Viewpoint: Regulating meat consumption to improve health,the environment and animal welfare

Meat consumption has increased significantly in the last 50 years. This trend raises various health and environmental issues, as well as moral concerns regarding farm animal welfare. In this paper, we discuss the regulation of meat consumption in developed countries. Specifically, we discuss possible justifications for this regulation in terms of environmental, health and animal welfare considerations, as well as the effect of fiscal, informational and behavioral regulatory instruments. Finally, we present a list of challenges that policy makers and food scholars may need to confront in the future.     

Basel regulations and banks’ efficiency: The case of the Philippines

Using stochastic frontier analysis, this paper has examined the impact of Basel II on the cost efficiency of Philippine commercial banks from 2001 to 2011. The overall mean cost efficiency estimate is 0.75, indicating substantial inefficiencies in the banks averaging to 25% of total costs. Findings show that higher capital requirement tends to improve the cost efficiency but more powerful supervisors can adversely affect the efficiency of the banks. The other potential correlates that may help explain the efficiency of the banks are risk and asset quality and bank-specific variables. From a policy perspective, this study is informative to policymakers on the general direction in which to proceed with reforms (i.e., maintain higher capital requirements, curtail powerful supervisors, and enhance private monitoring) and in identifying factors that could contribute to banks’ efficiency especially in light of the newly implemented Basel III in the country. In effect, this paper also assesses the readiness of the banks toward the implementation of Basel III.     

Trade Liberalization and Environmental Taxation in Federal Systems

The literature on trade liberalization and environment has not yet considered federal structures. In this paper, we show how the design of environmental policy in a federal system has implications for the effects of trade reform. Trade liberalization leads to a decline in pollution taxes, regardless of whether pollution taxes are set at the federal (centralized) or local (decentralized) level, and it increases social welfare. The effect under a decentralized system is smaller than if these taxes are set by the federal government, and pollution emissions therefore decline in this case. Moreover, majority bias interacts with trade liberalization if federal taxes are used.     

Energy efficiency promotion backfires under cap-and-trade

Major climate-cum-energy policies and respective impact projections rest on the widespread belief that increased energy efficiency can be equated with savings in energy use and emissions. This belief is flawed. Due to the rebound effect emissions savings from energy efficiency improvements will be generally less than what is technically feasible, or even be reversed. By means of an analytical general equilibrium model we demonstrate the latter to be true in a case that is both stark and relevant: if electricity generation is subject to a cap-and-trade scheme with partial coverage, increased efficiency of electric devices leads unambiguously to increased carbon emissions. The result implies that a proper distinction between the energy rebound and the carbon rebound is warranted, and that public policy must carefully consider the interactions between energy efficiency promotion and carbon pricing.     

TFP growth in Chinese cities: The role of factor-intensity and industrial agglomeration

This article estimates agglomeration effects via calculating EG (Elilsion & Glaeser) and TFP growth (Total Factor Production) by considering the undesired output of the industrial enterprise database and the entropy weight method. Using panel data of 207 county-level cities in China and 28 two-digit manufacturing industries from 2003 to 2013 based on SIC codes, this paper analyzes the relationship between agglomeration and TFP growth through the smooth transition model under different regions and factor-intensity. The results are as follows. (1) A negative relationship appears in manufacturing productivity. The agglomeration effect changes to the crowded effect. Environmental pollution is also generated by transportation and inadequate pollution treatment technology. (2) The excessive agglomeration phenomenon of developed areas (eastern region) is less than the less developed areas (central and western regions). (3) Resource-intensity industries present two thresholds that indicate complex regional features. For various intensive industries in different regions, the relationship between GML and agglomeration is different. High agglomeration does not always promote TFP growth. (4) At different levels of urban industrial agglomeration, the influences of efficiency change and technical change on GML are different. Overall, moderate agglomeration in all regions helps promote economic development.     

