scholarly journals A more complete picture: Rural residents’ relative support for seven forms of natural resource related economic development

2019 ◽  
Author(s):  
Tom Mueller ◽  
Ann R. Tickamyer
Keyword(s):  
Economic Development ◽  
Social Exchange ◽  
Natural Resource ◽  
Fixed Effects ◽  
Outdoor Recreation ◽  
Stated Preference ◽  
Mixed Logit ◽  
Rural Sociology ◽  
Rural Resident ◽  
General Support

Understanding rural resident support for various forms of natural resource related economic development has been a common research topic in rural sociology. However, the vast majority of research has only evaluated support for one form of natural resource use at a time. The little research that has explored support for a wide variety of uses has found that residents are likely to support many of the suggested forms of development. We assessed rural resident support for seven forms of natural resource development: commercial logging, natural gas, mining, real estate, wind energy, tourism, and outdoor recreation. Using social exchange theory, this study examines the influence of perceived impacts of development, industry trust, and perceived industry power on general support for the seven forms of natural resource-related economic development using a fixed effects generalized linear model among a sample of residents of rural Pennsylvania communities. Additionally, we use mixed logit discreet choice modeling to evaluate the drivers of relative support, meaning a stated preference for one form of development over other possible options. The drivers of general support and relative support were similar, with trust in industry and impacts to quality of life emerging as the primary drivers of both.

scholarly journals Impact of Demographic Structure on Economic Development of Ukrainian Coastal Regions

2021 ◽  
Vol 13 (4) ◽  
pp. 1798
Author(s):  
Patrik Rovný ◽  
Serhiy Moroz ◽  
Jozef Palkovič ◽  
Elena Horská
Keyword(s):  
Economic Development ◽  
Fixed Effects ◽  
The Black Sea ◽  
Demographic Structure ◽  
Coastal Regions ◽  
Azov Sea ◽  
Economic State ◽  
Demographic Shifts ◽  
The Impact ◽  
Conflict Period

The main aim of our paper is to study peculiarities of two periods, i.e., the pre-conflict period (2004–2013) and conflict period (2014–2018), in the context of the impact of the demographic structure of the population on the economic growth and development of coastal regions of Ukraine. In the first step of the analysis, we investigate the relationship between the demographic shifts and selected economic indicators, using the Pearson’s correlation coefficient. In the next step of the analysis, we focus on the quantification of the impact of demographic indicators on the economic variables, based on the panel model with fixed effects. The received results confirm that the influence of the demographic stricture on the economic state of coastal regions changed significantly in the conflict period in comparison with the pre-conflict period, especially concerning income, unemployment, and the openness of the economy. Additionally, our findings show that while economic differences existed between the Azov Sea regions and the Black Sea regions in the pre-conflict period, they disappeared due to the economic deterioration of the Azov Sea regions during the conflict period. It is concluded that war affects adversely the population’s demographic structure, which inhibits the growth and economic development of Ukrainian coastal regions.

scholarly journals Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment

2021 ◽  
Vol 13 (14) ◽  
pp. 7725
Author(s):  
Reema Bera ◽  
Bhargab Maitra
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Stated Preference ◽  
Mixed Logit ◽  
Road Transport ◽  
Home Based ◽  
Urban India ◽  
Choice Decision ◽  
The Mean ◽  
Hybrid Electric

Plug-in Hybrid Electric Vehicles (PHEVs) can help decarbonize road transport in urban India. To accelerate the diffusion of PHEVs, investigation of commuter preferences towards the attributes of PHEVs is necessary. Therefore, the present study analyzes prospective owners’ choice decisions towards PHEVs in a typical Indian context. A stated preference survey was designed to collect responses from the current owners of conventional vehicles (CVs) in Delhi, India, and Mixed Logit (ML) models were developed to estimate commuters’ Willingness To Pay (WTP) for a set of key PHEV-specific attributes. The decomposition effect of prospective owners’ sociodemographic characteristics and trip characteristics on the mean estimates of random parameters was investigated by developing ML models with heterogeneity. Subsequently, the influence of improvement of each PHEV-specific attribute on prospective owners’ choice probability was investigated by calculating marginal effects. Among the various PHEV-specific attributes considered in the present study, high WTPs are observed for decrease in battery recharging time, reduction in tailpipe emission and increase in electric range. Therefore, an added emphasis on these attributes by vehicle manufacturers is likely to enhance the attractiveness of PHEVs to Indian commuters. The results also highlight the importance of government subsidy for promoting PHEVs in the Indian market. Prospective owners’ income, availability of home-based parking space, and average daily trip length are found to significantly influence the choice decision of Indian commuters towards PHEVs.

scholarly journals Income Inequality and Population Health: A Global Gradient?

2018 ◽  
Vol 59 (4) ◽  
pp. 536-553 ◽  
Author(s):  
Michaela Curran ◽  
Matthew C. Mahutga
Keyword(s):  
Economic Development ◽  
Income Inequality ◽  
Population Health ◽  
Fixed Effects ◽  
Harmful Effect ◽  
Fixed Effects Models ◽  
Two Measures ◽  
The Relationship ◽  
Lower Population ◽  
Cross National

Cross-national empirical research about the link between income inequality and population health produces conflicting conclusions. We address these mixed findings by examining the degree to which the income inequality and health relationship varies with economic development. We estimate fixed-effects models with different measures of income inequality and population health. Results suggest that development moderates the association between inequality and two measures of population health. Our findings produce two generalizations. First, we observe a global gradient in the relationship between income inequality and population health. Second, our results are consistent with income inequality as a proximate or conditional cause of lower population health. Income inequality has a 139.7% to 374.3% more harmful effect on health in poorer than richer countries and a significantly harmful effect in 2.1% to 53.3% of countries in our sample and 6.6% to 67.6% of the world’s population but no significantly harmful effect in richer countries.

