Land rental markets and labor productivity: Evidence from rural China

This study investigates the impact of the land rental market on labor productivity in rural China. Particular attention is given to farm and nonfarm labor productivity. Using 2012 household‐level data and a multinomial endogenous switching treatment regression technique, we find that rural households renting in farmland increased labor productivity in the farm sector by about 55%, whereas labor productivity in the nonfarm sector decreased by about 6%. We also find that rural households renting out farmland had lower labor productivity in both the farm and nonfarm sectors by 13% and 9%, respectively. More family labor transferred from the farm to the nonfarm sector after renting out land.     

A Minimax Regret Approach to Decision Making Under Uncertainty

We propose a minimax regret approach to optimal factor demand under uncertainty. Regret is the deviation of any given decision from the optimal decision based on a specified set of possible scenarios for the uncertain variables. This approach does not require the specification of instrumental variables to control for unobserved states of nature, and also does not require specification of the number of possible states in advance. Importantly, ex post production shocks can be estimated using our approach, and full statistical inferences can be obtained. Econometric techniques are based on Bayesian analysis using Markov Chain Monte Carlo techniques. A substantive empirical application is provided to illustrate the new approach.     

Share repurchases and accounting conservatism

Review of Quantitative Finance and Accounting - The prior literature indicates that financial policy (e.g., payout policy) as well as accounting policy (e.g., conservatism) can be used to address...     

Enhancing food security through diet quality: The role of nonfarm work in rural India

India has achieved food security at the macro level. However, at the micro level, the country still struggles with extensive problems of food nutrition insecurity. In this paper, we assess the impact of nonfarm income and nonfarm work status (casual and full-time nonfarm work) of operator, spouses, and couples on the diet quality of smallholder households in India. We find that nonfarm income decreases the likelihood of farming household being in the poor-diet quality group by 31% and the medium-diet quality group by 3%. Full-time nonfarm work by operators and spouses decreases the likelihood of farming households being in the poor-diet quality group by 3% and 9%, respectively. Finally, national programs like public food distribution programs increase the probability of rural farming households in the poor-diet quality group. Findings from this study underscore the importance of nonfarm income and full-time nonfarm work in improving diet quality of rural Indian households.     

A supply‐side analysis of agritourism: Evidence from farm‐level agriculture census data in Taiwan

Due to consumers’ increased demand for leisure and farmers’ need for income diversification, researchers and policymakers have significant interest in topics related to agritourism. This study provides a supply‐side analysis on agritourism using Taiwan as a case study. Utilising a sample of 720,148 family farms from the 2010 agriculture census survey in Taiwan, we quantify the effects of engaging in the agritourism business on farm income, on farm succession, and on family members’ labour supply decisions between on‐farm and off‐farm work. An analytical framework that combines the doubly robustness regression model and semiparametric estimation is proposed to address the endogeneity bias. Results indicate that participation in agritourism increases farm income and family farm succession. Farms engaging in agritourism also have more family members working on the farm, and fewer family members working off‐farm, compared to farms not engaging in agritourism. Although agritourism enterprises are developed to meet consumers’ demand for leisure, our results show that they also improve the economic welfare of farm households.     

Burden,pattern and outcomes of road traffic injuries in a rural district of India

Road traffic injuries (RTIs) are a leading public health problem and the understanding of RTIs in rural India is limited. The present report documents the burden, pattern, characteristics and outcomes of RTIs in a rural district of India using combined data sources: police and hospital. RTIs contributed for 38% of fatal and 39% of non-fatal injuries with an annual mortality rate of 18.1/100,000 population/year. Young males were affected most and two-wheeler users and pedestrians were involved in 45% and 20% of fatal crashes, respectively. Nearly half (51%) of fatal RTIs occurred on national highways of the district; 46% died immediately at the site. Among those hospitalised, 20% were under the influence of alcohol while use of helmets and seat belts was <5%. Trauma care was deficient in the district leading to greater number of referrals. Road safety should be given high importance in rural India with a focus on safe roads, safe vehicles and safe people along with trauma care.     

Welfare implications of reduced government subsidies to farm families: accounting for fringe benefits

In the past three decades, farm families have relied on government payments and off‐farm income to reduce income risk and increase total household income. Studies have shown that, as the income effect dominates, government payments tend to reduce off‐farm labor of farm operators and spouses. But that may not be true if one accounts for fringe benefits associated with off‐farm employment. Additionally, with looming budget deficits and the possibility of a reduction in decoupled government payments, farm families may be facing an altered economic environment. Our study addresses this issue by examining the links between government farm program payments and the ever‐important role of fringe benefits in the off‐farm employment of farm couples. Results from farm‐level data actually show that the marginal effect of government payments on hours worked off‐farm will decrease in magnitude when accounting for fringe benefits, ceteris paribus. These results support the notion that farm households’ welfare loss stemming from reduced decoupled payments may be overstated when models exclude fringe benefits from the estimation of off‐farm labor supply.     

Pirates and traders: Some economics of pirate-infested seas

Even where all agents are risk-neutral, merchants can insure themselves against piracy. Such self-insurance is surprisingly invulnerable to moral hazard. Further, there exist a patrolling intensity and/or penalties for captured pirates which, along with mercantile self-insurance, could eliminate piracy.     

Do Proprietary Algorithmic Traders Withdraw Liquidity during Market Stress?

We investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. Using order‐level data from the National Stock Exchange of India, we find that proprietary algorithmic traders increase limit order supply following periods of both high short‐term stock‐specific volatility and extreme stock price movement. Even following periods of high marketwide volatility, they do not decrease their supply of liquidity. We define orders from high‐frequency traders as a subclass of orders from proprietary algorithmic traders that are revised in less than three milliseconds. The behavior of high‐frequency trading mimics the behavior of its parent class. This is inconsistent with the theory that fast traders leave the market when stress situations arise, although their limit‐order‐supplying behavior becomes weaker when the increase in short‐term volatility is more informational than transitory. Agency algorithmic traders and nonalgorithmic traders behave opposite to proprietary algorithmic traders by reducing the supply of liquidity during stress situations. The presence of faster traders in the market possibly instills the fear of adverse selection in them. We document that the order imbalance of agency algorithmic traders is positively related to future short‐term returns, whereas the order imbalance of proprietary algorithmic traders is negatively related to future short‐term returns.     

Competitiveness and trade potential of India’s dairy industry

India has become the world’s largest milk producer but its dairy industry lacks market access. This paper determines how world dairy policy reforms would affect dairy production and trade in India and the competitiveness of its dairy industry. We measure nominal protection coefficient for India’s dairy products to determine level and change in competitiveness between 1975 and 2001. We estimate parameters of domestic demand for and supply of raw milk and whole milk powder to determine how a world price increase would affect domestic milk production and whole milk powder exports. Results show that India’s dairy products lack export competitiveness. But with less distorted world dairy markets, India could be competitive and would emerge as a net exporter of whole milk powder, benefiting dairy industries and milk producers in India.