽  
Resources Assessment

Growing populations, socio-economic development, the pollution of rivers, and the withdrawal of fresh water are all signs of increasing water scarcity, and with 85% of global use, agriculture is the biggest freshwater user. The water footprint (WF) and virtual water (VW) are concepts used recently for freshwater resources assessment. The WF reflects how much, when and where the water was used whereas VW reveals the volume of water embedded in goods when traded. The first goal of this research is to determine the WF per ton and the WF of production (Mm3/yr) of wheat, barley, rice, and maize in Iraq. The second goal is estimating the quantities of the 4 main cereal crops imported into Iraq and assessing the impact on reducing WF and land savings for 10 years from 2007 to 2016. The results showed that the WF per ton was 1736, 1769, 3694, 2238 m3/ton and the WF of production was 5271, 1475, 997, 820 Mm3/yr for wheat, barley, rice, and maize, respectively. The median total VW imported was 4408 Mm3/yr, the largest volume was 3478 Mm3/yr from wheat, and Iraq saved about 2676 Mm3 of irrigated water and 1,239,539 M ha of land by importing crops every year during 2007–2016. The study revealed the significance of better irrigation management methods to decrease the WF through a selection of crops that need less water and cultivation in rain-fed areas, as well as the use of cereal import to conserve scarce water resources, which is crucial both in terms of water resource management and preservation of the environment. The results of this research could be used as a guideline for better water management practices in Iraq and can provide helpful data for both stakeholders and policymakers.

Impact of changing cropping pattern on the regional agricultural water productivity

2014 ◽  
Vol 153 (5) ◽  
pp. 767-778 ◽  
Author(s):  
S. K. SUN ◽  
P. T. WU ◽  
Y. B. WANG ◽  
X. N. ZHAO
Keyword(s):  
Water Scarcity ◽  
Crop Production ◽  
Water Footprint ◽  
Water Productivity ◽  
Irrigation District ◽  
Cropping Pattern ◽  
Agricultural Water ◽  
Cropping Patterns ◽  
Cash Crops ◽  
The Impact

SUMMARYWater scarcity is a major constraint of agricultural production in arid and semi-arid areas. In the face of future water scarcity, one possible way the agricultural sector could be adapted is to change cropping patterns and make adjustments for available water resources for irrigation. The present paper analyses the temporal evolution of cropping pattern from 1960 to 2008 in the Hetao Irrigation District (HID), China. The impact of changing cropping patterns on regional agricultural water productivity is evaluated from the water footprint (WF) perspective. Results show that the area under cash crops (e.g. sunflower and melon) has risen phenomenally over the study period because of increased economic returns pursued by farmers. Most of these cash crops have a smaller WF (high water productivity) than grain crops in HID. With the increase of area sown to cash crops, water productivity in HID increased substantially. Changing the cropping pattern has significant effects on regional crop water productivity: in this way, HID has increased the total crop production without increasing significantly the regional water consumption. The results of this case study indicate that regional agricultural water can be used effectively by properly planning crop areas and patterns under irrigation water limitations. However, there is a need to foster a cropping pattern that is multifunctional and sustainable, which can guarantee food security, enhance natural resource use and provide stable and high returns to farmers.

scholarly journals Relationships between urbanization and CO2 emissions in China: An empirical analysis of population migration

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256335
Author(s):  
Tengfei Zhang ◽  
Yang Song ◽  
Jun Yang
Keyword(s):  
Threshold Model ◽  
Generalized Method Of Moments ◽  
Practical Significance ◽  
Population Migration ◽  
Ecological Modernization ◽  
Marginal Effect ◽  
Resident Population ◽  
Positive Effects ◽  
Impact Of Urbanization ◽  
The Impact

China’s announcement of its goal of carbon neutrality has increased the practical significance of research on carbon dioxide (CO2) emissions that result from urbanization. With a comprehensive consideration of population migration in China, this study examines the impact of urbanization on CO2 emissions based on provincial panel data from 2000 to 2012. Two indicators (resident population and household registration population) are used to measure urbanization rate. The results reveal that the impact of urbanization on CO2 emissions in China is closely correlated with the structure of urban resident population and interregional population migration. The estimation results are still robust by using generalized method of moments (GMM) estimator and two-stage least squares (2SLS) estimator. The proportion of temporary residents is introduced as a proxy variable for population migration. The panel threshold model regression results show that the proportion of temporary residents has a marginal effect on the relationship between urbanization and CO2 emissions. In regions with a higher proportion of temporary residents, the positive effects of resident population urbanization on CO2 emissions tend to be weaker. These findings are consistent with the theories of ecological modernization and urban environmental transition. This paper makes suggestions on China’s urbanization development model and countermeasures are proposed to minimize the CO2 emissions caused by urbanization.

scholarly journals Whether Urbanization Has Intensified the Spread of Infectious Diseases—Renewed Question by the COVID-19 Pandemic

2021 ◽  
Vol 9 ◽  
Author(s):  
Dongsheng Yu ◽  
Xiaoping Li ◽  
Juanjuan Yu ◽  
Xunpeng Shi ◽  
Pei Liu ◽  
...  
Keyword(s):  
Urban Education ◽  
Infectious Diseases ◽  
Generalized Method Of Moments ◽  
Population Increase ◽  
Regional Heterogeneity ◽  
Impact Of Urbanization ◽  
And Control ◽  
Population Urbanization ◽  
The Impact ◽  
The Relationship

