scholarly journals Smallholder Agricultural Investment and Productivity under Contract Farming and Customary Tenure System: A Malawian Perspective

Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 277 ◽  
Author(s):  
Emmanuel Olatunbosun Benjamin
Keyword(s):  
Land Tenure ◽  
Smallholder Farmers ◽  
Investment Decision ◽  
Sub Saharan Africa ◽  
Future Research ◽  
Tenure Security ◽  
Agricultural Investment ◽  
Investment Decision Making ◽  
Linear Probability ◽  
The Impact

Land tenure security, especially customary residence systems, is found to influence the agricultural investment decision-making and productivity of smallholder farmers across sub-Saharan Africa. However, as country-specific customary residence systems and farming models evolve over time, their impact on food security and livelihood remains unclear. This study investigates the impact of customary residence systems on both agricultural investment (in tea shrubs and agroforestry) and productivity among contracted smallholder tea outgrowers in Southern Malawi. A survey of 228 farmers was conducted in 2018, and a linear probability and ordinary least squared (OLS) models were used for the analysis. The results suggest that matrilocal residence practices positively influence agricultural investment. The study concluded that despite the dominance of matrilineal-matrilocal systems in Southern Malawi, there is a need for policy to address gender gaps in the region because women are still vulnerable and insecure even in these assumed women-friendly customary systems. It is recommended that future research explores other prevailing tenure security systems.

Behavioural biases in investment decision making – a systematic literature review

2015 ◽  
Vol 7 (1) ◽  
pp. 88-108 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Investment Decision ◽  
Future Research ◽  
Behavioural Finance ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose – The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research. Design/methodology/approach – We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013. Findings – Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias. Research limitations/implications – This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection. Originality/value – The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.

scholarly journals Land Tenure and Technical Efficiency of Smallholder Tea Producers: The Case of Ya’An City, China

2021 ◽  
Vol 24 (2) ◽  
pp. 21-34
Author(s):  
Abrham Tezera Gessesse ◽  
Ge He
Keyword(s):  
Technical Efficiency ◽  
Land Tenure ◽  
Smallholder Farmers ◽  
Farm Size ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Tenure Security ◽  
Tea Production ◽  
Stochastic Production ◽  
The Impact

70 percent of the world and 80 percent of China’s tea production produced by smallholder farmers. However, the tea production per unit area significantly unchanged in the past decades. Understanding factors affecting the technical efficiency of smallholder tea producers is very important to maximize tea production. Aimed at examining the impact of land tenure security and land certification on smallholder tea producers’ technical efficiency, this paper employs the Cobb- Douglas Stochastic Production Frontier (CD-SPF) and Translog Stochastic Production Frontier (TL- SPF) methods for Maximum Likelihood Estimate (MLE) with cross-sectional data collected from 161 randomly selected tea farm plot households in Ya’an city, China. We found that an 1 mu (0.067 ha) increase in the tea farm size will produce a 1.086 tea yield advantage for smallholder tea farmers. We also found that the values of input-output elasticity of land size, household income and labor decrease in turn with 0.144, 0.105 and 0.010 respectively. The results show that farm size is a more crucial input for tea production than income and labor. Moreover, we identify the determinations which enhance the technical efficiency of smallholder tea producers such as land certification, land tenure security age, education, farming experience, total farm size holding, chemical fertilizer, plot steepness and plot distance from home and find that the elimination of land tenure insecurity through land registration and certification makes a clear difference in that. We therefore recommend that tea farmland need to expand and enlarge for better production through comprehensive land consolidation program. We also suggest endorsing the land certificates of all land holders as this will help improve land tenure security, enhance technical efficiency and promote the tea production of smallholder producers.

scholarly journals Towards poverty alleviation in developing countries: An empirical study of the impact of land tenure reforms in Kati, Mali

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0246502
Author(s):  
Brahima Coulibaly ◽  
Gideon Sagoe ◽  
Li Shixiang
Keyword(s):  
Land Tenure ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Poverty Rate ◽  
Appropriate Technology ◽  
Sub Saharan Africa ◽  
Land Access ◽  
Land Titles ◽  
The Impact

