Six years since democratically taking power, President Chen Shui-bian's (陳水扁) administration has failed to redress the injustice done to tens of thousands of small landowners whose land was seized as a result of the Chinese Nationalist Party's (KMT) Land Reform Act (實施耕者有其田條例) implemented in 1953.
Transitional justice is an academic term that enjoys a great deal of currency in the Chen administration. It refers to the attempts of newly democratic countries to right wrongs committed by earlier authoritarian governments.
While the Chen administration has managed to render some transitional justice to the victims of the 228 Incident and to at least publicize the issue of the KMT's stolen assets, nothing has been done for the victims of the KMT's land reform.
To implement its land reform program, the KMT government classified Taiwanese farmers as landlords or tenant farmers. The term "landlord" became a synonym for a class of exploiters who were to be eliminated, while "tenant farmer" referred to the vast numbers of the poor who were being exploited.
Research on the KMT's land policy in China, however, shows that the KMT classified and defined farming households very differently before it came to Taiwan.
In 1928, the Central Land Commission issued a survey on land holdings in rural China. The survey divided farming households into five classes: poor peasants, middle class peasants, rich peasants, small and medium sized landlords and large scale landlords.
It defined a small landlord as one who owned the equivalent of 3.07 hectares of land. By this standard, only 6.77 percent of Taiwan's peasant households in the early 1950s qualified as small landlords.
In 1933, the Cabinet issued another study defining Chinese landlords as those who owned at least 5.12 hectares. By this standard, just 2.88 percent of Taiwan's landowners would have qualified as landlords.
And in 1941, the Bureau of Statistics defined a landlord as someone owning 18.41 hectares. By this standard, just 0.9 percent of Taiwan's farming households would have qualified. The Bureau of Statistics identified 1,545 such landlords in its study covering 89 counties in 11 Chinese provinces.
The results of these studies showed that the vast majority of Taiwanese farming households owned less farmland than landlords in China did.
But when the KMT carried out land reform in Taiwan, it reclassified farming households and redefined the meaning of landlord. In effect, practically anyone who rented out land was classified as a landlord, no matter how little land he actually owned.
The result was that a total of 106,049 households were classified as landlords. The vast majority were in fact land owners who rented out land that they owned. Most owned no more than a few thousand square meters. Nevertheless, if these owners had rented their land out, it was appropriated and they lost their titles.
Deprived of the title to their land, many of these former landowners fell into poverty. A contemporary team of observers estimated that more than 2 million people were affected.
Those in power controlled and manipulated land reform in Taiwan by controlling and manipulating the classification and definition of agrarian households to suit their changing needs. The Taiwanese landowners who held titles to their land were of course given no say in the matter.
More than 50 years later, those small landowners -- unfairly labeled landlords -- are still waiting for justice.
Hsu Shih-jung is a professor in the Department of Land Economics at National Chengchi University.
Translated by Michael Fahey
As the Chinese Communist Party (CCP) and its People’s Liberation Army (PLA) reach the point of confidence that they can start and win a war to destroy the democratic culture on Taiwan, any future decision to do so may likely be directly affected by the CCP’s ability to promote wars on the Korean Peninsula, in Europe, or, as most recently, on the Indian subcontinent. It stands to reason that the Trump Administration’s success early on May 10 to convince India and Pakistan to deescalate their four-day conventional military conflict, assessed to be close to a nuclear weapons exchange, also served to
The recent aerial clash between Pakistan and India offers a glimpse of how China is narrowing the gap in military airpower with the US. It is a warning not just for Washington, but for Taipei, too. Claims from both sides remain contested, but a broader picture is emerging among experts who track China’s air force and fighter jet development: Beijing’s defense systems are growing increasingly credible. Pakistan said its deployment of Chinese-manufactured J-10C fighters downed multiple Indian aircraft, although New Delhi denies this. There are caveats: Even if Islamabad’s claims are accurate, Beijing’s equipment does not offer a direct comparison
After India’s punitive precision strikes targeting what New Delhi called nine terrorist sites inside Pakistan, reactions poured in from governments around the world. The Ministry of Foreign Affairs (MOFA) issued a statement on May 10, opposing terrorism and expressing concern about the growing tensions between India and Pakistan. The statement noticeably expressed support for the Indian government’s right to maintain its national security and act against terrorists. The ministry said that it “works closely with democratic partners worldwide in staunch opposition to international terrorism” and expressed “firm support for all legitimate and necessary actions taken by the government of India
Taiwan aims to elevate its strategic position in supply chains by becoming an artificial intelligence (AI) hub for Nvidia Corp, providing everything from advanced chips and components to servers, in an attempt to edge out its closest rival in the region, South Korea. Taiwan’s importance in the AI ecosystem was clearly reflected in three major announcements Nvidia made during this year’s Computex trade show in Taipei. First, the US company’s number of partners in Taiwan would surge to 122 this year, from 34 last year, according to a slide shown during CEO Jensen Huang’s (黃仁勳) keynote speech on Monday last week.
RSS