The outbreak of the COVID-19 epidemic has triggered adiscussion of the relationship between urbanization and the spread of infectious diseases. Namely, whether urbanization will exacerbate the spread of infectious diseases. Based on 31 provincial data from 2002 to 2018 in China, the impact of urbanization on the spread of infectious diseases from the dimensions of “population” and “land” is analyzed in this paper by using the GMM (generalized method of moments) model. The empirical study shows that the population increase brought by urbanization does not aggravate the spread of infectious diseases. On the contrary, urban education, employment and entrepreneurship, housing, medical and health care, and other basic public services brought by population urbanization can help reduce the risk of the spread of infectious diseases. The increasing density of buildings caused by land urbanization increases the risk of the spread of infectious diseases. Moreover, the impact of urbanization on the spread of infectious diseases has regional heterogeneity. Therefore, the prevention and control of disease play a crucial role.

scholarly journals Urbanization, Industrialization and Inequalities in Africa: does threshold matter?

2021 ◽  
Vol 9 (08) ◽  
pp. 2337-2352
Author(s):  
Bruno Emmanuel ONGO NKOA ◽  
Richard ZOGO EKASSI ◽  
Jaques Simon Song
Keyword(s):  
Regression Model ◽  
Data Model ◽  
Generalized Method Of Moments ◽  
Smooth Transition ◽  
African Countries ◽  
Smooth Transition Regression ◽  
Different Dimensions ◽  
Impact Of Urbanization ◽  
Smooth Transition Regression Model ◽  
The Impact

This paper examines the impact of urbanization and industrialization on observed inequalities in a sample of 48 African countries. We specify and estimate a panel data model using the Generalized Method of Moments-System (GMM-S) over the period 1980-2016 along the different dimensions of inequality. Our results show that urbanization increases income, environmental and housing inequalities in Africa, while industrialization reduces them. Our results remain robust with the use of Panel Smooth Transition Regression Model (PSTR) and Panel Transition Regression Model (PTR). We suggest taking into account the disparities identified in the inclusive urbanization and industrialization policies of African cities.

URBANIZATION AND RURAL–URBAN CONSUMPTION DISPARITY: EVIDENCE FROM CHINA

2019 ◽  
Vol 64 (04) ◽  
pp. 983-996 ◽  
Author(s):  
JING LI ◽  
TSUN SE CHEONG ◽  
JIANFA SHEN ◽  
DAHAI FU
Keyword(s):  
Development Strategy ◽  
Industrial Structure ◽  
Generalized Method Of Moments ◽  
Urban Inequality ◽  
Research Gap ◽  
Urbanization Development ◽  
Impact Of Urbanization ◽  
Regional Product ◽  
Urban Consumption ◽  
The Impact

The objective of this paper is to investigate the impacts of urbanization on influencing the rural–urban consumption disparity in China, a research gap which has not been bridged so far. Adopting a provincial dataset from 1997 to 2014, a generalized method of moments (GMM) estimator is employed to reveal the impact of urbanization on the ratio of per capita consumption expenditure of the urban households to the rural households, along with other socioeconomic variables. Empirical results show salient relationship between increasing urbanization ratio and declining rural–urban inequality. Significant impact of education costs on increasing the rural–urban inequality is also observed. Other factors that increase the disparity include foreign investment and gross regional product (GRP) indices. Industrial structure, costs of housing and health care are insignificant factors. The results of this study help in understanding China’s new urbanization development strategy in a better way.

HOW URBANIZATION AFFECTS ENERGY-ENVIRONMENT EFFICIENCY: EVIDENCE FROM CHINA

2020 ◽  
Vol 65 (06) ◽  
pp. 1401-1422
Author(s):  
YUFENG CHEN ◽  
ZHITAO ZHU ◽  
XI YU
Keyword(s):  
Energy Consumption ◽  
Negative Impact ◽  
Positive Impact ◽  
Environmental Efficiency ◽  
Eastern Region ◽  
Energy And Environment ◽  
Energy Environment ◽  
Positive Externality ◽  
Impact Of Urbanization ◽  
The Impact

Energy consumption and environmental pollution are along with urban sprawling, while the impact of urbanization on energy and environment is quite controversial. The study of urbanization and energy-environmental efficiency provides a new perspective to understand the correlation between urbanization, energy consumption and environment. In this paper, a Directional Distance Function-Data Envelopment Analysis (DDF-DEA) model is employed to investigate provincial energy-environment efficiency in China from 1999 to 2017. Then the mechanism of urbanization substantially affecting the energy-environment efficiency is empirically examined from the perspective of government and market, respectively. The results indicate that China’s energy-environmental efficiency is improving, but regional differences exist and have widened since 2005; the overall impact of urbanization on China’s energy-environment efficiency is negative while the mechanism differs between different regions. Specifically, government-dominated urbanization has promoted energy-environment efficiency in the eastern region, while has a negative impact in the central and western regions; market-led urbanization has a limited positive impact on energy-environment efficiency. These conclusions proved to be robust, and are of great significance for policymakers to take full use of the positive externality of urbanization to promote the energy-environment efficiency and improve the environment.

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