scholarly journals Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China

2020 ◽  
Vol 12 (18) ◽  
pp. 7423 ◽  
Author(s):  
Shichun Xu ◽  
Yiwen Li ◽  
Yuan Tao ◽  
Yan Wang ◽  
Yunfan Li
Keyword(s):  
Economic Growth ◽  
Regional Differences ◽  
Central Area ◽  
State Level ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Eastern Area ◽  
Western Area ◽  
The Difference ◽  
Surrounding Areas

This study uses the undesirable output and super-efficiency slacks-based measure combined with window (WIN-US-SBM) data envelopment analysis (DEA) to evaluate the environmental efficiency (EE) in 30 Chinese provinces, from 2005 to 2016, explores regional differences in the EE, and uses the dynamic spatial Durbin model (DSDM) to analyze regional differences in effects of important factors on the convergence of EE. It reveals that EE in the eastern area is higher than EE in the central and western areas, and a positive spatial autocorrelation exists in the interregional EE. The difference in provincial EE gradually narrows over time and tends to converge to its own steady-state level. Economic growth reduces EE for the central and western areas and improves efficiency for the eastern area; economic growth from surrounding areas indirectly promotes local EE for the eastern area. Foreign direct investment (FDI) promotes EE in the eastern and central areas, and FDI in the adjacent areas has a positive effect on local EE for the eastern area. Export reduces EE for all areas, and export in surrounding areas indirectly promotes local EE for the central area. Industrialization reduces EE in the western area, and industrialization in the surrounding areas increases local EE for the eastern area. Energy efficiency promotes EE for the central area, urbanization increases EE for the central area, and urbanization of the surrounding areas reduces local EE for the eastern area.

scholarly journals Sustainability Governance in China: An Analysis of Regional Ecological Efficiency

2019 ◽  
Vol 11 (7) ◽  
pp. 1958 ◽  
Author(s):  
Xiangxiang Sun ◽  
Lawrence Loh
Keyword(s):  
Inner Mongolia ◽  
Central Area ◽  
Ecological Environment ◽  
Chinese Government ◽  
Data Envelopment ◽  
Ecological Efficiency ◽  
Eastern Area ◽  
Sulfur Dioxide Emissions ◽  
Sustainability Governance ◽  
Ecological Governance

The Chinese government is committed to sustainability governance to alleviate the shortage of energy and the imbalance between ecological environment and economic development. This paper evaluates and analyzes the sustainability governance performance of China. A bootstrap data envelopment analysis (DEA) is proposed to evaluate sustainability governance performance of 30 provinces based on ecological efficiency in China from 1998 to 2015. The results indicate that the ecological efficiency of China significantly improved as a whole, which is related to the decline in sulfur dioxide emissions. Among these provinces, Jiangsu, Liaoning, and Inner Mongolia exhibited the highest values, while Gansu, Chongqing, and Sichuan had the lowest values. The 30 provinces were divided into four sub-areas. The average ecological efficiency of the eastern area was the highest, followed by the northeast area. Compared to the east area, northeast area, and central area, we find that west area obviously falls behind. As such, the results provide helpful guidance to improve ecological governance performance.

scholarly journals Wavelet transform analysis of reference crop evapotranspiration during the growing season in three typical regions of Inner Mongolia, China

2017 ◽  
Vol 8 (3) ◽  
pp. 474-483
Author(s):  
Ruiping Li ◽  
Haibin Shi ◽  
Chunxia Zou ◽  
Shouzhong Hu
Keyword(s):  
Inner Mongolia ◽  
Potential Evapotranspiration ◽  
Central Area ◽  
Growing Season ◽  
Geographic Region ◽  
Wave Period ◽  
Eastern Area ◽  
Western Area ◽  
Data Driven Approach ◽  
Inner Mongolia Autonomous Region

Management and scheduling of irrigation water requires consideration of evapotranspiration, one of the most important hydrological variables. This study investigates the variations in the daily potential evapotranspiration (ET0), and its aerodynamic (ETa) and radiometric (ETr) components in three areas (western, central and eastern) of the Inner Mongolia Autonomous Region (IMAR) during the growing season (April–September, 2007). In this study, a data-driven approach was followed, and the wavelet transformation analysis method was used to investigate the evapotranspiration characteristics of a relatively large geographic region. The results show that there are close correlations in the variations of ET0 with those of ETa and ETr. For the western area of the IMAR, the timing of the largest ETa is 1 month earlier and its wave period is 10 days shorter than those of ET0 and ETr. For the central area, the wave period of ETa is 20 days shorter, and the timing of the largest ETa is approximately 1 month earlier than those of ET0 and ETr. For the eastern area, there are two large fluctuations in ETa, and they occur 1 month earlier than those of ET0.

Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability

2018 ◽  
Vol 29 (5) ◽  
pp. 664-684 ◽  
Author(s):  
Qingyou Yan ◽  
Xu Wang ◽  
Tomas Baležentis ◽  
Dalia Streimikiene
Keyword(s):  
Data Envelopment Analysis ◽  
Central Area ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Eastern Area ◽  
Dea Models ◽  
Energy Economy

This paper presents a modified environmental production technology which imposes the proper disposability on the undesirable outputs depending on the underlying technical properties. Then, aggregate and disaggregate (Russell-type) data envelopment analysis (DEA) models are proposed to evaluate the energy–economy–environment (3E) efficiency based on the modified technology (hereafter referred to as the 3E-DEA models). The non-radial Malmquist productivity index is adapted to model the changes in the 3E productivity over time. A case study of 3E efficiency analysis for the 30 Chinese administrative regions during 2011–2013 is presented. In general, Chinese regions did not perform well in terms of 3E goals as only three of them exhibited full efficiency. It was also found out that the eastern area showed the best 3E performance, whereas the central area followed suit, thus putting the western area at end of ranking. Still, some regions in the eastern area showed 3E efficiencies lower than those of some cities in the central and eastern areas. Anyway, most of the regions showed improving 3E productivity during 2011–2013.

scholarly journals Climate Drives Environmental Efficiency Across Chinese Provinces

2019 ◽  
Vol 12 ◽  
pp. 194008291987326
Author(s):  
Bin Zhang ◽  
Shijing Ye ◽  
Wei Wang ◽  
Feihua Huang ◽  
Yan He
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Mainland China ◽  
Temperate Zone ◽  
Environmental Efficiency ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Policy Measures

Balancing economic growth and environmental pollution is essential for the sustainable development of Mainland China. To address this issue, this study applied an improved data envelopment analysis model to evaluate the environmental efficiency of 29 provinces in Mainland China from 2006 to 2016. The study divided the 29 provinces into two groups: the subtropical and tropical zones and the temperate zone. The study then compared the differences in environmental efficiency between the two groups. The results indicate that the overall environmental efficiency of the provinces in Mainland China increased significantly from 2006 to 2016; however, there remained significant potential for improvement. In particular, the environmental efficiency is significantly lower in the temperate zone compared with the subtropical and tropical zones. As Mainland China’s population is increasingly moving to coastal areas in the subtropical and tropical zones, each province should adopt targeted policy measures to improve its environmental efficiency based on its industrial and population conditions.

Granger Causality Test between Oil Consumption and Gross Domestic Product of China Based on the Provincial Panel Data Analysis

2012 ◽  
Vol 209-211 ◽  
pp. 1643-1646
Author(s):  
Yan Hong Li
Keyword(s):  
Energy Consumption ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Central Area ◽  
Granger Causality Test ◽  
Oil Consumption ◽  
Causality Test ◽  
Eastern Area ◽  
Western Area ◽  
Heterogeneous Panel

This paper, based on the Provincial Panel Data of 30 provinces during 1995~2010 period, applies the panel unit root, heterogeneous panel co-integration and panel based error correction models to re-investigate co-movement and the causality between oil consumption and GDP. The results show that there is one-way directional causality from energy consumption to GDP in the western area, and one-way causality from GDP to energy consumption in the central area, while no causality between energy consumption and GDP exists in the eastern area.

Inter-country inequality as a dynamic process and the problem of post-industrial development

2018 ◽  
pp. 5-29 ◽  
Author(s):  
L. M. Grigoryev ◽  
V. A. Pavlyushina
Keyword(s):  
Economic Growth ◽  
Political Institutions ◽  
Industrial Development ◽  
Modern World ◽  
New Approach ◽  
Development Level ◽  
The World ◽  
Long Time ◽  
The Difference ◽  
Post Industrial

The phenomenon of economic growth is studied by economists and statisticians in various aspects for a long time. Economic theory is devoted to assessing factors of growth in the tradition of R. Solow, R. Barrow, W. Easterly and others. During the last quarter of the century, however, the institutionalists, namely D. North, D. Wallis, B. Weingast as well as D. Acemoglu and J. Robinson, have shown the complexity of the problem of development on the part of socioeconomic and political institutions. As a result, solving the problem of how economic growth affects inequality between countries has proved extremely difficult. The modern world is very diverse in terms of development level, and the article offers a new approach to the formation of the idea of stylized facts using cluster analysis. The existing statistics allows to estimate on a unified basis the level of GDP production by 174 countries of the world for 1992—2016. The article presents a structured picture of the world: the distribution of countries in seven clusters, different in levels of development. During the period under review, there was a strong per capita GDP growth in PPP in the middle of the distribution, poverty in various countries declined markedly. At the same time, in 1992—2016, the difference increased not only between rich and poor groups of countries, but also between clusters.