Post-colonial land tenure reforms in emerging countries have partly aimed at poverty reduction through equitable land access. However, the poverty rate keeps rising in rural and peri-urban settings in Sub-Saharan Africa dominated by agricultural activities. This article reviews land tenure reforms in Mali, from the year 2000 to 2017 regarding poverty alleviation and evaluates their impacts on indigenous smallholder farmers, using multiple linear and logistic regression models and local experts’ elicitations. The results indicate that the advent of land titles as the only definitive evidence of land ownership, following the reforms, has generally weakened customary land management. Smallholder farmers face several barriers to obtaining land titles, limiting equity in land access and security. This has paved way for land markets marred by irregularities and resulted in colossal loss of agricultural lands, which are the main source of rural livelihood. Thus, the reforms have not yielded the intended poverty reduction outcomes. The study recommends that land transfers must be authorised by a single institution, represented at the various administrative levels, which issues an authentic and incorruptible document using appropriate technology. Moreover, since pro-poor provisions in the reforms usually lack implementing decrees in Mali, political will is key to achieving equitable land access and security.

scholarly journals Impact of Heuristics on Investment Decisions: The Moderating Role of Locus of Control

2020 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Jeetendra Dangol ◽  
Rashmita Manandhar
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Investment Decision ◽  
Investment Decisions ◽  
Sampling Procedure ◽  
Moderating Effect ◽  
Moderation Effect ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact

This paper aims to assess the impact of heuristics on the investment decision by analysing the effect of four heuristic biases, i.e., representativeness, availability, anchoring and adjustment, and overconfidence bias on rationality of Nepalese investor's investment decision-making and also examines the moderating effect of the internal locus of control in between. The study used 391 respondents based on a convenient sampling procedure, and structured questionnaire survey. The study result indicates that there is a significant relationship between irrationality in investment decision-making and all four heuristic biases. In addition, the study also concludes that locus of control has significant moderating effect in the relationship between investment decisions and three heuristic biases, i.e., availability, representative and anchoring bias. However, the study documents no moderation effect in case of relationship with overconfidence bias.

Insider Trading Laws and Corporate Governance Impact on Investment Decision

2021 ◽  
Vol 3 (2) ◽  
pp. 126-137
Author(s):  
Sadaf Khan ◽  
Ubaid Ur Rehman
Keyword(s):  
Corporate Governance ◽  
Insider Trading ◽  
Positive Impact ◽  
Investment Decision ◽  
Investment Decisions ◽  
Future Research ◽  
Good Corporate Governance ◽  
Governance Practices ◽  
The Government ◽  
The Impact

This research aims to analyze the impact of insider trading laws and corporate governance on investment decisions. For this purpose, the data of 400 potential and actual investors employed who provided their feedback on a structured questionnaire. When the data is collected, it was cleaned. The normality of data and reliability of items were also checked and within limits. Simple Regression was applied to test hypotheses. It was concluded that the perception of insider trading laws and corporate governance have a positive impact on investment decisions. The study has wide implications and the government and corporation both can be beneficial from its insight and findings, and exercise good corporate governance practices and follow stringent insider trading laws. The study also paves the way for future research.

scholarly journals Research on Power Grid Investment Assistant Decision Model Adapting to Power Reform Situation