Regional Structure and Economic Development

2013 ◽  
pp. 153-176
Author(s):  
David S. Bieri
Keyword(s):  
Economic Development ◽  
Regional Differences ◽  
Fixed Effects ◽  
Local Economic Development ◽  
Regional Growth ◽  
Explanatory Power ◽  
Principal Component ◽  
The One ◽  
Classification Of Regions ◽  
Economic Regions

This chapter investigates several aspects of how local economic development and growth are shaped by regional differences in industrial structure on the one hand and interregional linkages on the other hand. The author begins by proposing an alternative regional classification of regions for U.S. Metropolitan Statistical Areas (MSAs) on the basis of clusters that were formed by principal component analysis from economic variables that are relevant for regional growth. These variables include labor productivity growth, measures of local industry mix, human capital, entrepreneurship, and innovation. He then uses these growth-based regional clusters to control the presence of cluster-specific fixed-effects when explaining the spatial characteristics of urban specialization and concentration in the United States. The empirical validity of these new economic regions are evaluated against alternative established classifications such as the BEA Regions, Crone’s (2005) Economic Regions, the Census Regions, and the Federal Reserve Districts. Looking specifically at the empirics of regional growth both in a traditional ß-convergence setting as well as a dynamic panel setting, the author examines the explanatory power of regional differences in economic structure such as industry concentration, employment specialization, and sectoral diversity.

Tax Systems, Economic Development, and Good Governance

2016 ◽  
pp. 156-175 ◽  
Author(s):  
Savaş Çevik
Keyword(s):  
Economic Development ◽  
Natural Resource ◽  
Good Governance ◽  
Institutional Development ◽  
Mena Region ◽  
Mena Countries ◽  
Tax Regimes ◽  
Tax Systems ◽  
Tax Ratios ◽  
Tax Structures

The chapter examines tax structure and its relation to good governance and economic development in the MENA countries. First, it discusses how different tax systems and tax structures in the region compared with other countries. MENA region can be characterized with low level of tax-to-GDP ratio compared to other groups of countries. However, tax systems considerably diverge within the region. Most importantly, whether having hydrocarbon revenues meaningfully divides the region's countries with respect to tax composition, tax levels, tax ratios and tax regimes. Literature suggests that natural resource revenue is also an important determinant of governance and institutional development that have impact on economic development, while good governance, a more legitimate and responsive state is an essential factor for a more adequate level of tax effort. Therefore, the second section of the study examines the relationships between taxation and good governance with emphasis on the MENA region.

scholarly journals Influence of Electronic-Docking Stations on China’s Dockless Bikesharing Programs: Evidence from Beijing

2020 ◽  
Vol 12 (9) ◽  
pp. 3588
Author(s):  
Xiaofang Yang ◽  
Hai Jiang
Keyword(s):  
Logit Model ◽  
Regression Models ◽  
Stated Preference ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Choice Probability ◽  
Monthly Income ◽  
The Sustainable Development ◽  
Physical Exercises ◽  
Research Questions

Electronic-docking stations have been proposed and tested by some Chinese cities to address the issue of disorderly parking of dockless bikesharing programs. We study the influence of electronic-docking stations on dockless bikesharing programs, and measure and explain riders’ preferences toward dockless bikesharing and electronic-docking stations. These research questions are addressed by a mixed logit model and regression models based on stated preference survey data collected in Beijing. We obtain some interesting empirical results which offer some guidance for governments and operators to facilitate the sustainable development of dockless bikesharing programs. For instance, we find that riders are sensitive to the density for electronic-docking stations, but somewhat indifferent to the rental fee of 1–2 yuan for each ride; the choice probability of riding a dockless shared bike drops by about 8–9% when access or egress time increases by 5 min; the fraction of riders interested in dockless bikesharing programs is close to 100%, while launching electronic-docking stations reduces this number to 88%; riders are willing to pay about 1.0–1.1 yuan to save access or egress time by 5 min; riders who live or work away from public transit stations or who often engage in physical exercises are interested in dockless bikesharing programs; and riders indifferent to the introduction of electronic-docking stations mainly include those who are above 26 years old and those with monthly income less than or equal to 8000 yuan.

The Pathway to Improving Human and Economic Development: Girls’ Secondary Education, Governance, and Education Expenditures

Social Forces ◽  
2020 ◽  
Vol 99 (1) ◽  
pp. 205-229 ◽  
Author(s):  
Jamie M Sommer ◽  
Kathleen M Fallon
Keyword(s):  
Economic Development ◽  
Secondary Education ◽  
Gender Equity ◽  
Fixed Effects ◽  
Education Spending ◽  
Middle Income ◽  
Equity In Education ◽  
Extensive Field ◽  
Education Expenditures ◽  
Education Enrollment

Abstract An extensive field of research identifies girls’ secondary education as central to improving human and economic development. Despite improvements in girls’ secondary education enrollment, there are still over 34 million female adolescents out of school—the majority in developing nations. While gender equity in education has improved, girls still lag behind boys in secondary education enrollments. Building on existing research, we argue that the failures of education spending in creating equitable access to secondary education are due to a lack of governance. We contend that strong governance has the potential to increase the effectiveness of education expenditures at improving female secondary education relative to males. Using two-way fixed effects models for a sample of 105 low and middle-income nations from 1997 to 2012, we examine how the interaction between four measures of governance and education expenditures impact gender equity in secondary education. Our findings suggest that governance increases the effectiveness of education expenditures in improving girls’ secondary education enrollment compared to males.

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