All Aboard: The Effects of Port Development

Ducruet, César; Juhász, Réka; Nagy, Dávid Krisztián; Steinwender, Claudia

doi:10.3386/w28148

Cited by 19 publications

(13 citation statements)

References 39 publications

(64 reference statements)

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“…Table 5 shows a highly significant negative correlation between the control function “predicted household rent in/out rate” and the potential endogenous variable “whether the household participates in the land rental market”. A possible reason is that the farmland resources in the prefecture-level city are limited, and the land rental behavior of other villages crowds out the village farmland demand [ 34 ]. The results for the Hhlandin_cf and Hhlandoff_cf both show that the control functions included in the production efficiency equation are significant.…”

Section: Resultsmentioning

confidence: 99%

How Does the Land Rental Market Participation Affect Household Efficiency? Evidence from Rural China

Guo

Shi

Zheng

et al. 2022

IJERPH

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The active land rental market affects inter-household efficiency. Using nationally representative household panel data in China from 2017 to 2019, we estimate rural household efficiency with consideration of diversification, and analyze the effect of land rental market participation on household efficiency using a control function approach. Results show that: (1) the mean technical efficiency and allocative efficiency were 0.45 and 0.64 in 2017 and 0.44 and 0.66 in 2019, respectively, suggesting the existence of efficiency loss; (2) land rented-in activities improve rural households’ technical efficiency but not allocative efficiency; (3) land rented out activities decrease household technical efficiency but increase allocative efficiency. Further analysis showed that farm size heterogeneity might be the main reason for the efficiency difference. Households with large farms and plot sizes on rented land have significant advantages in technical efficiency and insignificant impacts on allocative efficiency. The results explain why the land rental market promotes efficient land transfer, but households with a large farm size are still rare in rural areas. Finally, we provide suggestions on how to stimulate the land rental market under diversification circumstances.

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Section: Resultsmentioning

confidence: 99%

How Does the Land Rental Market Participation Affect Household Efficiency? Evidence from Rural China

Guo

Shi

Zheng

et al. 2022

IJERPH

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show abstract

“…1 The tractability of our approach is evinced by the number of recent working papers who have proposed extensions to it since its original dissemination. These include extending the framework to consider multiple types of transportation networks and transshipment (as in Fan, Lu, and Luo (2019) and Fan and Luo (2020), respectively), extending the framework to include endogenous development of transportation capabilities in locations (as in Ducruet, Juhász, Nagy, Steinwender, et al (2020)), and extending the framework to multiple sectors with economies of scale in traffic rather than traffic congestion (as in Ganapati, Wong, and Ziv (2020)).…”

Section: Optimal Routing In Two Spatial Modelsmentioning

confidence: 99%

The Welfare Effects of Transportation Infrastructure Improvements

Allen

Arkolakis²

2022

The Review of Economic Studies

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Each year in the U.S., hundreds of billions of dollars are spent on transportation infrastructure and billions of hours are lost in traffic. We develop a quantitative general equilibrium spatial framework featuring endogenous transportation costs and traffic congestion and apply it to evaluate the welfare impact of transportation infrastructure improvements. Our approach yields analytical expressions for transportation costs between any two locations, the traffic along each link of the transportation network, and the equilibrium distribution of economic activity across the economy, each as a function of the underlying quality of infrastructure and the strength of traffic congestion. We characterize the properties of such an equilibrium and show how the framework can be combined with traffic data to evaluate the impact of improving any segment of the infrastructure network. Applying our framework to both the U.S. highway network and the Seattle road network, we find highly variable returns to investment across different links in the respective transportation networks, highlighting the importance of well-targeted infrastructure investment.

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“…Other technologies, in particular automation technology like robots (Graetz and Michaels, 2018;Acemoglu and Restrepo, 2020), and trade (Autor et al, 2016) have been shown to be important factors in explaining employment trends. Given the strong geographic concentration of the manufacturing sector, and the potential spatial impact of changes in trade technology (Ducruet et al, 2019), these are complementary mechanisms that a↵ect not only the aggregate changes in employment, but also the distribution of jobs in space. Furthermore, the long-run e↵ects of technology may also work through the interaction with labor supply by changing skill accumulation and education decisions as in Dvorkin and Monge-Naranjo (2019).…”

Section: The Rise Of It In the Estimated Modelmentioning

confidence: 99%

IT and Urban Polarization

Eeckhout¹,

Hedtrich

Pinheiro

2021

Working Paper (Federal Reserve Bank of Cleveland)

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We show that di↵erential IT investment across cities has been a key driver of job and wage polarization since the 1980s. Using a novel data set, we establish two stylized facts: IT investment is highest in firms in large and expensive cities, and the decline in routine cognitive occupations is most prevalent in large and expensive cities. To explain these facts, we propose a model mechanism where the substitution of routine workers by IT leads to higher IT adoption in large cities due to a higher cost of living and higher wages. We estimate the spatial equilibrium model to trace out the e↵ects of IT on the labor market between 1990 and 2015. We find that the fall in IT prices explains 50 percent of the rising wage gap between routine and non-routine cognitive jobs. The decline in IT prices also accounts for 28 percent of the shift in employment away from routine cognitive towards non-routine cognitive jobs. Moreover, our estimates show that the impact of IT is uneven across space. Expensive locations have seen a stronger displacement of routine cognitive jobs and a larger widening of the wage gap between routine and non-routine cognitive jobs.

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All Aboard: The Effects of Port Development

Cited by 19 publications

References 39 publications

How Does the Land Rental Market Participation Affect Household Efficiency? Evidence from Rural China

How Does the Land Rental Market Participation Affect Household Efficiency? Evidence from Rural China

The Welfare Effects of Transportation Infrastructure Improvements

IT and Urban Polarization

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