2020 ◽  
Vol 218 ◽  
pp. 02026
Author(s):  
Yidi Wan ◽  
Wei Xie ◽  
Haihong Du ◽  
Wenming Pan ◽  
Jianqing Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Power Grid ◽  
Scale Structure ◽  
Leading Role ◽  
Investment Decision Making ◽  
Investment Structure ◽  
External Management ◽  
Power Grid Planning ◽  
The Impact

in order to thoroughly implement the new energy security strategy of “four revolutions and one cooperation”, meet the requirements of power grid planning and management of energy administration, realize the strategic objectives of State Grid Corporation of China, actively respond to the severe external economic situation, alleviate the impact of policy-based price reduction, and improve the performance of internal investment management, the company needs scientific front-end decision-making, improve the efficiency of investment decision-making, scientifically determine the investment scale, structure and timing, and play a strategic leading role in investment decision-making. Through the analysis of internal and external management requirements, this paper constructs an auxiliary decision-making model of power grid investment to support the determination of investment scale, structure and time sequence, to realize the reasonable investment scale calculation of provincial companies, the calculation of investment structure of different voltage levels and the optimization of project delivery under the condition of given investment scale, which comprehensively considers the external supervision, economic development and internal management objectives, so as to assist the prior investment decision-making, improve the input-output efficiency, effectively improve the Advisory decision-making ability of investment data, and meet the company’s investment decision-making needs.

scholarly journals Assessing the Impact of Outbreaks on Malaysian Listed Property Companies in Mixed-Asset Portfolios

2021 ◽  
Vol 29 (3) ◽  
pp. 87-93
Author(s):  
Muhammad Najib Razali ◽  
Rohaya Abdul Jalil ◽  
Ahmad Faisal Shayuti
Keyword(s):  
Institutional Investors ◽  
Investment Decision ◽  
Point Of View ◽  
Decision Making Process ◽  
Health Crisis ◽  
Real Issue ◽  
Investment Decision Making ◽  
Property Companies ◽  
High Volatility ◽  
The Impact

Abstract This paper assesses the impact of outbreaks from the perspective of volatility of Malaysian Listed Property Companies in mixed-asset portfolios, concentrating on periods of time between outbreaks. The real issue of this study is the health crisis that has troubled institutional investors, as it has already significantly impacted the returns on investments. Investors need to be better informed on the impact of health outbreaks on investments in order to minimize their impact. To assess the impact of the outbreaks, the GARCH method has been employed to examine the dynamic volatility of listed property companies in mixed-asset portfolios. The volatility level will give investors better information from point of view of the dynamics of volatility of the Malaysian listed property companies’ performance within mixed-asset portfolios. The findings show that listed property companies demonstrate high volatility compared to other mixed-asset portfolios during the periods of outbreaks. This indicates Malaysian listed property companies were the most volatile investment in mixed-asset portfolios. This empirical study will contribute significantly to institutional investors, especially in terms of the investment decision-making process during outbreaks.

scholarly journals Impact of Behavioral Biases on Investment Decision Making with Moderating Role of Financial Literacy

2018 ◽  
Vol 6 (2) ◽  
pp. 34-41
Author(s):  
Rizwan Khalid ◽  
◽  
Muhammad Javed ◽  
Khurram Shahzad ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Financial Literacy ◽  
Positive Impact ◽  
Investment Decision ◽  
Structure Questionnaire ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact ◽  
Moderating Role

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

scholarly journals The use of tools and approaches of system dynamics in the analysis of the efficiency of BIM implementation and its impact on the management and planning of investments in the construction sector

2019 ◽  
Vol 279 ◽  
pp. 01011
Author(s):  
Martin Hotový
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Dynamic Model ◽  
Investment Decision ◽  
Construction Sector ◽  
Strategic Investment ◽  
Investment Projects ◽  
Investment Decision Making ◽  
Proposed Model ◽  
The Impact

This paper presents the use of tools and approaches of system dynamics in the analysis of the efficiency of BIM tools implementation in relation to the management and planning of investments in the construction sector. The dynamic model based on the approach of system dynamics allows to simulate the impact rate (range) of BIM implementation in strategic investment decision-making in the construction sector. Based on the analysis, the key parameters critically affecting the large construction investment projects are determined. The proposed model is implemented as a submodel in the dynamic model designed for potential refinements in the strategic planning of the extent of investments into projects of civil infrastructure of the Czech Republic. The model allows to test different strategies in the virtual world before their implementation. The prediction of future developments based on the proposed model allows to streamline planning and decision-making processes.

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