Variations in economic growth across states in Malaysia: an exploratory analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusniliyana Yusof ◽  
Kaliappa Kalirajan
Keyword(s):  
Economic Growth ◽  
Socioeconomic Development ◽  
Secondary Data ◽  
State Level ◽  
Bootstrap Sampling ◽  
Content Type ◽  
Estimation Techniques ◽  
Development Index ◽  
Three Stage Least Squares ◽  
Development Gap

PurposeThe study contributes to the aim of regional development policy in reducing regional disparities, by examining the spatial balance in socioeconomic development across the states of Malaysia based on composite development index (CDI). Besides, the study has attempted to understand the issues in the development gaps across Malaysian states by evaluating the factors that explain the variation in economic growthDesign/methodology/approachThis study uses three-stage least squares (3SLS) and bootstrap sampling and estimation techniques to examine the factors that explain the variations in the growth of development across the states in Malaysia. The analysis involves 13 states in Malaysia (Johor, Melaka, Negeri Sembilan, Pulau Pinang, Perak, Perlis, Selangor, Kedah, Kelantan, Pahang, Terengganu, Sabah and Sarawak) from 2005 to 2015.FindingsThe pattern in the spatial socioeconomic imbalance demonstrates a decreasing trend. However, the development index reveals that the performance of less developed states remained behind that of the developed states. The significant factors in explaining the variation in growth across the Malaysian states are relating to agriculture, manufacturing, human capital, population growth, Chinese ethnicity, institutional factors and natural resources.Research limitations/implicationsThe authors focused on Malaysian states over the period between 2005 and 2015. The authors encountered some limitations in obtaining relevant data such as international factors and technological change that might also explain the variation in economic growth as the data on these variables are not reported at the state level. Moreover, the data on GSDP by sector was only available from the year 2005. Second, the study is based on secondary data. Future studies might examine the factors that contribute to the development gap across Malaysian states through interviews or questionnaires and compare the findings with the existing results. Despite its limitations, this study contributes to the existing literature that emphasizes on spatial balance of socioeconomic in a developing country, focusing on Malaysian states.Practical implicationsThese findings provide guidance for policymakers by understanding key potential areas to reduce the disparity in economic growth across Malaysian states by understanding their impact on the growth.Originality/valueThis study employs different method of 3SLS and bootstrap sampling and estimation techniques in examining the factors that explain the variations in the growth of development across the states in Malaysia.

scholarly journals Regional differences in mortality rates during the COVID-19 epidemic in Italy

2020 ◽  
pp. 1-22
Author(s):  
Danila Azzolina ◽  
Giulia Lorenzoni ◽  
Luciano Silvestri ◽  
Ilaria Prosepe ◽  
Paola Berchialla ◽  
...  
Keyword(s):  
Regional Differences ◽  
Southern Italy ◽  
Meta Analysis ◽  
Analysis Data ◽  
Mortality Rates ◽  
Northern Italy ◽  
Admission Rates ◽  
Considerable Impact ◽  
The Difference ◽  
Disease Diffusion

Abstract Objective The COVID-19 outbreak started in Italy on February 20th, 2020, and has resulted in many deaths and intensive care unit (ICU) admissions. This study aimed to illustrate the epidemic COVID-19 growth pattern in Italy by considering the regional differences in disease diffusion during the first three months of the epidemic. Study design and methods Official COVID-19 data were obtained from the Italian Civil Protection Department of the Council of Ministers Presidency. The mortality and ICU admission rates per 100 000 inhabitants were calculated at the regional level and summarized via a Bayesian multilevel meta-analysis. Data were retrieved until April 21st, 2020. Results The highest cumulative mortality rates per 100 000 inhabitants were observed in northern Italy, particularly in Lombardia (85.3, 95% credibility intervals [CI] 75.7–94.7). The difference in the mortality rates between northern and southern Italy increased over time, reaching a difference of 67.72 (95% CI = 66–67) cases on April 2nd. Conclusions Northern Italy showed higher and increasing mortality rates during the first three months of the epidemic. The uncontrolled virus circulation preceding the infection spreading in southern Italy had a considerable impact on system burnout. This experience demonstrates that preparedness against the pandemic is of crucial importance to contain its disruptive effects.

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