Urbanization and Its Impact on Rural Livelihoods: A Study of Xichang City Administration, Sichuan Province, China

2017 ◽  
Vol 05 (04) ◽  
pp. 1750028 ◽  
Author(s):  
Vishwambhar Prasad SATI ◽  
Wei DENG ◽  
Yafeng LU ◽  
Shaoyao ZHANG ◽  
Jiangjun WAN ◽  
...  
Keyword(s):  
Land Use ◽  
Population Size ◽  
Rural Areas ◽  
Time Series Data ◽  
Urban Expansion ◽  
Rural Livelihoods ◽  
Series Data ◽  
Urban Landscapes ◽  
City Administration ◽  
The Impact

This study examines urbanization in Xichang city administration (XCA) and its implications on rural livelihoods. Time series data on population size and land use (1990–2010) of Xichang city administration were gathered from population censuses and revenue records. The data were analyzed to observe changes in population size and land use/cover during the recorded period. Along with this, a case study of seven villages that are highly influenced by urban expansion in close proximity to Xichang city was carried out. We surveyed 110 households of selected villages using purposive-random sampling method and framed a structured questionnaire on urbanization implications for them. Descriptive statistics, correlation and regression model was employed to analyze the data. From 1990 to 2010, the authors observed an enormous transformation in urban landscapes as the urban area has increased by 14.02[Formula: see text]km2 (111%) and about 20.65[Formula: see text]km2 (16 times) increase in public transit construction land. On the other hand, paddy fields and grasslands of the selected villages have decreased by 16.6[Formula: see text]km2 (4.9%) and 35.43[Formula: see text]km2 (8.4%), respectively. Along with urbanization, out-migration as well as medical and educational facilities has increased while agriculture and livestock activities have decreased. The study suggested that to lessen the impact of urbanization in rural areas, agricultural and its allied practices should be intensified so as to augment employment and reduce out-migration from the rural areas.

scholarly journals DYNAMICS OF SPATIO-TEMPORAL URBAN EXPANSION IN SOUTH WEST DELHI REGION: A GEO-SPATIAL APPROACH FOR URBAN DISASTER MANAGEMENT

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 373-379
Author(s):  
N. Sharma ◽  
A. Kaur ◽  
P. Bose
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Natural Resources ◽  
Land Cover Change ◽  
Rural Areas ◽  
Urban Areas ◽  
Urban Expansion ◽  
Urban Disaster ◽  
Spatio Temporal ◽  
The Impact

<p><strong>Abstract.</strong> Constantly increasing population and up-scaling economic growth has certainly contributed to fast-paced urban expansion, but simultaneously, as a result, has developed immense pressure on our natural resources. Among other unfavorable consequences, this has led to significant changes in the land use and land cover patterns in megacities all across the globe. As the impact of uncontrolled and unplanned development continues to alter life patterns, it has become imperative to study severe problems resulting from rapid development and leading to environmental pollution, disruptions in ecological structures, ever increasing pressure on natural resources and recurring urban disasters This paper presents an approach to address these challenges using geospatial data to study the land use and land cover change and the patterns and processes of urban growth. Spatio-temporal changes in land-use/land-cover were assessed over the years using multi-date high resolution satellite data. The land use classification was conducted using visual image interpretation technique wherein, study area was categorized into five different classes based on NRSC classification system namely agricultural, built-up, urban green (forest), and fallow land and water bodies. Post-classification change detection technique was used for the assessment of land-cover change and transition matrices of urban expansion were developed to quantify the changes. The results show that the city has been expanding majorly in its borders, where land masses have been converted from agriculture based rural areas to urban structures. An increase in the built-up category was observed with the transformation of agricultural and marginal land with an approximate change of 8.62% in the peri-urban areas. Urban areas are becoming more densely populated and open barren lands are converted into urban areas due to over population and migration from the rural areas of Delhi and thus increasing threat towards urban disaster. Conservation and sustainable management of various natural resources is recommended in order to minimize the impact of potential urban disasters.</p>

scholarly journals Financial Sector Innovation and Economic Growth in the Context of Botswana

2016 ◽  
Vol 8 (6) ◽  
pp. 291 ◽  
Author(s):  
Johane Moilwa Motsatsi
Keyword(s):  
Economic Growth ◽  
Rural Areas ◽  
Work Experience ◽  
Time Series Data ◽  
Positive Impact ◽  
Financial Sector ◽  
Series Data ◽  
Business Innovation ◽  
The Impact ◽  
Determinants Of Economic Growth

