Illegal fishing and catch potentials among small-scale fishers: application of an endogenous Switching regression model

2013 ◽  
Vol 19 (2) ◽  
pp. 156-172 ◽  
Author(s):  
Wisdom Akpalu ◽  
Ametefee K. Normanyo
Keyword(s):  
Regression Model ◽  
Small Scale ◽  
Switching Regression ◽  
Endogenous Switching Regression ◽  
Fish Stocks ◽  
Illegal Fishing ◽  
Using Data ◽  
Fishing Behavior ◽  
The Relationship ◽  
Fishing Regulations

AbstractCapture fish stocks are facing an increasing threat of extinction, partly due to the use of illegal fishing methods. In developing coastal countries – where fishing activities are the mainstay of the population along the coast – livelihoods are being directly threatened. Although a number of studies exist on fishing regulations and those who violate them, little has been done on the relationship between intrinsic catch potentials/fishing skills and illegal fishing behavior. Using data on violations of light attraction regulation among small-scale fishers in Ghana, our results show that the risk of punishment, the amount of fishing experience, the skipper's age, and religious norms all influence the decision to violate fishing regulations. Most importantly, we found that violators and non-violators have different fishing skills. Consequently, policies targeting illegal fishing must focus on equalizing efficiency and/or fishing skills among the fishermen as well as on traditional variables that influence violation decisions.

scholarly journals Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon

2021 ◽  
Vol 13 (11) ◽  
pp. 5964
Author(s):  
Louis Atamja ◽  
Sungjoon Yoo
Keyword(s):  
Regression Model ◽  
Rural Household ◽  
Household Welfare ◽  
Switching Regression ◽  
Probit Regression ◽  
Credit Constraint ◽  
Endogenous Switching Regression ◽  
North West ◽  
The North ◽  
West Region

The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.

Revisiting the Relationship Between Marketing Education and Marketing Career Success

2017 ◽  
Vol 39 (2) ◽  
pp. 109-123 ◽  
Author(s):  
Donald R. Bacon
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Career Success ◽  
Academic Major ◽  
Marketing Education ◽  
Classic Article ◽  
Using Data ◽  
The Relationship

In a replication of a classic article by Hunt, Chonko, and Wood, regression analysis was conducted using data from a sample of 864 marketing professionals. In contrast to Hunt, Chonko, and Wood, an undergraduate degree in marketing was positively related to income in marketing jobs, but surprisingly, respondents with some nonmarketing majors earned about the same as marketing majors in marketing jobs. Satisfaction with a marketing career was not significantly related to academic major. The income regression model explained 30% of the variance in marketing income, which is an improvement over the earlier study, but also indicates that most of the variance in marketing success is not explained by education. Implications are discussed.

MODELING THE PHILLIPS CURVE IN CHINA: A NONLINEAR PERSPECTIVE

2016 ◽  
Vol 21 (2) ◽  
pp. 439-461 ◽  
Author(s):  
Lingxiang Zhang
Keyword(s):  
Regression Model ◽  
Inflation Rate ◽  
Phillips Curve ◽  
Smooth Transition ◽  
Short Term ◽  
Smooth Transition Regression ◽  
Using Data ◽  
Smooth Transition Regression Model ◽  
Economic Growth Rates ◽  
The Relationship

This paper investigates the nonlinear dynamics of the inflation–output type of Phillips curve based on a multiple-regime smooth transition regression model using data from China. The empirical results indicate significant nonlinearities in China's Phillips curve. The relationship between inflation and output can be modeled by a four-regime smooth transition regression model in which the responses of inflation to output depend on both inflation and economic growth rates. The inflation–output type Phillips curve may be positively sloped, negatively sloped, or even vertical in the short term, depending on different business cycles. Furthermore, we analyze business cycle fluctuations based on the nonlinear Phillips curve, indicating a coexisting zone of stable inflation rate and rapid growth rate.

The Effects of Behavioral Factors on the Creditworthiness of Small-Scale Enterprises

2018 ◽  
pp. 100-114 ◽  
Author(s):  
Dmitry Shevchenko ◽  
Ellah Igoche Godwin
Keyword(s):  
Regression Model ◽  
Small Businesses ◽  
Small Scale ◽  
Behavioral Factors ◽  
Access To Credit ◽  
The One ◽  
The Relationship

This chapter uses the relationship between behavioral factors and the creditworthiness of small-scale enterprises to increase access of SMEs to credit facilities. The inability of several small businesses to secure loans cannot be overemphasized. Heuristics affecting entrepreneurs are explained in this chapter, and a regression model showing the dependence of creditworthiness on behavioral factors is proposed. If banks consider using psychometric tools in testing for creditworthiness of small-scale entrepreneurs, access to credit facilities will be significantly increased and businesses will flourish. Regressesion models such as the one explained in this chapter may be imbedded in psychometric tools to enhance creditworthiness testing and improve the quality of loans that banks give.

Cotton Yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Muhammad Masood Anwar ◽  
Aisha Siddiqua ◽  
Aftab Anwar ◽  
Jamshaid Ur Rehman
Keyword(s):  
Climate Change ◽  
Regression Model ◽  
Management Practices ◽  
Household Survey ◽  
Switching Regression ◽  
Cotton Yield ◽  
Sources Of Information ◽  
Cotton Production ◽  
Endogenous Switching Regression ◽  
Endogenous Switching

Purpose:Cotton is the backbone of Pakistan economy, as country is the 4th largest producer of cotton in the world. Despite this importance there is steep decline in cotton production over time due to climate change. The need to evaluate the potential of adaptation in improving cotton yield has necessitated this study. Design/Methodology/Approach:This study is based on the farm household survey of four cotton producing districts, two from each Punjab and Sindh that were purposively selected from heat stress regions of Pakistan. Data were analyzed through multinomial endogenous switching regression model and treatment effect framework. Findings:Farm management practices were evaluated for their significance in reducing adverse impacts of climatic extremes on cotton yield. Adaptation in the combination of first three strategies observed to be the most successful strategies in increasing yield. Implications/Originality/Value:For effective adaptation access to credit and extension, education, farming experience, and sources of information revealed to be important predictors

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