scholarly journals Predicting Nonfarm Employment

2020 ◽  
Author(s):  
Tarun Bhatia
Keyword(s):  
Nonfarm Employment

scholarly journals Determinants of Rural Out-Migration in Habru District of Northeast Ethiopia

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Beneberu Assefa Wondimagegnhu ◽  
Mesfin Eshetu Zeleke
Keyword(s):  
Rural Communities ◽  
Sampling Technique ◽  
Positive Outcome ◽  
Individual Characteristics ◽  
Primary Data ◽  
Scarce Resources ◽  
Northeast Ethiopia ◽  
Household Heads ◽  
Nonfarm Employment ◽  
Land Size

Migration has become a cause of concern at the global, regional, and national levels. Like the case of many developing countries, Ethiopia has been facing increasing challenges related to rural out-migration. This study aimed to analyze factors that determine rural communities’ decision to migrate to internal and international destinations in Habru district of Northeast Ethiopia. Stratified sampling technique has been employed to select a total of 200 household heads in three agroecologies of the study area. Structured questionnaires have been used as a principal primary data collection method and logistic regression has been employed for analysis. The results of the study showed that intravillage conflict, absence of relief assistant, livestock ownership, farm land size, access to information, and household and individual characteristics including family size, sex, and age of the migrants are the dominant determinant factors for rural out-migration. Migration can have a positive outcome in improving livelihoods if comprehensive and holistic policies and strategies are in place. There is also a need to strengthen the link between rural development policy and the disadvantaged groups by designing and implementing different livelihood alternatives including reducing pressure on scarce resources particularly land, integrating health and education services, and creating nonfarm employment opportunities.

Complete Count of U.S. Transportation Workforce

2000 ◽  
Vol 1719 (1) ◽  
pp. 259-266
Author(s):  
Basav Sen ◽  
Michael A. Rossetti
Keyword(s):  
The United States ◽  
Double Counting ◽  
Transportation Industry ◽  
Industry Data ◽  
Definition Of ◽  
Nonfarm Employment ◽  
Employment Data ◽  
Transportation Activity ◽  
The U.S ◽  
Complete Count

Described are the development and application of an original methodology for a comprehensive and consistent count of transportation-related employment in the United States. In addition, the study represents a general example of how transportation analysts can effectively use and combine classification-based data to answer specific crosscutting questions. The method involved computing the union of two different sets of transportation employment data: transportation industry data, counting all workers in industries that provide or support transportation, and transportation occupational data, counting all workers performing transportation functions. A union, instead of a straightforward sum, was used to avoid double counting of workers employed in the defined transportation and transportation-related industries. A broad definition of transportation-related industries and occupations was used, allowing a complete accounting of employment generated by transportation in the economy. It was concluded that transportation industries account for 13 million workers, or about 10 percent of total nonfarm employment of 128.4 million, and transportation occupations outside of transportation industries accounted for another 3.5 million workers, or about an additional 3 percent of nonfarm employment. Thus, about 16.5 million workers either work directly in or support transportation activity in the U.S. economy; this constitutes about 13 percent—approximately 1 in 8 jobs—of the nonfarm workforce.

Nonfarm employment and household food security: evidence from panel data for rural Cambodia

Food Security ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 703-718 ◽  
Author(s):  
Truong Lam Do ◽  
Trung Thanh Nguyen ◽  
Ulrike Grote
Keyword(s):  
Food Security ◽  
Panel Data ◽  
Household Food Security ◽  
Household Food ◽  
Nonfarm Employment

Factors affecting the intensity of nonfarm participation among ethnic minorities in Northwest Mountains, Vietnam

2016 ◽  
Vol 43 (4) ◽  
pp. 417-430 ◽  
Author(s):  
Tuyen Quang Tran ◽  
Huong Van Vu ◽  
Tinh Thanh Doan
Keyword(s):  
Ethnic Minorities ◽  
Content Type ◽  
Factors Affecting ◽  
Job Opportunities ◽  
Fixed Assets ◽  
Econometric Evidence ◽  
Education Levels ◽  
The Mean ◽  
Nonfarm Employment ◽  
Fractional Logit Model

Purpose – Little econometric evidence exists on the determinants of nonfarm participation among ethnic minorities in Vietnam. The purpose of this paper is to examine the intensity of nonfarm participation and its correlates among ethnic minority households in Northwest Mountains – the poorest region of Vietnam. Design/methodology/approach – Factors affecting the level of nonfarm participation were examined by using a fractional logit model. In addition, regression analysis using analysis of variance models were used to compare the mean of household characteristics and assets between households with and without nonfarm employment. Findings – The study found that households depended heavily on agriculture for subsistence and their access to nonfarm employment is very limited. Households with nonfarm employment had much higher levels of education, income, assets and a much lower level of poverty than those without nonfarm participation. The intensity of nonfarm participation is positively associated with education levels, proportion of male working members and fixed assets but negatively correlated with the size of annual crop land and water surface for aquaculture. Also, the presence of nonfarm opportunities and paved roads in a commune increases the intensity of nonfarm participation for households living in that commune. Practical implications – The findings suggest that any poverty alleviation policies should aim at improving the access of ethnic minorities to education and nonfarm job opportunities. Originality/value – The study offers the first evidence of factors affecting the intensity of nonfarm participation among ethnic minorities in the study area.

How does nonfarm employment stability influence farmers' farmland transfer decisions? Implications for China’s land use policy

2018 ◽  
Vol 74 ◽  
pp. 66-72 ◽  
Author(s):  
Baozhong Su ◽  
Yuheng Li ◽  
Lequn Li ◽  
Yue Wang
Keyword(s):  
Land Use ◽  
Land Use Policy ◽  
Employment Stability ◽  
Nonfarm Employment ◽  
Transfer Decisions

Rural nonfarm employment and farming: household-level linkages

2009 ◽  
Vol 40 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Benjamin Davis ◽  
Paul Winters ◽  
Thomas Reardon ◽  
Kostas Stamoulis
Keyword(s):  
Household Level ◽  
Farming Household ◽  
Nonfarm Employment

Rural Nonfarm Employment in Developing Countries

1980 ◽  
Vol 28 (2) ◽  
pp. 227-248 ◽  
Author(s):  
Dennis Anderson ◽  
Mark W. Leiserson
Keyword(s):  
Developing Countries ◽  
Nonfarm Employment

Rural nonfarm employment in developing countries in an era of globalization

2007 ◽  
Vol 37 ◽  
pp. 173-183 ◽  
Author(s):  
Thomas Reardon ◽  
Kostas Stamoulis ◽  
Prabhu Pingali
Keyword(s):  
Developing Countries ◽  
Nonfarm Employment

scholarly journals Are Service-Sector Jobs Inferior?

1994 ◽  
pp. 1-4
Author(s):  
Mark E. Schweitzer ◽  
Max Dupuy
Keyword(s):  
Service Sector ◽  
High Wage ◽  
Nonfarm Employment ◽  
New Jobs

In recent years, U.S. service-producing industries have, on net, added jobs more rapidly than the goods-producing industries. Since the end of 1990, jobs in the service-producing sector have increased 4.1 percent overall, while goods-producing employment has shrunk 5.6 percent." During the same period, total nonfarm employment has risen 1.9 percent. A number of commentators have used these basic statistics to paint a bleak picture: The economy is creating some new jobs and employing a few more people, but only in low-wage service positions; meanwhile, the old high-wage manufacturing jobs are disappearing.

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