The objective of this study is to examine the role of financial sector development on economic growth using quarterly time series data for the period 2006-2014. We used Autoregressive Distributed Lag (ARDL) model to estimate the impact of technological innovation (Automated Teller Machines {ATMs} and Electronic Funds Transfer at Point of Sale{EFTPOS}), business innovation (bank deposits and credit to private sector) and other determinants of economic growth (inflation, trade and interest rate) on economic growth. The results show that both the technological and business innovation variables have a positive impact on economic growth. Therefore, policies aimed at promoting more distribution and nationwide spread of ATMs and EFTPOS more particularly in rural areas where they are scarce would boost the growth of the economy. In addition, The Global Competitiveness Report (GCR) asserted that Botswana’s financial market is still undeveloped and fall short to the development level of middle income countries. GCR identified the quality of the education system as the main factor dragging the development of the financial sector down. It is focused more on academic achievement rather than equipping learners with practical skills and work experience that can support the national innovative initiatives.

RURAL INFRASTRUCTURAL DEVELOPMENT AND ECONOMIC GROWTH: A TIME-SERIES EVIDENCE FROM PAKISTAN (1981-2010)

2012 ◽  
Vol 02 (01) ◽  
pp. 51-57
Author(s):  
Rao Ishtiaq Ahmad ◽  
Shahnawaz Malik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Rural Areas ◽  
Time Series Data ◽  
Series Data ◽  
Positive Role ◽  
Data Set ◽  
Infrastructural Development ◽  
The Impact ◽  
Determinants Of Economic Growth

Main purpose of this study is to find out the role of rural infrastructural development on economic growth of Pakistan. It has been hypothesized that rural infrastructural development has significant positive role for enhancement of economic growth. For the purpose of investigation we utilize such a model which may reflect the steady-state equilibrium differences in a Barro-type framework consisting of Solow type sets of variables and allow conditional convergence. On the basis of time series data set of Pakistan from 1981 to 2010, we employ OLS methodology so as to measure the impact of rural infrastructural development on economic growth of Pakistan. In view of limitations regarding categorization of data on regional basis, we use developmental public expenditures in rural areas as a proxy for rural infrastructural development. After analysis, we are of the view that rural infrastructural development has a positive role for economic growth of Pakistan, however, its role has found to be less significant in comparison to capital and labour as determinants of economic growth.

scholarly journals Spatiotemporal Evolution of Urban Expansion Using Landsat Time Series Data and Assessment of Its Influences on Forests

2020 ◽  
Vol 9 (2) ◽  
pp. 64 ◽  
Author(s):  
Meng Zhang ◽  
Huaqiang Du ◽  
Fangjie Mao ◽  
Guomo Zhou ◽  
Xuejian Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Decision Tree ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
Series Data ◽  
Cultivated Land ◽  
The Impact ◽  
C5.0 Decision Tree

Analysis of urban land use dynamics is essential for assessing ecosystem functionalities and climate change impacts. The focus of this study is on monitoring the characteristics of urban expansion in Hang-Jia-Hu and evaluating its influences on forests by applying 30-m multispectral Landsat data and a machine learning algorithm. Firstly, remote sensed images were preprocessed with radiation calibration, atmospheric correction and topographic correction. Then, the C5.0 decision tree was used to establish classification trees and then applied to make land use maps. Finally, spatiotemporal changes were analyzed through dynamic degree and land use transfer matrix. In addition, average land use transfer probability matrix (ATPM) was utilized for the prediction of land use area in the next 20 years. The results show that: (1) C5.0 decision tree performed with precise accuracy in land use classification, with an average total accuracy and kappa coefficient of more than 90.04% and 0.87. (2) During the last 20 years, land use in Hang-Jia-Hu has changed extensively. Urban area expanded from 5.84% in 1995 to 21.32% in 2015, which has brought about enormous impacts on cultivated land, with 198,854 hectares becoming urban, followed by forests with 19,823 hectares. (3) Land use area prediction based on the ATPM revealed that urbanization will continue to expand at the expense of cultivated land, but the impact on the forests will be greater than the past two decades. Rationality of urban land structure distribution is important for economic and social development. Therefore, remotely sensed technology combined with machine learning algorithms is of great significance to the dynamic detection of resources in the process of urbanization.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

Status, Impact, and Factor Determining Rural Non-farm Economy of India: A Review

2020 ◽  
pp. 68-76
Keyword(s):  
Rural Areas ◽  
Present Status ◽  
Economic Activity ◽  
Rural Livelihoods ◽  
Pivotal Role ◽  
Inclusive Development ◽  
Farm Sector ◽  
Income Inequalities ◽  
Review Study ◽  
The Impact