Simulated economic impacts in applied trade modelling: A comparison of tariff aggregation approaches

This paper assesses the performance of two recently developed tariff aggregators in reducing tariff aggregation bias by analysing Swiss beef market liberalisation scenarios. Specific relevant sources of bias are addressed: substitution effects on import demand, Tariff Rate Quotas and overprotection in tariffs. The aggregators are linked to a global large-scale partial equilibrium model and benchmarked against a standard aggregator. The choice of the aggregation method shows considerable effects on simulated economic impacts, specifically if the dispersion in tariffs or tariff cuts is large. A large bias is revealed in simulated gains from trade liberalisation using the standard aggregator. The impacts on traded quantities are found to be overestimated, while price and welfare effects can be higher or lower by switching to alternative aggregation methods. By reducing aggregation bias and depicting negotiated tariff schedules more directly, the proposed aggregators enhance the contribution of trade modelling to evidence-based policy making.     

Quantile spillovers and dependence between Bitcoin,equities and strategic commodities

This paper has two aims. We first examine the dynamic spillovers between Bitcoin and 12 developed equities, gold, and crude oil for different market conditions using a Bayesian Time-Varying Parameter Vector Autoregressive (TVP-VAR) model with daily spot prices. Our econometric approach enables us to capture the left and right tails as well as the shoulders of the return distribution corresponding to volatility spillovers under the bear, normal, and bull market states among these financial assets. We quantify and trace the dependence and directional predictability from Bitcoin to other assets using the sample cross-quantilogram. Our key findings offer convincing evidence of time variation in the level of volatility. Spillovers between Bitcoin and other financial assets intensify during extreme global market conditions. Secondly, results from the cross-quantilogram indicate strong dependence and positive directional predictability between Bitcoin and most equities and crude oil when market returns are bullish. However, during the bearish market period, there is negative dependence and predictability from Bitcoin to stocks in Finland, the Netherlands, the U.S.A, and the crude oil market only. This implies that Bitcoin can act as a hedge to stocks in Finland, the Netherlands, the U.S.A, and the crude oil market. However, insignificant dependence and directional predictability from Bitcoin to the remaining assets indicate that Bitcoin may act as a safe-haven to these assets during bearish markets. Our findings hold important implications for both international investors and portfolio managers who consider Bitcoin as part of their portfolio diversification and other investment strategies.     

Does algorithmic trading harm liquidity? Evidence from Brazil

This paper provides the first evidence of algorithmic trading (AT) reducing liquidity in the Brazilian equities market. Our results are contrary to the majority of work which finds a positive relationship between AT and liquidity. Using the adoption of a new data center for the B3 exchange as an exogenous shock, we report evidence that AT increased realized spreads in both firm fixed-effects and vector autoregression estimates for 26 stocks between 2017 and 2018 using high-frequency data. We also provide evidence that AT increases commonality in liquidity, evidencing correlated transactions between automated traders.     

The Role of Inflation Target Adjustment in Stabilization Policy

How and under what circumstances can adjusting the inflation target serve as a stabilization-policy tool and contribute to welfare improvement? We answer these questions quantitatively with a standard New Keynesian model that includes cost-push-type shocks. Our proposed inflation target rule calls for the target to be adjusted in a persistent manner and in the opposite direction to the realization of a cost-push shock, which is essentially a makeup strategy. The inflation target rule, combined with a Taylor-type rule, significantly reduces inflation fluctuations originating from cost-push shocks and mitigates the stabilization trade-off, resulting in a similar level of welfare to that associated with the Ramsey optimal policy.     

Monetary Policy Transmission with Interbank Market Fragmentation

This paper shows how interbank market fragmentation disrupts the transmission of monetary policy. Fragmentation is the fact that banks, depending on their country of location, have different probabilities of default on their interbank borrowings. Once fragmentation is introduced into standard theoretical models of monetary policy implementation, excess liquidity arises endogenously. This leads short-term interest rates to depart from the central bank policy rates. Using data on monetary policy operations, I show that this mechanism has been at work in the euro area since 2008. The model is used to analyze conventional and unconventional monetary policy measures.