The rural non-farm sector (RNFS) involves a spectrum of economic activity in rural areas and encompasses all rural productive entities other than farm holdings. It has the potential to play a pivotal role in holistic and inclusive development of India’s rural areas by increasing the employment and wages of rural labour, which can reduce income inequalities. The review was carried out in order to explain the present status of RNFE state wise as well as overall to get a comprehensive view on the topic. The review study also focuses to disaggregate RNFE on the basis of gender, size of landholding and castes. Literature depicting the impact of RNFE on rural livelihoods especially in employment and poverty and factors determining it also been compiled to get an overall idea on the study.

A Macroeconomic Analysis of Agricultural Sector in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 18-25
Author(s):  
Isah Funtua Abubakar ◽  
Umar Bambale Ibrahim
Keyword(s):  
Value Chain ◽  
Crop Production ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Size Analysis ◽  
The Real ◽  
Real Gdp ◽  
The Impact

This paper attempts to study the Nigerian agriculture industry as a panacea to growth as well as an anchor to the diversification agenda of the present government. To do this, the time series data of the four agriculture subsectors of crop production, livestock, forestry and fishery were analysed as stimulus to the Real GDP from 1981-2016 in order to explicate the individual contributions of the subsectors to the RGDP in order to guide the policy thrust on diversification. Using the Johansen approach to cointegration, all the variables were found to be cointegrated. With the exception of the forestry subsector, all the three subsectors were seen to have impacted on the real GDP at varying degrees during the time under review. The crop production subsector has the highest impact, however, taking size-by-size analysis, the livestock subsector could be of much importance due to its ability to retain its value chain and high investment returns particularly in poultry. Therefore, it is recommended that, the government should intensify efforts to retain the value chain in the crop production subsector, in order to harness its potentials optimally through the encouragement of the establishment of agriculture cottage industries. Secondly, the livestock subsector is found to be the most rapidly growing and commercialized subsector. Therefore, it should be the prime subsector to hinge the diversification agenda naturally. Lastly, the tourism industry which is a source through which the impact of the subsector is channeled to the GDP should be developed, in order to improve the impact of such channel to GDP with the sole objective to resuscitate the forestry subsector.

The Effects of Oil Prices Changes on Output Growth and Inflation: Evidence from Turkey

2013 ◽  
Vol 5 (11) ◽  
pp. 730-739 ◽  
Author(s):  
Pelin ÖGE GÜNEY
Keyword(s):  
Time Series Data ◽  
Output Growth ◽  
Oil Price ◽  
Series Data ◽  
Negative Effects ◽  
Price Changes ◽  
Asymmetric Effects ◽  
Price Increases ◽  
Causality Tests ◽  
The Impact

This paper investigates the effects of oil price changes on output and inflation for the case of Turkey using monthly time series data for the period 1990:1–2012:3. Recent studies suggest that oil price changes may have asymmetric effects on the macroeconomic variables. To account for asymmetric effects, we decompose oil price changes into positive and negative parts following Hamilton (1996). Our results show that while oil price increases have clear negative effects on output growth, the impact of oil price decline is insignificant. Similarly, oil price increases have positive and significant effects on inflation. However, oil price declines have not a significant effect on inflation. The Granger causality tests also support these results.

Does Tax Increment Financing Pass the “But-for” Test in Missouri?

2019 ◽  
Vol 33 (3) ◽  
pp. 187-202
Author(s):  
Ahmed Rachid El-Khattabi ◽  
T. William Lester
Keyword(s):  
Economic Development ◽  
Kansas City ◽  
Time Series Data ◽  
Local Level ◽  
Conclusive Evidence ◽  
Series Data ◽  
Tax Increment Financing ◽  
Data Set ◽  
Development Indicators ◽  
The Impact

The use of tax increment financing (TIF) remains a popular, yet highly controversial, tool among policy makers in their efforts to promote economic development. This study conducts a comprehensive assessment of the effectiveness of Missouri’s TIF program, specifically in Kansas City and St. Louis, in creating economic opportunities. We build a time-series data set starting 1990 through 2012 of detailed employment levels, establishment counts, and sales at the census block-group level to run a set of difference-in-differences with matching estimates for the impact of TIF at the local level. Although we analyze the impact of TIF on a wide set of indicators and across various industry sectors, we find no conclusive evidence that the TIF program in either city has a causal impact on key economic development indicators.

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